• Qinglin Liu, Lei Feng, Hao Xue, Wandong Su, and Gang Li.
• Department of Neuroradiology, Beijing Neurosurgical Institute & Beijing Tiantan Hospital, Capital Medical University, Beijing.
• Medicine (Baltimore). 2020 Mar 1; 99 (10): e19199.

AbstractNeuroblastoma is the most prevalent malignancy in infants characterized by heterogeneous prognosis. It is critical to stratify the risks for patients with neuroblastoma. To stratify the risks for neuroblastoma, clinical characteristics of neuroblastoma patients were retrieved from the Therapeutically Applicable Research to Generate Effective Treatment program. All patients were randomly sampled into the development and validation sets. Cox regression was used to construct a prediction nomogram. The discrimination and calibration capacity of the nomogram was assessed. Prognostic index (PI) was calculated and tested to evaluate the performance of the nomogram. This nomogram demonstrated reasonable discrimination and calibration capacity. The nomogram derived PI exhibited acceptable accuracy in predicting the prognosis for neuroblastoma patients. The overall survival rate was significantly different between the PI discriminated high and low-risk patient subgroups. In conclusion, besides traditional staging systems, some newly defined risk factors could be involved in risk stratification for patients with neuroblastoma. Our nomogram may aid the risk stratification for neuroblastoma patients.

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