Magnetic resonance imaging-based deep-learning radiomics score for survival prediction and risk stratification in pediatric hepatoblastoma receiving surgical resection

Table 4 Kaplan-Meier analysis of deep learning-based radiomics score stratified by significant clinical variables for prognostication of event-free survival in the training and testing cohorts of hepatoblastoma patients receiving surgical resection

Variable	DLBR score group	Training dataset			Testing dataset
		Mean survival time, month	95%CI, month	Log-rank test	Mean survival time, month	95%CI, month	Log-rank test
DLBR score				< 0.001			< 0.001
Low score	/	104.83	93.85-115.81		106.73	94.27-119.19
High score	/	71.58	58.61-84.55		61.74	46.55-76.92
PRETEXT stage				< 0.001			< 0.001
I + II	Low score	107.21	96.65-117.78	0.005	111.95	102.30-121.61	< 0.001
	High score	84.64	65.49-103.79		73.50	50.16-96.84
III	Low score	93.30	71.48-115.12	0.012	93.63	69.51-117.74	0.003
	High score	63.11	46.49-79.74		53.88	34.40-73.37
Serum AFP concentration				< 0.001			< 0.001
≤ 1000 ng/mL	Low score	106.58	95.37-117.79	0.021	111.95	102.30-121.61	0.001
	High score	87.12	66.36-107.89		73.58	47.39-99.78
> 1000 ng/mL	Low score	96.10	76.09-116.12	0.005	93.63	69.51-117.74	0.003
	High score	63.58	47.69-79.46		55.32	36.93-73.71

PRETEXT: 2017 PRE-Treatment EXTent of tumor; AFP: Alpha-fetoprotein; DLBR: Deep learning-based radiomics; CI: Confidence interval.