Quinazolinone Derivative MR2938 Protects DSS-Induced Barrier Dysfunction in Mice Through Regulating Gut Microbiota by Ling Lv, Mireguli Maimaitiming, Jichen Yang, Shuli Xia, Xin Li, Pingyuan Wang, Zhiqing Liu, Chang-Yun Wang

“…Herein, we aimed to investigate the impact of MR2938 on the gut microbiota in dextran sodium sulfate (DSS)-induced colitis in mice and to elucidate the role of the gut microbiota in the therapeutic mechanism of MR2938 for alleviating colitis. …”
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Treatment time and learning curve analysis of 1.5 T MR-Linac workflows led by radiation oncologists or therapists by J.M. Westerhoff, F.J. Raaijmakers, L.A. Daamen, E.N. de Groot-van Breugel, L.T.C. Meijers, J.R.N. van der Voort van Zyp, J.J.C. Verhoeff, S. Mook, H.M. Verkooijen, M.P.W. Intven

“…Materials and methods: This study was conducted utilizing the prospective Multi-OutcoMe EvaluatioN of radiation Therapy Using the MR-Linac study (MOMENTUM, NCT04075305). Mean (±standard deviation) online adaptation time and total treatment time were collected from MR-Linac log files. …”
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Postoperative MR Defecography following Failed STARR Procedure for Obstructive Defecation Syndrome: A Three-Centre Experience by Vittorio Piloni, Marco Possanzini, Mattia Bergamasco, Gianluca Santi

“…To describe the abnormalities at MR imaging and related complaints in patients with poor outcome after STARR procedure. …”
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DTI and MR Volumetry of Hippocampus-PC/PCC Circuit: In Search of Early Micro- and Macrostructural Signs of Alzheimers's Disease by F. Palesi, P. Vitali, P. Chiarati, G. Castellazzi, E. Caverzasi, A. Pichiecchio, E. Colli-Tibaldi, F. D'Amore, I. D'Errico, E. Sinforiani, S. Bastianello

“…Hippocampal damage, by DTI or MR volumetry, and PET hypoperfusion of precuneus/posterior cingulate cortex (PC/PCC) were proposed as biomarkers of conversion from preclinical (MCI) to clinical stage of Alzheimer's disease (AD). …”
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Effect of Laminar Cooling Mode on Transverse Properties Uniformity of MR T-2.5 Hot Rolled Strip Steel by Guanhua LIU, Jianhui LI, Long GUO, Biao LONG, Bingquan AI

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Synthetic Computed Tomography generation using deep-learning for female pelvic radiotherapy planning by Rachael Tulip, Sebastian Andersson, Robert Chuter, Spyros Manolopoulos

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Bile Duct Strictures Caused by Solid Masses: MR in Differential Diagnosis and as a Prognostic Tool to Plan the Endoscopic Treatment by Tomasz Gorycki, Michał Studniarek

“…Retrospective study of MR and MRCP images in 80 patients (mean age 58 ys) was conducted. …”
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A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer by Yin Li, Yin Li, Yin Li, Shuang Li, Shuang Li, Ruolin Xiao, Ruolin Xiao, Xi Li, Yongju Yi, Yongju Yi, Liangyou Zhang, Liangyou Zhang, You Zhou, You Zhou, Yun Wan, Chenhua Wei, Liming Zhong, Liming Zhong, Wei Yang, Wei Yang, Lin Yao, Lin Yao, Lin Yao

“…While artificial intelligence (AI) methods have been successful in detecting liver and lymph node metastases using magnetic resonance (MR) images, research on lung metastases is still limited. …”
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A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images by Varun Srivastava, Ravindra Kumar Purwar

“…The dataset used for comparison consisted of CT Scan images of lungs and MR images of heart as obtained from different sources.…”
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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

“…Proton (H+) MR spectroscopy has gained unanimous acceptance as a neuroimaging technique. …”
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A deep learning approach for automatic 3D segmentation of hip cartilage and labrum from direct hip MR arthrography by Malin Kristin Meier, Ramon Andreas Helfenstein, Adam Boschung, Andreas Nanavati, Adrian Ruckli, Till D. Lerch, Nicolas Gerber, Bernd Jung, Onur Afacan, Moritz Tannast, Klaus A. Siebenrock, Simon D Steppacher, Florian Schmaranzer

“…In this retrospective single-center study, CNNs with a U-Net architecture were used to develop a fully automated segmentation model for hip cartilage and labrum from MRI. Direct hip MR arthrographies (01/2020-10/2021) were selected from 100 symptomatic patients. …”
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How to protect the proximal bronchial tree during stereotactic radiotherapy of ultracentral lung tumors: Lessons from MR-guided treatment by Sebastian Regnery, Efthimios Katsigiannopulos, Hin Lau, Philipp Hoegen-Saßmannshausen, Fabian Weykamp, Claudia Katharina Renkamp, Carolin Rippke, Fabian Schlüter, Sophia Albert, Jan Meis, Marietta Kirchner, Alexandra Balzer, Nicolaus Andratschke, Matthias Guckenberger, Jürgen Debus, Sebastian Klüter, Juliane Hörner-Rieber

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Topographical mapping of metabolic abnormalities in multiple sclerosis using rapid echo-less 3D-MR spectroscopic imaging at 7T by Eva Niess, Assunta Dal-Bianco, Bernhard Strasser, Fabian Niess, Lukas Hingerl, Beata Bachrata, Stanislav Motyka, Paulus Rommer, Siegfried Trattnig, Wolfgang Bogner

“…Objectives: To assess topographical patterns of metabolic abnormalities in the cerebrum of multiple sclerosis (MS) patients and their relationship to clinical disability using rapid echo-less 3D-MR spectroscopic imaging (MRSI) at 7T. Materials and Methods: This study included 26 MS patients (13 women; median age 34) and 13 age- and sex-matched healthy controls (7 women; median age 33). …”
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Systematic Review of Focal Prostate Brachytherapy and the Future Implementation of Image-Guided Prostate HDR Brachytherapy Using MR-Ultrasound Fusion by M. Sean Peach, Daniel M. Trifiletti, Bruce Libby

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Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography: A Numerical Investigation by Sabrina Zumbo, Stefano Mandija, Ettore F. Meliado, Peter Stijnman, Thierry G. Meerbothe, Cornelis A.T. van den Berg, Tommaso Isernia, Martina T. Bevacqua

“…Magnetic Resonance imaging based Electrical Properties Tomography (MR-EPT) is a non-invasive technique that measures the electrical properties (EPs) of biological tissues. …”
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A joint three-plane physics-constrained deep learning based polynomial fitting approach for MR electrical properties tomography by Kyu-Jin Jung, Thierry G. Meerbothe, Chuanjiang Cui, Mina Park, Cornelis A.T. van den Berg, Stefano Mandija, Dong-Hyun Kim

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Mapping the landscape and research trend of imaging diagnosis in lymphoma: a bibliometric analysis from 1976 to 2024 by Yi Ma

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Exploring the Impact of Systemic Inflammatory Regulators on Rosacea Risk: A Bidirectional Mendelian Randomization Analysis by Xue Q, Pan JP, Qian D, Ji J, Fei LY, Yao S, Tan X, Fan WG

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Enhanced preoperative prediction of breast lesion pathology, prognostic biomarkers, and molecular subtypes using multiple models diffusion-weighted MR imaging by Litong He, Feng Li, Yanjin Qin, Yuling Li, Qilan Hu, Zhiqiang Liu, Yunfei Zhang, Tao Ai

“…We retrospectively analyzed 132 patients with pathologically verified breast lesions (41 benign and 91 malignant) who underwent a full protocol preoperative breast MRI protocol, including a diffusion-weighted imaging (DWI) sequence with nine b values (0 to 2000 s/mm2) on a 3.0T MR scanner. The diffusion parameters from each model—Mono (ADC), IVIM (D, D*, f), DKI (MD, MK), SEM (DDC, α) and CTRW (Dm, α, β)—were quantitatively calculated and compared between benign and malignant breast lesions, as well as across different prognostic biomarker statuses in breast cancer, using Mann–Whitney U-tests. …”
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White Matter Atrophy in Patients with Mesial Temporal Lobe Epilepsy: Voxel-Based Morphometry Analysis of T1- and T2-Weighted MR Images by Barbara Braga, Clarissa L. Yasuda, Fernando Cendes

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