Chest Computed Tomography-Based Radiomics for the Diagnosis and Prognosis of Pulmonary Hypertension.

This enhancement in predictive accuracy was further corroborated by likelihood ratio tests, which showed highly significant improvements when comparing the LRC_JM model to the TRV model (χ 2 (9)=38.584, P <0.001) and the PA/AO model (χ 2 (9)=258.273, P <0.001), confirming that the incorporation of radiomic features adds statistically significant incremental prognostic value beyond conventional parameters.

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The joint model showed higher time‐dependent AUC values compared with the 2022 European Society of Cardiology 4‐strata tool for both 1‐year (AUC, 0.674 [95% CI, 0.545–0.746] versus 0.612 [95% CI, 0.502–0.712]; see Table 3 ) and 2‐year outcomes (AUC, 0.798 [95% CI, 0.756–0.980] versus 0.717 [95% CI, 0.572–0.843]); however, these differences did not reach statistical significance on DeLong’s test ( P =0.4825 and P =0.3647, respectively; see Table S11 ).

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