Evidence map›Paper›PMID 39797941›Full record

ArticleArchives of gynecology and obstetrics2025

Comparative analysis of imaging and pathological features in diagnosis of endometrial carcinosarcoma based on multimodal MRI.

Jin-Ying Lan, Jin-Han Yang, Yuan-Hui Liang, An-Yuan Lin, Jin-Yuan Liao

Abstract readCase ReportsComparative Study
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In one paragraph

Article in Archives of gynecology and obstetrics, 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

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jin-Ying Lan *Department of Radiology, Guiping People's Hospital, No. 7 Renmin West Road, Guiping, Guigang, 537200, China. yangjinhan@126.com.ORCID 0009-0005-5568-7713
Jin-Han Yang *Department of Radiology, Guiping People's Hospital, No. 7 Renmin West Road, Guiping, Guigang, 537200, China.ORCID 0000-0003-4870-8799
Yuan-Hui LiangDepartment of Pathology, Guiping People's Hospital, No. 7 Renmin West Road, Guiping, Guigang, 537200, Guangxi, China.
An-Yuan LinDepartment of Radiology, Guiping People's Hospital, No. 7 Renmin West Road, Guiping, Guigang, 537200, China.ORCID 0009-0002-4444-7405
Jin-Yuan LiaoDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi, China.ORCID 0000-0001-9722-821X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis case report aims to present a rare case of endometrial carcinosarcoma, a highly malignant tumor with a poor prognosis. The primary objective is to describe this unique case's clinical presentation, multimodal magnetic resonance imaging (MRI) features, typical histopathological characteristics and surgical treatment.

methodsA detailed analysis of the patient's medical history, preoperative imaging evaluation, and treatment approach was conducted. This case report includes high-resolution images and figures, showcasing MRI scans, surgical treatment, and histopathology slides related to the case.

resultsThe case report outlines imaging findings of a rare case of endometrial carcinosarcoma. Multimodal imaging such as T1-weighted imaging (T1WI), T2-weighted imaging (T2WI) and multi-b-value diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) and dynamic contrast-enhanced (DCE) scanning could accurately identify the histopathological features of the case. Surgical resection is the best treatment, and preoperative imaging evaluation should be particularly important.

conclusionThis case report highlights endometrial carcinosarcoma's rarity and diagnostic challenges. Multimodal MRI has significant value in diagnosing endometrial carcinosarcoma. This technology not only improves the sensitivity, specificity, and accuracy of diagnosis, but also helps to more accurately evaluate the staging and grading of tumors. By comparing imaging features and pathological results, studies have found that multimodal MRI can clearly show the anatomical structure, pathological nature, and extent of the tumor, with a high degree of consistency with the pathological diagnosis. In particular, when differentiating endometrial carcinosarcoma from low-risk endometrial cancer, multimodal MRI combined with serum carbohydrate antigen 125 (CA125) and E-box binding zinc finger protein 1 (ZEB1) detection can further improve the sensitivity and specificity of differential diagnosis. In addition, research has found that the ADC value of the tumor tissue in different pathological grades is related to the multimodal MRI, which helps to better understand the biological behavior and prognosis of the tumor. In summary, multimodal MRI is an effective diagnostic tool that can provide important evidence for the precise diagnosis and treatment of endometrial carcinosarcoma.

Indexed as

CarcinosarcomaEndometrial NeoplasmsMagnetic Resonance ImagingDiffusion Magnetic Resonance ImagingHumansMultimodal ImagingCarcinosarcomaEndometrial carcinosarcomaMultimodal MRI

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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.