Evidence map›Paper›PMID 41479801›Full record

ArticleFrontiers in oncology2025

Prediction of histopathological grade in gastric cancer using dual energy CT-derived synthetic extracellular volume fraction.

Hai-Fei Zhou, Wei Chen, Jing-Qi Li, Ai-Yun Sun, Li-Li Guo

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Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Hai-Fei ZhouDepartment of Radiology, The Affiliated Huai'an NO.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
Wei ChenDepartment of Radiology, The Affiliated Huai'an NO.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
Jing-Qi LiDepartment of Pathology, The Affiliated Huai'an NO.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
Ai-Yun SunCT Imaging Research Center, GE HealthCare China, Shanghai, China.
Li-Li GuoDepartment of Radiology, The Affiliated Huai'an NO.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the relationship between the synthetic extracellular volume (ECV) fraction and the hematocrit (HCT)-based ECV fraction in gastric cancer patients and to evaluate its potential utility in predicting the pathological grade of gastric cancer. Methods: Data from the derivation cohort consisting of 142 patients who underwent nonenhanced abdominal CT examination were collected, and the CT values of the abdominal aorta (CTA) and inferior vena cava (CTV) were measured separately. Using linear regression between CT attenuations and conventional hematocrit (HCT Results: Derived formulas: Conclusions: Synthetic ECV performs comparably to conventional ECV and predicts gastric cancer pathological grading effectively.

Indexed as

dual-energy CTextracellular volume fractiongastric cancergrade of pathologyhematocritsynthesis of ECV

Identifiers

PMID41479801
PMCPMC12754176

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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.