Evidence map›Paper›PMID 41186711›Full record

ArticleAbdominal radiology (New York)2026

Development and validation of CT-based nomograms for predicting recurrence and prognosis in gastrointestinal stromal tumor.

Cai-Wei Yang, Xi Yu, Feng Che, Xin Zhang, Xi-Jiao Liu, Bin Song

Abstract readValidation Study
PubMed Publisher
In one paragraph

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. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Cai-Wei Yang *Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, China.
Xi Yu *Department of Radiology, Deyang People's Hospital, Deyang, China.
Feng CheFunctional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China.
Xin ZhangPudong new town, No1, Huatuo road, GE Healthcare, Shanghai, China.
Xi-Jiao LiuFunctional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China.
Bin SongFunctional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China. songlab_radiology@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study analyzed preoperative CT features and postoperative pathological factors to predict recurrence after curative resection in primary gastrointestinal stromal tumor (GIST) and evaluate the prognostic validity of adjuvant therapy.

methodsWe retrospectively examined 718 patients with pathologically confirmed primary GISTs (mean age 57 ± 12.1 years; range, 14-86 years; 368 males, 350 females), who underwent R0 resection across two hospitals (internal set: n = 624; external set: n = 94). The internal set was randomly divided into training (n = 437) and validation cohorts (n = 187). Predictive efficacy of our nomogram was compared with the modified National Institutes of Health (MNIH) criterion using Kaplan-Meier analysis and multivariable Cox regression for recurrence-free survival (RFS).

resultsFor recurrence prediction, AUC values for the CT model, combined nomogram (integrating CT features and pathological features), and MNIH criterion were 0.867/0.786/0.917 (training/validation/external test) and 0.890/0.810/0.953 versus 0.791/0.739/0.894, respectively. The combined nomogram demonstrated superior efficacy to the MNIH criterion across most probability thresholds (P < 0.001). The prognostic nomogram stratified patients into 'high-recurrence' and 'low-recurrence' groups with significantly divergent RFS. In the training cohort, the 1-, 3-, 5-, and 7-year RFS rates of these two groups were 95.9%, 85%, 73.5%, and 62.2% versus 100%, 99%, 95.5%, and 95.5%, respectively (P < 0.001). In the validation and external test cohorts, the nomograms were still significantly efficient (P < 0.001).

conclusionsThe combined nomogram provides improved noninvasive prediction of GIST recurrence and prognosis compared to the MNIH criterion.

trial registrationApproved by the Institutional Review Board of West China Hospital, Sichuan University (No. 2020-249).

Indexed as

Gastrointestinal NeoplasmsGastrointestinal Stromal TumorsNeoplasm Recurrence, LocalNomogramsTomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesComputed tomographyGastrointestinal stromal tumorsRecurrenceRecurrence-free survival

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.