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This retrospective study aimed to differentiate cyst-like musculoskeletal soft-tissue masses by using time-resolved magnetic resonance angiography (MRA). During May 2015 to November 2019, patients with cyst-like soft-tissue masses examined through contrast-enhanced MRI followed by histologic diagnosis were included. The masses were classified into vascular lesions, solid lesions, and true cysts. Size, T1 hyperintensity, T2 composition, perilesional edema, time-resolved MRA, and static internal enhancement were assessed. The time-resolved MRA manifestations were classified into vascular pooling, solid stain, and occult lesion. Imaging predictors for each type of mass were identified through logistic regression and were used to develop a diagnostic flowchart. A total of 80 patients (47 men; median age, 42 years) were included, with 22 vascular lesions, 38 solid lesions, and 20 true cysts. The T2 composition, time-resolved MRA, and static internal enhancement were significantly different among the masses. Vascular pooling on time-resolved MRA was the sole predictor of vascular lesions (odds ratio = 722.0, < 0.001). Solid stain on time-resolved MRA was the sole predictor of solid lesions (odds ratio = 73.6, < 0.001). Occult lesion on time-resolved MRA (odds ratio = 7.4, = 0.001) and absence of static internal enhancement (odds ratio = 80.0, < 0.001) both predicted true cysts, while the latter was the sole predictor of true cysts after multivariate analysis. A diagnostic flowchart based on time-resolved MRA correctly classified 89% of the masses. In conclusion, time-resolved MRA accurately differentiates cyst-like soft-tissue masses and provides guidance for management.
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http://dx.doi.org/10.3390/diagnostics10121094 | DOI Listing |
J Cardiovasc Magn Reson
June 2025
School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Institute of Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile; School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile; Mill
Background: Magnetic resonance angiography (MRA) is an important tool for aortic assessment in several cardiovascular diseases. Assessment of MRA images relies on manual segmentation, a time-intensive process that is subject to operator variability. We aimed to optimize and validate two deep-learning models for automatic segmentation of the aortic lumen and vessel wall in high-resolution electrocardiogram-triggered free-breathing respiratory motion-corrected three-dimensional (3D) bright- and black-blood MRA images.
View Article and Find Full Text PDFFront Vet Sci
May 2025
Department of Veterinary Medical Imaging, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Introduction: This study aimed to compare the imaging characteristics and diagnostic utility of Time-Resolved Imaging of Contrast Kinetics (TRICKS) Magnetic Resonance Angiography (MRA) and Computed Tomography Angiography (CTA) for assessing intracranial and extracranial vascular structures in veterinary patients.
Methods: This retrospective methods comparison study included nine client-owned dogs and one cat with head and neck tumors, all of which underwent both CTA and TRICKS MRA. A qualitative assessment of major intracranial and extracranial vessels, as well as tumorassociated vessels-including feeding and draining vessels-was performed.
Front Cardiovasc Med
April 2025
School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Background: Serial assessment of the thoracic aorta with magnetic resonance angiography (MRA) is desirable due to 3D volumetric dataset, high spatial resolution, and lack of ionizing radiation. Electrocardiogram (ECG) gated, contrast-enhanced (CE), inversion recovery gradient echo MRA is efficient and historically provides low artifact burden, but the window for imaging with weak albumin binding extracellular gadolinium based contrast agents is small. Our purpose was to acquire whole-chest gated CE-MRA with 1.
View Article and Find Full Text PDFAJNR Am J Neuroradiol
May 2025
From the Department of Radiology, University of Miami, Miami, FL, USA (ESL, RJTG), Department of Radiology, Jackson Health System, Miami, FL, USA(JA), Department of Neurosurgery, University of Miami, Miami, FL, USA (DRY, RMS, ADL), Department of Neurosurgery, Jackson Health System, Miami, FL, USA(AM
Background And Purpose: Despite advances in imaging techniques, spinal dural arteriovenous fistulas may be misdiagnosed, leading to delays in treatment and in some cases irreversible neurological damage. Spinal DSA has been considered the gold standard in diagnosing spinal dural arteriovenous fistula; however, it is operator dependent and often technically difficult, which can result in false negative studies. MRI/MRA has been established as a sensitive and specific imaging technique in diagnosing spinal dural arteriovenous fistula (SDAVF) and in identifying the correct level of the fistula.
View Article and Find Full Text PDFBMC Med Imaging
April 2025
Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Background: To assess the effect of the combination of deep learning reconstruction (DLR) and time-resolved maximum intensity projection (tMIP) or time-resolved average (tAve) post-processing method on image quality of CTA derived from low-dose cerebral CTP.
Methods: Thirty patients underwent regular dose CTP (Group A) and other thirty with low-dose (Group B) were retrospectively enrolled. Group A were reconstructed with hybrid iterative reconstruction (R-HIR).