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Clinical Radiology|December 25, 2024
The magnetic resonance imaging (MRI) features of intracranial lesions in myelin oligodendrocyte glycoprotein-immunoglobulin G-associated disease (MOGAD)J Wang, J Fang, J Wang, et al.
Clinical Radiology|December 25, 2024
Ultrasound-based ADNEX model for differentiating between benign, borderline, and malignant epithelial ovarian tumoursW Xie, Q Zhang, Y Wang, et al.
Clinical Radiology|November 23, 2024
A radiologist's guide to the galaxy of complications post total pelvic exenteration for rectal cancersA Guha, S Gandhi, S Mynalli, et al.
Clinical Radiology|November 21, 2024
Machine learning-based CT radiomics approach for predicting occult peritoneal metastasis in advanced gastric cancer preoperativelyZ-N Zhu, Q-X Feng, Q Li, et al.
Clinical Radiology|November 21, 2024
'Is it time to standardise elective nephrostomies as day case procedures?'- a single-centre retrospective studyN Murali, L Senathirajah, M Taylor, et al.
Clinical Radiology|November 12, 2024
Percutaneous core needle biopsy for para-aortic retroperitoneal lesions: impact of size and location on diagnostic accuracy of computed tomography-guided biopsy and feasibility of ultrasound guidanceC Itou, M Sone, Y Arai, et al.
Clinical Radiology|November 13, 2024
Predictive ability of magnetic resonance imaging (MRI) for detecting prostate cancer and its clinical significance in MRI-targeted biopsy for prostate imaging reporting and data system (PI-RADS) ≥3 lesionsA Erkan, S G Gur Ozcan, M Erkan, et al.
Clinical Radiology|October 8, 2024
Deep learning constrained compressed sensing reconstruction improves high-resolution three-dimensional (3D) T2-weighted turbo spin echo magnetic resonance imaging (MRI) of the lumbar spineE Sartoretti, T Sartoretti, L Bertulli, et al.
Clinical Radiology|September 25, 2024
Breast/chest imaging findings and clinical considerations in transgender patientsC Vijapura, R Wahab, M Patel, et al.
Clinical Radiology|September 13, 2024
Multi-phase computed tomography angiography combined with inflammation index to predict clinical functional prognosis in patients with acute ischemic strokeH Yang, T Han, Y Han, et al.
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