Evaluation of the stability of deep vein thrombosis based on computed tomography energy spectrum

The quantitative parameters of 40 keV CT value, λ, Eff-Z, and I(W) value derived on energy spectrum CT can be used as independent predictors of the risk of APE in patients with DVT, and the combined use of the energy spectrum parameters had valuable predictive performance for the risk of APE.

Authors

Institutions

Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-10-29
DOI
https://doi.org/10.21037/qims-2025-20
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the stability of deep vein thrombosis based on computed tomography energy spectrum

Fei Yang, Xiuqing Hao, Hua Su, Min Wang et al.
Quantitative Imaging in Medicine and Surgery
Advanced X-ray and CT Imaging
article

Evaluation of the stability of deep vein thrombosis based on computed tomography energy spectrum

Fei Yang, Xiuqing Hao, Hua Su, Min Wang, Rong Chen, Dawei Wang, Jin Song, Yue Yang, S.-P. Hao, Yaxi Yu
article en

Abstract

The quantitative parameters of 40 keV CT value, λ, Eff-Z, and I(W) value derived on energy spectrum CT can be used as independent predictors of the risk of APE in patients with DVT, and the combined use of the energy spectrum parameters had valuable predictive performance for the risk of APE.

Quantitative Imaging in Medicine and SurgeryVol. 15(11)
Hebei North University (CN)
Openalex Percentile: Top 69%
Advanced X-ray and CT Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.