Fully automated Bayesian analysis for quantifying the extent and distribution of pulmonary perfusion changes on CT pulmonary angiography in CTEPH

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F25%3A10498418" target="_blank" >RIV/00064165:_____/25:10498418 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/25:10498418 RIV/00216208:11130/25:10498418 RIV/00216305:26220/26:0198275 RIV/00064203:_____/25:10498418

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=6n-XbHvtq-" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=6n-XbHvtq-</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00330-025-11678-y" target="_blank" >10.1007/s00330-025-11678-y</a>

Result language

angličtina

Original language name

Fully automated Bayesian analysis for quantifying the extent and distribution of pulmonary perfusion changes on CT pulmonary angiography in CTEPH

Original language description

OBJECTIVES: This work aimed to develop an automated method for quantifying the distribution and severity of perfusion changes on CT pulmonary angiography (CTPA) in patients with chronic thromboembolic pulmonary hypertension (CTEPH) and to assess their associations with clinical parameters and expert annotations. MATERIALS AND METHODS: Following automated segmentation of the chest, a machine-learning model assuming three distributions of attenuation in the pulmonary parenchyma (hyperemic, normal, and oligemic) was fitted to the attenuation histogram of CTPA images using Bayesian analysis. The proportion of each component, its spatial heterogeneity (entropy), and center-to-periphery distribution of the attenuation were calculated and correlated with the findings on CTPA semi-quantitatively evaluated by radiologists and with clinical function tests. RESULTS: CTPA scans from 52 patients (mean age, 65.2 +- 13.0 years; 27 men) diagnosed with CTEPH were analyzed. An inverse correlation was observed between the proportion of normal parenchyma and brain natriuretic propeptide (proBNP, ρ = -0.485, p = 0.001), mean pulmonary arterial pressure (ρ = -0.417, p = 0.002) and pulmonary vascular resistance (ρ = -0.556, p &lt; 0.0001), mosaic attenuation (ρ = -0.527, p &lt; 0.0001), perfusion centralization (ρ = -0.489, p = &lt; 0.0001), and right ventricular diameter (ρ = -0.451, p = 0.001). The entropy of hyperemic parenchyma showed a positive correlation with the pulmonary wedge pressure (ρ = 0.402, p = 0.003). The slope of center-to-periphery attenuation distribution correlated with centralization (ρ = -0.477, p &lt; 0.0001), and with proBNP (ρ = -0.463, p = 0.002). CONCLUSION: This study validates an automated system that leverages Bayesian analysis to quantify the severity and distribution of perfusion changes in CTPA. The results show the potential of this method to support clinical evaluations of CTEPH by providing reproducible and objective measures. KEY POINTS: Question This study introduces an automated method for quantifying the extent and spatial distribution of pulmonary perfusion abnormalities in CTEPH using variational Bayesian estimation. Findings Quantitative measures describing the extent, heterogeneity, and distribution of perfusion changes demonstrate strong correlations with key clinical hemodynamic indicators. Clinical relevance The automated quantification of perfusion changes aligns closely with radiologists&apos; evaluations, delivering a standardized, reproducible measure with clinical relevance.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30224 - Radiology, nuclear medicine and medical imaging

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

European Radiology

ISSN

0938-7994

e-ISSN

1432-1084

Volume of the periodical

35

Issue of the periodical within the volume

11

Country of publishing house

DE - GERMANY

Number of pages

8

Pages from-to

6996-7003

UT code for WoS article

001498335900001

EID of the result in the Scopus database

2-s2.0-105007079831