Evidence map›Paper›PMID 41081216›Full record

ArticleQuantitative imaging in medicine and surgery2025

Automated intertumoral susceptibility signal extraction combined with quantitative enhanced T

Changjun Ma, Hanyue Zhang, Qi An, Shifeng Tian, Mingrui Zhuang, Hongkai Wang, Ailian Liu

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 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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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

7 authors.

Changjun Ma *Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China.
Hanyue Zhang *Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China.
Qi AnDepartment of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China.
Shifeng TianDepartment of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China.
Mingrui ZhuangFaculty of Medicine, Dalian University of Technology, Dalian, China.
Hongkai WangFaculty of Medicine, Dalian University of Technology, Dalian, China.
Ailian LiuDepartment of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endometrial cancer (EC) incidence is increasing, with prognosis influenced by the tumor microenvironment. Hypoxia-inducible factor-1α (HIF-1α) promotes radioresistance, but traditional detection methods are often limited. Susceptibility-weighted imaging enables non-invasive quantitative assessment of tumor hypoxia. This study aims to investigate the efficacy of utilizing automated intertumoral susceptibility signal (ITSS) intensities extraction combined with multiple quantitative parameters derived from enhanced T Methods: A cohort of 219 patients diagnosed with EC through pathological examination were stratified into high and low expression groups based on their levels of HIF-1α expression and underwent preoperative pelvic 1.5-T magnetic resonance imaging (MRI) scans. Disparities in ITSS ratio, magnitude value, phase value, and R Results: The high HIF-1α expression group exhibited significantly higher values for the ITSS ratio (0.145±0.148 Conclusions: The automatic extraction of ITSS based on ESWAN sequence enables the quantitative evaluation of HIF-1α expression in EC.

Indexed as

Endometrial cancer (EC)hypoxia-inducible factor-1α (HIF-1α)intertumoral susceptibility signal (ITSS)

Identifiers

PMID41081216
PMCPMC12514739

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