Evidence map›Paper›PMID 41209192›Full record

ArticleQuantitative imaging in medicine and surgery2025

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

Yue Yang, Rong Chen, Yaxi Yu, Jianxia Song, Min Wang, Dawei Wang, Xiuqing Hao, Shuqi Hao, Hua Su, Fei Yang

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Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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10 authors.

Yue YangGraduate School, Hebei North University, Zhangjiakou, China.
Rong ChenGraduate School, Hebei North University, Zhangjiakou, China.
Yaxi YuGraduate School, Hebei North University, Zhangjiakou, China.
Jianxia SongGraduate School, Hebei North University, Zhangjiakou, China.
Min WangGraduate School, Hebei North University, Zhangjiakou, China.
Dawei WangDepartment of Thoracic Surgery, the First Affiliated Hospital of Hebei North University, Zhangjiakou, China.
Xiuqing HaoDepartment of Pathology, the First Affiliated Hospital of Hebei North University, Zhangjiakou, China.
Shuqi HaoDepartment of Medical Imaging, the First Affiliated Hospital of Hebei North University, Zhangjiakou, China.
Hua SuDepartment of Reproductive Medicine, the First Affiliated Hospital of Hebei North University, Zhangjiakou, China.
Fei YangDepartment of Medical Imaging, the First Affiliated Hospital of Hebei North University, Zhangjiakou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The stability of deep vein thrombosis (DVT) is currently a hotspot and difficult point of research for scholars in various countries. This study aimed to explore the feasibility of predicting the stability of DVT based on energy spectrum computed tomography (CT). The primary objective is to determine whether energy spectrum CT parameters can predict DVT stability. The secondary objective is to evaluate the predictive value of individual/combined parameters of spectral CT for acute pulmonary embolism (APE) risk. Methods: Patients who underwent lower limb energy spectrum CT and were diagnosed with DVT and underwent computed tomography pulmonary angiography (CTPA) at the First Affiliated Hospital of Hebei North University from October 2023 to November 2024 were consecutively enrolled in this study. Overall, 63 patients with DVT were included and categorized into DVT combined with APE group (n=40) and DVT without APE group (n=23). The quantitative energy spectrum CT parameters were compared between the two groups, including 40 keV CT value, the slope of the energy spectrum curve (λ), effective atomic number (Eff-Z), concentrations of calcium-water [Ca(W)], water-calcium [W(Ca)], iodine-water [I(W)], water-iodine [W(I)], calcium-iodine [Ca(I)], and iodine-calcium [I(Ca)]. Results: The 40 keV CT value, λ, Eff-Z, and I(W) value were statistically different between the two groups (P<0.05). The 40 keV CT value, λ, Eff-Z, and I(W) value were independent predictors of combined APE in patients with DVT. The area under the curve of 40 keV CT value, λ, Eff-Z, and I(W) values for predicting the risk of APE in patients with DVT were 0.791 [95% confidence interval (CI): 0.681-0.901], 0.726 (95% CI: 0.592-0.860), 0.745 (95% CI: 0.620-0.869), and 0.739 (95% CI: 0.617-0.860), respectively, and the combined curve was 0.930 (95% CI: 0.868-0.992). The calibration curves showed that the combined curve of the energy spectrum CT parameters was better in predicting the risk of APE in patients with DVT. The decision curve showed that the combined curve of energy spectrum CT parameters had a high clinical application value. Conclusions: 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.

Indexed as

acute pulmonary embolism (APE)Deep vein thrombosis (DVT)energy spectrum computed tomography (energy spectrum CT)stability

Identifiers

PMID41209192
PMCPMC12591745

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