Osteoarthritis-related knee pain: MRI-guided focused ultrasound ablation treatment by Christin A. Tiegs-Heiden, Zaiyang Long, Aiming Lu, Krzysztof R. Gorny, Gina K. Hesley

“…MRgFUS ablation treatment was performed to the lateral knee, targeting the periosteum in the patients’ area of pain.Results: Following treatment, the patient experienced considerable reduction in his activity limiting symptoms with a duration of at least 6 months.Conclusions: It is important for radiologists to be aware of MRgFUS as an innovative ablation modality. …”
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Do Not Miss the Tumor: A Novel Presentation of Osteosarcoma by Michael DePalma, Sachin Gupta, Jie Nguyen, Divya Talwar, Alexandre Arkader, Lawrence Wells

“…Finally, direct communication and discussion between radiologists and referring clinicians helps decrease delays in diagnosing of osteosarcoma and other life-threatening conditions.…”
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Surveillance of HCC Patients after Liver RFA: Role of MRI with Hepatospecific Contrast versus Three-Phase CT Scan—Experience of High Volume Oncologic Institute by Vincenza Granata, Mario Petrillo, Roberta Fusco, Sergio Venanzio Setola, Elisabetta de Lutio di Castelguidone, Orlando Catalano, Mauro Piccirillo, Vittorio Albino, Francesco Izzo, Antonella Petrillo

“…The images were reviewed by four different radiologists to evaluate tumor necrosis, residual or recurrence disease, and evidence of new foci. …”
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Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection by Qingming Ye, Zhilu Wang, Yi Lou, Yang Yang, Jue Hou, Zheng Liu, Weiguang Liu, Jiayu Li

“…On an independent test set, the proposed model achieves an accuracy of 90.5%, with 89% sensitivity, 92% specificity, and an F1 score of 0.906—outperforming the diagnostic accuracy of emergency medicine physicians and approaching that of pediatric radiologists. Furthermore, the model demonstrates a fast inference speed of 1.1 seconds per sheet, underscoring its substantial potential for clinical application. …”
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A Deep Learning Approach to Classify Fabry Cardiomyopathy from Hypertrophic Cardiomyopathy Using Cine Imaging on Cardiac Magnetic Resonance by Wei-Wen Chen, Ling Kuo, Yi-Xun Lin, Wen-Chung Yu, Chien-Chao Tseng, Yenn-Jiang Lin, Ching-Chun Huang, Shih-Lin Chang, Jacky Chung-Hao Wu, Chun-Ku Chen, Ching-Yao Weng, Siwa Chan, Wei-Wen Lin, Yu-Cheng Hsieh, Ming-Chih Lin, Yun-Ching Fu, Tsung Chen, Shih-Ann Chen, Henry Horng-Shing Lu

“…The reliance on imaging techniques often requires the expertise of multiple specialists, including cardiologists, radiologists, and geneticists. This variability in the interpretation and classification of LVH leads to inconsistent diagnoses. …”
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ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs by Saravana Kumar Ganesan, Parthasarathy Velusamy, Santhosh Rajendran, Ranjithkumar Sakthivel, Manikandan Bose, Baskaran Stephen Inbaraj

“…However, the shortage of radiologists in the Least Developed Countries (LDCs) emphasizes the need for automated pneumonia diagnostic systems. …”
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RED-Net: A Neural Network for 3D Thyroid Segmentation in Chest CT Using Residual and Dilated Convolutions for Measuring Thyroid Volume by Min-Ji Kim, Jin-A Kim, Naae Kim, Yul Hwangbo, Hyun Jeong Jeon, Dong-Hwa Lee, Ji Eun Oh

“…Unlike the lungs or the heart, the thyroid gland is not a primary target in chest computed tomography (CT) scans and is relatively small; hence, it is difficult for radiologists to always clinically delineate it in chest CT to incidentally detect a goiter. …”
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Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images by Shadman Q. Salih, Hawre Kh. Abdulla, Zanear Sh. Ahmed, Nigar M. Shafiq Surameery, Rasper Dh. Rashid

“…In the last decade, medical imaging techniques show its efficiency in helping radiologists to detect and diagnose the diseases. Deep learning and transfer learning algorithms are good techniques to detect disease from different image source types such as X-Ray and CT scan images. …”
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Evaluation of a Surgical Navigation System for Localization and Excision of Nonpalpable Lesions in Breast and Axillary Surgery by Kjirsten A. Carlson, Cristina Checka, Kelly K. Hunt, Jennifer Jung, Christian Bridges, Puneet Singh, Ana Refinetti, Tanya Moseley, Frances Perez, Cody Mayo, Nina Tamirisa

“…SmartClips were placed by designated radiologists using ultrasound (US) or mammographic (MMG) guidance. …”
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Cross-Platform Analysis of Mammography Narratives: A Comparative Study on Social Media Engagement by Thomas Stirrat, Jonathan Garner, Parth Tailor, Daniel Weitz, Muhammad Umair, Yusuf T. Akpolat

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Forecasting the Applied Deep Learning Tools in Enhancing Food Quality for Heart Related Diseases Effectively: A Study Using Structural Equation Model Analysis by Sunil L. Bangare, Deepali Virmani, Girija Rani Karetla, Pankaj Chaudhary, Harveen Kaur, Syed Nisar Hussain Bukhari, Shahajan Miah

“…The application of new technologies like machine learning, deep learning, and other models support doctors, nurses, and radiologists to predict heart disease effectively. Studies have stated that the various models are used mainly for the classification and forecasting of the diagnosis of heart-related diseases. …”
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Ketamine Use in Hysterosalpingography (the Jimah Procedure): A Follow-Up of Bilateral Tubal Evaluation of 27 Infertile  Women  at a Teaching Hospital, Ghana by Bashiru Babatunde Jimah, Anthony Baffour Appiah, Benjamin Dabo Sarkodie, Dorothea Anim

“…We recommend that radiologists in developing countries should consider sedating patients during HSG and documenting observations and patients’ feedback to help assess safety and effectiveness in local settings.…”
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Proportion of Variant Anatomy of the Circle of Willis and Association with Vascular Anomalies on Cerebral CT Angiography by Roy Munialo Machasio, Rose Nyabanda, Timothy Musila Mutala

“…MIP and 3D reformatted images were analyzed by two senior radiologists to determine the final configuration of the CW and presence of vascular pathology. …”
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Diagnostic Accuracy of Non-Contrast Magnetic Resonance Imaging in Diagnosing Pituitary Micro-Adenoma, Taking Histopathology as Gold Standard by Sehar Sarfraz, Tayyaba Ali, Pakeeza Shafiq, Zartashia Khan, Waqar Azeem, Ghazala Rasool, Ehsan Ul Haq

“…A standardized protocol was used for non-contrast MRI and findings were interpreted by experienced radiologists. The comparison was made against histopathology as the reference standard. …”
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Automated Breast Cancer Detection in Mammograms using Transfer Learningbased Deep Learning Models by Preeti Katiyar, Krishna Singh

“…Furthermore, new tools can ease the workload for radiologists, leading to more standardised and efficient diagnostic procedures.…”
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An Analysis of the Rate and Reasons for Rejected Radiographs in Emergency and Non-Emergency Radiology Departments in Yasuj, Iran by Seyyed Amir Moradian, Hamed Zamani, Saman Dalvand

“…Conclusion: In comparison to previous research, the current study's percentage of rejected images was deemed acceptable. Radiologists are advised to frequently assess the reason and rate for rejecting radiographs to enhance the effectiveness of their radiology unit. …”
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Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model by Suvashisa Dash, Mohammed Siddique, Satyasis Mishra, Demissie J. Gelmecha, Sunita Satapathy, Davinder Singh Rathee, Ram Sewak Singh

“…Brain tumor detection and classification have become challenging and time-consuming for domain-specific radiologists and pathologists in medical image analysis. …”
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INFLUENCE OF EXO- AND ENDOGENOUS FACTORS ON THE MORPHOLOGICAL AND FUNCTIONAL STATE OF THE SPLEEN AS AN IMPORTANT MEDICAL AND SOCIAL PROBLEM OF THE HEALTH CARE SYSTEM by O.V. Mamai, S.M. Bilash, R.M. Grinko

“…The spleen is often considered a “forgotten organ” among clinicians and radiologists. Nevertheless, the spleen can be involved in a variety of congenital and acquired diseases, which makes it important to study the influence of exogenous and endogenous factors on its morphological and functional state. …”
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Percutaneous transhepatic arterial access for coil embolization of hepatic artery infusion pump-associated bleeding by Anuj K. Dutta, Vishal Shankar, Ernesto G. Santos, Brett Marinelli, Erica S. Alexander, Vlasios S. Sotirchos, Ken Zhao

“…Conclusions This report highlights the safety and efficacy of percutaneous transhepatic arterial access for endovascular management of HAIP associated bleeding at the gastroduodenal artery when standard antegrade interventions cannot be performed. Interventional radiologists caring for patients with HAIPs should be familiar with their potential complications and the range of techniques required for management.…”
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Juxtahepatic venous injuries are not AAST Grade V injuries if there is no contrast extravasation by Vijayan Purushothaman, Kirthi Sathyakumar, Vignesh Kumar, Srujan Lam Sharma

“…Patients underwent contrast-enhanced dual-phase computed tomography scans on admission were reviewed by both radiologists and surgeons. Patients diagnosed with JHV injuries (JHV – with no contrast extravasation [CE]) and patients with low-grade injuries (OIS I–III) were compared for baseline data on age, gender, injury severity score (ISS) scoring, injury mechanism, length of hospital stay, and liver-related complications. …”
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