Evidence map›Paper›PMID 41341390›Full record

ArticleFrontiers in oncology2025

Automated ITSS extraction combined with R2* values obtained from enhanced T2*-weighted angiography in magnetic resonance imaging: a promising approach for differentiate cervical adenocarcinoma from squamous carcinoma.

Anliang Chen, Xing Meng, Changjun Ma, Shifeng Tian, Qingwei Song, Ailian Liu, Mingrui Zhuang, Hongkai Wang

Abstract read
In one paragraph

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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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Anliang Chen *Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Xing Meng *Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Changjun MaDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Shifeng TianDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Qingwei SongDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Ailian LiuDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Mingrui ZhuangSchool of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, Liaoning, China.
Hongkai WangSchool of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to evaluate the efficacy of utilizing automated intertumoral susceptibility signal (ITSS) intensity extraction combined with R2* values derived from enhanced T2*-weighted angiography (ESWAN) in magnetic resonance imaging (MRI) to distinguish between cervical adenocarcinoma (CA) and cervical squamous carcinoma (CSC). Methods: Seventy-eight patients who underwent ESWAN from 2014 to 2019 were stratified into two groups: CA (26 patients) and CSC (52 patients). R2* values of the lesions were measured, and ITSS ratios were automatically calculated using the Anatomy Sketch (AS) software. Independent samples t-tests or Mann-Whitney U-tests were utilized to evaluate disparities in the parameters. Binary logistic regression was conducted to identify independent predictors. The receiver operating characteristic curve was employed to assess diagnostic value, and the Delong test was applied to compare differences in the area under the curve (AUC). Results: The CA group exhibited significantly higher values for the ITSSs, ITSSv and R2* value, lower alpha fetoprotein (AFP) and prognostic nutritional index (PNI) (ITSSs: 0.203 ± 0.111; ITSSv:0.206 ± 0.098; R2* value:20.340 ± 5.572Hz; AFP: 1.73(1.33,2.99)ng/ml; PNI:49.150(45.825,51.775)) than that of the CSC group (ITSSs: 0.072 ± 0.019; ITSSv: 0.076 ± 0.030; R2* value: 13.233 ± 4.083Hz; AFP: 2.99(1.88,2.99)ng/ml; PNI: 50.775(48.563,54.050)) ( Conclusion: ITSSv and R2* values derived from ESWAN facilitate the quantitative differentiate between CA and CSC. The automated extraction of ITSSv is convenient and reliable, making it a promising candidate for clinical implementation.

Indexed as

cervical adenocarcinomacervical squamous carcinomaESWANintertumoral susceptibility signalR2* value

Identifiers

PMID41341390
PMCPMC12668948

What Socratic 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 Socratic graph.