Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2026 Jan 28;51(1):150-157. doi: 10.11817/j.issn.1672-7347.2026.250571.
ABSTRACT
Pulmonary hypertension (PH) is a progressive disease characterized by elevated pulmonary arterial pressure, and its prognosis is closely associated with right ventricular (RV) function. Echocardiography, as a noninvasive and convenient imaging modality, plays an important role in the diagnosis of PH, etiological screening, assessment of RV function, and risk stratification. In response to the anatomical, physiological, and pathophysiological adaptive changes of the RV caused by PH, echocardiography demonstrates significant value in the detailed evaluation of both systolic and diastolic function. Noninvasive parameters such as the ratio of tricuspid annular plane systolic excursion to pulmonary artery systolic pressure (TAPSE/PASP) have also been confirmed to possess important prognostic value in assessing RV-pulmonary arterial (RV-PA) coupling. In addition, the application of artificial intelligence in echocardiographic analysis provides new tools for the early detection of PH and helps overcome limitations of conventional estimation methods. Current evidence indicates that a noninvasive right heart functional assessment system centered on echocardiography plays a central role in the management of PH. Future studies are required to further validate the performance of multiparametric combined models and to promote deeper integration of artificial intelligence technologies with clinical practice, thereby enabling earlier and more precise individualized diagnosis and treatment.
PMID:42032968 | DOI:10.11817/j.issn.1672-7347.2026.250571