Zhao L, Liang M, Xie L, Yang Y, Zhang H, Zhao X. Prediction of pathological prognostic factors of rectal cancer by relaxation maps from synthetic magnetic resonance imaging.
Eur J Radiol 2021;
138:109658. [PMID:
33744506 DOI:
10.1016/j.ejrad.2021.109658]
[Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/09/2021] [Accepted: 03/14/2021] [Indexed: 12/18/2022]
Abstract
PURPOSE
To explore the feasibility of relaxation maps from synthetic MRI for predicting pathological prognostic factors of rectal cancer (RC) and to compare the predictive performance of quantitative values and conventional subjective evaluation.
MATERIAL AND METHODS
A total of 94 patients with pathologically proven RC who underwent direct surgical resection were enrolled in this prospective study. Preoperative rectal MRI including synthetic MRI was performed. The mean T1, T2, and PD value of the whole tumor was obtained to preoperatively assess the pathological T stage, N stage, extramural venous invasion (EMVI), differentiation, and perineural invasion. Receiver operating characteristic curves were used to explore the predictive performance for assessing the prognostic factors. The T stage, N stage and EMVI status on conventional T2WI were evaluated and compared with the quantitative values.
RESULTS
The T2 value decreased significantly in patients with positive perineural invasion, lymph node metastasis (LNM), EMVI, and higher T stage RC (p = 0.007 and < 0.001). The T1 value of LNM and EMVI positive groups was significantly lower than those of the negative groups (p = 0.034 and 0.011). For predicting N stage and EMVI, the T2 value demonstrated good performance with an AUC of 0.883 (95 % confidence interval, CI, 0.801-0.940) and 0.821 (95 % CI, 0.729-0.893); the T2 value was superior to the T1 value and subjective evaluation of radiologists (all p < 0.05).
CONCLUSION
Synthetic MRI is a promising tool for noninvasive evaluation of prognostic factors of RC by generating relaxation maps.
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