Deep learning radiomic analysis in the prediction of MYCN status and survival outcome in children with neuroblastoma

Table 3 Kaplan-Meier analysis of histologically identified and nomogram model-predicted MYCN amplification for the prediction of long-term survival in neuroblastomas

Variable	Subgroup	Training database		Testing database		Log rank test
		Mean survival time	95%CI	Mean survival time	95%CI
Histological MYCN amplification1	Non-amplified	83.476	79.401-87.550	85.458	79.308-91.609	0.031
	Amplified	63.938	52.568-75.308	82.538	66.945-98.130
Predicted MYCN amplification2	Non-amplified	85.504	81.349-89.659	83.366	76.510-90.222	0.002
	Amplified	60.239	50.833-69.644	89.230	78.847-99.614

¹The histological MYCN amplification was identified by postoperative histopathological specimens.

²The predicted MYCN amplification was derived from two categories from the nomogram model-predicted probabilities based on the optimal Youden index of receiver-operating characteristic analysis, where the lower group indicated non-amplified MYCN status and the higher group indicated amplified MYCN status.

CI: Confidence interval.