Advances in diagnostic imaging and analysis of deep vein thrombosis
YU Yaxi
SONG Jianxia
WANG Min
YANG Fei
Abstract：Deep vein thrombosis(DVT)is a condition caused by abnormal blood clotting within deep veins.As a common peripheral vascular disease,its annual incidence rate is approximately 0.1%.DVT fragments can easily lead to pulmonary embolism.Additionally,approximately 20%-50%of patients develop post-thrombotic syndrome later on,severely impacting their quality of life.Therefore,early recognition and management of DVT are crucial for preventing complications such as pulmonary embolism.This review summarizes various imaging diagnostic techniques for DVT,including DSA,US,CT,and MRI,alongside deep learning-based medical image analysis methods for thrombus detection.The aim is to provide evidence-based guidance for DVT prevention and treatment.
Keywords：deep vein thrombosismedical imaging methodsimage segmentationdeep learning
Publication Date：2025-11-20
Online Publishing Date：2025-12-16(First online date of this platform, not the publication date of the document)
Pages：4( 1446-1449 )