Evidence map›Paper›PMID 41428048›Full record

ArticleAbdominal radiology (New York)2026

Preoperative prediction of microsatellite instability in gastric cancer using quantitative multiparametric MRI with DCE-MRI and DWI.

Xiao-Xue Wei, Zi-Tong Sang, Ya-Jun Hou, Wen-Wei Yu, Jie Xu, Qian-Yun Jiang, Yi-Cheng Hsu, Dominik Nickel, Qiu-Xia Feng, Na-Na Sun and 3 more

Abstract read
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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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Xiao-Xue WeiRadiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zi-Tong SangRadiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ya-Jun HouRadiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wen-Wei YuRadiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jie XuRadiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qian-Yun JiangRadiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yi-Cheng HsuMR Research Collaboration Team, Siemens Healthineers Ltd, Shanghai, China.
Dominik NickelMR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Qiu-Xia FengRadiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Na-Na SunRadiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qiong LiRadiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. njmu_lq@163.com.
Fei-Yun WuRadiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. wfy_njmu@163.com.
Xi-Sheng LiuRadiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. njmu_lxs@163.com.

Funding

National Natural Science Foundation of China 82071919Postgraduate Research & Practice Innovation Program of Jiangsu Province JX12314461Young Scholars Fostering Fund of the First Affiliated Hospital of Nanjing Medical University PY202413
6 · The paper itself

Abstract

purposeTo develop and validate a non-invasive preoperative predictive model utilizing quantitative parameters from dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted imaging (DWI) for determining microsatellite instability (MSI) status in gastric cancer.

methodsThis prospective study enrolled 244 patients with pathologically confirmed MSI status (30 MSI-H, 214 MSI-L/MSS), determined via immunohistochemistry. Two radiologists independently analyzed preoperative MRI blinded to clinicopathological results. Quantitative parameters were derived from DCE-MRI pharmacokinetic modeling (K

resultsSignificant differences in several parameters, including K

conclusionQuantitative parameters derived from DCE-MRI and DWI offer a non-invasive and effective approach for preoperatively predicting MSI-H status in gastric cancer, with potential clinical applications in personalized treatment planning.

Indexed as

Diffusion Magnetic Resonance ImagingMicrosatellite InstabilityMultiparametric Magnetic Resonance ImagingStomach NeoplasmsAdultAgedAged, 80 and overContrast MediaDynamic Contrast Enhanced Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedPredictive Value of TestsPreoperative CareProspective StudiesContrast MediaDiffusion-weighted imagingDynamic contrast-enhanced MRIGastric cancerMicrosatellite instabilityMultiparametric MRIPreoperative prediction

Identifiers

PMID41428048

What OpenQuestion holds

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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 OpenQuestion graph.