ArticleQuantitative imaging in medicine and surgery2025
Artificial intelligence-driven quantitative analysis of CT morphological differences between chronic thromboembolic pulmonary hypertension and chronic thromboembolic disease.
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. Cited by 5 papers, 1 of them a synthesis that pooled it.
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5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence in Cardiovascular Medicine: Focus on Hypertension.Hypertension (Dallas, Tex. : 1979) · 2026Pooled it
- Artificial Intelligence and Multi-Omics Approaches in the Precision Management of Pulmonary Hypertension: From Early Diagnosis to Therapeutic Stratification.International journal of molecular sciences · 2026Review
- Quantitative imaging features of pulmonary artery involvement in Takayasu arteritis on computed tomography pulmonary angiography in patients with and without pulmonary hypertension.Quantitative imaging in medicine and surgery · 2026Article
- Clinical research on pulmonary hypertension from a 2025 perspective: a narrative review.Journal of thoracic disease · 2026Review
- Unenhanced CT quantitative vascular morphometry for detecting central pulmonary embolism: a multicenter study.Quantitative imaging in medicine and surgery · 2026Article
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13 authors.
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Abstract
Background: The morphological differences in the pulmonary vascular tree between chronic thromboembolic pulmonary hypertension (CTEPH) and chronic thromboembolic disease (CTED) are not yet fully understood. This study aimed to use artificial intelligence (AI) segmentation technology to identify morphological markers that can be used to differentiate CTEPH from CTED using computed tomography pulmonary angiography (CTPA). Methods: We conducted a retrospective cohort study with consecutive patients diagnosed with CTEPH, CTED, and control subjects at the China-Japan Friendship Hospital from January 2019 to October 2023. The study involved the automatic quantification of the pulmonary blood volume (BV), tortuosity, and fractal dimension (FD) from CTPA images using an AI workstation. These morphological metrics were compared among the three groups using the Kruskal-Wallis test. Correlations between these metrics and the hemodynamic parameters were evaluated using Spearman's rank correlation coefficients. Additionally, a receiver operating characteristic (ROC) curve analysis was conducted to assess the discriminative ability of pulmonary artery tortuosity to differentiate between each pair of groups. Results: A total of 190 participants [57 years, interquartile range (IQR), 49-65 years, 97 men], including 116 CTEPH patients, 54 CTED patients, and 20 controls, were enrolled in this study. Pulmonary artery tortuosity in the control, CTED, and CTEPH groups showed a progressively increasing trend [1.07 (IQR, 1.06-1.10) Conclusions: Pulmonary arterial tortuosity on CTPA had auxiliary diagnostic value in differentiating between CTEPH patients and controls, but its value in differentiating between CTED and CTEPH patients requires further study. The reduced volume of small- and medium-sized pulmonary arteries in CTEPH patients could indicate impaired pulmonary hemodynamics.
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