EJNMMI Research

Table 2 The performance comparison of different models

From: ¹⁸F-FDG-PET/CT-based deep learning model for fully automated prediction of pathological grading for pancreatic ductal adenocarcinoma before surgery

Models	Cohorts	AUC	ACC	SENS	SPEC	PPV	NPV
PET/CT	Train	0.99	0.97	0.97	0.97	0.97	0.96
	Val	0.72	0.73	0.72	0.74	0.75	0.70
	Test	0.74	0.72	0.73	0.72	0.72	0.72
Clinical	Train	0.95	0.91	0.90	0.91	0.92	0.89
	Val	0.68	0.67	0.66	0.69	0.75	0.59
	Test	0.68	0.66	0.67	0.66	0.69	0.63
PET/CT + Clinical	Train	0.99	0.98	0.98	0.97	0.98	0.98
	Val	0.73	0.76	0.75	0.76	0.78	0.73
	Test	0.77	0.75	0.77	0.73	0.73	0.76

AUC, area under receiver operating characteristic curve; ACC, accuracy; SENS, sensitivity; SPEC, specificity; PPV, positive predictive value; NPV, negative predictive value

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