Comparison of Diagnostic Performance of PI-RADS V2 and V2.1 and Interobserver Agreement in Both Versions by Mustafa Koplay, Ali Furkan Batur, Serdar Göktaş, Mehmet Kaynar, Halil Özer, Ahmet Baytok, Ömer Faruk Topaloğlu

“…Objective: To compare the diagnostic performance for the detection of clinically significant prostate cancers and interobserver agreement between PI-RADS v2 and v2.1 Material and Method: The mpMRI images of 258 patients and 394 nodüles included in this retrospective study were obtained on 3T MR and evaluated by two radiologists according to PI-RADS v2 and v2.1. Sensitivity and specificity between v2 and v2.1 compared. …”
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A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification by Abdelmgeid A. Ali, Mohamed T. Hammad, Hassan S. Hassan

“…This approach has great potential to support radiologists and physicians in making timely and accurate diagnoses.…”
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An Efficient Dual-Sampling Approach for Chest CT Diagnosis by Alshamrani K, Alshamrani HA

“…This advancement has the potential to aid radiologists in making more accurate diagnoses, ultimately benefiting patient treatment and contributing to better overall population health. …”
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Deep learning classification of MGMT status of glioblastomas using multiparametric MRI with a novel domain knowledge augmented mask fusion approach by İlker Özgür Koska, Çağan Koska

“…These fusion masks, which were guided by multiple sequences, helped collect information from the regions that seem disease-free to radiologists in standard MRI sequences while harboring pathology. …”
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Leiomyosarcomas of the inferior vena cava: diagnostic features on contrast-enhanced CT, ultrasonography and MRI by Xiaolin Xu, Shilei Zhao, Lifang Xue

“…Images were independently reviewed by two experienced radiologists. The clinical presentations and diagnostic characteristics were recorded.ResultsThe study involved 16 female and 5 male patients, with an average age of 55 ± 11 years (ranging from 34 to 80 years). …”
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Artificial intelligence effectivity in fracture detection by V. Boginskis, S. Zadoroznijs, I. Cernavska, D. Beikmane, J. Sauka

“…Fractures were detected by radiologists, attending physicians, and the AI program, with comparisons made between them. …”
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The role of Artificial Intelligence in detecting breast lesions using ultrasound by Daria Ziemińska, Karina Motolko, Rafał Burczyk, Konrad Duszyński, Elżbieta Tokarczyk, Martyna Michalska, Adam Łabuda

“…AI aids BI-RADS lesion classification, ultrasound lesion detection, lymph node analysis, and treatment response prediction, often surpassing radiologists. Its future relies on real-world validation, improved outcomes, and clinical integration. …”
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Soft Tissue/Bone Decomposition of Conventional Chest Radiographs Using Nonparametric Image Priors by Yunbi Liu, Wei Yang, Guangnan She, Liming Zhong, Zhaoqiang Yun, Yang Chen, Ni Zhang, Liwei Hao, Zhentai Lu, Qianjin Feng, Wufan Chen

“…Background and Objective. When radiologists diagnose lung diseases in chest radiography, they can miss some lung nodules overlapped with ribs or clavicles. …”
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Surgical planning of small intestine neuroendocrine tumors: the concept of mesenteric tumor deposits by Romain L’Huillier, Gilles Poncet, Arnaud Pasquer, Thomas Walter, Catherine Lombard-Bohas, Valérie Hervieu, Bénédicte Cayot, Pierre-Jean Valette, Helen Cheung, Laurent Milot

“…Preoperative CTs were reviewed, blinded from surgical and pathological data, by two radiologists. Diagnostic accuracy and interobserver reliability analysis were performed. …”
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Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis by Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios Efstathopoulos, Luigi Serio

“…While the performance of the state-of-the-art models is increasing, reaching radiologists and other experts’ accuracy levels in many cases, there is still a lot of research needed on the direction of in-depth and transparent evaluation of the correct results and failures, especially in relation to important aspects of the radiological practice: abnormality position, intensity level, and volume. …”
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The Impact of Weighting Factors on Dual-Energy Computed Tomography Image Quality in Non-Contrast Head Examinations: Phantom and Patient Study by Doris Šegota Ritoša, Doris Dodig, Slavica Kovačić, Nina Bartolović, Ivan Brumini, Petra Valković Zujić, Slaven Jurković, Damir Miletić

“…Based on the phantom study findings, WFs of 0.4, 0.6, and 0.8 were chosen for patient analyses, which were identically carried out on 85 patients who underwent non-contrast head DECT. Three radiologists performed subjective phantom and patient analyses. …”
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Intravenous Contrast Agent in Abdominal CT: Is It Really Needed to Identify the Cause of Bowel Obstruction? Proof of Concept by Federica Vernuccio, Dario Picone, Gregorio Scerrino, Massimo Midiri, Giuseppe Lo Re, Roberto Lagalla, Giuseppe Salvaggio

“…We retrospectively evaluated abdominal CT scans of patients operated for bowel obstruction from March 2013 to October 2017. Two radiologists evaluated CT scans before and after contrast agent in two reading sessions. …”
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Diagnostics and Treatment of Esophageal Achalasia (Clinical Guidelines of the Russian Gastroenterological Association, Russian Scientific Medical Society of Internal Medicine, Russ... by V. T. Ivashkin, A. S. Trukhmanov, I. V. Maev, O. M. Drapkina, A. I. Martynov, O. A. Storonova, E. A. Godgello, M. P. Korolev, T. L. Lapina, P. V. Pavlov, A. V. Paraskevova, I. A. Tarasova, E. D. Fedorov, A. T. Tskhovrebov, M. P. Shapka, A. L. Shestakov, A. V. Yurasov

“…Aim: to familiarize gastroenterologists, therapists, functional diagnostics and general practitioners (family doctors), radiologists, and endoscopists with modern methods of diagnosis and treatment of achalasia of the cardia.Key points. …”
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Evaluation of Siemens Healthineers’ StrokeSegApp for automated diffusion and perfusion lesion segmentation in patients with ischemic stroke by Lynnet-Samuel J. Teichmann, Ahmed A. Khalil, Kersten Villringer, Jochen B. Fiebach, Stefan Huwer, Eli Gibson, Ivana Galinovic

“…PurposeThis study aimed to evaluate the perfomance of Siemens Healthineers’ StrokeSegApp performance in automatically segmenting diffusion and perfusion lesions in patients with acute ischemic stroke and to assess its clinical utility in guiding mechanical thrombectomy decisions.MethodsThis retrospective study used MRI data of acute ischemic stroke patients from the prospective observational single-center 1000Plus study, acquired between September 2008 and June 2013 (clinicaltrials.org; NCT00715533) and manually segmented by radiologists as the ground truth. The performance of the StrokeSegApp was compared against this ground truth using the dice similarity coefficient (DSC) and Bland–Altman plots. …”
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Assessment of factors implicated in bone fusion after percutaneous endoscopic lumbar intervertebral fusion by Zheng Huang, Xialin Li, Weihong Yi, Junfeng Gong, Yue Zhou, Yu Tang

“…Fusion was evaluated using thin-slice computed tomography scans at 12 months by 2 independent radiologists and defined as no detectable lucency between bone and graft. …”
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Inter-reader agreement for diagnosing thymic cysts on chest MRI in two tertiary referral centers by Yura Ahn, Sang Min Lee, Chu Hyun Kim, Sehee Kim, Jooae Choe, Joon Beom Seo, Ho Yun Lee

“…Internal and external reading sets consisted of different combinations of MR sequences (pre- and post-contrast T1-weighted, T2-weighted, subtracted images, and diffusion-weighted imaging [DWI]/apparent diffusion coefficient [ADC] map) and CT. Four and three radiologists independently reviewed internal and external reading sets. …”
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Low KV-low contrast medium dose one-stop dual source CT high pitch integrated coronary-carotid-cerebral-aortic CTA improves image quality and reduces both radiation and contrast me... by Meng Wang, Chao Zheng, Lin Yang, Juan Su, Bo Wang, JieXin Sheng

“…Noise, attenuation, signal to noise ratio (SNR), and contrast to noise ratio (CNR) were compared between the groups by setting region of interest (ROI) in target vessels to evaluate objective image quality. Two radiologists assessed subjective image quality using the 5-point scale. volumetric CT dose index (CTDIvol), dose length production (DLP), and effective radiation dose (ED) were compared, while contrast medium (CM) dose was assessed by CM volume and iodine uptake (IU). …”
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Comparison of MRI and CT in the Evaluation of Unilateral Maxillary Sinus Opacification by Elise Chua, Annakan V. Navaratnam, Dominic St Leger, Vincent Lam, Samit Unadkat, Alexander Weller

“…Two head and neck radiologists independently reviewed each imaging modality and recorded both a final diagnosis and Likert-scale diagnostic certainty score. …”
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OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging by Xiaolu Ren, Xiaolu Ren, Lingxuan Hou, Shan Liu, Peng Wu, Siming Liang, Haitian Fu, Chengquan Li, Ting Li, Yongjing Cheng

“…These results showcase its improved capability in predicting KOA from X-ray images, making it a promising tool for assisting radiologists in diagnosis and treatment selection in clinical settings.ConclusionLeveraging deep learning for osteoarthritis classification guarantees heightened efficiency and accuracy. …”
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MRI findings in patients with psychogenic non‐epileptic seizures: Prevalence, distribution, and classification of the findings. A single tertiary epilepsy center experience by Aleix Jareno‐Badenas, Mario Matute‐González, Luis Pintor, Estefanía Conde‐Blanco, Mar Carreño, Xavier Setoain, Camilo Pineda, Fernando Diego Choque‐Chávez, Tomás Fernández, Núria Bargalló, Sofía González‐Ortiz

“…The MRI findings were evaluated and classified by two radiologists, who reported the category of the findings, laterality, and location. …”
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