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Automated Quantitative Imaging Measurements of Disease Severity in Patients with Nonthrombotic Iliac Vein Compression

Publication Type:

Journal Article

Source:

J Vasc Interv Radiol, Volume 31, Number 2, p.270-275 (2020)

ISBN:

1535-7732

Accession Number:

31542272

URL:

https://web.stanford.edu/group/rubinlab/pubs/1-s2.0-S1051044319304282-main.pdf

Abstract:

An automated segmentation technique (AST) for computed tomography (CT) venography was developed to quantify measures of disease severity before and after stent placement in patients with left-sided nonthrombotic iliac vein compression.|Twenty-one patients with left-sided nonthrombotic iliac vein compression who underwent venous stent placement were retrospectively identified. Pre- and poststent CT venography studies were quantitatively analyzed using an AST to determine leg volume, skin thickness, and water content of fat. These measures were compared between diseased and nondiseased limbs and between pre- and poststent images, using patients as their own controls. Additionally, patients with and without postthrombotic lesions were compared.|The AST detected significantly increased leg volume (12,437 cm|ASTs can be used to quantify measures of disease severity and postintervention changes on CT venography for patients with lower extremity venous disease. Further investigation may clarify the clinical benefit of such technologies.