Insights into Imaging (Oct 2023)

Cardiovascular metrics on CT pulmonary angiography in patients with pulmonary hypertension — re-evaluation under the updated guidelines of pulmonary hypertension

  • Anqi Liu,
  • Wenqing Xu,
  • Linfeng Xi,
  • Mei Deng,
  • Haoyu Yang,
  • Qiang Huang,
  • Qian Gao,
  • Peiyao Zhang,
  • Wanmu Xie,
  • Zhenguo Huang,
  • Min Liu

DOI
https://doi.org/10.1186/s13244-023-01535-1
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 12

Abstract

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Abstract Purpose To re-assess cardiovascular metrics on computed tomography pulmonary angiography (CTPA) in predicting pulmonary hypertension (PH) under the 2022 ESC/ERS guidelines. Materials and methods This observational study retrospectively included 272 patients (female 143, mean age = 54.9 ± 12.5 years old) with suspected PH. 218 patients were grouped to evaluate cardiovascular metrics on CTPA and develop a binary logistic regression model. The other 54 patients were grouped into the validation group to assess the performance of the prediction model under the updated criteria. Based on mean pulmonary artery pressure (mPAP), patients were divided into three groups: group A consisted of patients with mPAP ≤ 20 mmHg, group B included patients with 20 mmHg 20 mmHg. Results The main pulmonary arterial diameter (MPAd), MPAd/ascending aorta diameter ratio (MPAd/AAd ratio), and right ventricular free wall thickness (RVFWT) showed significant differences among the three groups (p 20 mmHg • A binary logistic regression model (Z = − 12.98187 + 0.31053 MPAd + 1.04863 RVFWT) was developed and had a sensitivity, specificity, and accuracy of 92.7%, 76.9%, and 88.9% in predicting mPAP > 20 mmHg. • A binary logistic regression prediction model outperforms MPAd in predicting mPAP > 20 mmHg. Graphical Abstract

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