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

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.

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.

The proportion of TDL patients with PH is significantly higher than those without TDL (61.82 % vs. 22.64 %, P < 0.01). There were significant differences between the two groups of patients in terms of pulmonary function, PCWP/PVR, PASP/TRV and total volume of destroyed lung tissue (V_TDLT) (P < 0.05), and V_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 %.

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.