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Current Issue:  Vol 17, Issue 1, 01/2026 RSS    

Association between gestational diabetes mellitus and brain development in very preterm infants: A quantitative 3D-ASL study

DING Tan<sup>1,2,3</sup>, FU Yiwei<sup>1,2,3</sup>, LI Sike<sup>1,2,3</sup>, WANG Ning<sup>1,2,3</sup>, LIU Xueyan<sup>1,2,3</sup>, FENG Zhanqi<sup>1,2,3</sup>, ZHOU Tian<sup>1,2,3</sup>, LU Lin<sup>1,2,3</sup>, ZHAO Xin<sup>1,2,3*</sup>

2026,17(1):1-7, 28 | DOI:10.12015/issn.1674-8034.2026.01.001

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Alterations of spontaneous brain activity and functional connectivity in chronic smokers: A resting state magnetic resonance imaging study

LIU Yuancheng, WANG Di, ZHANG Xiaoyong, WU Mingfeng, CHEN Hanwei, LIU Xinfeng, LIAO Dan<sup>*</sup>

2026,17(1):8-12 | DOI:10.12015/issn.1674-8034.2026.01.002

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Alterations in the structures of subcortical nuclei and structural covariance network properties in classic trigeminal neuralgia

WANG Danyang<sup>1,2,3</sup>, JIANG Jingqi<sup>1,2,3</sup>, YUAN Wenhuan<sup>1,3</sup>, ZHANG Pengfei<sup>1,2,3,4</sup>, MA Xiaojin<sup>1,2,3</sup>, ZHANG Jing<sup>1,2,3*</sup>

2026,17(1):13-21, 58 | DOI:10.12015/issn.1674-8034.2026.01.003

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A study on the brain network connectivity of adolescent depression patients with childhood trauma treated with eye movement desensitization and reprocessing combined with sertraline based on rs-fMRI

LEI Hongjun, PENG Juan, ZHANG Daoen, WANG Qingjian, REN Yao, ZUO Yunfeng, ZHANG Gaofeng<sup>*</sup>

2026,17(1):22-28 | DOI:10.12015/issn.1674-8034.2026.01.004

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Value of interpretable machine learning models based on sMRI in predicting aggressive and violent behaviors in schizophrenia patients

LIU Shihan<sup>1</sup>, KAN Jianfei<sup>2</sup>, WANG Meijie<sup>3</sup>, ZHENG Changyong<sup>1</sup>, CHEN Fujian<sup>1*</sup>

2026,17(1):29-34 | DOI:10.12015/issn.1674-8034.2026.01.005

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Correlation between arterial recanalization and the susceptibility vessel sign following endovascular therapy in patients with acute ischemic stroke

GENG Yue<sup>1</sup>, ZHANG Mi<sup>1</sup>, WANG Lujiahui<sup>1</sup>, CHEN Juping<sup>2</sup>, LI Junchen<sup>1</sup>, QIAN Xin<sup>1</sup>, CHEN Yu<sup><sup>,</sup></sup>ang<sup>1</sup>, TAN Yanhuan<sup>1*</sup>

2026,17(1):35-41, 91 | DOI:10.12015/issn.1674-8034.2026.01.006

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Value of DCE-MRI-based tumor heterogeneity quantification and deep learning in predicting neoadjuvant chemotherapy response in breast cancer

ZHANG Qing<sup>1</sup>, CHEN Jiming<sup>1*</sup>, WU Lili<sup>1</sup>, DING Jun<sup>1</sup>, YE Hui<sup>1</sup>, XIA Yi<sup>1</sup>, JIANG Xuan<sup>1</sup>, JIAO Nanlin<sup>2</sup>

2026,17(1):42-50 | DOI:10.12015/issn.1674-8034.2026.01.007

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The advantage of gadoxetate disodium-enhanced MRI in differentiating focal chronic inflammatory lesions of the liver from solitary hepatic metastases

ZHANG Mingyu<sup>1,2</sup>, ZHU Zhi<sup>1,2</sup>, CAI Fengcan<sup>1,2</sup>, WU Qingde<sup>1*</sup>, OU Jianhong<sup>1</sup>

2026,17(1):51-58 | DOI:10.12015/issn.1674-8034.2026.01.008

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Prediction of treatment response to neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer by interpretable model based on multiparametric MRI

LI Xuemeng<sup>1</sup>, ZHOU Yanfei<sup>2</sup>, WANG Aoyang<sup>3</sup>, ZHAO Min<sup>3</sup>, WANG Jing<sup>3</sup>, JIANG Li<sup>4</sup>, WEI Wei<sup>5</sup>, GAO Fei<sup>1,5*</sup>

2026,17(1):59-68, 122 | DOI:10.12015/issn.1674-8034.2026.01.009

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Interpretable machine learning model based on DCE-MRI habitat imaging radiomics for predicting lymph node metastasis in rectal cancer

SUN Yun<sup>1</sup>, LI Feixiang<sup>1</sup>, CHEN Xuemin<sup>1</sup>, ZHANG Yingying<sup>1</sup>, HUANG Gang<sup>2*</sup>

2026,17(1):69-78 | DOI:10.12015/issn.1674-8034.2026.01.010

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Prediction of lymph node metastasis in cervical cancer using virtual magnetic resonance elastography

ZHANG Yuejie<sup>1</sup>, YANG Zihan<sup>2</sup>, DONG Linxiao<sup>1</sup>, LIU Jinjin<sup>2</sup>, CHEN Jiejie<sup>2</sup>, JIANG Wenliang<sup>1</sup>, FAN Rongke<sup>1</sup>, WU Qingxia<sup>3</sup>, WU Qingxia<sup>1,2*</sup>, WANG Meiyun<sup>1,2,4</sup>

2026,17(1):79-84 | DOI:10.12015/issn.1674-8034.2026.01.011

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Conventional clinicopathological features combined with MRI-based radiomics model for predicting programmed death-ligand 1 expression

SUN Xin, QIN Fengying, TIAN Mingke, WEI Yuze, GAO Xiaozhuo, DONG Yue<sup>*</sup>

2026,17(1):85-91 | DOI:10.12015/issn.1674-8034.2026.01.012

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Prognostic value of an MRI-based radiomics machine learning model for patients with locally advanced cervical cancer undergoing concurrent chemoradiotherapy

SUN Liting<sup>1</sup>, SHANG Jianan<sup>1</sup>, ZHANG Qinghua<sup>2*</sup>

2026,17(1):92-98 | DOI:10.12015/issn.1674-8034.2026.01.013

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A prenatal MRI signs- clinical scoring system to predict the classifications of placenta accreta spectrum

ZHANG Yu, WANG Xinlian, LIANG Yuting<sup>*</sup>

2026,17(1):99-104, 133 | DOI:10.12015/issn.1674-8034.2026.01.014

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The diagnostic value of radiomics features of the lateral pterygoid muscle, articular disc, and bilaminar zone on MRI in temporomandibular disorders

SUN Siqi, LIU Mengqiu, ZHAO Jiajia, JIANG Pan, GUAN Ruirui, LIU Ying<sup>*</sup>

2026,17(1):105-111, 153 | DOI:10.12015/issn.1674-8034.2026.01.015

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T1-weighted signal intensity changes in the dentate nucleus after multiple gadolinium-enhanced MRI: A clinical study

FU Nianxia<sup>1</sup>, WU Yingte<sup>2</sup>, SONG Jianxun<sup>1*</sup>, WANG Xin<sup>1</sup>, LIN Guohui<sup>1</sup>, ZHONG Liling<sup>1</sup>, YAN Yaoyao<sup>1</sup>

2026,17(1):112-117 | DOI:10.12015/issn.1674-8034.2026.01.016

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MRI diagnosis of atypical meningioma arising from the septum pellucidum: One case report

GAO Rong, WANG Haisheng, MA Long, SHI Daguo, LIU Hong<sup>*</sup>

2026,17(1):118-119 | DOI:10.12015/issn.1674-8034.2026.01.017

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Native T1 mapping value significantly prolongs cardiac fibroma: One case report

WEN Tao<sup>1,2,3</sup>, ZHANG Hui<sup>1,2,3</sup>, GAN Tiejun<sup>1,2,3</sup>, HU Wanjun<sup>1,2,3</sup>, LI Shilan<sup>1,2,3</sup>, ZHANG Jing<sup>1,2,3*</sup>

2026,17(1):120-122 | DOI:10.12015/issn.1674-8034.2026.01.018

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Advances in magnetic resonance imaging of fetal brain development

YANG Weixin<sup>1</sup>, WANG Rongpin<sup>2*</sup>

2026,17(1):123-127 | DOI:10.12015/issn.1674-8034.2026.01.019

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Research progress on multimodal structural-functional MRI studies of hierarchical large-scale brain network abnormalities in autism spectrum disorder

XU Yuanyuan, ZHANG Guomin, WU Guangrong, FANG Jie, XIONG Siyan, YANG Wei<sup>*</sup>

2026,17(1):128-133 | DOI:10.12015/issn.1674-8034.2026.01.020

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Research progress of magnetic resonance diffusion kurtosis imaging on the microstructure of white matter in patients with major depressive disorder

MAI Li<sup>1</sup>, LI Xiaozhong<sup>2*</sup>, WU Dongyang<sup>1</sup>, LI Yuning<sup>1</sup>

2026,17(1):134-139 | DOI:10.12015/issn.1674-8034.2026.01.021

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Research progress of abnormal gBOLD-CSF coupling in brain glymphatic system related central nervous system diseases

SU Jing, WANG Yi, AN Ningning, YANG Longfei, SU Qi, ZHANG Yutong, ZHANG Qing<sup>*</sup>

2026,17(1):140-145, 161 | DOI:10.12015/issn.1674-8034.2026.01.022

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Advances in imaging research on the correlation between cerebral small vessel disease-related white matter hyperintensities and cognitive impairment

YANG Jiayi, MAO Haixia, FANG Xiangming<sup>*</sup>

2026,17(1):146-153 | DOI:10.12015/issn.1674-8034.2026.01.023

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Research progress on magnetic resonance imaging of memory decline caused by cerebral small vessel disease

JIANG Yuxing, CHEN Li<sup>*</sup>

2026,17(1):154-161 | DOI:10.12015/issn.1674-8034.2026.01.024

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Advances in the application of diffusion tensor imaging combined with artificial intelligence in cerebral small vessel disease

ZHANG Chengwei, CUI Yong<sup>*</sup>

2026,17(1):162-167 | DOI:10.12015/issn.1674-8034.2026.01.025

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Research progress of convolutional neural network and vision transformer in gliomas

YANG Haohui<sup>1,2</sup>, XU Tao<sup>3</sup>, WANG Wei<sup>4</sup>, AN Liangliang<sup>5</sup>, AO Yongfang<sup>6</sup>, ZHU Jiabao<sup>2*</sup>

2026,17(1):168-174 | DOI:10.12015/issn.1674-8034.2026.01.026

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Research progress in multimodal MRI radiomics for predicting molecular typing of gliomas

TANG Yuanbiao, DI Ningning, XU Chang<sup>*</sup>

2026,17(1):175-181 | DOI:10.12015/issn.1674-8034.2026.01.027

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Advances in artificial intelligence for MRI of carotid artery vulnerable plaques​

ZHOU Jinglin<sup>1,2</sup>, LU Jie<sup>1,2*</sup>

2026,17(1):182-187 | DOI:10.12015/issn.1674-8034.2026.01.028

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Research progress in predicting axillary lymph node metastasis in breast cancer using dynamic contrast-enhanced magnetic resonance imaging-based radiomics

WANG Guoyu<sup>1,2</sup>, ZHANG Hui<sup>2*</sup>, LI Yi<sup>1,2</sup>

2026,17(1):188-192, 207 | DOI:10.12015/issn.1674-8034.2026.01.029

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Application Progress of MRI Histogram Analysis in Endometrial Cancer and Cervical Cancer

MA Shuangyan<sup>1,2</sup>, CHEN Yuhui<sup>2*</sup>, LI Lintang<sup>3</sup>, BI Qiu<sup>2</sup>, REN Lixiang<sup>2</sup>, GONG Zhimei<sup>2</sup>, LIU Hua<sup>1,2</sup>

2026,17(1):193-200 | DOI:10.12015/issn.1674-8034.2026.01.030

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The assessment method for skeletal muscle fat infiltration: quantitative magnetic resonance imaging

WANG Jing<sup>1,2</sup>, LI Junfei<sup>1</sup>, ZHAO Jian<sup>1*</sup>

2026,17(1):201-207 | DOI:10.12015/issn.1674-8034.2026.01.031

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Principles and clinical application advances of virtual magnetic resonance elastography based on DWI

SONG Xueliang<sup>1,2</sup>, CHEN Shujun<sup>1,2</sup>, DENG Ping<sup>1,2</sup>, XIONG Yuan<sup>1,2</sup>, LI Mei<sup>1</sup>, ZHANG Xiaoming<sup>1,2</sup>, LI Xinghui<sup>1,2*</sup>

2026,17(1):208-215, 227 | DOI:10.12015/issn.1674-8034.2026.01.032

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Progress in clinical applications of MRI based on electromagnetic metamaterials

LU Mengyu, ZHA Yunfei<sup>*</sup>

2026,17(1):216-221 | DOI:10.12015/issn.1674-8034.2026.01.033

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Advances in time-dependent diffusion MRI for noninvasive prediction of tumor molecular biomarkers

ZHAO Min<sup>1</sup>, LI Xuemeng<sup>2</sup>, WANG Aoyang<sup>1</sup>, LIU Mengxiao<sup>3</sup>, GAO Fei<sup>4*</sup>

2026,17(1):222-227 | DOI:10.12015/issn.1674-8034.2026.01.034

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Multinuclear magnetic resonance imaging in oncology: research progress

ZHOU Langping<sup>1,2</sup>, LI Tian<sup>2</sup>, CAO Ying<sup>1,2</sup>, WANG Xiaoxia<sup>2</sup>, ZHANG Jiuquan<sup>2*</sup>

2026,17(1):228-234 | DOI:10.12015/issn.1674-8034.2026.01.035

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