APA (7th ed.) Citation

C, W., W, W., D, Z., M, D., L, H., J, Z., . . . X, H. (2026). Capturing "source" and "evolution": A 5-year recurrence risk prediction model for nasopharyngeal carcinoma based on integrated radiomic spatial heterogeneity of primary tumor and lymph nodes. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 220, 111552. https://doi.org/10.1016/j.radonc.2026.111552

Chicago Style (17th ed.) Citation

C, Wang, et al. "Capturing "Source" and "Evolution": A 5-year Recurrence Risk Prediction Model for Nasopharyngeal Carcinoma Based on Integrated Radiomic Spatial Heterogeneity of Primary Tumor and Lymph Nodes." Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology 220 (2026): 111552. https://doi.org/10.1016/j.radonc.2026.111552.

MLA (9th ed.) Citation

C, Wang, et al. "Capturing "Source" and "Evolution": A 5-year Recurrence Risk Prediction Model for Nasopharyngeal Carcinoma Based on Integrated Radiomic Spatial Heterogeneity of Primary Tumor and Lymph Nodes." Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology, vol. 220, 2026, p. 111552, https://doi.org/10.1016/j.radonc.2026.111552.

Warning: These citations may not always be 100% accurate.