Magnetic resonance imaging最新文献

{"title":"Susceptibility-weighted imaging findings in a patient with systemic cobalt toxicity","authors":"Rahul Monga ,&nbsp;Earn Chun Christabel Lee ,&nbsp;Kelly Johnson-Arbor","doi":"10.1016/j.mri.2026.110624","DOIUrl":"10.1016/j.mri.2026.110624","url":null,"abstract":"<div><h3>Introduction</h3><div>Systemic manifestations of cobalt toxicity include neurological, cardiac, and endocrine dysfunction. Neuroimaging findings in patients with cobalt intoxication are not well characterized.</div></div><div><h3>Case summary</h3><div>A 45-year-old woman developed bilateral sensorineural hearing loss after undergoing revision total hip arthroplasty and was subsequently diagnosed with cobalt toxicity. She underwent a second revision total hip arthroplasty, but her hearing loss persisted. As part of her otolaryngology evaluation, magnetic resonance imaging of the internal auditory canals was performed. Susceptibility-weighted imaging sequences on magnetic resonance imaging revealed increased mineralization in the basal ganglia and midbrain.</div></div><div><h3>Discussion</h3><div>Susceptibility-weighted imaging, which uses magnetic properties of tissues to enhance imaging, can detect mineral deposition in the brain. Since cobalt is magnetic, its brain deposition may be identified on susceptibility-weighted imaging, but the clinical implications of this are unclear.</div></div><div><h3>Conclusion</h3><div>Magnetic resonance imaging abnormalities, including mineralization on susceptibility-weighted imaging sequences, may occur in patients with systemic cobalt toxicity. Further research efforts may clarify the clinical significance of these abnormalities in cobalt-poisoned individuals.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"128 ","pages":"Article 110624"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146030124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time-dependent diffusion MRI–based microstructural mapping for predicting IDH mutation status in glioma: A multicenter study","authors":"Wanjun Hu ,&nbsp;Wentao Liu ,&nbsp;Darui Li ,&nbsp;Liang Niu ,&nbsp;Yuping Han ,&nbsp;Junwei Chang ,&nbsp;Tianyong Xu ,&nbsp;Yuhui Xiong ,&nbsp;Zhiqiang Ouyang ,&nbsp;Qiang Liang ,&nbsp;Jing Zhang","doi":"10.1016/j.mri.2025.110598","DOIUrl":"10.1016/j.mri.2025.110598","url":null,"abstract":"<div><h3>Objectives</h3><div>To evaluate whether time-dependent diffusion MRI(td-dMRI)-based microstructural histogram parameters can accurately distinguish IDH mutation status in gliomas, with multicenter external validation.</div></div><div><h3>Methods</h3><div>In this prospective dual-center study, patients with pathologically confirmed glioma underwent preoperative conventional MRI and td-dMRI-based. Microstructural parameters including intracellular volume fraction (Vin), intracellular diffusivity (Din), extracellular diffusivity (Dex), cellularity, and cell diameter—were derived using the IMPULSED model. ADC values at different frequencies (25 Hz, 50 Hz, PGSE) were also computed. Tumor regions were manually segmented by two radiologists, excluding necrosis and edema. Voxel-wise values were extracted, and histogram features were computed using PyRadiomics. Feature selection included the Mann–Whitney <em>U</em> test, Spearman correlation, and logistic regression. A predictive model for IDH mutation status was developed using data from Center A and externally validated in Center B. Model performance was assessed using AUC, calibration curves, and confusion matrices.</div></div><div><h3>Results</h3><div>Among 147 histogram features extracted from seven td-dMRI–based mapping, eight nonredundant features significantly differed between IDH-wildtype and IDH-mutant gliomas. A logistic regression model based on ADC_PGSE_firstorder_Energy and cellularity_firstorder_10Percentile yielded AUCs of 0.801 (training) and 0.771 (validation). ADC_PGSE and cellularity were positively correlated with the Ki-67 index (<em>P</em> &lt; 0.05).</div></div><div><h3>Conclusion</h3><div>Histogram features from td-dMRI (ADC_PGSE and cellularity) enabled robust IDH mutation prediction in a multicenter glioma cohort.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"128 ","pages":"Article 110598"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145804885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Paramagnetic susceptibility versus QSM for estimating OEF: A comparative study in cerebral small vessel disease","authors":"Wenyu Zhou ,&nbsp;Dan Luo ,&nbsp;Hao Chen ,&nbsp;Meiling Wang ,&nbsp;Yongmei Li","doi":"10.1016/j.mri.2026.110623","DOIUrl":"10.1016/j.mri.2026.110623","url":null,"abstract":"<div><h3>Background</h3><div>The oxygen extraction fraction (OEF) is a key parameter of cerebral metabolism and a potential biomarker for cerebral small vessel disease (SVD). Quantitative susceptibility mapping (QSM) allows non-invasive OEF mapping but is confounded by the opposing magnetic susceptibilities of deoxyhemoglobin and oxyhemoglobin. We evaluated a novel method that separates the paramagnetic susceptibility component for OEF estimation and compared it with conventional QSM in SVD patients and healthy controls (HC).</div></div><div><h3>Methods</h3><div>27 SVD patients and 23 HC underwent multi-echo GRE MRI for QSM reconstruction. The paramagnetic susceptibility was separated using APART-QSM. The straight sinus (SS) and superior sagittal sinus (SSS) were segmented for regional OEF calculation using both conventional QSM and paramagnetic susceptibility. Statistical comparisons were performed using Welch's <em>t</em>-test.</div></div><div><h3>Results</h3><div>Paramagnetic susceptibility was significantly higher than total QSM (<em>p</em> &lt; 0.05), while OEF derived from paramagnetic susceptibility was significantly lower (<em>p</em> &lt; 0.05). OEF values derived from paramagnetic susceptibility (HC: 22.5 ± 4.8% in SS, 19.3 ± 4.6% in SSS; SVD: 23.4 ± 5.1% in SS, 19.0 ± 4.5% in SSS) were significantly lower (p &lt; 0.05) than those obtained via conventional QSM (HC: 29.0 ± 3.5% in SS, 26.8 ± 3.3% in SSS; SVD: 29.8 ± 3.8% in SS, 26.5 ± 3.2% in SSS). No significant OEF differences were found between HC and SVD cohorts in the analyzed venous regions.</div></div><div><h3>Conclusion</h3><div>This study demonstrates the feasibility of separating the paramagnetic susceptibility component via APART-QSM for quantitative OEF estimation. While the derived OEF values were lower than those from conventional QSM, the method theoretically offers improved specificity by disentangling deoxygenation-driven susceptibility from diamagnetic confounds, highlighting its potential as a refined biomarker for cerebral oxygen metabolism subject to further optimization.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"128 ","pages":"Article 110623"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146041010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Memoriam: Dr. Shoji Naruse (1945-2025).","authors":"Ichio Aoki, Chuzo Tanaka, Toshihiro Higuchi, Toshihiko Ebisu, Masahiro Umeda, Masaki Fukunaga, Yuki Mori, Yoshiharu Horikawa, Seiichi Furuya, Takaaki Tokumitsu, Tetsuro Takegami, Kei Yamada, Michael Weiner","doi":"10.1016/j.mri.2026.110626","DOIUrl":"https://doi.org/10.1016/j.mri.2026.110626","url":null,"abstract":"","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"128 ","pages":"110626"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147348539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stratifying non-alcoholic fatty liver disease using diffusion-weighted imaging–based habitat imaging: A rabbit model study","authors":"Jiale Hang ,&nbsp;Wenjian Wang ,&nbsp;Furong Wan ,&nbsp;Zhaorong Wang ,&nbsp;Jun Sun ,&nbsp;Dejuan Shen ,&nbsp;Jing Ye ,&nbsp;Xianfu Luo","doi":"10.1016/j.mri.2026.110614","DOIUrl":"10.1016/j.mri.2026.110614","url":null,"abstract":"<div><h3>Purpose</h3><div>Habitat imaging integrated multiparametric biomarkers, enabling precise quantification and visualization of hepatic tissue characteristics. This work evaluated DWI-based habitat imaging for stratifying Non-alcoholic Fatty Liver Disease (NAFLD) stages to enable early detection of Nonalcoholic Steatohepatitis (NASH).</div></div><div><h3>Methods</h3><div>Using existing DWI data from 32 male New Zealand rabbits randomized to high-fat/cholesterol or standard diets (NAFLD model), we applied a novel habitat imaging framework integrating mono-exponential diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), stretched exponential model (SEM), and diffusion kurtosis imaging (DKI) models. This identified four hepatic habitats reflecting perfusion, diffusion heterogeneity, and microstructural complexity. Unlike prior diffusion analyses, habitat fractions (H₁ - H₄) and heterogeneity (HH) indices were derived <em>via</em> spatial multiparametric pattern recognition. Diagnostic performance for NASH was assessed by AUC.</div></div><div><h3>Results</h3><div>NASH was characterized by a significantly lower fraction of habitat 1 (H₁) and higher fraction of habitat 4 (H₄) (<em>p</em> &lt; 0.05). Habitat heterogeneity (HH) was markedly reduced in NASH <em>versus</em> normal histology and simple steatosis (<em>p</em> &lt; 0.05). For distinguishing NASH, H₁ demonstrated a numerically higher AUC (0.931) compared to H₁ + H₄ (AUC = 0.922) and perfusion fraction (<em>f</em>, AUC = 0.909). However, the DeLong test confirmed no statistically significant differences among these AUC values.</div></div><div><h3>Conclusion</h3><div>DWI habitat imaging is a promising tool for NAFLD monitoring, detecting tissue heterogeneity with diagnostic performance comparable to conventional diffusion metrics.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"128 ","pages":"Article 110614"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145952394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decreased levels of N-Acetylaspartyglutamate, myo-inositol, and syllo-inositol, in cortical brain regions of women exposed to adverse childhood experiences","authors":"Rocío Artigas ,&nbsp;Sergio Ruiz ,&nbsp;Cristián Montalba ,&nbsp;Claudio Peñafiel ,&nbsp;Rodrigo Figueroa ,&nbsp;Pablo Irarrazaval","doi":"10.1016/j.mri.2026.110621","DOIUrl":"10.1016/j.mri.2026.110621","url":null,"abstract":"<div><div>Adverse Childhood Experiences (ACE), including abuse and neglect, can have lasting negative effects on health, decreasing lifespan and increasing the risk of chronic diseases. While research on ACE's impact on brain biochemistry is limited, Magnetic Resonance Spectroscopy (MRS) provides a non-invasive way to study these alterations. This study aims to identify neurochemical patterns linked to ACE exposure using J-edited MRS methods.</div><div>43 female participants (18 Low-ACE and 25 High-ACE), aged 19 to 31, were recruited. ACE exposure was assessed using the Maltreatment and Abuse Chronology of Exposure (MACE) test. MRS was conducted on a 3.0 T scanner, with J-edited single-voxel 1H-MRS from the Anterior Cingulate Cortex (ACC), Pre-Frontal Cortex (PFC), and hippocampus. Metabolite quantification was carried out using the Osprey pipeline and analyzed using univariate and multivariate methods.</div><div>Univariate analysis showed reduced N-Acetylaspartyglutamate (NAAG) and syllo-Inositol (sI) levels in the ACC (<em>p</em> = 0.06) and PFC (<em>p</em> = 0.057), respectively, among High-ACE participants. Logistic Regression identified lower NAAG, GABA, glutathione (GSH), and myo-Inositol (mI) in the ACC, and differences in sI, lactate, NAAG, and GSH in the PFC, within the High-ACE group. Random Forest and Support Vector Machines confirmed NAAG, mI, and sI as possible ACE biomarkers.</div><div>Throughout this study, cortical regions consistently showed reduced levels of NAAG, mI, and sI in the High-ACE group, suggesting a potential link to ACE. These findings improve our understanding of neurochemical changes associated with ACE, aiding in the identification of at-risk individuals and in the development of strategies to prevent long-term health effects.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"128 ","pages":"Article 110621"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146030143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tissue-specific nuclear spin-spin relaxation anisotropy and water nano-confinement in celery stalks","authors":"Alexander Panich,&nbsp;Ilana Bar","doi":"10.1016/j.mri.2026.110638","DOIUrl":"10.1016/j.mri.2026.110638","url":null,"abstract":"<div><div>Recent magnetic resonance imaging (MRI) measurements have revealed proton spin-spin relaxation anisotropy in only one component of the celery stalk, even though water accounts for up to 95% of its weight and is present throughout all its tissues. Our analysis shows that this anisotropy arises from nanoconfined water within the collenchyma cell walls. In these regions, restricted molecular motion and hydrogen bonding between water molecules and cell-wall constituents give rise to residual anisotropic dipolar interactions. In contrast, water in the xylem, phloem, and parenchyma occupies larger cavities, acts like a bulk liquid, and shows no angular dependence in its nuclear relaxation behavior. These results suggest that nuclear spin-spin relaxation anisotropy may serve as a unique feature of nanoconfined water in biological tissues, contributing to the study of water behavior in plants, their microscopic structures, and aiding research on plant physiology.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"128 ","pages":"Article 110638"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146119477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Memoriam: Dr. Shoji Naruse (1945–2025)","authors":"Ichio Aoki ,&nbsp;Chuzo Tanaka ,&nbsp;Toshihiro Higuchi ,&nbsp;Toshihiko Ebisu ,&nbsp;Masahiro Umeda ,&nbsp;Masaki Fukunaga ,&nbsp;Yuki Mori ,&nbsp;Yoshiharu Horikawa ,&nbsp;Seiichi Furuya ,&nbsp;Takaaki Tokumitsu ,&nbsp;Tetsuro Takegami ,&nbsp;Kei Yamada","doi":"10.1016/j.mri.2026.110626","DOIUrl":"10.1016/j.mri.2026.110626","url":null,"abstract":"","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"128 ","pages":"Article 110626"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146046881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CvTFuse: An unsupervised medical image fusion method of gliomas T1-DWI mode","authors":"Qianjia Huang ,&nbsp;Wei Chen ,&nbsp;Jiahui Zeng ,&nbsp;Jiangyi Ding ,&nbsp;Kai Xie ,&nbsp;Nannan Cao ,&nbsp;Kangkang Sun ,&nbsp;Zhuqing Jiao ,&nbsp;Jing Cai ,&nbsp;Xinye Ni","doi":"10.1016/j.mri.2026.110618","DOIUrl":"10.1016/j.mri.2026.110618","url":null,"abstract":"<div><h3>Background</h3><div>DWI can provide microscopic information on the diffusion of water molecules, whereas T1WI can provide high-resolution anatomical and histological information.</div></div><div><h3>Purpose</h3><div>Accurately and effectively fusing different MRI modalities can precisely localize lesion areas and provide rich information for analyzing the nature of lesions.</div></div><div><h3>Methods</h3><div>We propose a dual-branch medical image fusion network that combines convolutional neural network (CNN) and vision transformer (CvTFuse). CvTFuse consists of three parts: encoder, fusion layer, and decoder. The encoder is divided into a CNN module and a transformer module, which are used to extract local and global features of the source image. To completely capture the contextual information of the image, a global context aggregation module (GCAM) is proposed, which aggregates multi-scale features extracted from the transformer branch to improve the quality of the fused image. The fusion layer employs an energy-aware and gradient-enhanced fusion strategy to help retain the details in the source images for feature fusion of different MRI modalities. The decoder consists of five convolutional layers and two skip connections to reconstruct the fused features.</div></div><div><h3>Results</h3><div>Qualitative results showed that this method presented clear texture details and sharp boundaries, preserving the salient information of the source images to the greatest extent. Quantitative results indicated that the method achieved average gradient, information entropy, mutual information, and visual saliency of 4.5975, 4.9073, 2.5181, and 0.77, respectively. Qualitative and quantitative results demonstrated that compared with deep learning fusion methods such as DenseFuse, RFN-Nest, MSDNet, IFCNN, CDDFuse, and SwinFusion, this method maintained gradient information, texture information, and edge details very well, while also minimizing information loss and reducing distortion.</div></div><div><h3>Conclusion</h3><div>This method can combine information from different modalities of MR images, allowing for accurate localization of lesion areas. It also utilizes rich clinical information to aid in the precise diagnosis and formulation of treatment plans.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"128 ","pages":"Article 110618"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145994312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging evidence of diabetic pancreatopathy: An exploratory IVIM MRI study","authors":"Boyu Liu ,&nbsp;Feng Huang ,&nbsp;Peng Liu ,&nbsp;Xi Wu ,&nbsp;Dandan Zhou ,&nbsp;Siyou Yi ,&nbsp;Qianbiao Gu","doi":"10.1016/j.mri.2026.110610","DOIUrl":"10.1016/j.mri.2026.110610","url":null,"abstract":"<div><h3>Background</h3><div>To investigate pancreatic microstructural alterations in type 2 diabetes mellitus (T2DM) using intravoxel incoherent motion (IVIM) MRI.</div></div><div><h3>Methods</h3><div>This cross-sectional study enrolled 152 participants (72 T2DM, 80 controls). IVIM-derived parameters (perfusion fraction F, diffusion coefficient D) were quantified in pancreatic head, body, and tail. Group comparisons utilized multivariable logistic regression adjusted for confounders; disease duration correlation was assessed via Pearson's test.</div></div><div><h3>Results</h3><div>T2DM patients exhibited significantly elevated perfusion fraction F in the pancreatic head (adjusted OR = 1.06, <em>P</em> = 0.015). Conversely, the pancreatic tail demonstrated a nominally reduced pure diffusion coefficient (D_p) across models (adjusted OR = 0.99, <em>P</em> = 0.028), indicating microstructural damage. Longitudinal analysis revealed that tail F positively correlated with T2DM duration (<em>r</em> = 0.39, <em>P</em> &lt; 0.01), while tail D_p negatively correlated (<em>r</em> = −0.25, <em>P</em> = 0.05), suggesting progressive tail-specific pathology.</div></div><div><h3>Conclusion</h3><div>This exploratory IVIM MRI study suggests a spatial heterogeneity in diabetic pancreatopathy, characterized by compensatory perfusion changes in the pancreatic head alongside progressive microstructural alterations in the tail. Pancreatic-tail IVIM parameters, particularly perfusion fraction F which correlated with disease duration, may represent candidate imaging biomarkers for diabetic pancreatic injury, warranting further validation in larger cohorts.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"128 ","pages":"Article 110610"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145900705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}