Imaging in Large Vessel Vasculitis—A Narrative Review DOI Open Access
Ioana Popescu, Roxana Pintican,

Luminita Cocarla

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(21), P. 6364 - 6364

Published: Oct. 24, 2024

Vasculitis refers to a group of rare conditions characterized by the inflammation blood vessels, affecting multiple systems. It presents diagnostic and therapeutic challenge due its broad clinical manifestations. is classified based on size affected vessels: small, medium, large, or variable-sized. Large vessel vasculitis (LVV), particularly giant cell arteritis (GCA) Takayasu (TAK), has garnered attention significant morbidity mortality. Both involve immune-mediated vascular wall, despite differing in epidemiology presentation. Early identification crucial prevent complications like organ ischemia hemorrhage. Diagnostic accuracy can be hampered false negative results, making comprehensive investigation essential. Vascular imaging, including computed tomography angiography (CTA), ultrasound (US), magnetic resonance imaging (MRI), positron emission tomography-computed (PET-CT), key diagnosing vasculitis, revealing wall thickening other suggestive features. This article reviews typical atypical CT CTA findings LVV, discusses modalities, highlights their role management prognosis. emphasizes importance multidisciplinary approach critical radiologists improving patient outcomes LVV.

Language: Английский

Advances in PET Imaging of Large Vessel Vasculitis: An Update and Future Trends DOI Creative Commons
Kornelis S. M. van der Geest, Olivier Gheysens, Lars Christian Gormsen

et al.

Seminars in Nuclear Medicine, Journal Year: 2024, Volume and Issue: 54(5), P. 753 - 760

Published: March 27, 2024

Systemic vasculitides are autoimmune diseases characterized by inflammation of blood vessels. They categorized based on the size preferentially affected vessels: large-, medium-, and small-vessel vasculitides. The main forms large-vessel vasculitis include giant cell arteritis (GCA) Takayasu (TAK). Depending location vessels, various imaging modalities can be employed for diagnosis large vessel vasculitis: ultrasonography (US), magnetic resonance angiography (MRA), computed tomography (CTA), [

Language: Английский

Citations

18

A Machine Learning Model Based on Radiomic Features as a Tool to Identify Active Giant Cell Arteritis on [18F]FDG-PET Images During Follow-Up DOI Creative Commons

Hanne S. Vries,

Gijs D. van Praagh, P. H. Nienhuis

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(3), P. 367 - 367

Published: Feb. 4, 2025

Objective: To investigate the feasibility of a machine learning (ML) model based on radiomic features to identify active giant cell arteritis (GCA) in aorta and differentiate it from atherosclerosis follow-up [18F]FDG-PET/CT images for therapy monitoring. Methods: train ML model, 64 [18F]FDG-PET scans 34 patients with proven GCA control subjects type 2 diabetes mellitus were retrospectively included. The was delineated into ascending, arch, descending, abdominal aorta. From each segment, 95 extracted. All segments randomly split training/validation (n = 192; 80%) test set 46; 20%). In total, 441 models trained, using combinations seven feature selection methods, classifiers, nine different numbers features. performance assessed by area under curve (AUC). best performing compared clinical report nuclear medicine physicians 19 (7 GCA, 12 inactive GCA). For explainability, an occlusion map created illustrate important regions decision model. Results: ten-feature ANOVA as selector random forest classifier demonstrated highest (AUC 0.92 ± 0.01). Compared report, this showed higher PPV (0.83 vs. 0.80), NPV (0.85 0.79), accuracy (0.84 0.79) detection scans. Conclusions: current radiomics able This demonstrates potential monitoring tool challenging patients.

Language: Английский

Citations

0

Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation DOI
Patryk Rygiel, Dieuwertje Alblas, Christoph Brüne

et al.

Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 269 - 279

Published: Jan. 1, 2025

Citations

0

Long Axial Field of View PET/CT: Technical Aspects in Cardiovascular Diseases DOI Creative Commons
Tonantzin Samara Martínez-Lucio, Oscar Isaac Mendoza-Ibáñez, Wanling Liu

et al.

Seminars in Nuclear Medicine, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Positron emission tomography / computed (PET/CT) plays a pivotal role in the assessment of cardiovascular diseases (CVD), particularly context ischemic heart disease. Nevertheless, its application other forms CVD, such as infiltrative, infectious, or inflammatory conditions, remains limited. Recently, PET/CT systems with an extended axial field view (LAFOV) have been developed, offering greater anatomical coverage and significantly enhanced PET sensitivity. These advancements enable head-to-pelvis imaging single bed position, (FOV) approximately 2 meters, even total body (TB) is feasible scan session. The LAFOV CVD presents promising opportunity to improve systemic assessments address limitations inherent conventional short (SAFOV) devices. However, several technical challenges, including procedural considerations for complexities data processing, arterial input function extraction, artefact management, not fully explored. This review aims discuss aspects relation by highlighting key opportunities challenges examining impact these factors on evaluation most relevant CVD.

Language: Английский

Citations

1

Quantitative aortic Na[18F]F positron emission tomography computed tomography as a tool to associate vascular calcification with major adverse cardiovascular events DOI Creative Commons
Tom T. G. F. Lieverse, Gijs D. van Praagh, Douwe J. Mulder

et al.

European Journal of Nuclear Medicine and Molecular Imaging, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 19, 2024

Language: Английский

Citations

0

Imaging in Large Vessel Vasculitis—A Narrative Review DOI Open Access
Ioana Popescu, Roxana Pintican,

Luminita Cocarla

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(21), P. 6364 - 6364

Published: Oct. 24, 2024

Vasculitis refers to a group of rare conditions characterized by the inflammation blood vessels, affecting multiple systems. It presents diagnostic and therapeutic challenge due its broad clinical manifestations. is classified based on size affected vessels: small, medium, large, or variable-sized. Large vessel vasculitis (LVV), particularly giant cell arteritis (GCA) Takayasu (TAK), has garnered attention significant morbidity mortality. Both involve immune-mediated vascular wall, despite differing in epidemiology presentation. Early identification crucial prevent complications like organ ischemia hemorrhage. Diagnostic accuracy can be hampered false negative results, making comprehensive investigation essential. Vascular imaging, including computed tomography angiography (CTA), ultrasound (US), magnetic resonance imaging (MRI), positron emission tomography-computed (PET-CT), key diagnosing vasculitis, revealing wall thickening other suggestive features. This article reviews typical atypical CT CTA findings LVV, discusses modalities, highlights their role management prognosis. emphasizes importance multidisciplinary approach critical radiologists improving patient outcomes LVV.

Language: Английский

Citations

0