Artificial intelligence chest CT imaging for the diagnosis of tuberculosis-destroyed lung with PH

Objective Explore the clinical characteristics of Tuberculosis Destroyed Lung (TDL) with pulmonary hypertension. Use Artificial Intelligence (AI) CT Imaging for the Diagnosis of TDL Patients with PH. Methods 51 cases of TDL patients. Based on the results of the right heart catheterization examination, the patients were divided into two groups: TDL with group (n = 31) and TDL Non-PH (n = 20). The original chest CT data of the patients were reconstructed, segmented, and rendered using AI, and lung volume-related data were calculated. The differences in clinical data, hemodynamic data, and lung volume-related data between the two groups of patients were compared. Results The proportion of TDL patients with PH is significantly higher than those without TDL (61.82 % vs. 22.64 %, P TDLT ) (P TDLT is positively correlated with mean pulmonary arterial pressure (mPAP). Combined Diagnosis (V TDLT + PSAP): The area under the AUC was 0.917 (95 %CI: 0.802-1), with a predicted probability of 0.51 and a Youden index of 0.789. The sensitivity was 90 % and specificity was 88.9 %. Conclusions Patients with TDL accompanied by pulmonary hypertension are related to restrictive disorders. The V TDLT is positively correlated with mPAP. By calculating the V TDLT and combining it with the estimated PASP from echocardiography, it assists in the diagnosis of PH in these patients.