Evidence map›Paper›PMID 40304351›Full record

ArticleCurrent medical imaging2025

Analysis of the Correlation between MRI Imaging Signs and Lymphovascular Space Invasion in Endometrial Cancer

Chenwen Sun, Jiaying Mao, Yang Xia, Meiping Li, Zhenhua Zhao

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Article in Current medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chenwen SunDepartment of Radiology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Zhejiang University School of Medicine, Hangzhou 310058, China.ORCID 0000-0002-5029-0179
Jiaying MaoDepartment of Radiology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, 312000, China.
Yang XiaDepartment of Radiology, Shaoxing Maternity and Child Health Care Hospital, Shaoxing, 312000, China.
Meiping LiDepartment of Pathology, Shaoxing Maternity and Child Health Care Hospital, Shaoxing, 312000, China.
Zhenhua ZhaoDepartment of Radiology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, 312000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetermination of LVSI is the recommended criterion for performing lymphatic drainage and is important for the preoperative clinical decisionmaking process; however, Intraoperative Frozen Section (IFS) has limitations for the analysis of LVSI, and there is an urgent need for other indirect methods to predict the presence of LVSI.

aimThis study aimed to investigate the value of Magnetic Resonance Imaging (MRI) features in predicting Lymphovascular Space Invasion (LVSI) in endometrial cancer (EC).

objectiveThe objective of this study was to analyze MRI features that may be associated with LVSI and to explore their association.

methodsIn this study, 179 patients who received treatment for EC confirmed by surgical pathology at two medical institutions from January 2017 to May 2024 were reviewed and grouped according to the presence or absence of vascular cancer embolism in the pathology. The MRI imaging features of the two groups were compared, including the maximum transverse diameter in the sagittal position, myometrial invasion, disruption of the uterine Junctional Zone (JZ), serosal surface, uterine appendages, cervical stromal invasion, lymph node enlargement, and its T2 value, and Diffusion- Weighted Imaging (DWI). The risk factors of the LVSI-positive group were determined by performing logistic regression analysis to analyze the correlation between Apparent Diffusion Coefficient (ADC) values and LVSI in EC.

resultsThere were 34 cases in the LVSI-positive group and 145 cases in the negative group. The maximum transverse diameter in sagittal position, myometrial invasion, interruption of the uterine JZ, serous surface, uterine appendages, cervical stromal invasion, lymph node enlargement, and their DWI and ADC values were statistically significant between the two groups (P < 0.05). In multivariate logistic regression analysis, lymph node enlargement (P = 0.001) and ADC value (P = 0.041) were identified as independent risk factors for positive LVSI.

conclusionLymph node enlargement and reduced ADC values (<0.767*10-3mm

Indexed as

Endometrial NeoplasmsLymphatic MetastasisMagnetic Resonance ImagingAdultAgedDiffusion Magnetic Resonance ImagingFemaleHumansLymph NodesMiddle AgedNeoplasm InvasivenessRetrospective StudiesEndometrial cancerLVSILymphovascular space invasionMR diffusion-weighted imaging.MRI

Identifiers

PMID40304351
PMCPMC13176746

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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.