Skip to main content
Fig. 7 | BMC Cancer

Fig. 7

From: Novel model integrating computed tomography-based image markers with genetic markers for discriminating radiation pneumonitis in patients with unresectable stage III non-small cell lung cancer receiving radiotherapy: a retrospective multi-center radiogenomics study

Fig. 7

Predictive performance and calibration curve. (A) Predictive performance evaluation of each model for predicting grade ≥ 2 RP. The nomogram model shows superior prediction ability (AUC = 0.827) compared wtih the histology (AUC = 0.594), Rad-score (AUC = 0.738), and XRCC1 (rs25487) (AUC = 0.641) model. (B) Calibration curve of the nomogram model is presented as a solid line. The diagonal dashed line indicates perfect agreement. (C) Decision curves showing that the nomogram model to predict grade ≥ 2 RP probability has a greater benefit than any single model. RP: radiation pneumonitis, AUC: area under the curve

Back to article page

BMC Cancer

ISSN: 1471-2407

Contact us