Evidence map›Paper›PMID 39690282›Full record

ArticleAbdominal radiology (New York)2025

Dual-energy CT for predicting serosal invasion in gastric cancer and subtype analysis.

Wan Yang, Hua Shi, Ming Li, Xiangmei Qiao, Lin Li, Song Liu

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In one paragraph

Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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. Review
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

6 authors.

Wan Yang *Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, 210008, China.
Hua Shi *Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, 210008, China.
Ming Li *Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, 210008, China.
Xiangmei QiaoDepartment of Ultrasound, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Jiangsu Province, 210008, Nanjing, China.
Lin Li *Department of Pathology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, 210008, China. lilinpathology@163.com.
Song Liu *Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, 210008, China. liusongnj@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo predict the serosal invasion of gastric cancer (GC) using dual-energy CT (DECT)-based parameters and analyze the diagnostic performance according to different subtypes.

methodsThe patients were divided into the T1-3 group and T4a group. The irregular region of interest (ROI) was manually delineated on the largest cross-section of the lesion. The ROI area, iodine concentration (IC), normalized iodine concentration (nIC), fat fraction, CT value mean, and standard deviation were measured in the late arterial (LAP) and venous phase (VP). The Mann-Whitney U test was used to assess differences between different T-stage groups and histopathological subtypes of GC. A model was established based on DECT parameters, and the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance.

resultsPreliminary analysis showed that there were significant differences in ROI area, IC, nIC and CT value mean in VP and ROI area in LAP between T1-3 and T4a GC (all p < 0.05). The AUC of the comprehensive model composed of ROI and nIC in VP was 0.805. For different subtypes, multiple DECT parameters of poorly cohesive carcinoma (PCC) showed significant differences.

conclusionROI area in LAP and VP, IC, nIC, and CT value mean in VP have significant differences in distinguishing between T1-3 and T4a GC. Iodine-related parameters in VP differed significantly between T1-3 and T4a in PCCs, rather than TACs. Considering the heterogeneity of different WHO subtypes, DECT iodine-related parameters in VP are more predictive of the serosal invasion status of GC compared to LAP.

Indexed as

Radiography, Dual-Energy Scanned ProjectionSerous MembraneStomach NeoplasmsTomography, X-Ray ComputedAdultAgedAged, 80 and overContrast MediaFemaleHumansMaleMiddle AgedNeoplasm InvasivenessNeoplasm StagingPredictive Value of TestsRetrospective StudiesContrast MediaGastric cancerIodine concentrationLogistic modelsSerosal invasionTomography, X-ray computed

Identifiers

PMID39690282

What Socratic holds

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Registered trials

None linked

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.