Deep-learning computer-aided detection and classification of prostate lesions on biparametric MRI: comparison with expert readers [0.03%]
Deepak Jain,Francisco Restrepo,Kazuya Yasokawa et al.
Deepak Jain et al.
Objective: To assess the performance of a deep learning-based computer-aided detection (DL-CAD) algorithm for prostate lesion detection and classification on biparametric (bp)MRI. ...
Su Wu,Alex Wing Hung Ng,James Francis Griffith et al.
Su Wu et al.
Objectives: Rheumatoid arthritis (RA) patients are prone to carpal tunnel syndrome (CTS). MRI can accurately detect median nerve swelling associated with CTS as well as evaluate synovial inflammation and structural damage...
Comparative evaluation of large language models for generating CAD-RADS 2.0-compliant diagnostic conclusions in cardiac CT reports [0.03%]
Giovanni Lorusso,Giorgio Ruscino,Alessia Spitaleri et al.
Giovanni Lorusso et al.
Objectives: Coronary computed tomography angiography (CCTA) has become a cornerstone in non-invasive CAD diagnosis and risk stratification. To standardize reporting and improve clinical decision-making, the CAD-RADS 2.0 s...
Diagnostic performance of native T1 in grading histologically proven myocardial glycosphingolipid accumulation in Fabry disease [0.03%]
Nicola Galea,Livia Marchitelli,Giacomo Pambianchi et al.
Nicola Galea et al.
Objective: Fabry disease cardiomyopathy (FD-CM) is a genetic disorder induced by glycosphingolipid accumulation (GSL-A) in cardiac cells, resulting in left ventricular hypertrophy (LVH) and contractile impairment. Native ...
Psychological distress links to magnetic resonance enterography abnormalities in Crohn's disease [0.03%]
Ruonan Zhang,Yaoqi Ke,Huasong Cai et al.
Ruonan Zhang et al.
Objectives: Emerging evidence underscores psychological distress as a potential modifier of clinical outcomes in Crohn's disease (CD), though its etiological basis remains undetermined. This study investigated association...
Deep learning-based early prediction of carotid plaque response to lipid-lowering therapy using longitudinal multimodal ultrasound imaging [0.03%]
Lulu Jiang,Yaning Sun,Wendi Huang et al.
Lulu Jiang et al.
Objective: This study aimed to develop and validate a deep learning prediction model using longitudinal multimodal ultrasound imaging for early identification of treatment-sensitive and treatment-resistant carotid plaques...
Focal intratesticular lesions including spontaneous hematomas in the acute scrotum: the pivotal role of ultrasound and MRI in diagnosis and management-a pictorial review [0.03%]
Laurence Rocher,Mariam Hijazi,Fatima Shaito et al.
Laurence Rocher et al.
An acute scrotum with a focal intratesticular lesion represents a diagnostic challenge and may lead to misdiagnosis and inappropriate management, such as unnecessary orchidectomy or empirical antibiotic therapy. In an emergency setting of a...
Associations of dual-energy computed tomography-derived visceral adipose tissue quality and high-risk coronary plaque in patients with metabolic syndrome [0.03%]
Yuxue Dang,Weishi Ni,Yanhua Zhen et al.
Yuxue Dang et al.
Objectives: To investigate the relationship between metabolic syndrome (MetS), visceral adipose tissue (VAT), and high-risk coronary plaques. Materials an...
Clinical utility of BOLD-MRI in accurate diagnosis and prognostic evaluation of diabetic nephropathy: a prospective renal biopsy-based cohort study [0.03%]
Qian Wang,Shaopeng Zhou,Yue Niu et al.
Qian Wang et al.
Objectives: To validate blood oxygen level-dependent MRI (BOLD-MRI) for non-invasive discrimination of diabetic nephropathy (DN) vs non-diabetic renal disease (NDRD) and prediction of end-stage renal disease (ESRD) in dia...
Decoding the association between CT-derived body composition metrics and prognosis in stage II rectal cancer [0.03%]
Fengli Jiang,Ziyan Weng,Zhiqing Shao et al.
Fengli Jiang et al.
Objectives: To evaluate the prognostic impact of CT-derived body composition metrics and clinical factors, and to develop a prognostic model in patients with stage II rectal cancer. ...