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GdF 3 :Yb3+,Ho3+@void@SiO 2 wire-in-tube structured nanofibers (WITSN) with bifunctional characteristic of up-conversion luminescence and magnetism properties are successfully obtained by self-created technique combining monoaxial electrospinning and single-crucible fluorination technology. The products are pure orthorhombic phase. GdF 3 :Yb3+,Ho3+@void@SiO 2 WITSN exhibit large specific surface area and distinctive void space structure. The unique structure of the prepared nanofibers expands the new field of one-dimensional special morphology nanomaterials. In addition, GdF 3 :Yb3+,Ho3+@void@SiO 2 WITSN have the bifunctionality of excellent up-conversion luminescent and paramagnetic properties. Materials have broad applications prospects in display, lighting, optical imaging, magnetic resonance imaging, and biomedicine. This work presents an innovative and high-efficient approach to construct photoluminescence-magnetism bifunctional GdF 3 :Yb3+,Ho3+@void@SiO 2 WITSN, providing a new idea for the preparation of coated structured nanomaterials with excellent multifunctional characteristics. [Display omitted] [ABSTRACT FROM AUTHOR]

Optical coherence tomography and electroretinography studies have revealed structural and functional retinal alterations in individuals with schizophrenia spectrum disorders (SSDs). However, it remains unclear which specific retinal layers are affected; how the retina, brain, and clinical symptomatology are connected; and how alterations of the visual system are related to genetic disease risk. Optical coherence tomography, electroretinography, and brain magnetic resonance imaging were applied to comprehensively investigate the visual system in a cohort of 103 patients with SSDs and 130 healthy control individuals. The sparse partial least squares algorithm was used to identify multivariate associations between clinical disease phenotype and biological alterations of the visual system. The association of the revealed patterns with individual polygenic disease risk for schizophrenia was explored in a post hoc analysis. In addition, covariate-adjusted case-control comparisons were performed for each individual optical coherence tomography and electroretinography parameter. The sparse partial least squares analysis yielded a phenotype-eye-brain signature of SSDs in which greater disease severity, longer duration of illness, and impaired cognition were associated with electrophysiological alterations and microstructural thinning of most retinal layers. Higher individual loading onto this disease-relevant signature of the visual system was significantly associated with elevated polygenic risk for schizophrenia. In case-control comparisons, patients with SSDs had lower macular thickness, thinner retinal nerve fiber and inner plexiform layers, less negative a-wave amplitude, and lower b-wave amplitude. This study demonstrates multimodal microstructural and electrophysiological retinal alterations in individuals with SSDs that are associated with disease severity and individual polygenic burden. [ABSTRACT FROM AUTHOR]

Depression is a significant public health concern. Identifying biopsychosocial risk factors for depression is important for developing targeted prevention. Studies have demonstrated that blunted striatal activation during reward processing is a risk factor for depression; however, few have prospectively examined whether adolescent reward-related resting-state functional connectivity (rsFC) predicts depression symptoms in adulthood and how this relates to known risk factors (e.g., childhood trauma). At baseline, 66 adolescents (mean age = 14.7, SD = 1.4, 68 % female) underwent rsFC magnetic resonance imaging and completed the Children's Depression Inventory (CDI). At follow-up (mean time between adolescent scan and adult follow-up = 10.1 years, SD = 1.6, mean adult age = 24.8 years, SD = 1.7), participants completed the Childhood Trauma Questionnaire (CTQ) and Beck Depression Inventory– Second Edition (BDI-2). Average rsFC was calculated between nodes in mesocorticolimbic reward circuitry: ventral striatum (VS), rostral anterior cingulate cortex (rACC), medial orbitofrontal cortex, and ventral tegmental area. Linear regressions assessed associations between rsFC, BDI-2, and CTQ, controlling for adolescent CDI, sex assigned at birth, and scan age (Bonferroni corrected). Greater childhood trauma was associated with higher adulthood depression symptoms. Stronger VS-rACC rsFC during adolescence was associated with greater depression symptoms in adulthood and greater childhood trauma. The small sample size, limited depression severity, and seed-based approach are limitations. The associations between adolescent striatal-cingulate rsFC and childhood trauma and adult depression symptoms suggest this connectivity may be an early neurobiological risk factor for depression and that early life experience plays an important role. Increased VS-rACC connectivity may represent an over-regulatory response on the striatum, commonly reported in depression, and warrants further investigation. • Depression rates are rising and childhood trauma is a risk factor for depression. • Trauma-exposed and depressed populations show reward-related neural aberrations. • Adolescent reward-related neural aberrations were related to adulthood depression. • Childhood trauma was associated with the same adolescent neural aberrations. • Further investigation of biopsychosocial risk factors of depression is needed. [ABSTRACT FROM AUTHOR]

In the treatment of chronic lateral ankle instability (CLAI), the repair of the calcaneofibular ligament (CFL) and anterior talofibular ligament (ATFL) is still being discussed, possibly due to the difficulty in assessing CFL injuries. In particular, it is challenging to evaluate the extent of CFL deficiency quantitively. We hypothesized that CFL tension change would alter morphology of the CFL on magnetic resonance imaging (MRI) and that measuring this morphological change allows assessing CFL injury quantitatively. Thus, this study aimed to analyze the feasibility of quantitatively assessing CFL injuries using MRI. Sixty-four ankles with CLAI were included and divided into two groups: with (ATFL and CFL group, 31 ankles) or without CFL repair (ATFL group, 33 ankles) in addition to arthroscopic ATFL repair. The angle between the CFL and calcaneal axis (CFLCA) and the bending angles of the CFL was defined as the flexed CFL angle (FCA) were measured on the oblique CFL view of preoperative MRI. The diagnostic abilities of these angles for CFL injury and correlations between these angles and stress radiographs were analyzed. The sensitivity and specificity of CFLCA were 86.7 % and 88.7 %, and those of FCA were 63.3 % and 77.4 %, respectively. The combination of CFLCA and FCA improved the sensitivity to 93.3 %. The cutoff points of CFLCA and FCA were 3.8° and 121.2°, respectively. There were significant moderate and weak correlations between the talar tilting angle and CFLCA or FCA (rs = −0.533, and rs = −0.402, respectively). The CFLCA and FCA were significantly smaller in the ATFL and CFL group than those in the other groups. Measurement of CFLCA and FCA in oblique CFL view on MRI could be useful for the quantitative evaluation of CFL injury in patients with CLAI． Level IV. case-control study. [ABSTRACT FROM AUTHOR]

Based on the available evidence, this systematic review indicates that screening programmes have the potential to be cost effective when a risk-based approach and incorporation of magnetic resonance imaging are taken into account. However, determinants of cost effectiveness require further investigation. In Europe, prostate cancer (PCa) is the most common cancer in men. Screening may therefore be crucial to lower health care costs, morbidity, and mortality. This systematic review aimed to provide a contemporary overview of the costs and benefits of PCa screening programmes. A peer-reviewed literature search was conducted, using the PICO method. A detailed search strategy was developed in four databases based on the following key search terms: "PCa", "screening", and "cost effectiveness". Any type of economic evaluation was included. The search strategy was restricted to European countries, but no restrictions were set on the year of publication. A total of 7484 studies were identified initially. Of these, 19 studies described the cost effectiveness of PCa screening in Europe. Among the studies using an initially healthy study population, most focussed on risk- and/or age- and/or magnetic resonance imaging (MRI)-based screening in addition to prostate-specific antigen (PSA) testing and compared this with no screening. Incremental cost ratios (ICERs) varied from €5872 per quality-adjusted life year (QALY) to €372 948/QALY, with a median of €56 487/QALY. Risk-based screening followed by MRI testing seemed to be a more cost-effective strategy than no screening. This systematic review indicates that screening programmes incorporating a risk-based approach and MRI have the potential to be cost effective. In this review, we looked at the cost effectiveness of prostate cancer screening in Europe. We found that a risk-based approach and incorporation of magnetic resonance imaging has the potential to be cost effective. However, there remains a knowledge gap regarding cost effectiveness of prostate cancer screening. Therefore, determinants of cost effectiveness require further investigation. [ABSTRACT FROM AUTHOR]

• Perinatal egg yolk intake increased executive and cerebellar functional activation • Maternal egg yolk supplementation enhanced hippocampal and cerebellar fiber length • Egg yolk supplementation to sows altered behavioral outcomes in piglets at weaning • Perinatal egg yolk intake may be associated with neurodevelopment in offspring Maternal nutrition during the perinatal stage is critical to offspring brain development. Egg yolks are a balanced and nutrient-dense food that is rich in bioactive components crucial to optimal neurodevelopment early in life. Egg consumption is often recommended to pregnant women to enhance both maternal and fetal health. We hypothesized that maternal intake of egg yolk from late gestation and throughout lactation would enhance functional organization and cognitive developmental outcomes in offspring using a pig model. Sows were fed a control diet (n = 6) or a diet containing egg yolks (n = 5, 350 mg egg yolk powder/kg BW/day, equivalent to ∼3 eggs/day for humans) from late gestation through lactation. At weaning, piglet offspring (n = 2/sow, total n = 22) underwent structural magnetic resonance imaging (MRI) and resting-state-functional MRI. Piglets underwent novel object recognition testing to assess hippocampal-dependent learning and memory. Functional MRI results demonstrated that egg yolk significantly increased functional activation in the executive network (p = 0.0343) and cerebellar network (p = 0.0253) in piglets when compared to control. Diffusion tensor imaging analysis showed that perinatal intake of egg yolks significantly increased white matter fiber length in the hippocampus (p = 0.0363) and cerebellum (p = 0.0287) in piglet offspring compared to control piglets. Furthermore, piglets from egg yolk-fed sows spent significantly more proportional frequency exploring the novel object than the familiar object in novel object recognition testing (p = 0.0370). The findings from this study support egg yolk-altered activation of specific brain networks may be associated with functional cognitive outcomes in weaning piglets. Egg yolks are a nutrient-dense food often recommended for consumption during the perinatal stage to have a positive influence on neurodevelopmental outcomes in offspring. Using a sow and piglet translational model, we saw that perinatal egg yolk supplementation increased functional activation in the executive network and cerebellar network, increased white matter fiber length in the hippocampus and cerebellum, and increased hippocampal-dependent behavioral outcomes in weaning piglet offspring. [Display omitted] [ABSTRACT FROM AUTHOR]

To evaluate predictors of contralateral clinically significant prostate cancer (csPCa) in men with biopsy-proven unilateral lesions on magnetic resonance imaging (MRI). We retrospectively identified men with no prior diagnosis of PCa with unilateral biopsy-confirmed csPCa within PI-RADS 2-5 lesions within our institutional biopsy database. Multivariate logistic regression was used to identify clinical predictors of contralateral disease. Four hundred ninety men met study inclusion criteria, of which 385 men (78.6%) had no contralateral csPCa and 105 men (21.4%) had contralateral csPCa (Fig. 1). Prior negative biopsy (OR 0.34 [0.14, 0.75], P =.012), prostate-specific antigen density (OR 18.8 [2.77, 249], P =.017), and tumor location in the transverse plane ("Posterior": OR 1.93 [1.02, 3.87], P =.048; "Throughout Transverse Plane": OR 6.56 [2.26, 19.6], P <.001) were significantly associated with contralateral csPCa in multivariate logistic regression models. However, there appear to be no attributes within the MRI-targeted tumor that reliably predict contralateral csPCa (Table 2). Approximately 20% of men with unilateral MRI findings and csPCa on targeted biopsy were found to have contralateral csPCa on systematic biopsy (SB). Prior negative biopsy was associated with a decreased odds of contralateral csPCa. Prostate-specific antigen density and tumor in the posterior aspect of or throughout the transverse plane were associated with increased odds of contralateral csPCA. Consideration of these clinical factors may afford an opportunity to only use SB in cases in which the odds of contralateral csPCa are high. [ABSTRACT FROM AUTHOR]

Acute encephalopathy with biphasic seizures and late reduced diffusion (AESD) is the most common encephalopathy syndrome among Japanese children. We report, for the first time, a case of AESD, in which magnetic resonance imaging (MRI) showed no diffusion abnormalities, but hyperperfusion was detected by arterial spin labelling (ASL). A previously healthy Japanese 1-year and 5-month-old boy was transferred to our hospital due to a consciousness disorder after >60 min of status epilepticus on the first day of fever. Brain MRI on the first day revealed no abnormal findings. On the fourth day, focal seizures of the left upper and lower limbs were observed. Thereafter, the patient's condition progressed without seizures. Diffusion-weighted imaging (DWI) on day 6 showed no abnormal findings, including a bright tree appearance. However, ASL showed hyperperfusion in the frontoparietal lobes. MRI scans on days 19 and 39 revealed that the hyperperfusion lesions on day 6 had transitioned to hypoperfusion on ASL and displayed high signal intensity on T2-weighted and fluid-attenuated inversion recovery imaging. Cerebral atrophy was also observed. Based on the clinical course and imaging findings during the chronic phase, a diagnosis of AESD was made. ASL may be more sensitive than DWI for detecting AESD lesions and should be performed in children with suspected AESD. [ABSTRACT FROM AUTHOR]

Chorea is a common movement disorder in children, requiring thorough clinical assessment and appropriate tests for etiological diagnosis. Early identification of treatable conditions can lead to effective treatment, reducing morbidity and improving quality of life. To describe the clinical, demographic, and epidemiological characteristics of children and adolescents diagnosed with chorea. A retrospective cross-sectional study of pediatric patients treated in a fourth-level hospital in Bogotá, Colombia, from January 2008 to January 2022. 81 patients with chorea were found. The most frequent etiologies were rheumatic fever (50.6 %), vascular chorea (29.3 %), and chorea secondary to lupus (11.1 %). Patients with chorea secondary to rheumatic fever (Sydenham's chorea) were older compared to other etiologies, 10.36 ± 3.41 years vs 8.29 ± 5.16, p = 0.037. The presence of another movement disorder or abnormalities during the physical examination suggests a different etiology from rheumatic fever. Moreover, the presence of psychiatric symptoms was similar in all etiologies. However, a correlation between age and psychiatric symptoms was observed with an odds ratio of 1.14 95 % CI 1.02–1.29 per year. Red flags in Sydenham's chorea suggesting an alternate etiology are younger age, the presence of other abnormal movements or other findings in the neurological exam or in the magnetic resonance imaging. No significant statistical differences were found between the etiologies with the presence of neuro-psychiatric manifestations. Nevertheless, these manifestations are very frequent in abnormal movements. This study evidenced the positive correlation between age and the presence of psychiatric symptoms. [ABSTRACT FROM AUTHOR]

Intraoperative neuromonitoring (IONM) alert is one of the worrying events of kyphosis corrective surgery, which can result in a postoperative neurological deficit. To our knowledge, there is no risk prediction score to predict such events in patients undergoing kyphosis surgery. To develop a new preoperative MRI-based cord morphology classification (CMC) and risk prediction score for predicting IONM alerts in patients with kyphotic deformity. Retrospective analysis of prospectively collected data. About 114 patients undergoing surgical correction for kyphotic deformity. Intraoperative neuromonitoring alerts and postoperative neurological status using AIS grading. Kyphotic deformity patients undergoing posterior spinal fusion were retrospectively reviewed. Based on the morphology of the spinal cord and surrounding CSF in MRI, there are 5 types of cord. Type 1 (normal cord): circular cord with surrounding visible CSF between the cord and the apex, Type 2 (flattened cord): cord with <50% distortion at the apex with obliteration of the anterior CSF; Type 3 (deformed cord): cord with >50% distortion at the apex with complete obliteration of the surrounding CSF; Type 4 (stretched cord): the cord is stretched and atrophied over the apex of the curve. Type 5 (translated cord): horizontal translation of the cord at the apex with buckling collapse of the vertebral column. Preoperative radiographs were used to measure the preoperative sagittal cobbs angle, sagittal deformity angular ratio (S-DAR), sagittal vertical axis (SVA), apex of the curve, and type of kyphosis. Clinical data like the duration of symptoms, clinical signs of myelopathy, neurological status (AIS grade), grade of myelopathy using the mJOA score, and type of osteotomy were documented. Multivariate logistic regression was used to determine the risk factors for IONM alerts and the risk prediction score was developed which was validated with new cohort of 30 patients. A total of 114 patients met the inclusion criteria. IONM alerts were documented in 33 patients (28.9%), with full recovery of the signal in 25 patients and a postoperative deficit in 8 patients. Rate of IONM alerts was significantly higher in Type 5 (66%), followed by Type 4 (50%), Type 3 (21.1%), Type 2 (11.1%), and Type 1 (11.1%) (p-value<.001). Based on multiple logistic regression, 7 factors, namely preoperative neurological status, mJOA score≤6, presence of signs of myelopathy, apex of the curve above T5, preoperative sagittal cobbs, S-DAR, and MRI-based CMC, were identified as risk predictors. The value for the risk factors varies from 0 to 4, and the maximum total risk score was 13. The cut-off value of 6 had good sensitivity (84.9%) and specificity (77.8%) indicating a high risk for IONM alerts. The AUC of the predictive model was 0.92, indicating excellent discriminative ability. We developed and validated a risk predictive score that identifies patients at risk of IONM alerts during kyphosis surgery. Identification of such high-risk patients (risk score≥6) helps in proper evaluation and preoperative counselling and helps in providing a proper evidence-based reference for treatment strategies. [ABSTRACT FROM AUTHOR]

Degenerative cervical myelopathy (DCM) is characterized by spinal cord atrophy. Accurate estimation of spinal cord atrophy is key to the understanding of neurological diseases, including DCM. However, its clinical application is hampered by difficulties in its precise and consistent estimation due to significant variability in spinal cord morphometry along the cervical spine, both within and between individuals. To characterize morphometrics of the compressed spinal cord in DCM patients. We employed our semiautomated analysis framework that incorporates the Spinal Cord Toolbox (SCT) and a normalization approach to effectively address the challenges posed by cord compression in these patients. Additionally, we examined the clinical relevance of these morphometric measures to enhance our understanding of DCM pathophysiology. Prospective study. This study investigated 36 DCM patients and 31 healthy controls (HCs). Clinical scores including 9-hole peg test for hand dexterity, hand grip strength, balance, gait speed, modified Japanese Orthopaedic Association (mJOA) score, and imaging-based spinal cord morphometrics. Using the generic spine acquisition protocol and our semiautomated analysis pipeline, spinal cord morphometrics, including cross-sectional area (CSA), anterior-posterior (AP) and transverse (RL) diameters, eccentricity, and solidity, were estimated from sagittal T2w magnetic resonance imaging (MRI) images using the Spinal Cord Toolbox (SCT). Normalized metrics were extracted from the C1 to C7 vertebral levels and compared between DCM patients and HC. Morphometric data at regions of maximum spinal cord compression (MSCC) were correlated with the clinical scores. A subset of participants underwent follow-up scans at 6 months to monitor longitudinal changes in spinal cord atrophy. Spinal cord morphometric data were normalized against the healthy population morphometry (PAM50 database) and extracted for all participants. DCM patients showed a notable reduction in CSA, AP, and RL diameter across all vertebral levels compared to HC. MSCC metrics correlated significantly with clinical scores like dexterity, grip strength, and mJOA scores. Longitudinal analysis indicated a decrease in CSA and worsening clinical scores in DCM patients. Our processing pipeline offers a reliable method for assessing spinal cord compression in DCM patients. Normalized spinal cord morphometrics, particularly the CSA could have potential for monitoring DCM disease severity and progression, guiding treatment decisions. Furthermore, to our knowledge our study is the first to apply the generic spinal cord acquisition protocol, ensuring consistent imaging across different MRI scanners and settings. Coupled with our semiautomated analysis pipeline, this protocol is key for the detailed morphometric characterization of compressed spinal cords in patients with DCM, a disease that is both complex and heterogenous. This study was funded by the National Institute of Neurological Disorders and Stroke (NINDS) (K23:NS091430) and (R01: NS129852-01A1). [ABSTRACT FROM AUTHOR]

Researchers have recently linked hysterectomy, which alters sex hormone levels, to diseases like osteoporosis, lumbar spondylolisthesis, hypertension and diabetes etc. However, the association between hysterectomy and lumbar disc herniation (LDH)/lumbar spinal stenosis (LSS) remains unclarified. To determine whether there is a correlation between hysterectomy and surgical intervention for LDH/LSS in women, further substantiated through imaging and clinical research. A case control and cohort study. The study group comprised 1202 female patients aged 45 and older who had undergone operative treatment due to LDH/LSS (825 for LDH and 377 for LSS), and the comparison group comprised 1168 females without lumbar diseases who visited health examination clinic during the same period. One hundred and 2 hysterectomized patients were further selected (Hysterectomy cohort) and matched approximately with the control cohort at a 1:2 ratio from the study group with a minimum follow-up of 2 years. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the association between hysterectomy and surgical intervention for LDH/LSS in women after adjusted by confounding factors. Patients from both the hysterectomy and control cohorts underwent a comprehensive assessment. This assessment included the evaluation of several parameters: the functional cross-sectional area, fat infiltration rate, relative functional cross-sectional area of the lumbar paravertebral muscles, facet joint degeneration grade, cartilage endplate damage, Modic changes for the L3/4–L5/S1 segments, Pfirrmann grade of lumbar disc degeneration, and disc height index for the L1/2–L5/S1 segments. Additionally, the Visual Analog Scale (VAS) and Japanese Orthopaedic Association (JOA) scores were recorded preoperatively and at the last follow-up. Associations between hysterectomy and patients treated surgically for LDH or LSS were analyzed using multivariate binomial logistic regression analysis. Lumbar X-ray, computed tomography (CT) and magnetic resonance imaging (MRI) were used to evaluate the imaging variables. Imaging and clinical variables were compared. Hysterectomized women were associated with requiring surgery due to LDH/LSS, with ORs of 2.613 (p<.001) and 2.084 (p=.006), respectively. The imaging evaluation further revealed that the hysterectomy cohort had more severe degeneration of the paraspinal muscles, facet joints, endplates, and intervertebral discs, Modic changes at L3/4–L5/S1 segments, and intervertebral height reduction at L1/2–L5/S1 segments when compared to the control cohort (p<.01). Compared to the control cohort, the hysterectomy cohort exhibited higher preoperative and last follow-up VAS scores for low back pain, and last follow-up JOA scores (p<.01). Based on the findings of this study, it seems that women who have had a hysterectomy are correlated with requiring surgical intervention due to LDH/LSS. Imaging and clinical studies also indicate that hysterectomized patients exhibited more severe lumbar degeneration and back pain. [ABSTRACT FROM AUTHOR]

Lumbar spinal canal stenosis (LSCS) is the most common spinal degenerative disorder in elderly people and usually first seen by primary care physicians or orthopedic surgeons who are not spine surgery specialists. Magnetic resonance imaging (MRI) is useful in the diagnosis of LSCS, but the equipment is often not available or difficult to read. LSCS patients with progressive neurologic deficits have difficulty with recovery if surgical treatment is delayed. So, early diagnosis and determination of appropriate surgical indications are crucial in the treatment of LSCS. Convolutional neural networks (CNNs), a type of deep learning, offers significant advantages for image recognition and classification, and work well with radiographs, which can be easily taken at any facility. Our purpose was to develop an algorithm to diagnose the presence or absence of LSCS requiring surgery from plain radiographs using CNNs. Retrospective analysis of consecutive, nonrandomized series of patients at a single institution. Data of 150 patients who underwent surgery for LSCS, including degenerative spondylolisthesis, at a single institution from January 2022 to August 2022, were collected. Additionally, 25 patients who underwent surgery at 2 other hospitals were included for extra external validation. In annotation 1, the area under the curve (AUC) computed from the receiver operating characteristic (ROC) curve, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, positive likelihood ratio (PLR), and negative likelihood ratio (NLR) were calculated. In annotation 2, correlation coefficients were used. Four intervertebral levels from L1/2 to L4/5 were extracted as region of interest from lateral plain lumbar spine radiographs totaling 600 images were obtained. Based on the date of surgery, 500 images derived from the first 125 cases were used for internal validation, and 100 images from the subsequent 25 cases used for external validation. Additionally, 100 images from other hospitals were used for extra external validation. In annotation 1, binary classification of operative and nonoperative levels was used, and in annotation 2, the spinal canal area measured on axial MRI was labeled as the output layer. For internal validation, the 500 images were divided into each 5 dataset on per-patient basis and 5-fold cross-validation was performed. Five trained models were registered in the external validation prediction performance. Grad-CAM was used to visualize area with the high features extracted by CNNs. In internal validation, the AUC and accuracy for annotation 1 ranged between 0.85–0.89 and 79–83%, respectively, and the correlation coefficients for annotation 2 ranged between 0.53 and 0.64 (all p<.01). In external validation, the AUC and accuracy for annotation 1 were 0.90 and 82%, respectively, and the correlation coefficient for annotation 2 was 0.69, using 5 trained CNN models. In the extra external validation, the AUC and accuracy for annotation 1 were 0.89 and 84%, respectively, and the correlation coefficient for annotation 2 was 0.56. Grad-CAM showed high feature density in the intervertebral joints and posterior intervertebral discs. This technology automatically detects LSCS from plain lumbar spine radiographs, making it possible for medical facilities without MRI or nonspecialists to diagnose LSCS, suggesting the possibility of eliminating delays in the diagnosis and treatment of LSCS that require early treatment. [ABSTRACT FROM AUTHOR]

Previous research has identified a specific subtype known as failure of pelvic compensation (FPC) in patients with adult spinal deformity (ASD). However, the criteria for assessing FPC remain inconsistent, and its impacts on spinal sagittal alignment and health-related quality-of-life (HRQoL) scores remain unclear. To propose a novel criterion for identifying FPC based on variations in spinopelvic alignment during the transition from the supine to upright position and to evaluate the effects of FPC on patients' spinal sagittal alignment and HRQoL scores. Retrospective cross-sectional study. Patients with ASD from a monocenter database. Radiographic measures, including thoracic kyphosis (TK), lumbar lordosis (LL), sacral slope (SS), pelvic tilt, pelvic incidence (PI), and sagittal vertical axis (SVA), were measured on lateral whole-spine radiographs. LL and SS were also measured on reconstructed lumbar computed tomography images in the sagittal view taken in the supine position. The relative functional cross-sectional area (rFCSA) of paraspinal muscles was evaluated via lumbar magnetic resonance imaging. HRQoL measures, encompassing visual analog scale for back pain (VAS-BP), Oswestry Disability Index (ODI), and Scoliosis Research Society-22R (SRS-22R), were collected. A total of 154 patients were enrolled. Based on the calculated minimum detectable change of SS, FPC was defined as the change in SS of less than 3.4° between supine and upright positions. Patients were divided into 3 groups: sagittal balance with pelvic compensation (SI-PC), sagittal imbalance with pelvic compensation (SI-PC), and sagittal imbalance with failure of pelvic compensation (SI-FPC). Radiographic parameters and HRQoL scores were compared among the groups. Thirty-six patients were categorized into the SB-PC group, 87 into the SI-PC group, and 31 into the SI-FPC group. Patients with low PI and small paraspinal muscles rFCSA were more prone to experiencing FPC accompanied by severe sagittal imbalance. The SI-FPC group exhibited less TK and a larger SS than the SI-PC group exhibited and had a similar SVA as that of the SI-PC group. Additionally, they displayed worse VAS-BP, ODI, SRS-function, and SRS-22 total scores than the SB-PC group displayed. In patients with ASD, an inherently low pelvic compensatory reserve and a high fatty infiltration in paraspinal muscles are pivotal factors contributing to FPC. Compared with SI-PC patients, SI-FPC patients demonstrate a thoracic-dominant compensatory pattern for sagittal malalignment. In addition, these patients experienced more severe pain and functional decline than the SB-PC patients experienced. [ABSTRACT FROM AUTHOR]

Major depression disorder (MDD) exhibits a high global incidence; however, its pathogenesis remains elusive. In this prospective study, we employed diffusion kurtosis imaging (DKI) to investigate changes in brain function among patients with MDD both pre- and post-electroconvulsive therapy (ECT). We divided a sample of 22 MDD patients into ECT group, which received six treatments over a span of two weeks, and control group (n = 12). DKI scanning was performed before and after treatment. The Hamilton Depression Rating Scale (HAMD) and Life Satisfaction Rating Scale (LSRS) were administered to assess depressive symptoms at baseline, on the 14th day, and at month three. Significant differences were found between group, time and time × group in terms of HAMD score and LSRS score. In the ECT group compared to pre- ECT measurement, changes in mean diffusivity (MD), fractional Anisotropy (FA), mean kurtosis (MK), radial kurtosis (RK), FA of kurtosis (KA), and anxia kurtosis (AK) value were detected in specific regions such as the frontal, temporal lobe, and hippocampus. In the control group only MD and RK value increased in a limited number of area. ECT holds the potential to elicit neuroplasticity in the brain, facilitating rapid structural modifications and amelioration of depressive symptoms in patients with MDD. [ABSTRACT FROM AUTHOR]

Psychological instruments that are employed to adequately explain treatment compliance and recidivism of intimate partner violence (IPV) perpetrators present a limited ability and certain biases. Therefore, it becomes necessary to incorporate new techniques, such as magnetic resonance imaging (MRI), to be able to surpass those limitations and measure central nervous system characteristics to explain dropout (premature abandonment of intervention) and recidivism. The main objectives of this study were: 1) to assess whether IPV perpetrators (n = 60) showed differences in terms of their brain's regional gray matter volume (GMV) when compared to a control group of non-violent men (n = 57); 2) to analyze whether the regional GMV of IPV perpetrators before starting a tailored intervention program explain treatment compliance (dropout) and recidivism rate. IPV perpetrators presented increased GMV in the cerebellum and the occipital, temporal, and subcortical brain regions compared to controls. There were also bilateral differences in the occipital pole and subcortical structures (thalamus, and putamen), with IPV perpetrators presenting reduced GMV in the above-mentioned brain regions compared to controls. Moreover, while a reduced GMV of the left pallidum explained dropout, a considerable number of frontal, temporal, parietal, occipital, subcortical and limbic regions added to dropout to explain recidivism. Our study found that certain brain structures not only distinguished IPV perpetrators from controls but also played a role in explaining dropout and recidivism. Given the multifactorial nature of IPV perpetration, it is crucial to combine neuroimaging techniques with other psychological instruments to effectively create risk profiles of IPV perpetrators. [ABSTRACT FROM AUTHOR]

Image-guided adaptive brachytherapy (IGABT) is the standard of care for patients with cervical cancer. The objective of this study was to compare the treatment outcomes and adverse effects of computed tomography (CT)-guided and magnetic resonance imaging (MRI)-guided scenarios. Data of patients with cervical cancer treated using external beam radiotherapy followed by IGABT from 2012 to 2016 were retrospectively reviewed. CT-guided IGABT was compared with the three modes of MRI-guided IGABT: pre-brachytherapy (MRI Pre-BT) without applicator insertion for fusion, planning MRI with applicator in-place in at least 1 fraction (MRI ≥1Fx), and MRI in every fraction (MRI EveryFx). Patient characteristics, oncologic outcomes, and late radiation toxicity were analyzed using descriptive, survival, and correlation statistics. Overall, 354 patients were evaluated with a median follow-up of 60 months. The 5-year overall survival (OS) rates were 61.5%, 65.2%, 54.4%, and 63.7% with CT-guided, MRI PreBT, MRI ≥1Fx, and MRI EveryFx IGABT, respectively with no significant differences (p = 0.522). The 5-year local control (LC) rates were 92.1%, 87.8%, 80.7%, and 76.5% (p = 0.133), respectively, with a significant difference observed between the CT-guided and MRI ≥1Fx (p = 0.018). The grade 3–4 late gastrointestinal toxicity rates were 6% in the CT-guided, MRI ≥1Fx, and MRI EveryFx, and 8% in MRI PreBT. The grade 3–4 late genitourinary toxicity rates were 4% in the CT-guided, 2% in MRI PreBT, 1% in MRI ≥1Fx, and none in MRI EveryFx. No significant differences were observed in the oncologic and toxicity outcomes among MRI PreBT, MRI ≥1Fx, and MRI EveryFx. CT-guided IGABT yielded an acceptable 5-year OS, LC, and toxicity profile compared with all MRI scenarios and is a potentially feasible option in resource-limited settings. • CT-only IGABT was comparable to all MRI-guided scenarios. • No significant differences established among MRI Pre-BT, MRI ≥1Fx, and MRI EveryFx. • Utility of CT and MRI could be personalised based on availability of resources. [ABSTRACT FROM AUTHOR]

• Smaller volumes in amygdalae and caudate nuclei were observed in neonates with exposed to ACS. • Volumetric changes were observed only in neonates born at ≥28 gestational weeks. • ACS led to local neuroanatomical changes that are not detectable by conventional MRI. Antenatal corticosteroids (ACS) is a well-established treatment for women at risk of preterm birth that improves neonatal outcomes. However, several concerns have been raised regarding the potential long-term adverse effects of ACS on the offspring's developing brain. Here we investigated the association between ACS and subcortical segmental volumes in preterm infants at term-equivalent age. This retrospective observational study was conducted using the clinical data of preterm singleton infants born between 220/7 and 336/7 gestational weeks at Nagoya University Hospital in 2014–2020. Subcortical volumes of the bilateral thalami, caudate nuclei, putamens, pallidums, hippocampi, amygdalae, and nuclei accumbens were evaluated using an automated segmentation tool, Infant FreeSurfer, and compared between neonates exposed to a single course of ACS (n = 46) and those who were not (n = 13) by multiple linear regression analysis (covariates: postmenstrual age at magnetic resonance imaging, infant sex, and gestational age at birth). We compared each subcortical volume stratified by gestational age at birth (<28 vs. ≥28 gestational weeks). Multivariate analyses revealed significantly smaller volumes in the bilateral amygdalae (left, p < 0.03; right, p < 0.03) and caudate nuclei (left, p < 0.03; right, p = 0.04) in neonates with ACS. Significantly smaller volumes in these regions were observed only in neonates born at 28 weeks of gestation or later. ACS was associated with smaller volumes of the bilateral amygdalae and caudate nuclei at term-equivalent age. This association was observed exclusively in infants born at 28 weeks of gestation or later. [ABSTRACT FROM AUTHOR]

• 12 studies have examined links between air pollutants and cortical thickness. • PM 2.5 was the most studied pollutant and impactful on decreasing cortical thickness. • Some studies reported both regional increasing and decreasing cortical thickness. • Further research is needed examining life course pollution and cortical thickness. Increasing research has focused on the impact of air pollution on brain health. As the prevalence of air pollution is increasing alongside other environmental harms, the importance of studying the effects of these changes on human health has become more significant. Additionally, gaining insight into how air pollution exposure, measured at different points in the lifespan, can affect brain structure is critical, as this could be a precursor to cognitive decline later in life. The purpose of this review was to synthesize the literature on the association between air pollutant exposure and cortical thickness, a structural change with known associations with later cognition and neurodegenerative disease. After screening, twelve studies were included in this systematic review. Across a majority of studies, results suggest significant associations between increasing air pollution exposure and decreases in cortical thickness, primarily in areas such as prefrontal cortex, precuneus, and temporal regions of the brain. These results did differ somewhat between age groups and different air pollutants, with the most prominent results being found with exposure to PM 2.5 , the smallest particulate matter size included in the review. In the future, it is important to continue studying cortical thickness as it is essential to brain functioning and can be influential in disease progression. Furthermore, conducting more longitudinal studies in which air pollution is measured as a cumulation throughout the lifespan would help elucidate when exposure is most impactful and when brain structural changes become observable. [ABSTRACT FROM AUTHOR]

The purpose of this study was to identify robust radiological features from intratumoral and peritumoral regions, evaluate MRI protocols, and machine learning methods for overall survival stratification of glioma patients, and explore the relationship between radiological features and the tumour microenvironment. A retrospective analysis was conducted on 163 glioma patients, divided into a training set (n=113) and a testing set (n=50). For each patient, 2135 features were extracted from clinical MRI. Feature selection was performed using the Minimum Redundancy Maximum Relevance method and the Random Forest (RF) algorithm. Prognostic factors were assessed using the Cox proportional hazards model. Four machine learning models (RF, Logistic Regression, Support Vector Machine, and XGBoost) were trained on clinical and radiological features from tumour and peritumoral regions. Model evaluations on the testing set used receiver operating characteristic curves. Among the 163 patients, 96 had an overall survival (OS) of less than three years postsurgery, while 67 had an OS of more than three years. Univariate Cox regression in the validation set indicated that age (p=0.003) and tumour grade (p<0.001) were positively associated with the risk of death within three years postsurgery. The final predictive model incorporated 13 radiological and 7 clinical features. The RF model, combining intratumor and peritumor radiomics, achieved the best predictive performance (AUC = 0.91; ACC = 0.86), outperforming single-region models. Combined intratumoral and peritumoral radiomics can improve survival prediction and have potential as a practical imaging biomarker to guide clinical decision-making. • Combined intratumoral and peritumoral radiomics predict glioma prognosis. • Insights into the peritumor microenvironment aid individualized surgical plans. • T2WI strongly correlates with glioma prognosis, more than T1-enhanced sequences. • T2WI provides richer content for future multimodal MRI research. [ABSTRACT FROM AUTHOR]

The diagnostic detection of abnormal findings with head imaging is low for dizziness. This study aimed to investigate the risk factors associated with abnormal computed tomography (CT) or magnetic resonance imaging (MRI) findings for patients with dizziness. Medical records of patients who had CT or MRI examinations for dizziness complaints between January 1, 2019, and December 31, 2020, were retrospectively reviewed. Imaging outcomes were grouped as normal or abnormal findings. Risk factors, including demographics, dizziness pattern, symptoms, comorbidities, and medical history were assessed. A Chi-square automatic interaction detection decision tree model was used to classify abnormal imaging findings based on risk factors identified through multivariable analyses. A total of 2,342 scans were examined. Detection of abnormal findings was 4.8% (n = 96), including acute cerebral infarction (n = 33), acute cranial hemorrhage (n = 15), cancer/tumor-like lesions (n = 27), and inner ear abnormalities (n = 21). The risk factor most indicative of abnormal findings were loss of consciousness and neurologic deficit (Odds Ratio 55.57, p < 0.001). The likelihood of abnormality indicating acute brain lesions was 44.4% for patients with loss of consciousness and neurologic deficits. Loss of consciousness and neurologic deficits, hearing loss, nausea/vomiting, and comorbid malignancy distinguished abnormal findings from negative imaging findings (AUC 0.729; 95%CI 0.672–0.785; p < 0.001). Patients with unspecific dizziness complaints were less likely to have abnormal imaging findings. These findings highlighted the significance of specific risk factors in recognizing individuals with dizziness complaints who may have abnormal imaging findings indicative of serious diseases. Further studies are warranted to verify the findings. • 2,342 CT and MRI scans of patients with dizziness complaints were examined. • Unspecific dizziness complaints were often without abnormal image findings. • Neurologic deficit was highly indicative of abnormal findings (OR 55.57). • Abnormality % was 66.7, 19.3, 8.8 for neurologic deficit, hearing loss, malignancy. • Without these factors, the abnormality rates were 4.2%, 3.8%, 3.2%, respectively. [ABSTRACT FROM AUTHOR]

To evaluate the diagnostic performance of diffusion-weighted imaging (DWI) and dynamic contrast enhanced (DCE), for diagnosing osteomyelitis in the diabetic foot. A thorough search was carried out to identify suitable studies published up to September 2023. The quality of the studies involved was evaluated using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). The diagnostic sensitivity and specificity of each imaging modality/method for each specific cut point were summarized. The summary receiver operating characteristic (SROC) curve was calculated using bivariate mixed effects models. Five studies investigating 187 patients and 234 bone lesions with 110 diagnosed osteomyelitis were enrolled. Four studies used DWI (172 lesions), three studies used DCE techniques (140 lesions) and two studies presented results of conventional MRI (66 lesions). The sensitivity ranges using conventional MRI, DWI and DCE were 65%-100%, 65%-100% and 64%-100%, respectively. The specificity ranges were 50%-61%, 56%-95%, and 66%-93%, respectively. The SROC curve of DWI and DCE was 0.89 (95% CI, 0.86–0.92) and 0.90 (95% CI, 0.87–0.92), respectively. Combining DWI and DCE methods, alongside conventional MRI, can improve the reliability and accuracy of diabetic foot osteomyelitis diagnosis. However, the study recognizes result variability due to varying protocols and emphasizes the need for well-designed studies with standardized approaches. To optimize diagnostic performance, the study recommends considering low ADC values, Ktrans or rapid wash-in rate from DCE such as iAUC60, along with using large ROIs that cover the entire lesion while excluding normal bone marrow. [ABSTRACT FROM AUTHOR]

Combining computed diffusion-weighted imaging (DWI) with readout-segmented echo-planar-imaging may shorten acquisition time and improve imaging quality. This study aimed to compare computed vs. acquired DWI qualitatively and quantitatively in visualizing scrotal or testicular lesions. We retrospectively enrolled 57 consecutive men who underwent scrotal MRI. Four computed DWI sets (cDWI 800 , cDWI 1000 , cDWI 1200 , and cDWI 1400) were generated from acquired DWI with two lower b-values (150 and 600 s/mm2). Acquired DWI (DWI 800 and DWI 1000) and computed DWI were compared through qualitative (susceptibility artifact, signal loss artifact, anatomic clarity, and lesion conspicuity) and quantitative assessment (signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and lesion-to-testicular parenchyma contrast ratio (CR)). Computed DWI was prone to signal loss artifact and slightly lower assessment scores in terms of anatomic clarity and lesion conspicuity, comparing with acquired DWI. The SNR of computed and acquired DWI decreased with increasing b value. Under the same b-values (800 and 1,000 s/mm2), there was no difference in the median SNR and CR between computed and acquired DWI. The median CR of cDWI 1400 was significantly higher than that of the other DWI sets excepting cDWI 1200 (P =1.000). The median CNR tended to be lower for computed vs. acquired DWI, while no significant difference (P =0.233). Computed and acquired DWI were nearly equivalent in both qualitative and quantitative evaluations at the b values of 800 and 1,000 s/mm2. Computed DWI could enhance the contrast of scrotal or testicular lesions. • Computed vs. acquired DWI are equivalent at the b values of 800 and 1,000 s/mm2. • Computed DWI could enhance the contrast of scrotal or testicular lesions. • Computed DWI can serve visual aid to radiologists without increasing scan time. [ABSTRACT FROM AUTHOR]

This study aimed to examine the impact of deep-learning reconstruction (DLR) on zero echo time (ZTE) lung MRI. Fifty-nine patients who underwent both chest CT and ZTE lung magnetic resonance imaging (MRI) were enrolled. Noise reduction in ZTE lung MRI was compared using various DLR intensities (DLR-M, DLR-H) and conventional image filtering techniques (NF1 ∼ NF4). The normalized noise power spectrum (NPS) was analysed through phantom experiments. Image sharpness was evaluated using a blur metric. We compared subjective image quality and the detection of sub-centimetre nodules and emphysema between the original and noise-reduced images. Statistical analyses included the Wilcoxon signed-rank and McNemar's tests, with inter-reader agreement assessed via Kappa coefficients. NPS peaks were lower in NF1 through NF4, DLR-M, and DLR-H compared to the original images. While the average spatial frequency of the NPS shifted towards lower frequencies with increasing NF levels, it remained unchanged with DLR. Blur metric values of NF1∼NF4 were significantly higher than those of the original images (p <0.008). However, there were no significant differences in blur metric values between DLR-M, DLR-H, and the original images. Image quality was rated highest for DLR-H, with a statistically significant improvement over the original (p <0.05). DLR-H showed higher diagnostic confidence for detecting sub-centimetre nodules than the original images. DLR-H showed higher diagnostic performance than the original for detecting emphysema. DLR can improve ZTE lung MRI quality while preserving image texture and sharpness, thereby enhancing the potential of ZTE for evaluating pulmonary parenchymal disease. • Deep-learning reconstruction can improve the quality of zero echo time lung MRI. • Deep-learning can enhance emphysema delineation in zero echo time lung MRI. • Radiologists' diagnostic confidence improves with deep learning reconstruction. [ABSTRACT FROM AUTHOR]

We present the final analyses of tumor dynamics and their prognostic significance during a 6-week course of concurrent chemoradiotherapy for glioblastoma in the Glioblastoma Longitudinal Imaging Observational study. This is a prospective serial magnetic resonance imaging study in 129 patients with glioblastoma who had magnetic resonance imaging obtained at radiation therapy (RT) planning (F0), fraction 10 (F10), fraction 20 (F20), and 1-month post-RT. Tumor dynamics assessed included gross tumor volume relative to F0 (V rel) and tumor migration distance (d migration). Covariables evaluated included: corpus callosum involvement, extent of surgery, O6-methylguanine-DNA-methyltransferase methylation, and isocitrate dehydrogenase mutation status. The median V rel were 0.85 (range, 0.25-2.29) at F10, 0.79 (range, 0.09-2.22) at F20, and 0.78 (range, 0.13-4.27) at 1 month after completion of RT. The median d migration were 4.7 mm (range, 1.1-20.4 mm) at F10, 4.7 mm (range, 0.8-20.7 mm) at F20, and 6.1 mm (range, 0.0-45.5 mm) at 1 month after completion of RT. Compared with patients who had corpus callosum involvement (n = 26), those without corpus callosum involvement (n = 103) had significant V rel reduction at F20 (P =.03) and smaller d migration at F20 (P =.007). Compared with patients who had biopsy alone (n = 19) and subtotal resection (n = 71), those who had gross total resection (n = 38) had significant V rel reduction at F10 (P =.001) and F20 (P =.001) and a smaller d migration at F10 (P =.03) and F20 (P =.002). O6-Methylguanine-DNA-methyltransferase methylation and isocitrate dehydrogenase mutation status were not significantly associated with tumor dynamics. The median progression-free survival and overall survival (OS) were 8.5 months (95% CI, 6.9-9.9) and 20.4 months (95% CI, 17.6-25.2). In multivariable analyses, patients with V rel ≥ 1.33 at F10 had worse OS (hazard ratio [HR], 4.6; 95% CI, 1.8-11.4; P =.001), and patients with d migration ≥ 5 mm at 1-month post-RT had worse progression-free survival (HR, 1.76; 95% CI, 1.08-2.87) and OS (HR, 2.2; 95% CI, 1.2-4.0; P =.007). Corpus callosum involvement and extent of surgery are independent predictors of tumor dynamics during RT and can enable patient selection for adaptive RT strategies. Significant tumor enlargement at F10 and tumor migration 1-month post-RT were associated with poorer OS. [ABSTRACT FROM AUTHOR]

A 71-year-old woman developed sudden, painful, decreased vision in the left eye accompanied by progressive instability. Initial examination revealed left optic disc edema, and macular optical coherence tomography confirmed the presence of intraretinal and subretinal fluid, as well as hyperreflective material under the retinal pigment epithelium. Subsequent investigations, including brain magnetic resonance imaging and a comprehensive serological analysis, ruled out infectious and autoimmune causes, further complicating the diagnostic picture. The patient's vision in both eyes continued to deteriorate, prompting empirical corticosteroid treatment. While the vision improved, the case took an unexpected turn with worsening neurological symptoms. Ultimately a brain biopsy was consistent with diffuse large B-cell lymphoma. [ABSTRACT FROM AUTHOR]

GTPases of the Rab family are important orchestrators of membrane trafficking, and their dysregulation has been linked to a variety of neuropathologies. In 2017, we established a causal link between RAB11A variants and developmental and epileptic encephalopathy. In this study, we expand the phenotype of RAB11A -associated neurodevelopmental disorder and explore genotype-phenotype correlations. We assessed 16 patients with pathogenic or likely pathogenic RAB11A variants, generally de novo , heterozygous missense variants. One individual had a homozygous nonsense variant, although concomitant with a pathogenic LAMA2 variant, which made their respective contributions to the phenotype difficult to discriminate. We reinforce the finding that certain RAB11A missense variants lead to intellectual disability and developmental delays. Other clinical features might include gait disturbances, hypotonia, magnetic resonance imaging abnormalities, visual anomalies, dysmorphisms, early adrenarche, and obesity. Epilepsy seems to be less common and linked to variants outside the binding sites. Individuals with variants in the binding sites seem to have a more multisystemic, nonepileptic phenotype. Similar to other Rab-related disorders, RAB11A -associated neurodevelopmental disorder can also impact gait, tonus, brain anatomy and physiology, vision, adrenarche, and body weight and structure. Epilepsy seems to affect the minority of patients with variants outside the binding sites. [ABSTRACT FROM AUTHOR]

Multiple epidemiological studies have observed the connection between aging and brain volumes. The concept of accelerated biological aging (BA) is more powerful for observing the degree of aging of an individual than chronologic age (CA). The objective of this study is to explore the relationship between BA and brain volumes. BA was measured from clinical traits using two blood-chemistry algorithms, the Klemera-Doubal method (KDM) and the PhenoAge. The two age acceleration biomarkers were calculated by the residuals from regressing CA, termed "KDM-acceleration" and "PhenoAge-acceleration". Brain volumes were from brain magnetic resonance imaging (MRI) data. After adjustment for confounding factors, general linear regression models were used to examine associations between KDM-acceleration and PhenoAge-acceleration and brain volumes, respectively. Additionally, we stratified participants by sex, age, and the four quartiles of the Townsend Deprivation Index (TDI) for extra subgroup analysis. 14,725 participants with available information were enrolled. After full adjustment, we observed negative associations between KDM-acceleration and brain volumes, such as gray matter (β = −0.029), white matter (β = −0.021), gray and white matter (β = −0.026), and hippocampus (β = −0.011 for left and β = −0.014 for right). There were also negative associations between PhenoAge-acceleration and brain volumes, such as white matter (β = −0.008), gray and white matter (β = −0.010), thalamus (β = −0.012 for left and β = −0.012 for right). In the subgroup analysis stratified by sex, age, and the four quartiles of TDI, the association between KDM-acceleration and PhenoAge-acceleration and brain volumes still existed. In subgroup analyses, the variation in associations suggests that socioeconomic and biological factors may differentially influence brain aging. Our research indicated that more advanced BA was associated with less brain tissue. • The concept of accelerated biological aging (BA) is more powerful for observing the degree of aging than chronologic age. • We measured BA from clinical traits using two blood-chemistry algorithms, the Klemera-Doubal method (KDM) and the PhenoAge. • Then, we applied linear regression analysis to test the associations between brain volume loss and the two accelerated BA. • Our research indicated that more advanced BA were associated with less brain tissue. [ABSTRACT FROM AUTHOR]

To test intra-arterial spin labeling (iASL) using active guiding catheters for myocardial perfusion measurements during magnetic resonance (MR)-guided interventions in a pig study. In this work, a single-loop radiofrequency (RF) coil at the tip of a 6F active coronary catheter was used as a transmit coil for local spin labeling. The transmit magnetic RF field (B 1) of the coil and the labeling efficiency were determined, and iASL was tested in two pigs after the catheter was engaged in the aortic root, the ostium of the left coronary artery (LCA) under MR-guidance. The iASL effect was assessed by the signal difference between spin-labeling On and control (spin-labeling OFF) images, and in a cross-correlation between ON/Off states of spin-labeling a binary labeling paradigm. In addition, quantitative myocardial perfusion was calculated from the iASL experiments. The maximum B 1 in the vicinity of the catheter coil was 2.1 µT. A strong local labeling effect with a labeling efficiency of 0.45 was achieved with iASL both in vitro and in vivo. In both pigs, the proximal myocardial segments supplied by the LCA showed significant labelling effect up to distances of 60 mm from the aortic root with a relative signal difference of (3.14 ± 2.89)% in the first and (3.50 ± 1.25)% in the second animal. The mean correlation coefficients were R = 0.63 ± 0.22 and 0.42 ± 0.16, respectively. The corresponding computed myocardial perfusion values in this region of the myocardium were similar to those obtained with contrast perfusion methods ((1.2 ± 1.1) mL/min/g and (0.8 ± 0.6) mL/min/g). The proposed iASL method demonstrates the feasibility of selective myocardial perfusion measurements during MR-guided coronary interventions, which with further technical improvements may provide an alternative to exogenous contrast-based perfusion. Due to the invasive nature of the iASL method, it can potentially be used in concert with MRI-guided coronary angioplasty. [ABSTRACT FROM AUTHOR]

Disparities in healthcare access in the United States have been associated with race and ethnicity, as well as socioeconomic factors. Because delays in imaging may result in delayed diagnosis or clinical management, we are evaluating practices within our radiology department in hopes of decreasing disparities in access to imaging. The objective of this study is to determine the disparities in time to outpatient MRI scheduling and completion by race, ethnicity, primary language, socioeconomic status, insurance and other factors at a tertiary children's hospital. After Institutional Review Board approval, we retrospectively extracted data from all outpatient MRI exams completed at our center between 10/5/2020 and 8/31/2022. Collected data included sex, age, race/ethnicity, primary language, medical complexity, insurance type, address, need for anesthesia, ordering specialty, and order acuity. We determined times to MRI scheduling or completion using mixed effects Cox regression models and determined associations between unadjusted and fully adjusted models. We analyzed 14,002 completed outpatient MRI orders from 9714 unique patients. 56.2% were White, 19.2% Hispanic, 8.4% Asian, 4.5% Black/African-American, 1.4% American Indian/Alaska Native, 0.7% Native Hawaiian/Pacific Islander, 5.7% two or more races/ethnicities, and 3.8% "Other." In fully adjusted models, there was no significant association between race/ethnicity and time to MRI scheduling and completion. In fully adjusted models, time to completion of MRI was slower among those with Medicaid (adjusted hazard ratio [95% confidence interval] of 0.92 [0.87, 0.98]), a primary language other than English (0.90 [0.82, 0.99]), non-complex chronic illness (0.72 [0.67, 0.79]), complex chronic illness (0.72 [0.67, 0.78]) and need for anesthesia (0.75 [0.71, 0.79]). At our tertiary children's hospital, time to completion of outpatient MRI was not associated with race, but was greater among those with Medicaid insurance, whose primary language was not English, and needing anesthesia. Advocating for faster prior authorization by Medicaid, utilizing our hospital's live interpreter phone number for scheduling, and incorporating greater child life support to decrease anesthesia use are considerations for decreasing these disparities, although surveying patients and families most impacted by these discrepancies will be important to identify the most promising interventions. Data are not publicly available to preserve individuals' privacy due to IRB restrictions. Data may be available upon reasonable request by contacting the corresponding author. [ABSTRACT FROM AUTHOR]

Low-grade glioma (LGG) is associated with increased mortality owing to recrudescence and the tendency for malignant transformation. Therefore, it is imperative to discover novel prognostic biomarkers as existing traditional prognostic biomarkers of glioma, including clinicopathological features and imaging examinations, are unable to meet the clinical demand for precision medicine. Accordingly, we aimed to evaluate the prognostic value of cyclin D1 (CCND1) expression levels and construct radiomic models to predict these levels in patients with LGG A total of 412 LGG cases from The Cancer Genome Atlas (TCGA) were used for gene-based prognostic analysis. Using magnetic resonance imaging (MRI) images stored in The Cancer Imaging Archive with genomic data from TCGA, 149 cases were selected for radiomics feature extraction and model construction. After feature extraction, the radiomic signature was constructed using logistic regression (LR) and support vector machine (SVM) analyses. CCND1 was identified as a prognosis-related gene with differential expression in tumor and normal samples and plays a role in regulating both the cell cycle and immune response. Landmark analysis revealed that high-expression levels of CCND1 were beneficial for survival (P < 0.05) in advanced LGG. Four optimal radiomics features were selected to construct radiomics models. The performance of LR and SVM achieved areas under the curve of 0.703 and 0.705, as well as 0.724 and 0.726 in the training and validation sets, respectively. Elevated levels of CCND1 expression could impact the prognosis of patients with LGG. MRI-based radiomics, especially the AUC values, can serve as a novel tool for predicting CCND1 expression and understanding the correlation between elevated CCND1 expression and prognosis. The datasets analyzed during the current study are available in the TCGA, TCIA, UCSC XENA and GTEx repository, https://portal.gdc.cancer.gov/ , https://www.cancerimagingarchive.net/ , https://xenabrowser.net/datapages/ , https://www.gtexportal.org/home/. [ABSTRACT FROM AUTHOR]

Hospitalized COVID-19 patients with troponin elevation have a higher prevalence of cardiac abnormalities than control individuals. However, the progression and impact of myocardial injury on COVID-19 survivors remain unclear. This study sought to evaluate myocardial injury in COVID-19 survivors with troponin elevation with baseline and follow-up imaging and to assess medium-term outcomes. This was a prospective, longitudinal cohort study in 25 United Kingdom centers (June 2020 to March 2021). Hospitalized COVID-19 patients with myocardial injury underwent cardiac magnetic resonance (CMR) scans within 28 days and 6 months postdischarge. Outcomes were tracked for 12 months, with quality of life surveys (EuroQol-5 Dimension and 36-Item Short Form surveys) taken at discharge and 6 months. Of 342 participants (median age: 61.3 years; 71.1% male) with baseline CMR, 338 had a 12-month follow-up, 235 had a 6-month CMR, and 215 has baseline and follow-up quality of life surveys. Of 338 participants, within 12 months, 1.2% died; 1.8% had new myocardial infarction, acute coronary syndrome, or coronary revascularization; 0.8% had new myopericarditis; and 3.3% had other cardiovascular events requiring hospitalization. At 6 months, there was a minor improvement in left ventricular ejection fraction (1.8% ± 1.0%; P < 0.001), stable right ventricular ejection fraction (0.4% ± 0.8%; P = 0.50), no change in myocardial scar pattern or volume (P = 0.26), and no imaging evidence of continued myocardial inflammation. All pericardial effusions (26 of 26) resolved, and most pneumonitis resolved (95 of 101). EuroQol-5 Dimension scores indicated an overall improvement in quality of life (P < 0.001). Myocardial injury in severe hospitalized COVID-19 survivors is nonprogressive. Medium-term outcomes show a low incidence of major adverse cardiovascular events and improved quality of life. (COVID-19 Effects on the Heart; ISRCTN58667920) [Display omitted] [ABSTRACT FROM AUTHOR]

We aimed to investigate whether there is clinical and MRI evidence of healing of lateral ligaments 6 weeks after acute lateral ankle sprain (LAS). We prospectively enrolled 18 participants (age 32.7 ± 7.5 years) who sustained an acute LAS and underwent conservative treatment. An ankle MRI was acquired up to 48 hours and 6 weeks following the LAS. A partial tear of the anterior talofibular ligament (ATFL) was observed in 10/18 and a complete tear in 8/18 of the patients. The calcaneofibular ligament (CFL) was partially torn in 11/18 and completely torn in 1/18 of the patients. The healing status, intensity, and thickness of the ligaments, Anterior Drawer Test (ADT), and FAOS scale were assessed. A control group (CG) was composed by 17 participants (age 40 ± 13.9 years). Six weeks after the LAS, 89% of the participants presented MRI evidence of ATFL healing. The repaired ATFL was thicker in comparison with the CG (p <.001). The cut-off of 2.5 mm for ATFL thickness in the 6th week maximized sensitivity (62.5%) and specificity (100%). CFL and PTFL presented 94% and 100% of healing signs, respectively. In the 6th week, 11/18 (61%) participants showed mild residual instability and a mean FAOS of 80 ± 11. The MRI revealed signs of the repair process in 89% of ATFL and 94% of CFL tears, 6 weeks after a moderate or severe LAS. The MRI findings were concomitant with enhancements in mechanical ankle stability and function. [ABSTRACT FROM AUTHOR]

Plain radiographs remain the standard for diagnosing osteoarthritis (OA). Total hip arthroplasty (THA) is generally offered only for advanced OA by plain radiographs. Advanced imaging is used as an adjunct to assess OA severity in cases of progressive symptoms with less advanced OA by plain radiographs. The objective of this study was to compare outcomes following THA in patients who have advanced OA visualized by plain radiographs to patients who have less severe OA visualized by plain radiographs. From February 2016 to February 2020, 93 patients who had Kellgren-Lawrence (KL) grade 0 to 2 OA and underwent THA were identified. The median age was 65 years, and 55% were women. They were matched 1:3 to patients who underwent THA for KL 4 OA based on age, sex, body mass index, and Charlson Comorbidity Index. The primary outcome was achievement of the Hip Injury and Osteoarthritis Outcome Score for Joint Replacement (HOOS JR) minimum clinically important difference, substantial clinical benefit, and patient-acceptable symptom state at 1 year postoperatively. There was no difference between the KL 0 to 2 and KL 4 cohorts in the achievement of HOOS JR minimum clinically important difference (86 versus 85.6%, P =.922), substantial clinical benefit (81.7 versus 80.2%, P =.751), or patient-acceptable symptom state (89.2 versus 85.6%, P =.374). The KL 0 to 2 cohort had a similar improvement in their 2-year HOOS JR (42.5 versus 38.6, P =.019). In this series, there was no difference in outcomes following primary THA between patients who have severe OA on plain radiographs (KL 4) compared to those who have less severe OA (KL 0 to 2). In the setting of severe symptoms and the absence of advanced OA on radiographs, advanced imaging can be used to guide treatment and select patients who could benefit from THA. [ABSTRACT FROM AUTHOR]

Liposarcoma is the commonest soft tissue neoplasm, usually located in the deep soft tissue of the limbs. The central nervous system (CNS) as the primary site is exceedingly rare. We report a 35-year-old male patient who presented with seizure and weakness of the left half of the body for three months. The magnetic resonance imaging of the brain revealed a large solid partially necrotic lesion in the right posterior frontal lobe with perilesional edema. The tumour was firm, intra-axial, not adherent to the dura, and was completely excised. Based on the morphology, immunohistochemistry, and imaging findings, the diagnosis of primary intracerebral pleomorphic liposarcoma was rendered. Post-operatively, the patient had an uneventful follow-up. Pleomorphic liposarcoma is a rare CNS tumor with aggressive behavior, high potential for local recurrence, and distant metastasis. However, the acquaintance with intracranial liposarcoma is limited because of its rarity, and thus, no standard treatment protocol is of consensus. [ABSTRACT FROM AUTHOR]

Striatal hyperdopaminergia is implicated in the pathoetiology of schizophrenia, but how this relates to dopaminergic midbrain activity is unclear. Neuromelanin (NM)-sensitive magnetic resonance imaging provides a marker of long-term dopamine function. We examined whether midbrain NM-sensitive magnetic resonance imaging contrast-to-noise ratio (NM-CNR) was higher in people with schizophrenia than in healthy control (HC) participants and whether this correlated with dopamine synthesis capacity. One hundred fifty-four participants (schizophrenia group: n = 74, HC group: n = 80) underwent NM-sensitive magnetic resonance imaging of the substantia nigra and ventral tegmental area (SN-VTA). A subset of the schizophrenia group (n = 38) also received [18F]-DOPA positron emission tomography to measure dopamine synthesis capacity (K i cer) in the SN-VTA and striatum. SN-VTA NM-CNR was significantly higher in patients with schizophrenia than in HC participants (effect size = 0.38, p =.019). This effect was greatest for voxels in the medial and ventral SN-VTA. In patients, SN-VTA K i cer positively correlated with SN-VTA NM-CNR (r = 0.44, p =.005) and striatal K i cer (r = 0.71, p <.001). Voxelwise analysis demonstrated that SN-VTA NM-CNR was positively associated with striatal K i cer (r = 0.53, p =.005) and that this relationship seemed strongest between the ventral SN-VTA and associative striatum in schizophrenia. Our results suggest that NM levels are higher in patients with schizophrenia than in HC individuals, particularly in midbrain regions that project to parts of the striatum that receive innervation from the limbic and association cortices. The direct relationship between measures of NM and dopamine synthesis suggests that these aspects of schizophrenia pathophysiology are linked. Our findings highlight specific mesostriatal circuits as the loci of dopamine dysfunction in schizophrenia and thus as potential therapeutic targets. [ABSTRACT FROM AUTHOR]

Anhedonia is a core symptom of depression that is closely related to prognosis and treatment outcomes. However, accurate and efficient treatments for anhedonia are lacking, mandating a deeper understanding of the underlying mechanisms. A total of 303 patients diagnosed with depression and anhedonia were assessed by the Snaith-Hamilton Pleasure Scale (SHAPS) and magnetic resonance imaging (MRI). The patients were categorized into a low-anhedonia group and a high-anhedonia group using the K -means algorithm. A data-driven approach was used to explore the differences in brain structure and function with different degrees of anhedonia based on MATLAB. A random forest model was used exploratorily to test the predictive ability of differences in brain structure and function on anhedonia in depression. Structural and functional differences were apparent in several brain regions of patients with depression and high-level anhedonia, including in the temporal lobe, paracingulate gyrus, superior frontal gyrus, inferior occipital gyrus, right insular gyrus, and superior parietal lobule. And changes in these brain regions were significantly correlated with scores of SHAPS. These brain regions may be useful as biomarkers that provide a more objective assessment of anhedonia in depression, laying the foundation for precision medicine in this treatment-resistant, relatively poor prognosis group. • rs-fMRI was used to distinguish high and low levels of anhedonia in patients with depression. • The temporal lobe and superior parietal lobule may be an important hub for anhedonia in depression. • Imaging biomarkers for anhedonia in depression can provide more objective assessment, laying a foundation for precision medicine. [ABSTRACT FROM AUTHOR]

• The study identified cortical and subcortical structural changes in MCI patients. • Correlation analysis linked structural changes to cognitive performance in MCI. • SVM classification achieved 89% accuracy in distinguishing MCI from controls. • Findings provide insights into neural mechanisms behind MCI-related memory loss. Gray matter changes are thought to be closely related to cognitive decline in mild cognitive impairment (MCI) patients. The study aimed to explore cortical and subcortical structural alterations in MCI and their association with cognitive assessment. 24 MCI patients and 22 normal controls (NCs) were included. Voxel-based morphometry (VBM), vertex-based shape analysis and surface-based morphometry (SBM) analysis were applied to explore subcortical nuclei volume, shape and cortical morphology. Correlations between structural changes and cognition were explored using spearman correlation analysis. Support vector machine (SVM) classification evaluated MCI identification accuracy. MCI patients showed significant atrophy in the left thalamus, left hippocampus, left amygdala, right pallidum, right hippocampus, along with inward deformation in the left amygdala. SBM analysis revealed that MCI group exhibited shallower sulci depth in the left hemisphere and increased cortical gyrification index (GI) in the right frontal gyrus. Correlation analysis showed the positive correlation between right hippocampus volume and episodic memory, while negative correlation between the altered GI and memory performance in MCI group. SVM analysis demonstrated superior performance of sulci depth and GI derived from SBM in MCI identification. When combined with cortical and subcortical metrics, SVM achieved a peak accuracy of 89 % in distinguishing MCI from NC. The study reveals significant gray matter structural changes in MCI, suggesting their potential role in underlying functional differences and neural mechanisms behind memory impairment in MCI. [ABSTRACT FROM AUTHOR]

The relationship between meningiomas and gonadal steroid hormones has been the subject of debate, and there is limited understanding of the connection between patient, tumor characteristics, and progesterone receptor (PGR) status. This retrospective observational study aims to explore the prognostic correlation between PGR+ and PGR-meningiomas in terms of various clinical, radiological, and surgical predictors. The analysis included 270 patients, divided into 2 groups: group A (PGR-, 194 patients), and group B (PGR+, 76 patients). The analysis showed no significant differences in terms of age, sex, clinical debut, postsurgical complications, total resection, and grading between the 2 groups. However, a significant difference was observed in the mean Karnofsky performance status at all stages of follow-up. Peritumoral edema measured in preoperative magnetic resonance imaging significantly influences the value of Karnofsky performance status in both preoperative (ANOVA, P = 0.05) and postoperative evaluation (postoperative ANOVA, P = 0.014) only in group A. In the multivariate analysis, there are no significant factors related to the clinical, biological, and surgical parameters previously examined for each measurement time (P = 0.826). The study found that PGR + meningioma patients tend to have better postoperative recovery and earlier clinical debut without any association with age prevalence or grading. [ABSTRACT FROM AUTHOR]

The dura mater is a barrier between the brain and the surrounding environment. Injuries to the dura can lead to serious complications, therefore, ensuring a hermetic closure of the dura is a primary task for a neurosurgeon. The aim of the study is to compare the effectiveness of applying the newly developed ViscollDURA collagen membrane (VDCM), with the commercially available Durepair (xenogeneic collagen) in animal model. A dural tear model was utilized in rats with membrane implantation using an application method. The sample size consisted of 24 rats. Group I underwent VDCM implantation, while Group II underwent Durepair implantation. Results were evaluated at 30, 60, and 90 days. The study was assessed using magnetic resonance imaging, histology, electron scanning microscopy, and immunohistochemistry. The obtained results underwent statistical analysis. In the clinical presentation, there were no difference between groups. Histologically, Group 1 showed comparable results to Group 2. The integration process of the membrane statistically differed between the groups. In Group 1, neovascularization and tissue replacement showed better results than in Group 2. Magnetic resonance imaging differences were observed at later stages, with group 2 showing adhesion and brain deformation in the implantation area. Both membranes showed safety and compatibility. The collagen membrane produced under sterile conditions demonstrated better regeneration with minimal inflammatory reaction. The study suggests that VDCM exhibits biocompatibility comparable to Durepair, providing prospects for potential applications in neurosurgery. [ABSTRACT FROM AUTHOR]

Cerebral amyloidomas (CA) are exceptionally rare tumor-like lesions composed of cerebral amyloid-beta, which is derived from the cleavage of the amyloid precursor protein. We presented a case of recurrent CA and performed a systematic review, comparing their initial presentation, imaging features, neurosurgical treatment, and natural history of the disease. A 65-year-old male with a history of right homonymous hemianopsia, who underwent subtotal resection of a CA 19 years before, presents to the emergency department with right hemiparesis, dysarthria, and a new onset of clonic seizures. Imaging revealed a left parieto-occipital lesion with calcifications and vasogenic edema. A gross-total resection was performed. Histopathology revealed a hypocellular eosinophilic lesion consistent with CA. Postoperatively, the patient recovered without new neurological deficits. One-year follow-up magnetic resonance imaging showed no residual or recurrence lesion. Eighty-seven cases, including ours, revealed that 65.5% (n = 57) were females with a median age of 54 years (IQR: 46-62). Most lesions were solitary (82.7%; 72 of 87 lesions). Frontal and parietal lobes were most commonly affected with 32.9% (n = 28) and 30.5% (n = 26), respectively. Seizures were the most common symptom followed by visual compromise. Calcifications were present in 19.5% (n = 17) of the lesions. This systematic review provides insights into the epidemiological, clinical, and neurosurgical characteristics, as well as the long-term prognosis of CA. This marks the first case in the reviewed literature with a 19-year period of follow-up where the patient had reoperation due to disease progression. [Display omitted] [ABSTRACT FROM AUTHOR]

The use of biomodels in the laboratory for studying and training cervical laminoplasty has not yet been reported. We propose the use of a cervical spine biomodel for surgical laminoplasty training. This is an experimental study. Ten 3D identical cervical spine biomodels were printed based on computed tomography (CT) and magnetic resonance imaging scans of a patient diagnosed with spondylotic cervical myelopathy. The additive manufacturing method used fused deposition modeling and polylactic acid (PLA) was selected as the raw material. The sample was divided into 2 groups: control (n = 5; the biomodels were submitted to CT scanning) and open-door (n = 5; the biomodels were submitted to open-door laminoplasty and postoperative CT). The area and anteroposterior diameter of the vertebral canal were measured on CT scans. Printing each piece took 12 hours. During the surgical procedure, there was sufficient support from the biomodels to keep them immobilized. Using the drill was feasible; however continuous irrigation was mandatory to prevent plastic material overheating. The raw material made the biomodel CT study possible. The vertebral canal dimensions increased 24.80% (0.62 cm2) in area and 24.88% (3.12 mm) in anteroposterior diameter The cervical spine biomodels can be used for laminoplasty training, even by using thermosensitive material such as PLA. The use of continuous irrigation is essential while drilling. [ABSTRACT FROM AUTHOR]

Early brain injury is the leading cause of poor outcomes in spontaneous subarachnoid hemorrhage (sSAH). Plasma D-dimer levels and acute cerebral ischemia have been highlighted as relevant findings in early brain injury; however, their correlation has not been substantially investigated. This retrospective, single-center cohort study was conducted at a tertiary emergency medical center from January 2004 to June 2022. Consecutive patients with sSAH who presented within 12 hours of ictus and underwent magnetic resonance imaging within 3 days were included. We assessed the correlation of plasma D-dimer levels with acute ischemic lesions detected on the diffusion-weighted imageing and the clinical characteristics. Among 402 eligible patients (mean age, 63.5 years; 62.7% women; median time from onset to arrival, 45.5 minutes), 140 (34.8%) had acute ischemic lesions. Higher plasma D-dimer levels linearly correlated with worse neurological grades, more severe SAH on initial computed tomography, acute ischemic lesions, and poor outcomes, except for patients with neurogenic stunned myocardium. In the multivariate analysis, acute ischemic lesions were significantly associated with worse neurological grades, higher plasma D-dimer levels, bilateral loss of light reaction, and advanced age. The receiver operating characteristic curve analysis showed D-dimer levels as excellent predictors for acute ischemic lesions (area under the curve, 0.897; cut-off value, 5.7 μg/mL; P < 0.0001) and unfavorable outcomes (area under the curve, 0.786; cut-off value, 4.0 μg/mL; P < 0.0001). High plasma D-dimer levels correlated with the appearance of acute ischemic lesions on diffusion-weighted imaging and were dose-dependently associated with worse neurological grades, more severe hemorrhage, and worse outcomes. [Display omitted] [ABSTRACT FROM AUTHOR]

Socioeconomic status and race have been found to influence patient outcomes for various cancer subtypes. In particular, minority and economically vulnerable patients present with more advanced disease and experience decreased survival compared to others. The aim of this study was to analyze the association between demographic or socioeconomic variables and rates of postsurgical follow-up after pituitary neuroendocrine tumor (PitNET) resection. A retrospective review was completed for patients with PitNETs who underwent surgery between 2018 and 2021. Patient demographics and information related to postoperative appointments and magnetic resonance imagings were obtained. Social vulnerability index (SVI) scores were recorded from the Centers for Disease Control based on nationwide census tracts. One hundred and sixteen patients were included in the analysis (57 males). In this cohort, 50% were Black, 34% Hispanic, 9% White, and 1% Asian. The mean overall SVI score was 0.81 ± 0.23. The mean number of canceled appointments was significantly higher in the moderate-high/high SVI group (P = 0.034). Additionally, 30% of patients with moderate-high/high SVI had ≥2 canceled follow-up visits compared to 0% among patients with low/low-moderate SVI (P = 0.035). On average, White patients were less likely than non-White patients to have at least one canceled follow-up appointment (P = 0.048). Black patients and those with high social vulnerability have decreased rates of follow-up after PitNET resection. Follow-up delays can lead to failed identification of tumor recurrence, potentially resulting in more advanced disease by the time medical care is reinitiated and increasing rates of patient morbidity and mortality. As a result, further work is needed to address and bridge these care gaps. [ABSTRACT FROM AUTHOR]

We aimed to explore the prognostic significance of preoperative magnetic resonance imaging (MRI) variables and novel inflammatory indicators in predicting neurological recovery post-cervical traumatic spinal cord injury (TSCI) in the study. We enrolled a total of 244 patients diagnosed with acute cervical TSCI from 2 hospitals and evaluated the prognostic value of MRI variables (intramedullary hemorrhage, intramedullary lesion length [IMLL], maximum spinal cord compression, and maximum canal compromise [MCC]) and novel inflammatory indicators (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, and systemic immune-inflammatory index) in patients with acute cervical TSCI. Among the 244 patients, 140 (57.38%) exhibited improved AIS grade conversion at 1-year follow-up. The results revealed intramedullary hemorrhage, IMLL, MCC, neutrophils, and NLR were significantly different compared with follow-up AIS grade. Furthermore, IMLL, MCC, white blood cells, neutrophils, NLR, and lymphocyte-to-monocyte ratio correlated with the follow-up AIS grade by Spearman's correlation analysis. Multivariate analysis showed IMLL, intramedullary hemorrhage, NLR, and admission AIS grade emerged as independent predictors of AIS grade conversion. The receiver operating characteristic curve analysis showed that the novel model (combination of MRI variables, NLR, and admission AIS grade) produced a larger area under the curve compared with using only intramedullary hemorrhage, IMLL, NLR, or admission AIS grade individually. Intramedullary hemorrhage and IMLL and NLR are predictors of AIS grade conversion after cervical TSCI. Therefore, we suggest the combination of MRI variables and NLR for the prognostic prediction of AIS grade conversion in patients with cervical TSCI. [ABSTRACT FROM AUTHOR]

There is a need for refined methods to detect and quantify brain injuries that may be undetectable by magnetic resonance imaging and neurologic examination. This review evaluates the potential efficacy of circulating brain injury biomarkers for predicting outcomes following elective neurosurgical procedures. A comprehensive search was conducted using the Cochrane, PubMed, and Scopus databases. Analysis of 23 relevant studies revealed that specific biomarkers, including glial fibrillary acidic protein, neurofilament light chain, neuron-specific enolase, S100B, and tau, are significantly associated with the extent of brain injury and could potentially predict postsurgical outcomes. The evaluated studies described intracranial tumor surgeries and miscellaneous neurosurgical interventions and demonstrated the complex relationship between biomarker levels and patient outcomes. Circulating brain injury biomarkers show promise for providing objective insights into the extent of perioperative brain injury and improving prognostication of postsurgical outcomes. However, the heterogeneity in study designs and outcomes along with the lack of standardized biomarker thresholds underscore the need for further research. [ABSTRACT FROM AUTHOR]

Chronic low back pain, affecting up to 58% of the population, often stems from intervertebral disc degeneration. Although magnetic resonance imaging (MRI) is commonly used for diagnostics, challenges arise in pinpointing pain sources due to frequent asymptomatic findings. Single-photon emission tomography (SPECT) integrated with computed tomography (CT) offers a promising approach, enhancing sensitivity and specificity. In this retrospective study, spanning 2016 to 2022, SPECT/CT imaging was performed on 193 patients meeting specific criteria. We correlated SPECT/CT findings with lumbar MRI results, utilizing Pfirrmann and Rajasekaran classifications for disc degeneration and endplate damage assessment. Logistic regression analysis adjusted for age and sex evaluated associations. Of 965 spinal levels assessed, SPECT/CT positivity strongly correlated with higher Pfirrmann grades and Rajasekaran endplate classifications. Notably, Modic changes (MCs) on MRI displayed a nonsignificant relationship with SPECT/CT positivity. Significant associations were observed in older patients with positive MCs, Pfirrmann grades, and Rajasekaran classifications. This comprehensive study, the largest of its kind, establishes a significant link between SPECT/CT positivity and advanced lumbar degenerative changes. Higher Pfirrmann grades and increased Rajasekaran endplate damage demonstrated substantial correlations with SPECT/CT positivity. Notably, MCs did not exhibit such association. Our findings underscore the potential of SPECT/CT in identifying pain generators in degenerative spinal conditions, offering valuable insights for future interventions. [ABSTRACT FROM AUTHOR]

Visual impairment affects 55%–80% of medial sphenoid wing meningiomas (mSWMs) patients, making optic nerve decompression a critical surgical goal. Complete resection often leads to better visual outcomes. However, involvement of critical neurovascular structures increases postoperative morbidity and mortality, with vascular injury reported in 18%–20% of cases. This study aims to evaluate the relationship between the extent of resection (EOR), visual outcomes, and the incidence of vascular injury, seeking to identify the optimal surgical approach for mSWMs. We retrospectively analyzed data from patients undergoing surgery for mSWM at our tertiary care center from January 2001 to December 2021. Inclusion criteria included histopathologically confirmed globoid mSWMs (N = 89). Patients with recurrent tumors (n = 14) or lost to follow-up (n = 9) were excluded. We classified patients into 2 groups based on EOR using Simpson's grade: Group 1 (good-resection,Simpson Grade-I/II,n = 51) and Group 2 (poor-resection,Simpson Grade III/IV, n = 15). Among 66 (=N) patients, visual impairment was the most common symptom (81.8%), followed by headaches (77.3%) and seizures (27%). T2-hyperintensity on magnetic resonance imaging [(OR:5.4, 95%CI:1.5–18.6) (P -value<0.01)] and cavernous sinus-extension [(OR:3.9, 95%CI:1.1–13.1) (p-value-0.02)] were independent significant predictors of poor resection. Visual status was preserved in 90.3% of Group-1 and 86.6% of Group-2, with no significant difference based on EOR. Vascular involvement was noted in 87.9%, higher than the vessel encasement (>1800) (57.6%, P = 0.04). Vessel injury occurred in 7.8% of Group-1 and 6.6% of Group-2, with no significant impact on EOR. Cavernous sinus-extension and T2-hyperintensity predict poor resection rates in mSWMs. While visual outcomes are not directly affected by EOR, long-term visual status may decline due to tumor recurrence and radiotherapy. Vascular injury incidence is not associated with EOR. Thus, the "maximal safe resection" of mSWMs involves a surgical strategy balancing targeted aggressive and conservative resection for maximal cytoreduction and functional preservation. [ABSTRACT FROM AUTHOR]

Population-based studies on the cause of readmission within 90 days after surgery or radiotherapy for metastatic spine tumors are scarce. We aimed to investigate the risk factors for readmission within 90 days after initial surgical or radiation treatment for metastatic spine tumors. Patients who were diagnosed with metastatic spine tumors between 2012 and 2019 and underwent spinal magnetic resonance imaging within 1 year were classified according to treatment (surgical or radiotherapy groups), and the causes of the 90-day readmission and patient characteristics were compared. Overall, data from 15,815 patients (surgical group, 13,974 patients; radiotherapy group, 1841 patients) were evaluated. Radiotherapy was preferred in younger and male patients with a high Charlson Comorbidity Index, whereas surgery was mainly performed in patients with lumbar metastasis. Radiotherapy, age of 30–69 years, male sex, and Charlson Comorbidity Index >1 increased the risk of 90-day readmission in patients with metastatic spine tumors. The main causes of 90-day readmission among patients with metastatic spine tumors who received radiotherapy included tumor recurrence, chemotherapy, radiotherapy, and treatment of other organ metastases with radiotherapy. These study findings offer a better understanding of the causes of readmission following radiotherapy or surgical treatment in patients with metastatic spine tumors, and these results can help reduce postoperative morbidity and medical costs among these patients. [ABSTRACT FROM AUTHOR]

Redundant nerve roots (RNRs) seen in conjunction with lumbar spinal stenosis (LSS) are well-described radiographic findings. Several studies suggest their presence may be a negative prognostic indicator of postoperative outcome. Our hypothesis was that severe RNR (informally known as the spaghetti sign [SS]) can serve as a reliable marker of LSS that would benefit from surgical decompression. We sought to evaluate a grading scale for RNR, characterize the association with stenosis, and investigate the clinical implications of RNR. We conducted a retrospective chart review of 72 patients who underwent lumbar spine surgery from 2016 to 2018 at 1 institution. Preoperative T2 magnetic resonance imaging scans were graded by 3 reviewers for severity of stenosis (0–4), severity of RNR (0–3), and rostral versus caudal RNR. SS was defined as RNR score ≥2 (clear-cut or marked nerve root irregularity). Preoperative and postoperative Oswestry Disability Index scores were analyzed by stenosis and RNR severity. Seventy-one (98%) patients had severe stenosis (score ≥3) and 25 (35%) had a SS. SS was 100% specific for high-grade stenosis. If patients had a SS, it was more likely rostral (P = 0.02). Postoperative Oswestry Disability Index scores improved significantly, but there were no differences related to RNR score, presence of SS, or stenosis severity. The study demonstrated that there is a significant association between SS and severe LSS and that presence of RNR is not a negative prognostic indicator for postoperative outcomes. [ABSTRACT FROM AUTHOR]