Successful Multimodal Management of an Aggressive Functional Gonadotropic Pituitary Macroadenoma by Jeffrey J. Feng, MS, Sophie M. Cannon, MD, Stephanie K. Cheok, MD, Mark S. Shiroishi, MD, Kyle M. Hurth, MD, PhD, Anna J. Mathew, MD, Gabriel Zada, MD, John D. Carmichael, MD

“…Case Report: A 54-year-old man presented with gradually worsening vision over 1 year. Magnetic resonance imaging demonstrated a 5.2-cm sellar and suprasellar mass with cavernous sinus invasion, mass effect on the optic chiasm, and extension into the sphenoid sinus, nasal cavity, and clivus. …”
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A prospective randomized controlled trial comparing biphasic cartilage repair implant with microfracture in small chondral lesions of knee: findings at five-year-follow-up by Yao-Yi Kuo, Si-Qi Chiu, Wen-Pei Chang, Chih-Yu Chen, Chih-Hwa Chen, Chen-Kun Liaw, Cheng-Aun Tan, Pei-Wei Weng

“…Primary outcome measures included the International Knee Documentation Committee (IKDC) score, Knee Injury and Osteoarthritis Outcome Score (KOOS), Visual Analog Scale (VAS) score, Magnetic Resonance Imaging (MRI) measured cartilage thickness, and the Magnetic Resonance Observation of Cartilage Repair Tissue (MOCART) score. …”
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Predicting Axillary Lymph Node Metastasis in Young Onset Breast Cancer: A Clinical-Radiomics Nomogram Based on DCE-MRI by Dong X, Meng J, Xing J, Jia S, Li X, Wu S

“…Precisely forecasting axillary lymph node metastasis (ALNM) is essential for customizing treatment plans and enhancing patient results.Objective: This research sought to create and verify a clinical-radiomics nomogram that combines radiomic features from Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) with standard clinical predictors to improve the accuracy of predicting ALNM in young breast cancer patients.Methods: We performed a retrospective analysis at one facility, involving the creation and validation of a nomogram in two stages.At first, a medical model was developed utilizing conventional indicators like tumor dimensions, molecular classifications, multifocal presence, and MRI-determined ALN status.A more detailed clinical-radiomics model was subsequently developed by integrating radiomic characteristics derived from DCE-MRI images.These models were created using logistic regression analyses on a training dataset, and their effectiveness was assessed by measuring the area under the receiver operating characteristic curve (AUC) in a separate validation dataset.Results: The clinical-radiomics nomogram surpassed the clinical-only model, recording an AUC of 0.892 in the training dataset and 0.877 in the validation dataset.Significant predictors included MRI-reported ALN status and select radiomic features, which markedly enhanced the model’s predictive capacity.Conclusion: Integrating radiomic features with clinical predictors in a nomogram significantly improves ALNM prediction in young onset breast cancer, providing a valuable tool for personalized treatment planning. …”
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Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

“…We assess our approach on a dataset of medical images, including magnetic resonance imaging scans, and find that the FL model performs noticeably better (F1 Score = 0.968, Sensitivity = 0.977, Specificity = 0.945, and AUC = 0.950). …”
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Correlations among lymphocyte count, white matter hyperintensity and brain atrophy in patients with ischemic stroke by Chenchen Liu, Dai Shi, Xiaoqiong Ni, Shoujiang You, Shoujiang You, Xiaofen Wu, Sheng Zhuang, Sheng Zhuang, Wu Cai, Liang Xu, Liang Xu

“…We aimed to explore the association between lymphocyte count, a maker of inflammation, and WMH and brain atrophy in patients with acute ischemic stroke (AIS).MethodsA total of 727 AIS patients with lymphocyte count and brain magnetic resonance imaging data were enrolled. Participants were divided into four groups according to the quartiles of baseline lymphocyte counts. …”
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Impact of perineural tumor spread in head and neck adenoid cystic carcinoma for carbon-ion radiotherapy by Atsushi Musha, Nobuteru Kubo, Hidemasa Kawamura, Naoko Okano, Masahiro Onishi, Takeru Ohtaka, Midori Tamura, Osamu Nikkuni, Yuichi Tomidokoro, Satoshi Yokoo, Kazuaki Chikamatsu, Tatsuya Ohno

“…PNTS was evaluated by magnetic resonance imaging for detecting extratumoral extension to peritumoral nerves. …”
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Cardiac resynchronization therapy via left bundle branch pacing in heart failure with complete left bundle branch block: is the defibrillator needed? by Dandan Yang, Dandan Yang, Qunchao Ma, Qunchao Ma, Hong Zhu, Lihua Wang, Meixiang Xiang, Meixiang Xiang, Jian’an Wang, Jian’an Wang, Jian’an Wang, Jian’an Wang, Xiaohong Pan, Xiaohong Pan

“…Patients with ischemic cardiomyopathy, left ventricular noncompaction, significant late gadolinium enhancement (LGE) on cardiac magnetic resonance imaging (CMR), and indications for an implantable cardioverter-defibrillator (ICD) as secondary prevention were excluded.ResultsPost-LBBP, the LVEF improved from 31.1 ± 4.0% to 61.0 ± 6.0% (P < 0.001). …”
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Anterior Controllable Antedisplacement and Fusion (ACAF) for Cervical Stenosis Patients With Hyperextension Injury: A Retrospective Study by Shuangxi Sun, Yingying Miao, Tao Xu, Kaiqiang Sun, Yijuan Lu, Jingchuan Sun, Jiuyi Sun, Jiangang Shi

“…All patients underwent x‐ray, computed tomography (CT), and magnetic resonance imaging (MRI) before and after surgery. The duration of follow‐up was at least 12 months. …”
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Stimulation of DC-CIK with PADI4 Protein Can Significantly Elevate the Therapeutic Efficiency in Esophageal Cancer by Chunyan Liu, Yingying Zheng, Junyi Tang, Dawei Wang, Zhenshen Ma, Shutong Li, Xiaotian Chang

“…The tumor growth was measured with magnetic resonance imaging (MRI). Results. Following incubation with lysate from PADI4-overexpressing cells, the ratio of CD40+ DCs increased by 17.5%. …”
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Laparoscopic Resection of an Intra-Abdominal Esophageal Duplication Cyst: A Case Report and Literature Review by Ikuo Watanobe, Yuzuru Ito, Eigo Akimoto, Yuuki Sekine, Yurie Haruyama, Kota Amemiya, Fumihiro Kawano, Shohei Fujita, Satoshi Omori, Shozo Miyano, Taijiro Kosaka, Michio Machida, Toshiaki Kitabatake, Kuniaki Kojima, Asumi Sakaguchi, Kanako Ogura, Toshiharu Matsumoto

“…A 50-year-old man underwent gastroscopy, endoscopic ultrasonography, computed tomography, and magnetic resonance imaging to investigate epigastric pain and dysphagia that started 3 months earlier. …”
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UTE MRI technical developments and applications in osteoporosis: a review by Soo Hyun Shin, Hee Dong Chae, Hee Dong Chae, Arya Suprana, Arya Suprana, Saeed Jerban, Eric Y. Chang, Eric Y. Chang, Lingyan Shi, Robert L. Sah, Jeremy H. Pettus, Gina N. Woods, Jiang Du, Jiang Du, Jiang Du

“…Accurate evaluation of bone requires information about its components (mineral, collagen, water) and structure (cortical porosity, trabecular microstructure), which are all important in maintaining the mechanical integrity of bone. Magnetic resonance imaging (MRI) is routinely used to diagnose soft tissue diseases, but bone is “invisible” with clinical MRI due to its short transverse relaxation time. …”
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A double dissociation between semantic and spatial cognition in visual to default network pathways by Tirso RJ Gonzalez Alam, Katya Krieger-Redwood, Dominika Varga, Zhiyao Gao, Aidan J Horner, Tom Hartley, Michel Thiebaut de Schotten, Magdalena Sliwinska, David Pitcher, Daniel S Margulies, Jonathan Smallwood, Elizabeth Jefferies

“…Later, they made semantic and spatial context decisions about these objects and buildings during functional magnetic resonance imaging. A lateral ventral occipital to fronto-temporal DMN pathway was primarily engaged by semantic judgements, while a medial visual to medial temporal DMN pathway supported spatial context judgements. …”
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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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Long-term effects of linear versus macrocyclic GBCAs on gene expression in the central nervous system of mice by Chuanbing Wang, Yuxia Tang, Jiajia Tang, Jie Zhang, Siqi Wang, Feiyun Wu, Shouju Wang

“…Assessments included magnetic resonance imaging (MRI), mechanical hyperalgesia tests, and inductively coupled plasma mass spectrometry to measure gadolinium levels. …”
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Insulin Resistance Increases MRI-Estimated Pancreatic Fat in Nonalcoholic Fatty Liver Disease and Normal Controls by Niraj S. Patel, Michael R. Peterson, Grace Y. Lin, Ariel Feldstein, Bernd Schnabl, Ricki Bettencourt, Ekihiro Seki, Claude B. Sirlin, Rohit Loomba

“…Using a novel magnetic resonance imaging (MRI) based biomarker, the proton-density-fat-fraction (MRI-PDFF), we compared pancreatic fat content in patients with biopsy-proven NAFLD to healthy controls and determined whether it is associated with insulin resistance and liver fat content. …”
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Secondary vs. primary pituitary xanthogranulomas: which yellow is more mellow? by Dragana Miljic, Sandra Pekic, Mirjana Doknic, Marko Stojanovic, Sasa Ilic, Marina Nikolic Djurovic, Zvezdana Jemuovic, Toplica Milojevic, Mihailo Milicevic, Marija Jovanovic, Milica Medic Stojanoska, Bojana Carić, Nevena Radic, Sanja Medenica, Emilija Manojlovic Gacic, Milan Petakov

“…Majority of lesions were solid on magnetic resonance imaging - MRI (81.25%). Distinct clinical phenotype was observed dependent on the etiology of XG.…”
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Silent cerebral lesions after catheter ablation for atrial fibrillation using cryoballoon, hotballoon, laserballoon and radiofrequency catheters: a Bayesian network meta-analysis by Tiantian Zheng, Youjin Kong, Li Wu, Chenxia Wu, Chenxia Wu, Wei Mao, Wei Mao, Xinbin Zhou, Xinbin Zhou

“…Previous studies have reported silent cerebral lesions (SCLs) detected by magnetic resonance imaging (MRI) after different CA techniques; however, the results were controversial. …”
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Can ChatGPT4-vision identify radiologic progression of multiple sclerosis on brain MRI? by Brendan S. Kelly, Sophie Duignan, Prateek Mathur, Henry Dillon, Edward H. Lee, Kristen W. Yeom, Pearse A. Keane, Aonghus Lawlor, Ronan P. Killeen

“…We aimed to compare the performance of GPT4V to pretrained U-Net and vision transformer (ViT) models for the identification of the progression of multiple sclerosis (MS) on magnetic resonance imaging (MRI). Methods Paired coregistered MR images with and without progression were provided as input to ChatGPT4V in a zero-shot experiment to identify radiologic progression. …”
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Alterations of interhemispheric functional connectivity in patients with hypertensive retinopathy using voxel-mirrored homotopic connectivity: a resting state fMRI study by Xue-Lin Wang, Yu Chen, Jin-Yu Hu, Hong Wei, Qian Ling, Liang-Qi He, Cheng Chen, Yi-Xin Wang, Yan-Mei Zeng, Xiao-Yu Wang, Qian-Min Ge, Xu Chen, Yi Shao

“…AIM: To analyze whether alterations of voxel mirror homology connectivity (VMHC) values, as determined by resting-state functional magnetic resonance imaging (rs-fMRI), occur in cerebral regions of patients with hypertensive retinopathy (HR) and to determine the relationship between VMHC values and clinical characteristics in patients with HR. …”
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Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma by Abdul Basit Ahanger, Syed Wajid Aalam, Tariq Ahmad Masoodi, Asma Shah, Meraj Alam Khan, Ajaz A. Bhat, Assif Assad, Muzafar Ahmad Macha, Muzafar Rasool Bhat

“…Advanced imaging techniques, particularly magnetic resonance imaging (MRI), are crucial in assessing GBM. …”
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