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Background Abbreviated magnetic resonance imaging (MRI) includes fewer sequences than standard MRI, which could be utilized for breast cancer detection. Purpose To evaluate the diagnostic accuracy of abbreviated MRI protocol in screening and diagnostic settings. Material and Methods All women with screening and diagnostic (problem-solving and preoperative staging) MRI examination were recruited from 2017 to 2020. Two expert radiologists assessed designed abbreviated protocol (fat-saturated T1-weighted [T1W] pre-contrast and two first fat-saturated T1W post-contrast series with reconstruction of their subtraction) including maximum intensity projection (MIP) and then evaluated standard protocol of breast MRI. Associated findings, including axillary lymphadenopathy and invasion to nipple, skin, or pectoralis muscle were also evaluated. The concordance rate of abbreviated with standard protocol in screening and diagnostic settings were also compared, based on BI-RADS classification. Diagnostic accuracy, sensitivity, specificity, and positive and negative predictive value were calculated. Results A total of 108 (26.5%) of 408 patients (mean age = 43 ± 9 years) were classified as BI-RADS 4–5 and considered positive findings based on suspicious enhancement (mass or non-mass enhancement). Compared to standard protocol, abbreviated protocol revealed >98% accuracy in the diagnostic setting as well as 100% accuracy in the screening setting. Concordance rates in screening and diagnostic settings were 99.6% and 98.1%, respectively. There was no discordance between abbreviated and standard protocol in the evaluation of associated findings. Conclusion Abbreviated MRI protocol possesses substantial diagnostic accuracy in both screening and diagnostic settings. Additional information provided by standard protocol might not require for cancer detection.

Background Percutaneous sclerotherapy with bleomycin has been proven to have a potential benefit in the management of low-flow venous malformations. Liver hemangiomas are considered low-flow venous malformations. Thus, percutaneous sclerotherapy could potentially have a promising result in their management. Purpose To investigate the feasibility, efficacy, and safety of percutaneous sclerotherapy with bleomycin in the management of symptomatic giant liver hemangioma (GLH). Materials and Methods This single-institute prospective study was conducted between September 2018 and July 2020. Percutaneous sclerotherapy was performed using a mixture of bleomycin and ethiodized oil under guidance of US and fluoroscopy in participants with GLH who were experiencing related abdominal pain or fullness. Technical success was recorded. Change in symptom severity, according to visual analog scale (VAS), was considered the primary outcome of the study. Volume change, based on the lesion volume at CT, and complications, based on the classification of the Society of Interventional Radiology, were regarded as secondary outcomes. The primary and secondary outcomes were recorded 6 and 12 months after the procedure. Comparison was performed by using the Wilcoxon signed-rank test or paired t test. Results Twenty-eight participants (mean age, 45 years ± 9; 25 women) were evaluated. Technical success was 100%. The mean VAS score was 8.3 before the procedure, which decreased to 1.4 (84.7% reduction) and 1.5 (83.5% reduction) at 6- and 12-month follow-ups, respectively (P < .001 for both). All participants reported relief of symptoms (17 of 28 participants [61%] with complete relief; 11 [39%] with partial relief) at 12-month follow-up. Mean GLH volumes dropped from 856.3 cm3 to 309.8 cm3 (65.7% reduction) and 206.0 cm3 (76% reduction) at 6- and 12-month follow-ups, respectively (P < .001 for both). No major complications were detected. Conclusion Percutaneous sclerotherapy is a safe and feasible method with promising results in the treatment of patients with symptomatic giant liver hemangioma. Clinical trial registration no. NCT03649113 © RSNA, 2021 See also the editorial by McGahan and Goldman in this issue.

Diabetic retinopathy (DR) is a medical condition caused by damage to the blood vessels of retina tissue due to diabetes mellitus. DR leads to injury in neural and vascular structures and is reported to be significantly influenced by inflammation and inflammatory mediators like cytokines. In this study, a systematic review and meta-analysis were performed to analyze the association between cytokine gene polymorphisms and DR. We identified relevant studies from Scopus, PubMed, and Google scholar databases. Allele and genotype frequencies were pooled. Heterogeneity and publication bias were explored. The odds ratio (OR) and corresponding 95% confidence intervals (CIs) were calculated to estimate the relation. A total of 3337 cases and 4945 controls in 19 eligible studies were included in the meta-analysis. Overall, results indicated the negative association between the cytokine gene polymorphisms and DR susceptibility in the allelic model (IFN-γ (rs2430561): OR 0.64, [CI]: 0.5 to 0.82; and TGF-β (rs1800471): [OR] = 0.15, [CI]: 0.03 to 0.79); and also, in the dominant model (IFN-γ (rs2430561): OR = 0.4, [CI]: 0.22 to 0.75; and TGF-β (rs1800471): OR = 0.14, [CI]: 0.05 to 0.4). The present study suggests that IFN-γ (rs2430561) and TGF-β (rs1800471) polymorphisms are associated with decreased susceptibility to DR.

Proposing a scoring tool to predict COVID-19 patients’ outcomes based on initially assessed clinical and CT features. All patients, who were referred to a tertiary-university hospital respiratory triage (March 27–April 26, 2020), were highly clinically suggestive for COVID-19 and had undergone a chest CT scan were included. Those with positive rRT-PCR or highly clinically suspicious patients with typical chest CT scan pulmonary manifestations were considered confirmed COVID-19 for additional analyses. Patients, based on outcome, were categorized into outpatient, ordinary-ward admitted, intensive care unit (ICU) admitted, and deceased; their demographic, clinical, and chest CT scan parameters were compared. The pulmonary chest CT scan features were scaled with a novel semi-quantitative scoring system to assess pulmonary involvement (PI). Chest CT scans of 739 patients (mean age = 49.2 ± 17.2 years old, 56.7% male) were reviewed; 491 (66.4%), 176 (23.8%), and 72 (9.7%) cases were managed outpatient, in an ordinary ward, and ICU, respectively. A total of 439 (59.6%) patients were confirmed COVID-19 cases; their most prevalent chest CT scan features were ground-glass opacity (GGO) (93.3%), pleural-based peripheral distribution (60.3%), and multi-lobar (79.7%), bilateral (76.6%), and lower lobes (RLL and/or LLL) (89.1%) involvement. Patients with lower SpO2, advanced age, RR, total PI score or PI density score, and diffuse distribution or involvement of multi-lobar, bilateral, or lower lobes were more likely to be ICU admitted/expired. After adjusting for confounders, predictive models found cutoffs of age ≥ 53, SpO2 ≤ 91, and PI score ≥ 8 (15) for ICU admission (death). A combination of all three factors showed 89.1% and 95% specificity and 81.9% and 91.4% accuracy for ICU admission and death outcomes, respectively. Solely evaluated high PI score had high sensitivity, specificity, and NPV in predicting the outcome as well. We strongly recommend patients with age ≥ 53, SpO2 ≤ 91, and PI score ≥ 8 or even only high PI score to be considered as high-risk patients for further managements and care plans. • Chest CT scan is a valuable tool in prioritizing the patients in hospital triage. • A more accurate and novel 35-scale semi-quantitative scoring system was designed to predict the COVID-19 patients’ outcome. • Patients with age ≥ 53, SpO2 ≤ 91, and PI score ≥ 8 or even only high PI score should be considered high-risk patients.

To investigate the correlation between multiple detector computed tomography (MDCT) features of pancreatic neuroendocrine tumors (pNETs) and histopathologic grade and find valuable imaging criteria for grade prediction. MDCT of 61 patients with 65 masses, which pNETs were approved histopathologically, underwent revision retrospectively. Each MDCT was evaluated for various radiologic characteristics. Absolute and relative (R: tumor/pancreas, D: tumor–pancreas) tumor enhancements were calculated in multiple post contrast phases. 61 patients [mean age = 50.70 ± 14.28 y/o and 30(49.2%) were male] were evaluated and classified into 2 groups histopathologically: G1: 32 (49.2%) and G2,3: 33 (50.8%). Significant relationships were observed between histopathologic tumor grade regarding age (p = 0.006), the longest tumor size (p = 0.006), presence of heterogeneity (p 33 mm, relative (R) tumor enhancement in arterial phase ≤ 1.33, relative (D) tumor enhancement in arterial phase ≤ 16.5, percentage of arterial hyper-enhancing area ≤ 75%, vascular encasement, and lobulation), which specificity and accuracy of combination of all findings (6/6) for predicting G2,3 were 100% and 70.1%, respectively. The highest accuracy (84.21%) was seen in combinations of at least 4 of 6 findings, with 80.00% sensitivity, 87.5% specificity, 83.33% PPV, and 84.85% NPV. We suggested reliable imaging criteria with high specificity and accuracy for predicting the histopathologic grade of pNETs.

Background and Objective: Workplace exposes workers to different hazardous chemicals. In this study, we aimed to assess the changes of pulmonary function test (PFT) parameters as the objective indicator of lung impairment and its association with demographic data and sleep characteristics. Materials and Methods: This cross-sectional study was carried out on 200 male workers of a smelting factory located in Tehran Province, Iran. The respiratory symptoms questionnaire, Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and demographic characteristics were recorded for the participants. Participants also underwent spirometry and the related parameters were recorded. Results: A total of 200 iron foundry workers were assessed. All participants were men, and mean ± standard deviation (SD) of age was 39.1 ± 8.9 years ranging from 20 to 65 years. Of 200 workers, 153 (76.5%) were married and 72 (36.0%) were smokers. Among all participants, 131 (65.5%) reported at least one respiratory symptom, and these workers had significantly poorer sleep quality (P = 0.02) and insomnia (P = 0.01). Across-shift change in forced expiratory volume in one second (FEV1) and peak expiratory flow rate (PEFR) of spirometry parameters was significant among participants with clinical insomnia (P = 0.02 and P = 0.04, respectively) and poor sleep quality (P < 0.0001 and P = 0.04, respectively). Conclusion: Results showed a significant cross-shift reduction in PFT values among workers with clinical insomnia or poor sleep quality. Accordingly, evaluation of sleep characteristics along with respiratory symptoms in workers with inhalational occupational exposure is recommended.

Objective: Numerous offshore jobs require 24-hour tasks, such as in industrial workplaces (eg, oil rigs). The purpose of this study was to assess shift work disorder (SWD), insomnia, daytime sleepiness, and depression among Iranian offshore oil rig workers in different shift schedules. Method: This cross-sectional study was conducted on Iranian offshore oil workers at the Persian Gulf. A questionnaire package consisted of Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), Beck Depression Inventory (BDI- II), and SWD filled. The scores were calculated among different groups of shift schedules (fixed-day, fixed-night, swing and standby shift workers). ISI, BDI-II, and ESS scores were also compared between individuals with or without SWD. Results: A total of 188 participants were recruited in the study, and all were male. The mean age was 37.06 ± 9.2 years. Among different shift schedules, the highest and lowest ISI and ESS scores were related to fixed-night shifts workers and fixed-day shift workers, respectively. ISI, ESS, and BDI mean scores in different shift schedules were not significantly different (p values = 0.14, 0.57, and 0.93, respectively). SWD was diagnosed in 57 (30.3%) of studied shift workers. The difference between SWD prevalence was not significant between different shift schedules (P value =0.13). Workers with SWD had higher ISI, ESS, and BDI-II score (P values

BACKGROUND Mathematics Anxiety (MA) is a feeling of stress, tension, and fear in situations engaging with math-related tasks. Herein, we utilized Diffusion Magnetic Resonance Imaging (DMRI) connectometry approach to tracking white matter (WM) fibers with a significant correlation with the severity of MA. METHODS A total of 77 healthy adult participants (50 males, mean age ± SD = 26.00 ± 3.54) were included from the Leipzig Study for Mind-Body-Emotion Interactions (LEMON) database. Abbreviated Math Anxiety Scale (AMAS) questionnaire was used for assessing the participant's feelings when facing a math-related activity. DMRI data were prepared and analyzed with the connectometry approach. Multiple regression models were then carried out to examine the correlation of WM microstructural connectivity with AMAS score. RESULTS DMRI connectometry showed a significant association between AMAS score and increased microstructural connectivity in left arcuate fasciculus (AF), the body of corpus callosum (CC), right cingulum, and left inferior longitudinal fasciculus (ILF) in male participants with moderate effect size false discovery rate (FDR = 0.040). Furthermore, DMRI connectometry in females identified a positive correlation between AMAS score and microstructural connectivity in the genu of CC, right ILF, and bilateral fornices with small-to-moderate effect size (FDR = 0.012) and a negative correlation between AMAS score and microstructural connectivity in the bilateral cingulum with small-to-moderate effect size (FDR = 0.032) Conclusion: Our findings support that structures with functional relation to language processing areas (e.g., AF) or limbic system (cingulum, CC, fornix, and ILF) play a significant role in MA. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Emerging evidence suggests that biofluid-based biomarkers have diagnostic and prognostic potential in traumatic brain injuries (TBI). However, owing to the lack of a conceptual framework or comprehensive review, it is difficult to visualize the breadth of materials that might be available. We conducted a systematic scoping review to map and categorize the evidence regarding biofluid-based biochemical markers of TBI. A comprehensive search was undertaken in January 2019. Of 25,354 records identified through the literature search, 1036 original human studies were included. Five hundred forty biofluid biomarkers were extracted from included studies and classified into 19 distinct categories. Three categories of biomarkers including cytokines, coagulation tests, and nerve tissue proteins were investigated more than others and assessed in almost half of the studies (560, 515, and 502 from 1036 studies, respectively). S100 beta as the most common biomarker for TBI was tested in 21.2% of studies (220 articles). Cortisol was the only biomarker measured in blood, cerebrospinal fluid, urine, and saliva. The most common sampling time was at admission and within 24 h of injury. The included studies focused mainly on biomarkers from blood and central nervous system sources, the adult population, and severe and blunt injuries. The most common outcome measures used in studies were changes in biomarker concentration level, Glasgow coma scale, Glasgow outcome scale, brain computed tomography scan, and mortality rate. Biofluid biomarkers could be clinically helpful in the diagnosis and prognosis of TBI. However, there was no single definitive biomarker with accurate characteristics. The present categorization would be a road map to investigate the biomarkers of the brain injury cascade separately and detect the most representative biomarker of each category. Also, this comprehensive categorization could provide a guiding framework to design combined panels of multiple biomarkers.

To investigate the associated Multi-Detector Computed Tomography (MDCT) features for esophageal varices (EVs) and esophageal variceal hemorrhage (EVH), with particular emphasis on different collateral veins.All cirrhotic patients who had undergone both Upper Gastrointestinal Tract (UGIT) endoscopy and contrast-enhanced MDCT within 6 months from 2013 to 2019 were included in the study. MDCT of 124 patients, 76 males and 48 females, aged between 21 and 73 years old were evaluated for presence of EV and presence and size of different collaterals. The presence and size of collaterals in patients with high-risk EVs or EVH were compared with others.Findings of EV in MDCT analysis were the best predictor of EV or EVH, and presence (and/or size) of following collaterals showed a significant relationship with both EV and EVH: coronary (p = 0.006, 0.002), short gastric (SGC) (p = 0.02, 0.001), and paraesophageal (p = 0.04, 0.01). Those presenting each aforementioned collaterals or with higher collateral size were more likely to develop the EV or EVH. Yet, other collaterals indicated no similar association: para-umbilical, omental, perisplenic, and splenorenal. Main coronary vein (p = 0.02, 0.03) and fundus (p = 0.006, 0.001) varices' sizes were also significantly higher in patients with EV or EVH. Finally, we suggested an imaging-based model (presence of SGC, SGC size 2.5 mm, presence of EV, and coronary vein size 3.5 mm) with 75.86% sensitivity, 76.92% specificity, and 76.36% accuracy to predict the presence of EVs according to UGIT endoscopy. Furthermore, we presented another model (presence of SGC, SGC size 2.5 mm, presence of EV, and MELD score 11.5 mm) to predict the occurrence of EVH with 75.86% sensitivity, 76.92% specificity, and 76.36% accuracy.We suggested imaging characteristics for predicting EV and EVH with especial emphasis on the presence and size of various collaterals; then, we recommended reliable imaging criteria with high specificity and accuracy for predicting the EV and EVH.

Personality traits refer to a set of independent patterns of behaviour, cognition, and emotion. The Big-Five of Personality (NEO-FFI), is one of the most generally recognized taxonomies of personality. The current structural and functional correlates of personality are divergent and inconsistent in some cases, which necessitate further investigation of it. Herein, we aimed to investigate the white matter (WM) microstructural correlates of personality traits using diffusion MRI connectometry. Overall, the main findings of this study were located in different parts of the corpus callosum (CC) and middle cerebellar peduncle (MCP), highlighting the significant role of WM local connectome in the CC and MCP in the regulation of personality traits. Future studies need to validate our results.