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Photothermal therapy (PTT), particularly in the near-infrared-II (NIR-II) range, has attracted widespread attention over the past years. However, the accompanied inflammatory responses can result in undesirable side effects and contribute to treatment ineffectiveness. Herein, we introduced a novel biodegradable nanoplatform (CuS/HMON-PEG) capable of PTT and hydrogen sulfide (H 2 S) generation, aimed at modulating inflammation for improved cancer treatment outcomes. The embedded ultrasmall copper sulphide (CuS) nanodots (1-2 nm) possessed favorable photoacoustic imaging (PAI) and NIR-II photothermal capabilities, rendering CuS/HMON-PEG an ideal phototheranostic agent. Upon internalization by 4T1 cancer cells, the hollow mesoporous organosilica nanoparticle (HMON) component could react with the overproduced glutathione (GSH) to produce H 2 S. In addition to the anticipated photothermal tumor ablation and H 2 S-induced mitochondrial dysfunction, the anti-inflammatory regulation was also been demonstrated by the downregulation of tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and interleukin-1beta (IL-1β). More importantly, the modulation of inflammation also promoted wound healing mediated by PTT. This work not only presents a H 2 S-based nanomodulator to boost NIR-II PTT but also provides insights into the construction of novel organic/inorganic hybrid nanosystems., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Implanted vagus nerve stimulation (VNS) and transcutaneous auricular VNS (taVNS) have been primarily administered clinically to the unilateral-left vagus nerve. This left-only convention has proved clinically beneficial in brain disorders. However, in stroke survivors, the presence of a lesion in the brain may complicate VNS-mediated signaling, and it is important to understand the laterality effects of VNS in stroke survivors to optimize the intervention., Objective: To understand whether taVNS delivered to different ear targets relative to the lesion (ipsilesional vs contralesional vs bilateral vs sham) impacts blood oxygenation level dependent (BOLD) signal propagation in stroke survivors., Methods: We enrolled 20 adults with a prior history of stroke. Each participant underwent a single visit, during which taVNS was delivered concurrently during functional magnetic resonance imaging (fMRI) acquisition. Each participant received three discrete active stimulation conditions (ipsilesional, contralesional, bilateral) and one sham condition in a randomized order. Stimulation-related BOLD signal changes in the active conditions were compared to sham conditions to understand the interaction taVNS and laterality effects., Results: All active taVNS conditions deactivated the contralesional default mode network related regions compared to sham, however only ipsilesional taVNS enhanced the activations in the ipsilesional visuomotor and secondary visual cortex. Furthermore, we reveal an interaction in task activations between taVNS and cortical visuomotor areas, where ipsilesional taVNS significantly increased ipsilesional visuomotor activity and decreased contralesional visuomotor activity compared to sham., Conclusion: Laterality of taVNS relative to the lesion is a critical factor in optimizing taVNS in a stroke population, with ipsilesional stimulation providing largest direct brain activation and should be explored further when designing taVNS studies in neurorehabilitation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier Inc.)

Aberrant activation of Notch1 signaling frequently occurs in T-cell acute lymphoblastic leukemia (T-ALL). Notch1 activation causes release of intracellular Notch1 (ICN1, the activated form of Notch1) from cell membrane to cytoplasm. As a transcription factor, ICN1 must be transferred into nucleus and bind to the promoters of its downstream target genes. E3 ubiquitin ligase induces ICN1 degradation in cytoplasm, which blocks ICN1 transfer into the nucleus. Flavone is a natural plant polyphenol, demonstrated to have anti-cancer effects in vitro and in vivo in breast and colon cancers. However, the effects of flavone on leukemia have not been reported. In this study, we demonstrated that flavone inhibited cell proliferation by down-regulating Notch1 signal pathway in CCRF-CEM and Molt-4 T-ALL cells. Flavone-mediated upregulation of c-Cbl level results in the increase in its interaction with ICN1, further caused ICN1 ubiquitinylation and degradation. Knockdown of c-Cbl reversed flavone-induced down-regulation of ICN1 and inhibition of cell proliferation in T-ALL cells. In short, this study indicated that flavone exerted resistance to T-ALL by promoting c-Cbl-induced ubiquitinylation and degradation of ICN1., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Vascular tissue engineering seeks to develop functional blood vessels that comprise of both endothelial cells and pericytes for translational medicine and is often faced with numerous challenges such as nutrients and wastes diffusion problem in the centre of the scaffolds. Various strategies have been adopted to solve the diffusion problem in thick engineered scaffolds. Typically, microchannels or dissolvable microspheres are introduced into three-dimensional (3D) scaffolds as an alternative way to improve the infiltration of scaffolds and endothelial cells are usually incorporated into the biomaterials. While some research groups now focus on finding supporting cells to build further vascularized structures in the scaffolds. In this study, a bioinspired 3D gelatin-methacrylate (Gel-MA) hydrogel with dissolvable microspheres was created to encapsulate human bone marrow stromal cells (HMSCs) and human umbilical vein endothelial cells (HUVECs) which was used to investigate whether HMSCs could play a pericytes-like role and enhance vascularization within the engineered scaffolds. The results showed co-culture of HMSCs and HUVECs demonstrated significantly improved vascularization when compared to either HUVECs or HMSCs monoculture. Angiogenic genes were expressed significantly higher in co-culture group. Moreover, when implanting the pre-vascularized scaffolds in vivo, co-culture system integrated more successfully with host tissue and showed higher host tissue invasion than any other groups. More importantly, both the qPCR and immunofluorescence results indicated MSCs differentiated towards pericytes to enhance vascularization in this study. This paper highlights the enhanced capability of 3D micro-cavitary Gel-MA hydrogel for co-culturing HUVECs and HMSCs to promote vascularization which presents a potential strategy for future tissue repair and regeneration., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Objectives: To demonstrate the feasibility of the neurite orientation dispersion and density imaging (NODDI) technique in characterizing the microstructural changes in brain tissues during ischemic stroke and to compare its sensitivity with diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI)., Methods: Seventy-one patients with hyperacute/acute/subacute ischemic stroke were enrolled in the study. A multishell diffusion magnetic resonance imaging (dMRI) protocol was performed for each subject. Diffusion data were analyzed using the NODDI and diffusional kurtosis estimator toolboxes. Then, NODDI metrics between the lesions and the contralateral tissues were compared to evaluate their values in ischemic stroke. NODDI metrics among different stroke periods and the correlations between NODDI and the duration since stroke onset were analyzed as well. To compare the NODDI's sensitivity with established diffusion techniques, paired t-tests were performed to determine the absolute percentage changes of diffusion metrics between NODDI and DTI/DKI., Results: Compared with the contralateral tissues, lesions showed significantly increased values of intracellular volume fraction (V ic ) and orientation dispersion index (ODI) and decreased values of isotropic volume fraction (V iso ). ODI value was significantly different among three periods and showed fair to good positive correlation with the duration since stroke onset (R = 0.450). NODDI metrics showed significantly larger absolute percentage changes than that of DTI and DKI (P < 0.05, respectively)., Conclusion: NODDI allowed efficient evaluation of microstructural changes in brain tissues during ischemic stroke and showed increased sensitivity compared with DTI and DKI. The possible biophysical mechanisms underlying ischemia could be further elucidated using this advanced diffusion technique., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Purpose: Texture analysis performed on MR images can detect quantitative features that are imperceptible to human visual assessment. The purpose of this study was to evaluate the feasibility of texture analysis on preoperative conventional MRI to discriminate between histological subtypes in low-grade gliomas (LGGs), and to determine the utility of texture analysis compared to histogram analysis alone., Methods: A total of 41 patients with LGG, 21 astrocytoma and 20 1p/19q codeleted oligodendroglioma were included in this study. Patients were randomly divided into training (60%) and testing (40%) sets. Texture analysis was performed on conventional MRI sequences to obtain the most discriminant factor (MDF) values for both the training and testing data. Receiver operating characteristic (ROC) curve analyses were then performed using the MDF values and 9 histogram parameters in the training data to obtain cut-off values for determining the correct rate of discriminating between astrocytoma and oligodendroglioma in the testing data., Results: The ROC analyses using MDF values resulted in an area under the curve (AUC) of 0.91 (sensitivity 86%, specificity 87%) for T2w FLAIR, 0.94 (87%, 89%) for ADC, 0.98 (93%, 95%) for T1w, and 0.88 (78%, 86%) for T1w + Gd sequences. Using the best cut-off values, MDF correctly discriminated between the two groups in 94%, 82%, 100%, and 88% of cases in the testing data, respectively. The MDF outperformed all 9 of the histogram parameters., Conclusion: Texture analysis performed on conventional preoperative MRI images can accurately predict histological subtype of LGGs, which would have an impact on clinical management., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Diffusion-weighted MRI (dMRI) is a key component of clinical radiology. When analyzing diffusion-weighted images, radiologists often seek to infer microscopic tissue structure through measurements of the diffusion coefficient, D 0 (mm 2 /s). This multi-scale problem is framed by the creation of diffusion models of signal decay based on physical laws, histological structure, and biophysical constraints. The purpose of this paper is to simplify the model building process by focusing on the observed decay in the effective diffusion coefficient as a function of diffusion weighting (b-value), D(b), that is often observed in complex biological tissues. We call this approach the varying diffusion curvature (VDC) model. Since this is a heuristic model, the exact functional form of this decay is not important, so here we examine a simple exponential function, D(b) = D 0 exp(-bD 1 ), where D 0 and D 1 capture aspects of hindered and restricted diffusion, respectively. As an example of the potential of the VDC model, we applied it to dMRI data collected from normal and diseased human brain tissue using Stejskal-Tanner diffusion gradient pulses. In order to illustrate the connection between D 0 and D 1 and the sub-voxel structure we also analyzed dMRI data from families of Sephadex beads selected with increasing tortuosity. Finally, we applied the VDC model to dMRI simulations of nested muscle fiber phantoms whose permeability, atrophy, and fiber size distribution could be changed. These results demonstrate that the VDC model is sensitive to sub-voxel tissue structure and composition (porosity, tortuosity, and permeability), hence can capture tissue complexity in a manner that could be easily applied in clinical dMRI., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Background: Anomalous diffusion model has been introduced and shown to be beneficial in clinical applications. However, only the directionally averaged values of anomalous diffusion parameters were investigated, and the anisotropy of anomalous diffusion remains unexplored. The aim of this study was to demonstrate the feasibility of using anisotropy of anomalous diffusion for differentiating low- and high-grade cerebral gliomas., Methods: Diffusion MRI images were acquired from brain tumor patients and analyzed using the fractional motion (FM) model. Twenty-two patients with histopathologically confirmed gliomas were selected. An anisotropy metric for the FM-related parameters, including the Noah exponent (α) and the Hurst exponent (H), was introduced and their values were statistically compared between the low- and high-grade gliomas. Additionally, multivariate logistic regression analysis was performed to assess the combination of the anisotropy metric and the directionally averaged value for each parameter. The diagnostic performances for grading gliomas were evaluated using a receiver operating characteristic (ROC) analysis., Results: The Hurst exponent H was more anisotropic in high-grade than in low-grade gliomas (P = 0.015), while no significant difference was observed for the anisotropy of α. The ROC analysis revealed that larger areas under the ROC curves were produced for the combination of α (1) and the combination of H (0.813) compared with the directionally averaged α (0.979) and H (0.594), indicating an improved performance for tumor differentiation., Conclusion: The anisotropy of anomalous diffusion can provide distinctive information and benefit the differentiation of low- and high-grade gliomas. The utility of anisotropic anomalous diffusion may have an improved effect for investigating pathological changes in tissues., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Bioadhesives such as tissue adhesives, hemostatic agents, and tissue sealants have gained increasing popularity in different areas of clinical operations during the last three decades. Bioadhesives can be categorized into internal and external ones according to their application conditions. External bioadhesives are generally applied in topical medications such as wound closure and epidermal grafting. Internal bioadhesives are mainly used in intracorporal conditions with direct contact to internal environment including tissues, organs and body fluids, such as chronic organ leak repair and bleeding complication reduction. This review focuses on internal bioadhesives that, in contrast with external bioadhesives, emphasize much more on biocompatibility and adhesive ability to wet surfaces rather than on gluing time and intensity. The crosslinking mechanisms of present internal bioadhesives can be generally classified as follows: 1) chemical conjugation between reactive groups; 2) free radical polymerization by light or redox initiation; 3) biological or biochemical coupling with specificity; and 4) biomimetic adhesion inspired from natural phenomena. In this review, bioadhesive products of each class are summarized and discussed by comparing their designs, features, and applications as well as their prospects for future development., Statement of Significance: Despite the emergence of numerous novel bioadhesive formulations in recent years, thus far, the classification of internal and external bioadhesives has not been well defined and universally acknowledged. Many of the formulations have been proposed for treatment of several diseases even though they are not applicable for such conditions. This is because of the lack of a systematic standard or evaluation protocol during the development of a new adhesive product. In this review, the definition of internal and external bioadhesives is given for the first time, and with a focus on internal bioadhesives, the criteria of an ideal internal bioadhesive are adequately discussed; this is followed by the review of recently developed internal bioadhesives based on different gluing mechanisms., (Copyright © 2018 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.)

Objectives: The aim of this study was to use DKI to detect the microstructural change of the discs in matured normal rats., Methods: Total 24 normal SD rats (12 males/12 females) underwent DWI/DKI and T2 sequences with a 3T MRI scanner to get the values of ADC, FA, MD, Da, Dr, MK, Ka and Kr. The discs were categorized using a five-grade degeneration grading system in the T2-images. The height of the discs and the parameters in DWI/DKI were measured to compare between the different grades and sexes. The histological images and the images of fiber tracking were also done in the discs., Results: There were 30 Grade 1 and 18 Grade 2 in the discs. Compared with Grade 1, decreased ADC, increased FA and MK values were observed in Grade 2 (P<0.05). By the ROC analysis of grades of the discs, there was low diagnostic accuracy in ADC value, while FA and MK showed higher accuracy. In Grade 1, there were lower ADC value, lower Dr, higher MK, Ka and Kr in male's group than them in female's group. There were no differences in the parameters except the ADC value in the two sexes in Grade 2. The different microstructure of the normal discs in the male and female rats had been proved by the histological images and the images of fiber tracking., Conclusion: DKI is a noninvasive and sustainable means to test the changes of intervertebral discs. The discs in Grade 2 were also found in the normal matured SD rat tails. The assessment of the grade of the discs in T2-images should be done before the experimental management. There was microstructural difference in the nucleus pulposus in the discs in Grade 1 and 2. FA and MK showed higher diagnostic accuracy. The laboratory rats should be the same sex because the microstructure of the normal discs weren't the same., (Copyright © 2017 Elsevier Inc. All rights reserved.)

We analyzed, in an integrative fashion, the morphometry and structural integrity of the bilateral hippocampi and amygdalas in Alzheimer's disease (AD) using T1-weighted images and diffusion tensor images (DTIs). We detected significant hippocampal and amygdalar volumetric atrophies in AD relative to healthy controls (HCs). Shape analysis revealed significant region-specific atrophies with the hippocampal atrophy mainly being concentrated on the CA1 and CA2 while the amygdalar atrophy was concentrated on the basolateral and basomedial. In all structures, the structural integrity displayed a significantly decreased mean fractional anisotropy (FA) value and an increased mean trace value in AD. In addition to the inter-group comparisons, we systematically evaluated the discriminative power of our three types of features (volume, shape, and DTI), both individually and in their possible combinations, when differentiating between AD and HCs. We found the volume features to be redundant when the more sophisticated shape features were available. A combination of the shape and DTI features of the right hippocampus, with classification automatically performed by support vector machine, yielded the strongest classification result (overall accuracy, 94.6%; sensitivity, 95.5%; specificity, 93.3%)., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Purpose: Diffusional kurtosis imaging (DKI), as a non-Gaussian diffusion model, has been applied in human and animal studies of ischemic stroke. This study aimed to intensively characterize the temporal evolution of DKI-derived variables in an experimental middle cerebral artery occlusion (MCAO) model, and to explore its potential application in ischemic stroke., Materials and Methods: Eleven MCAO rats and ten control rats underwent DKI and diffusion weighted imaging (DWI) scans, at different time points of 0.5, 2, 6, 12, 24 and 72h after operation respectively. The infarct area in DKI- and DWI-derived variables was compared among different time points, and between different groups [INFARCTION, MIRROR, CONTROL-R (right side of the control group, the same side as in the infarction group), CONTROL-L (left side of the control group)] using repeated measures analysis of variance (ANOVA). The percent changes from normal to that in ischemic tissues and histology were also evaluated., Results: In the infarct region, from 0.5 to 72h, MK, K∥, K⊥ demonstrated irregular high signal, whereas relative homogeneous low signals were revealed by MD, D∥, D⊥ and ADC. Compared with the MIRROR and CONTROL-R group, MK, K∥, K⊥ in the infarcted area increased aggressively which peaked at 12h and gradually decreased; MD, D∥, D⊥ and ADC decreased gradually until 12h and then began to increase gradually; FA decreased rapidly from 0.5 to 72h. MD, D∥ and ADC were significantly different between Mirror and CONTROL-L group (P<0.05)., Conclusion: DKI can provide more detailed information to describe ischemic lesion, and has great potential application in ischemic stroke., (Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.)

It has been a great challenge to develop aldehyde-free tissue adhesives that can function rapidly and controllably on wet internal tissues with fine adhesion strength, sound biocompatibility and degradability. To this end, we have devised a mussel-inspired easy-to-use double-crosslink tissue adhesive (DCTA) comprising a dopamine-conjugated gelatin macromer, a rapid crosslinker (namely, Fe(3+)), and a long-term acting crosslinker (namely, genipin). As a mussel-inspired gluing macromer, dopamine is grafted onto gelatin backbone via an one-step reaction, the catechol groups of which are capable of performing strong wet adhesion on tissue surfaces. By addition of genipin and Fe(3+), the formation of catechol-Fe(3+) complexation and accompanying spontaneous curing of genipin-primed covalent crosslinking of gluing macromers in one pot endows DCTA with the double-crosslink adhesion mechanism. Namely, the reversible catechol-Fe(3+) crosslinking executes an controllable and instant adhesive curing; while genipin-induced stable covalent crosslinking promises it with long-term effectiveness. This novel DCTA exhibits significantly higher wet tissue adhesion capability than the commercially available fibrin glue when applied on wet porcine skin and cartilage. In addition, this DCTA also demonstrates fine elasticity, sound biodegradability, and biocompatibility when contacting in vitro cultured cells and blood. In vivo biocompatibility and biodegradability are checked and confirmed via trials of subcutaneous implantation in nude mice model. This newly developed DCTA may be a highly promising product as a biological glue for internal medical use including internal tissue adhesion, sealing, and hemostasis., Statement of Significance: There is a great demand for ideal tissue adhesives that can be widely used in gluing wet internal tissues. Here, we have devised a mussel-inspired easy-to-use double-crosslink tissue adhesive (DCTA) that meets the conditions as an ideal tissue adhesive. It is composed of gelatin-dopamine conjugates - a gluing macromer, Fe(3+) - a rapid crosslinker, and genipin - a long-term acting crosslinker. This DCTA is constructed with a novel complexation-covalent double-crosslinking principle in one pot, in which the catechol-Fe(3+) crosslinking executes a controllable and instant adhesive curing, at the same time, genipin-induced covalent crosslinking promises it with long-term effectiveness in physiology conditions. This novel DCTA, with excellent wet tissue adhesion capability, fine elasticity, sound biodegradability, and biocompatibility, is a promising biological glue for internal medical use in surgical operations., (Copyright © 2016 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.)

As the core structure of flavonoids, flavone has been proved to possess anticancer effects. Flavone's growth inhibitory functions are related to NO. NO is synthesized by nitric oxide synthase (NOS), and generally increased in a variety of cancer cells. NO regulates multiple cellular responses by S-nitrosylation. In this study, we explored flavone-induced regulations on nitric oxide (NO)-related cellular processes in breast cancer cells. Our results showed that, flavone suppresses breast cancer cell proliferation and induces apoptosis. Flavone restrains NO synthesis by does-dependent inhibiting NOS enzymatic activity. The decrease of NO generation was detected by fluorescence microscopy and flow cytometry. Flavone-induced inhibitory effect on NOS activity is dependent on intact cell structure. For the NO-induced protein modification, flavone treatment significantly down-regulated protein S-nitrosylation, which was detected by "Biotin-switch" method. The present study provides a novel, NO-related mechanism for the anticancer function of flavone., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Objective: To compare the results of magnetic resonance spectroscopy (MRS) and diffusion tensor imaging (DTI) in amyotrophic lateral sclerosis (ALS) patients., Methods: Nineteen ALS patients and thirteen age-matched healthy controls underwent MRS and DTI between October 2013 and July 2014. Fractional anisotropy (FA), apparent diffusion coefficient (ADC), N-acetylaspartate (NAA), choline (Cho), and creatine (Cr) were collected as the quantitative results of the imaging study. The ALS functional rating scale-revised (ALSFRS-R) and disease progression rate were evaluated to assess patients' disability. The imaging study results were compared between ALS patients and healthy controls. The relationship between disability assessment and imaging study results was analyzed., Results: NAA/Cr in the motor cortex and FA in the corticospinal tract (CST) of both sides were significantly lower in patients than controls. There was no significant difference between the two groups in Cho/Cr, tract length, tract volume, ADC or NAA. No relationship was found between ALSFRS-R and FA (r=0.243, p=0.316) in the right CST; NAA (r=0.095, p=0.699) or NAA/Cr (r=0.172, p=0.481) in the left motor cortex; or NAA (r=0.320, p=0.182) or NAA/Cr (r=0.193, p=0.492) in the right motor cortex. There was no relationship between the disease progression rate and FA, NAA, or NAA/Cr on either side., Conclusion: NAA/Cr and FA can help diagnose ALS. Regional brain NAA/Cr and FA values could not assess the ALSFRS-R or disease progression rate., (Copyright © 2014 Elsevier B.V. All rights reserved.)

Imaging markers derived from magnetic resonance images, together with machine learning techniques allow for the recognition of unique anatomical patterns and further differentiating Alzheimer's disease (AD) from normal states. T1-based imaging markers, especially volumetric patterns have demonstrated their discriminative potential, however, rely on the tissue abnormalities of gray matter alone. White matter abnormalities and their contribution to AD discrimination have been studied by measuring voxel-based intensities in diffusion tensor images (DTI); however, no systematic study has been done on the discriminative power of either region-of-interest (ROI)-based features from DTI or the combined features extracted from both T1 images and DTI. ROI-based analysis could potentially reduce the feature dimensionality of DTI indices, usually from more than 10e+5, to 10-150 which is almost equal to the order of magnitude with respect to volumetric features from T1. Therefore it allows for straight forward combination of intensity based landmarks of DTI indices and volumetric features of T1. In the present study, the feasibility of tract-based features related to Alzheimer's disease was first evaluated by measuring its discriminative capability using support vector machine on fractional anisotropy (FA) maps collected from 21 subjects with Alzheimer's disease and 15 normal controls. Then the performance of the tract-based FA+gray matter volumes-combined feature was evaluated by cross-validation. The combined feature yielded good classification result with 94.3% accuracy, 95.0% sensitivity, 93.3% specificity, and 0.96 area under the receiver operating characteristic curve. The tract-based FA and the tract-based FA+gray matter volumes-combined features are certified their feasibilities for the recognition of anatomical features and may serve to complement classification methods based on other imaging markers., (Copyright © 2014 Elsevier Inc. All rights reserved.)

Objectives: To evaluate the agreements of unidimensional, bidimensional, area and volume measurements of pulmonary tumors on multidetector computed tomography (MDCT), and to determine which method is the most reliable one., Materials and Methods: Thirty patients with pulmonary tumors were enrolled in this study, which referred to undergo thoracic MDCT in our hospital. Four radiologists evaluated dimensions of pulmonary tumor independently, including length, width, height, area and volume. The intraclass correlation coefficient (ICC) and concordance correlation coefficient (CCC) were both used to evaluate the variability between the repeat readings of the same scan., Results: The ICCs and CCCs of the intraobserver were both higher than interobserver's (ICC intra vs. inter: 0.984 vs. 0.947 and CCC intra vs. inter: 0.993 vs. 0.943). Area of intraobserver ICC (ICC=0.992, P<.001) and CCC (CCC=0.997, P<.001) both had the best agreements of the six methods. Among the interobserver ICCs and CCCs, area (ICC=0.981, P<.001 and CCC=0.982, P<.001) was also the best of the six methods., Conclusions: Area measurement on MDCT is the most reproducible method that measures tumor dimension accurately., (© 2013 Elsevier Inc.)

It is difficult to predict the neurologic outcome of neonates with hypoxic-ischemic encephalopathy (HIE). Our goal was to investigate the prognostic values of magnetic resonance spectroscopy (MRS) in neonatal HIE. During this study, 46 neonates with HIE underwent magnetic resonance imaging (MRI) and proton MRS ((1)HMRS). The sample included 25 cases of mild HIE, 11 cases of moderate HIE, and 10 cases of severe HIE. Nine healthy neonates without asphyxia served as controls. (1)HMRS techniques included single-voxel MRS and 2-D-point-resolved spatially localized spectroscopy (PRESS) multivoxel chemical shift spectroscopy imaging. Then, 31 of 46 neonates with HIE were divided into 3 groups according to their prognosis: dead, abnormal, and normal outcome. Abnormal and normal outcome were defined by follow-up MRI. Metabolic changes were analyzed and compared with HIE grading and prognosis. As a result, the GLx-alpha peak was markedly increased in the moderate and severe HIE groups. The GLx-alpha/Cr ratio in the control, mild, moderate, and severe HIE groups was 0.18, 0.21, 0.64, 1.31, respectively. The Lac/Cr ratio was 0.12, 0.14, 0.19, and 0.26, respectively. A Spearman rank correlation test confirmed that the ratio of GLx-alpha/Cr and Lac/Cr had significant positive correlation with clinical grading of HIE (P < 0.01). The GLx-alpha/Cr ratio in the dead, abnormal, and normal outcome groups was 1.28, 0.82, and 0.25, respectively; the Lac/Cr ratio was 0.34, 0.19, and 0.14, respectively. An anaylsis of variance demonstrated that the differences were significant (both P < 0.01). A Spearman rank correlation test confirmed that the ratio of GLx-alpha/Cr and Lac/Cr had significant negative correlation with prognosis of HIE; GLx-alpha/Cr showed a much stronger correlation than the Lac/Cr ratio (P < 0.01). The formula of the relationship between the poor prognosis of HIE and the ratio of GLx-alpha/Cr in basal ganglia was established by the logistic regression model. In conclusion, (1)HMRS is a useful tool for evaluating the severity and prognosis of HIE. The higher ratio of GLx-alpha/Cr in the basal ganglia and thalamus may predict a poor outcome in neonates with HIE.