Deep Transfer Learning for Classification of Late Gadolinium Enhancement Cardiac MRI Images into Myocardial Infarction, Myocarditis, and Healthy Classes: Comparison with Subjective... by Amani Ben Khalifa, Manel Mili, Mezri Maatouk, Asma Ben Abdallah, Mabrouk Abdellali, Sofiene Gaied, Azza Ben Ali, Yassir Lahouel, Mohamed Hedi Bedoui, Ahmed Zrig

“…<b>Conclusions:</b> Our study demonstrated that the VGG16-MLP model permits accurate classification of MI, myocarditis, and healthy LGE cardiac MRI images and could be considered a reliable computer-aided diagnosis approach specifically for radiologists with limited experience in cardiovascular imaging.…”
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Expert-Based Narrative Review on Compression UltraSonography (CUS) for Diagnosis and Follow-Up of Deep Venous Thrombosis (DVT) by Mario D’Oria, Laura Girardi, Ahmed Amgad, Mohab Sherif, Gabriele Piffaretti, Barbara Ruaro, Cristiano Calvagna, Philip Dueppers, Sandro Lepidi, Marco Paolo Donadini

“…When needed, healthcare operators with more advanced US skills (such as radiologists, angiologists, or vascular surgeons) may be called upon to provide a second look in case of uncertainty and/or need for additional information.…”
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Liver Imaging and Data System (LI-RADS) Version 2018 and Other Imaging Features in Intrahepatic Cholangiocarcinoma in Chinese Adults with vs. without Chronic Hepatitis B Viral Infe... by Ying-ying Liang, Shuo Shao, Sichi Kuang, Jingbiao Chen, Jing Zhou, Bingjun He, Linqi Zhang, Yao Zhang, Kathryn J. Fowler, Jin Wang

“…Two independent abdominal radiologists in consensus reviewed the largest mass in each patient to assign LI-RADS v2018 features; they also scored each observation’s shape and location. …”
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Photon-counting detector CTA to assess intracranial stents and flow diverters: an in vivo study with ultrahigh-resolution spectral reconstructions by Frederic De Beukelaer, Sophie De Beukelaer, Laura L. Wuyts, Omid Nikoubashman, Mohammed El Halal, Iliana Kantzeli, Martin Wiesmann, Hani Ridwan, Charlotte S. Weyland

“…Polyenergetic, virtual monoenergetic, pure lumen, and iodine reconstructions with different keV levels (40, 60, and 80) and reconstruction kernels (body vascular [Bv]48, Bv56, Bv64, Bv72, and Bv76) were evaluated by two radiologists with regions of interests and Likert scales. …”
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Simulated low-dose dark-field radiography for detection of COVID-19 pneumonia. by Rafael C Schick, Henriette Bast, Manuela Frank, Theresa Urban, Thomas Koehler, Florian T Gassert, Andreas P Sauter, Bernhard Renger, Alexander A Fingerle, Alexandra Karrer, Marcus R Makowski, Daniela Pfeiffer, Franz Pfeiffer

“…The simulated radiographs corresponded to 50%, 25%, and 13% of the full dose (41.9 μSv, median value). Four experienced radiologists served as blinded readers assessing both image modalities, displayed side by side in random order. …”
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Feasibility of generating sagittal radiographs from coronal views using GAN-based deep learning framework in adolescent idiopathic scoliosis by Tito Bassani, Andrea Cina, Fabio Galbusera, Andrea Cazzato, Maria Elena Pellegrino, Domenico Albano, Luca Maria Sconfienza

“…To assess accuracy, 100 subjects from the test-set were randomly selected for manual measurement of lumbar lordosis (LL), sacral slope (SS), pelvic incidence (PI), and sagittal vertical axis (SVA) by two radiologists in both synthetic and real images. Results Sixty-nine synthetic images were considered assessable. …”
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Utilizing machine-learning techniques on MRI radiomics to identify primary tumors in brain metastases by W. L. Yang, W. L. Yang, X. R. Su, S. Li, K. Y. Zhao, Q. Yue

“…Intra-class correlation coefficient (ICC) was used to examine segmentation stability between two radiologists. Radiomics features were selected using analysis of variance (ANOVA), recursive feature elimination (RFE), and Kruskal–Wallis test. …”
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The serum level of sclerostin decreases in radiographic axial spondyloarthritis patients with fatty lesions by Xuegang Li, Haijian Jiang, Xu Wang, Shuping Zhong

“…Fatty lesions in the sacroiliac joints (SIJs) were scored independently by two radiologists. Serum levels of bone turnover markers, including sclerostin, osteoprotegerin (OPG), procollagen I N-terminal propeptide (PINP), cross linked C-telopeptide of type I collagen (CTX-I), osteocalcin (OC), were measured using enzyme-linked immunosorbent assays. …”
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Comparative thoracic radiography in healthy and tuberculosis-positive sun bears (Helarctos malayanus) by Kirsty Officer, Kirsty Officer, Natalie Webster, Alana J. Rosenblatt, Phorn Sorphea, Kris Warren, Kris Warren, Bethany Jackson, Bethany Jackson

“…Findings of two veterinary radiologists, blinded to clinical information, revealed high agreement on broad categorization of radiographic studies as normal, abnormal, or needing correlation with further information. …”
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Interpretable machine learning model for predicting clinically significant prostate cancer: integrating intratumoral and peritumoral radiomics with clinical and metabolic features by Wenjun Zhao, Mengyan Hou, Juan Wang, Dan Song, Yongchao Niu

“…Intratumoral and peritumoral volumes of interest (VOIintra, VOIperi)) were manually segmented by experienced radiologists on T2-weighted imaging (T2WI) and apparent diffusion coefficient (ADC) maps. …”
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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…MethodsThis study employed the MedTxt-RR dataset, comprising 135 Japanese radiology reports from 9 radiologists who interpreted the computed tomography images of 15 lung cancer patients obtained from Radiopaedia. …”
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The Morphological Stenosis Pattern of the Caroticoclinoid Foramen by Ioannis Paschopoulos, George Triantafyllou, Panagiotis Papadopoulos-Manolarakis, Sabino Luzzi, Nektaria Karangeli, George Tsakotos, Renato Galzio, Maria Piagkou

“…In 16.8% of the current sample with CCFs (irrespective of their morphology), we observed that the ICA is probably at a high risk of compression. Radiologists and neurosurgeons intervening in the area should preoperatively diagnose the possibility of ICA compression in this area.…”
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Comparative Analysis of Automated and Handheld Breast Ultrasound Findings for Small (≤1 cm) Breast Cancers Based on BI-RADS Category by Han Song Mun, Eun Young Ko, Boo-Kyung Han, Eun Sook Ko, Ji Soo Choi, Haejung Kim, Myoung Kyoung Kim, Jieun Kim

“…Patients with tumors measuring ≤1 cm on either modality were enrolled. Two breast radiologists retrospectively evaluated multiple imaging features, including shape, orientation, margin, echo pattern, and posterior characteristics and assigned BI-RADS categories. …”
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Determining the status of tertiary lymphoid structures in invasive pulmonary adenocarcinoma based on chest CT radiomic features by Ye Yu, Tianshu Yang, Pengfei Ma, Yan Zeng, Yongming Dai, Yicheng Fu, Aie Liu, Ying Zhang, Guanglei Zhuang, Yan Zhou, Huawei Wu

“…Furthermore, visual assessments of the test set were also conducted by two thoracic radiologists and compared with the radiomics results. …”
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Tomographic features of lung damage associate with D-Dimer levels and further clinical outcome in patients with acute respiratory distress syndrome due to COVID-19 by Juan Antonio Suárez-Cuenca, José Fernando Flores-Zaleta, Leslie Andrea Corona-Rojas, Pablo Guzmán-Rullán, Luis Alfonso Camacho-Barajas, Uzziel Aguilera-Ontiveros, Alberto Melchor-López, Alejandro González-Mora, Perla Marlene Guzmán-Ramírez, Janicia Rodríguez-Solis

“…Tomographic extent of lung involvement was analyzed by image software, as well as damage patterns, assessed by experienced radiologists. Endpoints included relation of lung injury with coagulopathy markers like D-Dimer, and prognostic outcome including mortality, mechanical ventilation and hospitalization time. …”
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Pathological and radiological assessment of benign breast lesions with BIRADS IVc/V subtypes. should we repeat the biopsy? by Wesam Rjoop, Anwar Rjoop, Alia Almohtaseb, Lama Bataineh, Zeina Nser Joubi, Maha Gharaibeh, Abdalrahman Al-Qwabah, Yousef Alasheh, Ismail Matalka

“…The study recommends a correlation between clinical and radiological findings and encourages multidisciplinary decision-making among radiologists, pathologists, and clinicians to determine if a repeat biopsy is warranted. …”
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Study of a Deep Learning Reconstruction Algorithm for Displaying Small- and Medium-sized Blood Vessels in Upper Abdominal Energy Spectrum CT by Qin WANG, Weijie YAN, Yuan YUAN, Hehan TANG, Liping DENG

“…In addition, the signal-to-noise (SNR) and contrast-to-noise (CNR) ratios of each branch vessel were calculated. Two radiologists provided subjective scores on image noise, image artifacts, target blood vessel contrast, image “waxiness.” and overall image quality. …”
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Assessing Mean Glandular Dose in Mammography in Jordan According to American College of Radiology (ACR) Standards by Al Hrout R, Ayasrah M, Noor Azman NZ

“…This study intends to assess skin entrance exposure and compute the Mean Glandular Dose (MGD) in mammography units to determine adherence to established criteria and pinpoint areas for enhancement.Methods: To assess MGD, the study utilized the American College of Radiologists (ACR) phantom alongside a RaySafe X2 MAM dosimeter. …”
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Role of IPF genetic risk loci in post-COVID-19 lung abnormalities: a cohort study by James Johnston, Christopher Carlsten, Christopher J Ryerson, Alyson W Wong, Cameron J Hague, Julia Yang, Janice Leung, Daniel-Costin Marinescu, Aditi Shah, Darra Murphy

“…Ground glass opacities and reticulation on imaging were visually quantified by two expert thoracic radiologists. Linear regression was used to evaluate the association between risk alleles at each of the three SNPs and (a) lung parenchymal abnormalities as well as (b) pulmonary function, adjusted for age, sex, smoking history and days spent on supplemental oxygen during acute illness.Results 71 patients were included. …”
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Diagnostic performance of CT for extrarenal fat invasion in renal cell carcinoma: a meta-analysis and systematic review by Junchao Ma, Enyu Yuan, Shijian Feng, Jin Yao, Chunlei He, Yuntian Chen, Bin Song

“…Critical relevance statement This study provides radiologists and urologists with a systematic and comprehensive summary of CT and CT-related morphological features in assessing extrarenal fat invasion in patients with RCC. …”
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