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RECURRENCE PROGNOSIS AND PREDICTION OF ADDED BENEFIT OF ADJUVANT CHEMOTHERAPY IN EARLY STAGE NON-SMALL CELL LUNG CANCER WITH RADIOMIC FEATURES ON BASELINE COMPUTED TOMOGRAPHY
RECURRENCE PROGNOSIS AND PREDICTION OF ADDED BENEFIT OF ADJUVANT CHEMOTHERAPY IN EARLY STAGE NON-SMALL CELL LUNG CANCER WITH RADIOMIC FEATURES ON BASELINE COMPUTED TOMOGRAPHY
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机译：基于基线X线摄影术的具有放射学特征的早期非小细胞肺癌早期放射治疗的辅助化疗的复发预测及预测
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摘要
Embodiments generate an early stage NSCLC recurrence prognosis, and predict added benefit of adjuvant chemotherapy. Embodiments include processors configured to access a radiological image of a region of tissue demonstrating early stage NSCLC; segment a tumor represented in the radiological image; define a peritumoral region based on a morphological dilation of a boundary of the tumor; extract a radiomic signature that includes a set of tumoral radiomic features extracted from the tumoral region, and a set of peritumoral radiomic features extracted from the peritumoral region, based on a continuous time to event data; compute a radiomic score based on the radiomic signature; compute a probability of added benefit of adjuvant chemotherapy based on the radiomic score; and generate an NSCLC recurrence prognosis based on the radiomic score. Embodiments may display the radiomic score, or generate a personalized treatment plan based on the radiomic score.
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