Objective: To assess the accuracy of a semiautomated 3-dimensional (3D) computed tomographic angiography software in the evaluation of lower limb stenoses compared to reader evaluation, using digital subtraction angiography (DSA) as standard of reference.
Materials And Methods: Forty patients with peripheral vascular occlusive disease underwent both DSA and computed tomographic angiography. The vascular tree was divided into 6 segments from distal aorta to popliteal artery. Each district was evaluated for significant stenosis by one experienced vascular radiologist (on axial as well as 3D images) and by a semiautomated 3D software analysis, independently. Evaluation of the vessel evaluation was then repeated by a poorly experienced radiologist twice, first without 3D software analysis and then supported by 3D software analysis.
Results: Both experienced radiologist and automated evaluations obtained high statistical results when compared to DSA. The analysis by poorly experienced radiologist obtained lower statistical results, which significantly improved when supported by 3D software analysis.
Conclusions: Three-dimensional analysis software should be feasible to identify significant vascular stenoses and may help a poorly experienced radiologist to significantly improve diagnostic accuracy.
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http://dx.doi.org/10.1097/RCT.0b013e31828730ed | DOI Listing |
BMC Med Imaging
January 2025
Department of Magnetic Resonance Imaging, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, China.
Background: Conventional hip joint MRI scans necessitate lengthy scan durations, posing challenges for patient comfort and clinical efficiency. Previously, accelerated imaging techniques were constrained by a trade-off between noise and resolution. Leveraging deep learning-based reconstruction (DLR) holds the potential to mitigate scan time without compromising image quality.
View Article and Find Full Text PDFInsights Imaging
January 2025
Medical Research Department, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, P. R. China.
Objective: To develop an automatic segmentation model to delineate the adnexal masses and construct a machine learning model to differentiate between low malignant risk and intermediate-high malignant risk of adnexal masses based on ovarian-adnexal reporting and data system (O-RADS).
Methods: A total of 663 ultrasound images of adnexal mass were collected and divided into two sets according to experienced radiologists: a low malignant risk set (n = 446) and an intermediate-high malignant risk set (n = 217). Deep learning segmentation models were trained and selected to automatically segment adnexal masses.
Eur J Radiol
January 2025
Dipartimento Diagnostica per Immagini e Radioterapia Oncologica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Purpose: To assess the incidence of pelvic insufficiency fractures (PIFs) after concurrent chemoradiotherapy (CCRT) in patients with locally advanced cervical cancer (LACC), their time of onset and risk factors. We also analysed the inter-observer agreement between gynaecologic radiologists (GYN readers) and radiologists expert in musculoskeletal imaging (MSK reader) in detecting PIFs in our tertiary care centre.
Methods: Patients with confirmed LACC who underwent concurrent chemoradiation (CCRT) at our institution from June 2019 to November 2022 were retrospectively included.
Eur J Radiol
January 2025
Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu Province 214062, China. Electronic address:
Purpose: To construct a nomogram combining Kaiser score (KS), synthetic MRI (syMRI) parameters, apparent diffusion coefficient (ADC), and clinical features to distinguish benign and malignant breast lesions better.
Methods: From December 2022 to February 2024, a retrospective cohort of 168 patients with breast lesions diagnosed as Breast Imaging Reporting and Data System (BI-RADS) category 4 by ultrasound and/or mammography was included. The research population was divided into the training set (n = 117) and the validation set (n = 51) by random sampling with a ratio of 7:3.
AJNR Am J Neuroradiol
January 2025
Department of Radiology (K.L.R, L.V.R., A.F.J.), Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
Background And Purpose: This study investigates the practicality and utility of the "outline sign," which refers to the thin curvilinear hyperenhancing line that may be seen along the margin of a meningioma on a spin-echo postcontrast T1-weighted image. For cases in which the differential diagnosis may include other tumors, visualization of the outline sign may help to increase the diagnostic confidence for a meningioma. Therefore, in the temporal bone region such as the cerebellopontine angle or jugular foramen, where differential considerations may include a schwannoma or paraganglioma, we additionally investigated whether the outline sign may be observed in these nonmeningioma lesions.
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