MRI动脉期强化模式预测肝内胆管细胞癌患者的预后 by 陈美成, 周小琦, 马瑞霞, 冯仕庭, 马玲

“…目的探讨术前 MRI增强扫描动脉期强化模式对肝内胆管细胞癌（ICC）无病生存时间（DFS）和术后总生存时间（OS）的预测价值。…”
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Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction by Yimeng Kang, Wenjing Li, Qingqing Lv, Qiuying Tao, Jieping Sun, Jinghan Dang, Xiaoyu Niu, Zijun Liu, Shujian Li, Zanxia Zhang, Kaiyu Wang, Baohong Wen, Jingliang Cheng, Yong Zhang, Weijian Wang

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Author Correction: An MRI Deep Brain Adult Template With An Advanced Atlas-Based Tool For Diffusion Tensor Imaging Analysis by Jean-Jacques Lemaire, Rémi Chaix, Aigerim Dautkulova, Anna Sontheimer, Jérôme Coste, Ana-Raquel Marques, Adrien Wohrer, Carine Chassain, Omar Ouachikh, Omar Ait-Aider, Denys Fontaine

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Systematic review of functional magnetic resonance imaging (fMRI) applications in the preoperative planning and treatment assessment of brain tumors by Hamad Yahia Abu Mhanna, Ahmad Fairuz Omar, Yasmin Md Radzi, Ammar A. Oglat, Hanan Fawaz Akhdar, Haytham Al Ewaidat, Abdallah Almahmoud, Abdel-Baset Bani Yaseen, Laith Al Badarneh, Omar Alhamad, Laith Alhamad

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Predictive Value of Preoperative Dynamic Contrast-Enhanced MRI Imaging Features in Breast Cancer Patients with Postoperative Recurrence Time by Zhangqiang Wu, Shaoli Gao, Yefeng Yao, Li Yi, Jianjun Wang, Fei Liu

“…The prognosis of early recurrence of breast cancer is worse. DCE-MRI can predict the time of postoperative recurrence and provide important clinical references.…”
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Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer by Zhichao Wang, Yan Hu, Jun Cai, Jinyuan Xie, Chao Li, Xiandong Wu, Jingjing Li, Haifeng Luo, Chuchu He

“…This study aimed to develop a novel hybrid radiomics approach integrating multiparametric magnetic resonance imaging (MRI), deep learning, and multichannel image analysis for predicting MSI and Ki-67 status. …”
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Impairments in Brain Perfusion, Metabolites, Functional Connectivity, and Cognition in Severe Asymptomatic Carotid Stenosis Patients: An Integrated MRI Study by Tao Wang, Feng Xiao, Guangyao Wu, Jian Fang, Zhenmeng Sun, Hongliang Feng, Junjian Zhang, Haibo Xu

“…By utilizing an integrated MRI including pulsed arterial spin labeling (pASL) MRI, Proton MR Spectroscopy (MRS), and resting-state functional MRI (R-fMRI), we also found that aCAS patients suffered decreased cerebral blood flow (CBF) mainly in the Left Frontal Gyrus and had decreased NAA/Cr ratio in the left hippocampus and decreased connectivity to the posterior cingulate cortex (PCC) in the anterior part of default mode network (DMN).…”
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MRI 在阿尔茨海默病与血管性痴呆中的鉴别价值 by 郭浩明, 郑伊能, 张丽娟, 龚贝贝, 郑婉琳, 吕发金

“…【目的】对比阿尔茨海默病（AD）和血管性痴呆（VaD）的脑区体积及脑白质高信号（WMH）差异，并探究 MRI 对 AD 与 VaD 的鉴别诊断价值。【方法】回顾性分析 35 例 VaD 和 74 例 AD 患者的临床资料和 MRI 影像资料。…”
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Autograft dilation after Ross procedure in children and young adults is mitigated by autograft reinforcement: A retrospective MRI study by Raphael Seiler, Robin Stenzel, Viktoria Weixler, Milena Muiznieks, Marina Gürtner, Felix Berger, Titus Kühne, Mi-Young Cho, Joachim Photiadis, Marcus Kelm, Peter Murin

Subjects: “…Cardiac MRI…”
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Improving fMRI-Based Autism Severity Identification via Brain Network Distance and Adaptive Label Distribution Learning by Junling Du, Shangyu Wang, Rentong Chen, Shaoping Wang

“…Nonetheless, owing to the ambiguity of ASD severity labels and individual differences in ASD severity, current fMRI-based methods for identifying ASD severity still do not achieve satisfactory performance. …”
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Multi-sequence MRI-based nomogram for prediction of human epidermal growth factor receptor 2 expression in breast cancer by Mengyi Shen, Li Zhang, Dingyi Zhang, Xin He, Nian Liu, Xiaohua Huang

“…Objective: To develop a nomogram based on multi-sequence MRI (msMRI) radiomics features and imaging characteristics for predicting human epidermal growth factor receptor 2 (HER2) expression in breast cancer (BC). …”
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Hippocampal connectivity dynamics and volumetric alterations predict cognitive status in migraine: A resting-state fMRI study by Seyda Cankaya, Behcet Ayyildiz, Dila Sayman, Umutcan Duran, Dogukan Ucak, Ramazan Karaca, Sevilay Ayyildiz, Ece Ozdemir Oktem, Hatice Lakadamyalı, Ceyhun Sayman, Ahmet Ozsimsek, Ali Yalçınkaya, Lutfu Hanoglu, Halil Aziz Velioglu, Burak Yulug

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Corrigendum to “A Case of In-Bore Transperineal MRI-Guided Prostate Biopsy of a Patient with Ileal Pouch-Anal Anastomosis” by Michael Kongnyuy, Thomas Frye, Arvin K. George, Amichai Kilchevsky, Amogh Iyer, Meet Kadakia, Akhil Muthigi, Baris Turkbey, Bradford J. Wood, Peter A. Pinto

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Whole-Body MRI and Ethnic Differences in Adipose Tissue and Skeletal Muscle Distribution in Overweight Black and White Adolescent Boys by SoJung Lee, YoonMyung Kim, Jennifer L. Kuk, Fernando E. Boada, Silva Arslanian

“…The study sample included overweight black (n=19) and white (n=21) boys (11–18 yr, BMI ≥ 85th) whose body composition was evaluated using whole-body MRI. Despite similar age, Tanner stage, and BMI, black boys had significantly (P<.05) less visceral AT than white boys and more (P<.05) total and lower-body subcutaneous AT (SAT) in both absolute (kg) and relative (%) terms. …”
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Ductal Carcinoma In Situ (DCIS) Diagnosed by MRI-Guided Biopsy among BRCA1/BRCA2 Mutation Carriers by Renata Faermann, Eitan Friedman, Orit Kaidar-Person, Jonathan Weidenfeld, Malka Brodsky, Anat Shalmon, Osnat Halshtok Neiman, Michael Gotlieb, Yael Yagil, David Samoocha, Dana Madorsky Feldman, Miri Sklair-Levy

“…All female BRCA1/BRCA2 PSV-carriers followed at the Meirav High-risk clinic from 2015 to 2020 were eligible if they underwent semiannual breast imaging (MRI/mammography) and MRI-guided biopsy-proven pure DCIS. …”
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Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification by Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, Igor Fortel, Liang Zhan, Alex Leow, Giuseppe Baselli

“…This work compares a novel DL model using structural connectivity (namely, BC-GCN-SE adapted from functional connectivity tasks) with an established model using structural magnetic resonance imaging (MRI) scans (namely, ResNet18). Unlike most studies primarily focusing on performance, our work places explainability at the forefront. …”
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What Radiologist Should Know about MRI Translational Forces and Hazard: An Ex-Vivo Simulation of Retained Metallic Shrapnel by Ali Kanj, Ibrahim Ghosn, Assaad Mohanna, Georges Rouhana

“…When a shrapnel’s hazard is of concern, the decision between performing or refusing a justified MRI exam is not always straightforward. In this small trial, we aimed to better understand the shrapnel’s MRI safety by mimicking our daily practice. …”
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Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural Networks by Trong-Thanh Han, Hinh Nguyen Van, Phat Nguyen Huu

“…Experimental results on the black and white MRI image set have shown that the model correctly predicted the parameters of the BM3D filter and removed the noise in the images of those MRI images. …”
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Tumor biomarkers contribute to the diagnosis and clinical management of the O-RADS MRI risk stratification system for epithelial ovarian tumors by Shengjie Xu, Weijian Gong, Xiyi Chen, Jiatong Wang, Yuan Zhu, Tao Zhang, Yun Gu, Jinxia Zheng, Juan Xu

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Combining interictal intracranial EEG and fMRI to compute a dynamic resting-state index for surgical outcome validation by Varina L. Boerwinkle, Kristin M. Gunnarsdottir, Bethany L. Sussman, Sarah N. Wyckoff, Emilio G. Cediel, Belfin Robinson, William R. Reuther, Aryan Kodali, Sridevi V. Sarma

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