Evidence map›Paper›PMID 40782257›Full record

ArticleAbdominal radiology (New York)2026

MRI for prognosis prediction of T3-stage rectal cancer based on "DISTANCE" structural report.

Yuen Xie, Jiaqi Chen, Rui Song, Yehuan Tang, Peiyin Chen, Chongze Yang, Chengdi Deng, Hui Li, Jinyuan Liao, Liling Long

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Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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10 authors.

Yuen XieFirst Affiliated Hospital of GuangXi Medical University, Nanning, China.
Jiaqi ChenFirst Affiliated Hospital of GuangXi Medical University, Nanning, China.
Rui SongFirst Affiliated Hospital of GuangXi Medical University, Nanning, China.
Yehuan TangFirst Affiliated Hospital of GuangXi Medical University, Nanning, China.
Peiyin ChenFirst Affiliated Hospital of GuangXi Medical University, Nanning, China.
Chongze YangFirst Affiliated Hospital of GuangXi Medical University, Nanning, China.
Chengdi DengFirst Affiliated Hospital of GuangXi Medical University, Nanning, China.
Hui LiFirst Affiliated Hospital of GuangXi Medical University, Nanning, China.
Jinyuan LiaoFirst Affiliated Hospital of GuangXi Medical University, Nanning, China.
Liling LongFirst Affiliated Hospital of GuangXi Medical University, Nanning, China. cjr.longliling@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore whether magnetic resonance imaging (MRI) features, when employed with the MRI structural report "DISTANCE," allow the prediction of the overall survival (OS) and progression-free survival (PFS) of patients with T3-stage rectal cancer and to provide information for improved preoperative diagnosis and prognosis evaluation of T3-stage rectal cancer.

methodsThis is a retrospective analysis of 205 cases of T3-stage rectal cancer from January 2014 to January 2021. Univariate, multivariate, and LASSO Cox regression analyses were performed to identify prognostic factors, construct OS and PFS feature nomograms, evaluate the value of MRI features in predicting OS and PFS, and visualize their impact on OS and PFS using Kaplan-Meier survival curves.

resultsThe circumferential resection margin (CRM), obturator lymph node (Obturator N), extramural depth (EMD), maximum short axis of lymph node (maximum short axis of N), and mrEMVI were identified as independent predictors of OS and PFS. The nomogram model predicted the AUCs of OS at 2, 3, and 5 years as 0.806, 0.775, and 0.815, respectively, and those for PFS as 0.695, 0.729, and 0.726 at 2, 3, and 5 years, respectively.

conclusionThe CRM, EMD, Obturator N, maximum short axis of N, and mrEMVI from the MRI structural report "DISTANCE" should be employed for the prognosis prediction of T3-stage rectal cancer.

Indexed as

Magnetic Resonance ImagingRectal NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeoplasm StagingNomogramsPredictive Value of TestsPrognosisRetrospective StudiesMagnetic resonance imagingRectal cancerStructured reportSurvival analysisT3 stage

Identifiers

PMID40782257
PMCPMC12971759

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