Evidence map›Paper›PMID 40506639›Full record

ArticleEuropean radiology2025

Predictive value of [

Wei Guo, Hao Jiang, Chunan Wang, Yanmei Wang, Menglu Wang, Xinyu Yang, Yue Zhao, Zhiyun Jiang, Abiyasi Nanding, Liang Cheng and 1 more

Abstract read
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In one paragraph

Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
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

11 authors.

Wei Guo *Department of PET/CT-MR, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Hao Jiang *Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Chunan WangDepartment of PET/CT, Harbin the First Hospital, Harbin, China.
Yanmei WangDepartment of Molecular Imaging, GE HealthCare, Beijing, China.
Menglu WangDepartment of PET/CT-MR, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Xinyu YangDepartment of PET/CT-MR, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Yue ZhaoDepartment of PET/CT-MR, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Zhiyun JiangDepartment of Radiology, Harbin Medical University Cancer Hospital, Harbin, China.
Abiyasi NandingDepartment of Pathology, Harbin Medical University Cancer Hospital, Harbin, China.
Liang ChengDepartment of PET/CT-MR, Harbin Medical University Cancer Hospital, Harbin, 150081, China. 3663@hrbmu.edu.cn.
Kezheng WangDepartment of PET/CT-MR, Harbin Medical University Cancer Hospital, Harbin, 150081, China. wangkezheng9954001@163.com.ORCID http://orcid.org/0000-0001-8776-5812

Funding

Key Innovation Technology Project Harbin Medical University Cancer Hospital Innovation Technology Funding CXJSZD-2023-04Key Project of Harbin Medical University Cancer Hospital Climbing Funding PDYS2024-03Key Research and Development Program of Heilongjiang Province GA21C001National Natural Science Foundation of China 82302185Postgraduate Research & Practice Innovation Program of Harbin Medical University YJSCX2024-56HYD
6 · The paper itself

Abstract

objectivesTo investigate [ MATERIALS AND

methods[

resultsAmong 182 CRC patients, 34 (18.7%) exhibited MSI-H, and progression was detected in 48 (26.4%) patients. The difference in CEA levels, tumour differentiation, pTNM, SUVmax, MTV, and IMH index between the two groups was statistically significant and correlated with MSI-H. Higher MTV and IMH indices independently correlated with MSI-H. Meanwhile, most clinicopathologic characteristics and PET-derived parameters were significant for predicting postoperative progression in the overall cohort and MSS subgroup patients, but not in the MSI-H group. Tumour differentiation, mucinous component, and IMH index were identified as independent predictors of progression-free survival for the MSS subgroup. In contrast, only poor/moderate-poor differentiation was associated with progression in the MSI-H group, with none of the PET-derived parameters showing statistical significance.

conclusionThe PET-derived parameters demonstrated promising performance in predicting MSI status in CRC patients and stratifying prognosis in the MSS subgroup. However, these parameters were unable to predict progression risk in MSI-H patients. KEY POINTS: Question Can PET-derived parameters offer a safe and non-invasive method to predict microsatellite instability (MSI) status in colorectal cancer (CRC) patients and enhance prognostic stratification? Findings MSI-H CRC exhibited higher [18 F]FDG uptake and intratumoural metabolic heterogeneity compared with microsatellite stability (MSS) tumours, and PET-derived parameters can stratify the progression of CRC patients with MSS but not in MSI-H tumours. Clinical relevance Our study provides a non-invasive method based on PET-derived parameters to predict MSI status and enhance prognostic stratification of CRC patients with MSS, whereas the degree of [18 F]FDG uptake may not reflect the disease progression risk of MSI-H tumours.

Indexed as

Colorectal NeoplasmsFluorodeoxyglucose F18Microsatellite InstabilityPositron Emission Tomography Computed TomographyAdultAgedAged, 80 and overDisease ProgressionFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18RadiopharmaceuticalsColorectal cancerFluorodeoxyglucose F18Microsatellite instabilityPositron-emission tomographyPrognosis

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Registered trials

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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.