Artificial intelligence improves detection and classification of pulmonary venous hypertension related to left ventricular diastolic dysfunction by chest radiography.

ABSTRACT: Isolated-Left Ventricular Diastolic Dysfunction [LVDD] ranges (and may progress) from preclinical asymptomatic, symptomatic-LVDD, to LVDD-predominate Heart Failure [HF] presentations; if recognized early, LVDD progression might be preventable. Current early-HF screening remains limited, providing opportunities for insights from a standard Chest X-Ray [CXR]. While CXR assessment for "pulmonary congestion" supports suspected-HF evaluation in evidence-based guidelines, the potential for systematic Pulmonary Venous Hypertension [PVH]-Staging to contribute to initial detection and scaling of LVDD is unclear. This study compared CXR-based PVH-Staging to Doppler Echocardiography [DEcho]-based LVDD-Grading in the absence of systolic dysfunction. Questions included: (1) With PVH-Staging performed b

SUBMITTER: White RD 

PROVIDER: S-EPMC12579234 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature