Multimodal MRI analysis of microstructural and functional connectivity brain changes following systematic audio-visual training in a virtual environment by Kholoud Alwashmi, Fiona Rowe, Georg Meyer

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A Rare Case of Near Complete Regression of a Large Cervical Disc Herniation without Any Intervention Demonstrated on MRI by Parag Suresh Mahajan, Nawal M. Al Moosawi, Islam Ali Hasan

“…There are very few reported cases of regression of large cervical disc herniation without any intervention—the so-called spontaneous regression, demonstrated using MRI. We report a rare and interesting case of MRI that demonstrated near complete regression of a large herniated cervical intervertebral disc, without any surgical treatment.…”
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Development and routine implementation of deep learning algorithm for automatic brain metastases segmentation on MRI for RANO-BM criteria follow-up by Loïse Dessoude, Raphaëlle Lemaire, Romain Andres, Thomas Leleu, Alexandre G. Leclercq, Alexis Desmonts, Typhaine Corroller, Amirath Fara Orou-Guidou, Luca Laduree, Loic Le Henaff, Joëlle Lacroix, Alexis Lechervy, Dinu Stefan, Aurélien Corroyer-Dulmont

“…Materials (patients) and methods: A total of 27,456 post-Gadolinium-T1 MRI from 132 patients with BM were employed in this study. …”
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Staging of Primary Abdominal Lymphomas: Comparison of Whole-Body MRI with Diffusion-Weighted Imaging and 18F-FDG-PET/CT by Alessandro Stecco, Francesco Buemi, Martina Quagliozzi, Mariangela Lombardi, Alberto Santagostino, Gian Mauro Sacchetti, Alessandro Carriero

“…The purpose of this study was to compare the accuracy of whole-body MRI with diffusion-weighted sequences (WB-DW-MRI) with that of 18F-FDG-PET/CT in the staging of patients with primary gastrointestinal lymphoma. …”
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Enhanced Brain Tumor MRI Classification Using Stationary Wavelet Transform, ResNet50V2, and LSTM Networks by Oussama Abda, Hilal NAIMI

“…The preprocessing includes Stationary Wavelet Transform (SWT) intended to enhance tumor-relevant features and resizing to standard MRI image dimensions; feature extraction includes. …”
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Functional Connectivity Alterations Associated with COVID-19-Related Sleep Problems: A Longitudinal Resting-State fMRI Study by Chen HB, Li L, Sun YK, Liu Y, Chen W, Liu P, Liao YH, Xie A

“…These changes may partially explain the development of SP, and they also changed over time.Keywords: COVID-19, SP, rs-fMRI, FC…”
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结构性MRI测量对脊髓小脑共济失调3型的诊断价值 by 曾文婷, 赵静, 胡曼诗, 丘海珊, 吴超, 初建平

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Experiences of ‘traditional’ and ‘one-stop’ MRI-based prostate cancer diagnostic pathways in England: a qualitative study with patients and GPs by Fiona M Walter, Stephanie Archer, Willie Hamilton, Samuel William David Merriel, John McGrath, Alice S Forster, Hashim Uddin Ahmed, David Eldred-Evans

“…Patients valued ‘one-stop’ pathways integrating prostate MRI and diagnostic consultations with specialists over the more traditional approach of several hospital appointments. …”
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Dynamic alterations in spontaneous neural activity in patients with attention-deficit/hyperactivity disorder: A resting-state fMRI study by Rui Hu, Wei Du, Fan Tan, Yong Wu, Chun Yang, Weiwei Wang, Wen Chen, Yanwei Miao

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Differentiation between multiple sclerosis and neuromyelitis optic spectrum disorders with multilevel fMRI features: A machine learning analysis by Xiao Liang, Qingwen Zeng, Yanyan Zhu, Yao Wang, Ting He, Lin Wu, Muhua Huang, Fuqing Zhou

“…Abstract The conventional statistical approach for analyzing resting state functional MRI (rs-fMRI) data struggles to accurately distinguish between patients with multiple sclerosis (MS) and those with neuromyelitis optic spectrum disorders (NMOSD), highlighting the need for improved diagnostic efficacy. …”
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Effect of adipose tissue deposition on insulin resistance in middle‐aged and elderly women: Based on QCT and MRI mDIXON‐Quant by Ying Liu, Lei Gao, Mengfei Wu, Boyang Yang, Dongxue Ren, Zekun Zhang, Wei Zhang, Yan Wang

“…Objective To explore the relationship between adipose tissue deposition and triglyceride‐glucose (TyG) index, an indicator clinically used to assess insulin resistance (IR), in middle‐aged and elderly women using quantitative computed tomography (QCT) and MRI mDIXON‐Quant sequence. Methods All participants underwent quantitative computed tomography (QCT) and MRI mDIXON‐Quant examination and calculated the TyG index based on the fasting blood glucose and triacylglycerol. …”
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Comparison of [68Ga]Ga-DOTA-FAPI-04 and [18F]FDG PET/MRI in the Preoperative Diagnosis of Gastric Cancer by Tao Du, Shun Zhang, Xi-Mao Cui, Ren-Hao Hu, Hai-Yan Wang, Jian-Juan Jiang, Jun Zhao, Lan Zhong, Xiao-Hua Jiang

“…Our objective was to compare the value of positron emission tomography/magnetic resonance imaging (PET/MRI) with the new imaging agent [68Ga]Ga-DOTA-FAPI-04 and the traditional imaging agent [18F]FDG for the preoperative diagnosis of gastric cancer. …”
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MRI of the cervical nerve roots in the diagnosis of chronic inflammatory demyelinating polyradiculoneuropathy: a single-institution, retrospective case–control study by Toshihiko Suenaga, Kanta Tanaka, Nobuyuki Mori, Yusuke Yokota

“…Objective To systematically evaluate the usefulness of assessing the cervical nerve roots by MRI for the diagnosis of chronic inflammatory demyelinating polyradiculoneuropathy (CIDP).Design Single-institution, retrospective case–control study.Setting A regional referral hospital.Participants We retrospectively enrolled 15 consecutive patients with CIDP who satisfied the European Federation of Neurological Societies/Peripheral Nerve Society (EFNS/PNS) typical and definite criteria and underwent cervical MRI. 30 control patients who had also undergone cervical MRI were included, matched with regard to sex, age and MRI system. …”
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Adhesions to Mesh after Ventral Hernia Mesh Repair Are Detected by MRI but Are Not a Cause of Long Term Chronic Abdominal Pain by Odd Langbach, Stein Harald Holmedal, Ole Jacob Grandal, Ola Røkke

“…The aim of the present study was to perform MRI in patients after ventral hernia mesh repair, in order to evaluate MRI’s ability to detect intra-abdominal adhesions. …”
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Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRI by Kangwa Alex Nkonde, Kangwa Alex Nkonde, Sai Man Cheung, Nicholas Senn, Jiabao He

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Intratumoral and peritumoral radiomics of MRI predicts pathologic complete response to neoadjuvant chemoimmunotherapy in patients with head and neck squamous cell carcinoma by Jie Sun, Bin Zhang, Shuixing Zhang, Xuewei Wu, Ruhang Ma

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Evaluation of Metabolic Characteristics of Brain Tumours Utilising 31-Phosphorus MR Spectroscopy in 3T MRI: A Cross-sectional Study by Nivetha Kannan, Babu Peter Sathyanathan

“…Introduction: The characterisation of brain tumours is predominantly based on Magnetic Resonance Imaging (MRI) for structural details and invasive histopathology for certainty. …”
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Segmentation of Myocardial Boundaries in Tagged Cardiac MRI Using Active Contours: A Gradient-Based Approach Integrating Texture Analysis by Aymeric Histace, Bogdan Matuszewski, Yan Zhang

“…Among all medical scanners only a few enables radiologists to evaluate the local cardiac motion. Tagged cardiac MRI is one of them. This protocol generates on Short-Axis (SA) sequences a dark grid which is deformed in accordance with the cardiac motion. …”
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A clinical study exploring the prediction of microvascular invasion in hepatocellular carcinoma through the use of combined enhanced CT and MRI radiomics. by Jiangfa Li, Wenxiang Song, Jixue Li, Lv Cai, Zhao Jiang, Mengxiao Wei, Boming Nong, Meiyu Lai, Yiyi Jiang, Erbo Zhao, Liping Lei

“…The optimal radiomics features of CT and MRI were selected to establish the prediction model. …”
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Deep learning reconstruction of zero-echo time sequences to improve visualization of osseous structures and associated pathologies in MRI of cervical spine by Malwina Kaniewska, Fabio Zecca, Carina Obermüller, Falko Ensle, Eva Deininger-Czermak, Maelene Lohezic, Roman Guggenberger

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