Focal therapy of prostate cancer: Use of artificial intelligence to define tumour volume and predict treatment outcomes by Wayne G. Brisbane, Alan M. Priester, Anissa V. Nguyen, Mark Topoozian, Sakina Mota, Merdie K. Delfin, Samantha Gonzalez, Kyla P. Grunden, Shannon Richardson, Shyam Natarajan, Leonard S. Marks

“…Subjects/patients and methods Subjects were 204 men with prostate cancer (PCa) of grade groups 2–4 (GG ≥ 2), who were enrolled in a trial of partial gland cryoablation (PGA) at UCLA from 2017 to 2022. Magnetic resonance imaging (MRI)‐guided biopsy (MRGB) was performed at diagnosis and at 6 and 18 months following PGA. …”
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Multimodal fusion model for diagnosing mild cognitive impairment in unilateral middle cerebral artery steno-occlusive disease by Ziyi Yuan, Zhaodi Huang, Chaojun Li, Shengrong Li, Qingguo Ren, Xiaona Xia, Qingjun Jiang, Daoqiang Zhang, Qi Zhu, Xiangshui Meng, Xiangshui Meng

“…ObjectivesTo propose a multimodal functional brain network (FBN) and structural brain network (SBN) topological feature fusion technique based on resting-state functional magnetic resonance imaging (rs-fMRI), diffusion tensor imaging (DTI), 3D-T1-weighted imaging (3D-T1WI), and demographic characteristics to diagnose mild cognitive impairment (MCI) in patients with unilateral middle cerebral artery (MCA) steno-occlusive disease.MethodsThe performances of different algorithms on the MCI dataset were evaluated using 5-fold cross-validation. …”
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En plaque meningioma of the temporal bone: A systematic review on the imaging and management of a rare tumor by Arianna Burato, Giuseppe Maruccio, Livio Presutti, Ignacio Javier Fernandez, Gabriele Molteni, Giulia Molinari

“…The main Computed Tomography (CT) findings were hyperostosis (76 %), hairy appearance of bony margins (16 %), involvement of the mastoid and middle ear (48 %). Magnetic Resonance Imaging (MRI) revealed dural enhancement (28 %), temporal hyperostosis (20 %), a clearly enhancing extra-axial mass (28 %), compression of the surrounding vasculo-nervous structures (8 %) and the possible involvement of the temporal lobe (8 %). …”
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Bell’s palsy misdiagnosis: characteristics of occult tumors causing facial paralysis by Eun-Jae Chung, Damir Matic, Kevin Fung, S. Danielle MacNeil, Anthony C. Nichols, Ruba Kiwan, KengYeow Tay, John Yoo

“…Four patients were proven to have skin cancers, 3 patients had parotid cancers, and 2 patients had facial nerve schwannomas as a final diagnosis. Initial magnetic resonance imaging (MRI) was performed in all 9 patients and 8 underwent a follow-up MRI. …”
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Brain anatomy differences in Chinese children who stutter: a preliminary study by Dan Ma, Dan Ma, Lingling Wang, Lingling Wang, Sai Liu, Sai Liu, XinMao Ma, XinMao Ma, Fenglin Jia, Fenglin Jia, Yimin Hua, Yimin Hua, Yi Liao, Yi Liao, Haibo Qu, Haibo Qu

“…The aim of this study was to investigate the changes in the structural morphology of the brain in Chinese children who stutter.MethodsA case–control study was conducted to collect magnetic resonance imaging data from stuttering and non-stuttering children, thereby analyzing whole-brain gray matter volume and cortical morphological changes in stuttering children.ResultsA total of 108 subjects were recruited (stuttering group: control group = 1:1). …”
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Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization by Luchen Chang, Jiamei Liu, Jialin Zhu, Shuyue Guo, Yao Wang, Zhiwei Zhou, Xi Wei

“…In radiomics, AI can analyze high-dimensional features from computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography/computed tomography (PET/CT) images to discover imaging biomarkers associated with tumor heterogeneity, treatment response, and disease progression, thereby enabling non-invasive, real-time assessments for personalized therapy. …”
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Growth of the prefrontal cortical glioblastoma altered cognitive and emotional behaviors via mediating miRNAs and GABA-A receptor signaling pathways in rats by Sepide Nateghi, Ameneh Rezayof, Fatemeh Kouhkan, Ladan Delphi, Yavar Bagheri Davisaraei, Fatemeh Rostami, Fatemeh Tirgar, Houri Sepehri

“…The implantation of C6 cells into the mPFC induced GBM in this brain region (referred to as the mPFC-GBM) in male Wistar rats via stereotaxic surgery, as confirmed by Magnetic Resonance Imaging (MRI), and Hematoxylin and Eosin (H&E) staining. …”
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The medial and lateral orbitofrontal cortex jointly represent the cognitive map of task space by Liwei Tan, Yidan Qiu, Lixin Qiu, Shuting Lin, Jinhui Li, Jiajun Liao, Yuting Zhang, Wei Zou, Ruiwang Huang

“…By performing a multi-step sequential task and multivariate analyses of functional magnetic resonance imaging (fMRI) data, we found that the mOFC and lOFC play complementary but dissociable roles in this process. …”
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Combined morphology and radiomics of intravoxel incoherent movement as a predictive model for the pathologic complete response before neoadjuvant chemotherapy in patients with brea... by Yunyan Zheng, Hui Zhang, Huijian Chen, Yang Song, Ping Lu, Mingping Ma, Mengbo Lin, Muzhen He

“…Radiomics and conventional magnetic resonance imaging features analysis were performed. …”
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Decidualized ovarian and rectouterine deep endometriosis disguised as malignancy in the second-trimester of pregnancy: A case report by Lingjie Bao, Ting Wang, Yinping Xiao, Shouxin Gu, Xiaoyu Zhou, Yunxi Zheng, Yun Chen, Xiaofang Yi

“…Serial nuclear magnetic resonance imaging (MRI) without contrast media for further evaluation indicated that these newly found pelvic masses were suspected to be ovarian endometrioid carcinoma with a metastasized lesion at rectouterine pouch. …”
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Self-reports map the landscape of task states derived from brain imaging by Brontë Mckeown, Ian Goodall-Halliwell, Raven Wallace, Louis Chitiz, Bridget Mulholland, Theodoros Karapanagiotidis, Samyogita Hardikar, Will Strawson, Adam Turnbull, Tamara Vanderwal, Nerissa Ho, Hao-Ting Wang, Ting Xu, Michael Milham, Xiuyi Wang, Meichao Zhang, Tirso RJ Gonzalez Alam, Reinder Vos de Wael, Boris Bernhardt, Daniel Margulies, Jeffrey Wammes, Elizabeth Jefferies, Robert Leech, Jonathan Smallwood

“…Over the last two decades, studies have shown that introspective descriptions of psychological states correlate with objective indicators of cognition, including task performance and metrics of brain function, using techniques like functional magnetic resonance imaging (fMRI). Such evidence suggests it may be possible to quantify the mapping between self-reports of experience and objective representations of those states (e.g., those inferred from measures of brain activity). …”
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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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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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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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