Predicting pathological complete response to chemoradiotherapy using artificial intelligence-based magnetic resonance imaging radiomics in esophageal squamous cell carcinoma

Table 3 Univariate and multivariate Cox regression analyses for relapse-free survival

	Univariate			Multivariate
	HR	95%CI	P value	HR	95%CI	P value
Radiomics features
ADC skewness	0.42	0.16-1.09	0.076
GLCM entropy (b = 1000 second/mm²)	0.25	0.11-0.56	0.001	0.32	0.14-0.75	0.009
GLCM autocorrelation (b = 0 second/mm²)	2.00	0.61-6.57	0.25
Skewness (b = 0 second/mm²)	0.60	0.29-1.22	0.16
Kurtosis (b = 0 second/mm²)	0.76	0.37-1.54	0.45
Pathological features
pT3 vs pT0-2	1.08	0.54-2.18	0.82
pN + vs pN -	3.14	1.48-6.63	0.003	2.20	1.00-4.80	0.042
Grade 3 or 2 vs grade 1	0.50	0.25-1.01	0.054

ADC: Apparent diffusion coefficient; GLCM: Gray-level co-occurrence matrix; pN: Positive lymph node status; HR: Hazard ratio; CI: Confidence interval.