Method for predicting small cell lung cancer immunotherapy effect based on CT radiomics

• Main Authors: ZHANG SHENG, ZHOU RUI, CHEN QUAN, WANG XIAOHUI, DONG XIAORONG
• Format: Patent
• Language: Chinese; English
• Published: 28.03.2025
• Subjects: CALCULATING; COMPUTING; COUNTING; DIAGNOSIS; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEDICAL OR VETERINARY SCIENCE; PHYSICS; SURGERY

The invention discloses a method for predicting small cell lung cancer immunotherapy effect based on CT radiomics. The method comprises the following steps: firstly, carrying out lung enhancement CT scanning on a small cell lung cancer patient receiving immunotherapy before and after treatment, extracting radiomics characteristics and calculating delta-RF; in the aspect of model construction, 1037 radiomics features are extracted, and the model is constructed through a series of processing. The model display includes a variety of predictive indicators, such as an overall lifetime (OS), a progression-free lifetime (PFS), a complete remission (CR), a partial remission (PR), a column diagram, a consistency index, a subject working characteristic curve and its underlying area, a calibration curve, and a clinical decision curve. The model has a high C index and an AUC value for PFS and OS prediction, the AUC for curative effect prediction is 0.913, and a calibration curve is close to an ideal line. Compared with a