New frontiers in hepatocellular carcinoma: Precision imaging for microvascular invasion prediction

Table 1 Microvascular invasion status prediction model performance[1]

Dataset	AUC (95%CI)	Sensitivity (%)	Specificity (%)	Accuracy (%)	Calibration (χ²)	P value
Training (n = 189)	0.841 (0.783-0.898)	88.8	64.4	79.4	8.327	0.402
Validation (n = 81)	0.768 (0.664-0.872)	80.9	61.8	72.8	12.804	0.119

AUC: Area under the curve. Citation: Xu ZL, Qian GX, Li YH, Lu JL, Wei MT, Bu XY, Ge YS, Cheng Y, Jia WD. Evaluating microvascular invasion in hepatitis B virus-related hepatocellular carcinoma based on contrast-enhanced computed tomography radiomics and clinicoradiological factors. World J Gastroenterol 2024; 30: 4801-4816.