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Chinese Journal of Colorectal Diseases(Electronic Edition) ›› 2021, Vol. 10 ›› Issue (04): 392-398. doi: 10.3877/cma.j.issn.2095-3224.2021.04.010

• Original Article • Previous Articles     Next Articles

Pretreatment outcome prediction of rectal cancer based on baseline pelvic MRI

Qing Zhao1, Hongmei Zhang1,()   

  1. 1. Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
  • Received:2021-07-23 Online:2021-08-30 Published:2021-09-17
  • Contact: Hongmei Zhang

Abstract:

Objective

To expror pretreatment prognostic factors in patients of MR-defined T3 stage locally advanced rectal cancer (mrT3-LARC) on the basis of baseline pelvic MRI, in order to promote indivadulized therapy and improve patient outcomes.

Methods

The clinical data of 157 patients of mrT3-LARC who received neoadjuvant chemoradiotherapy (NCRT) and radical surgery in our hospital from 2008 to 2012 were retrospectivly rereviewed, and their follow-up information were recorded as progression-free survival (PFS). Baseline pelvic MRI features were evaluated independently by two experienced radiologists and consensus was reached. Kaplan-Meier (K-M) survival curve and Cox analysis were performed using SPSS software.

Results

The ratio of male to female was about 2∶1, and the average age was (55±12) years. The median follow-up period was 6.6 (3.5~9.8) years. In K-M analysis, all the MRI features showed an effect on PFS, while age and sex did not. In Cox analysis, T3 substage (HR=7.36, P<0.001), EMVI grade (HR=2.72, P<0.001) and mucinous adenocarcinoma subtype (HR=2.36, P=0.024) as assessed by baseline MRI were proved to be independent risk factors for PFS in patients with mrT3-LARC.

Conclusion

Baseline pelvic MRI can independently predict survival risk in patients with mrT3- LARC, and accurate reporting can promote individualized treatment and improve patient outcomes.

Key words: Rectal neoplasms, MRI, Neoadjuvant chemoradiotherapy, Survival analysis

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