This research aims to develop and validate a nomogram for accurately predicting angiogenic microvascular patterns in non-small cell lung cancer (NSCLC).
Developed a nomogram integrating radiopathomics for NSCLC prediction.
Conducted validations across two centers to test its robustness and accuracy.
Utilized imaging and pathological data to characterize microvascular patterns.
The nomogram achieved high accuracy in predicting microvascular patterns.
Validation results demonstrated its robustness across different settings.
Abstract
The nomogram demonstrated high accuracy and robustness in predicting MVPs in NSCLC, offering a promising tool for characterizing the tumor microenvironment and supporting individualized treatment.