Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning

Table 4 Clinical classification performance of RSTM model

	Group	Number of cases (n, %)		Pathological results			P
	Group	Number of cases (n, %)		pCR (n, %)		Non-pCR (n, %)	P
Predict results of RSTM	Non-pCR		57 (68.68)		3 (5.26)	54 (94.74)	< 0.001*
Predict results of RSTM	pCR		26 (31.32)		19 (73.08)	7 (26.92)
Number of cases (n, %)			83 (100)		22 (26.5)	61 (73.5)

ISSN: 1471-2407