Evidence map›Paper›PMID 40387910›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

First clinical investigation to predict lymphovascular and/or perineural invasion in gastric cancer using

Lilan Fu, Fei Xie, Penghui Sun, Ye Dong, Kemin Zhou, Li Jiang, Ruihe Wu, Yanjiang Han, Hubing Wu, Ganghua Tang and 1 more

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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.

Lilan Fu *Department of Nuclear Medicine, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Fei Xie *Department of Nuclear Medicine, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Penghui SunDepartment of Nuclear Medicine, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Ye DongDepartment of Nuclear Medicine, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Kemin ZhouDepartment of Nuclear Medicine, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Li JiangDepartment of Nuclear Medicine, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Ruihe WuDepartment of Nuclear Medicine, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yanjiang HanDepartment of Nuclear Medicine, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Hubing WuDepartment of Nuclear Medicine, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China. wuhbym@163.com.
Ganghua TangDepartment of Nuclear Medicine, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China. gtang0224@smu.edu.cn.
Wenlan ZhouDepartment of Nuclear Medicine, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China. wenlanzhou@163.com.ORCID 0000-0001-9056-4835

Funding

Clinical Research Program of Nanfang Hospital, Southern Medical University 2021CR024Ganzhou Municipal Science and Technology Project GZ2024YLJ035Guangdong Basic and Applied Basic Research Foundation 2022A1515110051Guangdong Basic and Applied Basic Research Foundation 2024A1515010124President Foundation of Nanfang Hospital, Southern Medical University 2021C021President Foundation of Nanfang Hospital, Southern Medical University 2023A028
6 · The paper itself

Abstract

objectiveThis study was conducted to explore the predictive value of PET parameters derived from

methods72 GC patients who underwent

resultsUnivariate analysis indicated a significant association between LVI/PNI status and PET parameters (SUVmax, SUVmean, and TBR) (all p < 0.001). The area under the ROC curve (AUC) values for predicting LVI/PNI were 0.932 [95% CI (0.877-0.987)] for SUVmax, 0.923 [95% CI (0.861-0.984)] for SUVmean, and 0.925 [95% CI (0.865-0.985)] for TBR. The optimal cutoff values for prediction, along with their corresponding sensitivity and specificity, were 3.86 (93.3% and 81.5%) for SUVmax, 2.04 (93.3% and 81.5%) for SUVmean, and 9.75 (91.1% and 81.5%) for TBR. Multivariate analysis identified histological grade and SUVmax as independent risk factors for LVI/PNI prediction. Our nomogram had good discriminatory ability (AUC = 0.934) and offered net benefits in predicting LVI/PNI status by DCA.

conclusionThis study demonstrates that FAPI uptake parameters exhibit an exceptionally high capacity and serve as a noninvasive preoperative tool for predicting LVI/PNI status in GC, with SUVmax emerging as the most suitable predictive indicator.

Indexed as

NomogramsStomach NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedNeoplasm InvasivenessPositron Emission Tomography Computed TomographyPredictive Value of TestsRadiopharmaceuticalsRetrospective StudiesROC CurveRadiopharmaceuticalsFibroblast activating protein inhibitorGastric cancerLymphovascular invasionPerineural invasionPositron emission tomography

Identifiers

PMID40387910

What OpenQuestion holds

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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.