Evidence map›Paper›PMID 41381749›Full record

ArticleScientific reports2025

Evaluate lymphovascular space invasion in endometrial cancer using diffusion-weighted imaging-based habitat imaging.

Wei Wang, Junlan Lang, Kaiming Xue, Yunhai Mao, Wenchao Wang, Yao Meng, Yueluan Jiang, Yang Song, Xuemei Wang, Mengchao Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Wei Wang *Department of Radiology, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin, China.
Junlan Lang *Department of Radiology, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin, China.
Kaiming XueDepartment of Radiology, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin, China.
Yunhai MaoDepartment of Radiology, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin, China.
Wenchao WangDepartment of Radiology, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin, China.
Yao MengMR Research Collaboration, Siemens Healthineers, Beijing, China.
Yueluan JiangMR Research Collaboration, Siemens Healthineers, Beijing, China.
Yang SongMR Research Collaboration, Siemens Healthineers, Shanghai, China.
Xuemei WangDepartment of Pathology, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin, China. wangxuemei@jlu.edu.cn.
Mengchao ZhangDepartment of Radiology, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin, China. zhangmengchao@jlu.edu.cn.

Funding

The green seedling support projects of China-Japan Union Hospital of Jilin University 2024QM03
6 · The paper itself

Abstract

Lymphovascular space invasion (LVSI) is a key prognostic factor influencing treatment decisions in endometrial cancer (EC). Here, we evaluate whether diffusion-weighted imaging (DWI)-based habitat imaging can noninvasively identify LVSI in EC. We retrospectively analyzed 101 EC patients who underwent preoperative multi-b-value DWI examination between December 2020 and October 2024. EC lesions were decoded into four habitats determined by unsupervised K-means clustering using true diffusion coefficient (D), perfusion fraction (f), and mean kurtosis (MK) maps, and the volume fractions of each habitat were quantified. LVSI-positive EC ( n = 22 ) exhibited significantly higher volume fractions of Habitat 1 ( H1 ) and lower volume fractions of Habitat 2 ( H2 ) compared to LVSI-negative cases ( p < 0.001 ). Logistic regression identified independent risk factors for LVSI, including H1, FIGO stage, and histologic grade. H1 demonstrated comparable diagnostic performance (AUC, 0.76 ; 95%CI: 0.67, 0.84 ) to pathological indicators, while achieving the highest sensitivity ( 81.82% ). Additionally, H1 correlated positively with tumor volume, while H2 correlated negatively with histologic grade. These findings suggest DWI-based habitat imaging could serve as a valuable preoperative tool for noninvasive LVSI assessment in EC.

Indexed as

Diffusion Magnetic Resonance ImagingEndometrial NeoplasmsAdultAgedFemaleHumansLymphatic MetastasisMiddle AgedNeoplasm InvasivenessPrognosisRetrospective StudiesDiffusion weighted imagingEndometrial cancerHabitat imagingLymphovascular space invasionMagnetic resonance imaging

Identifiers

PMID41381749
PMCPMC12800121

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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.