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Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Radiol. Sep 28, 2025; 17(9): 111493
Published online Sep 28, 2025. doi: 10.4329/wjr.v17.i9.111493
Advances in ultrasound-based imaging for diagnosis of endometrial cancer
Mohamad Tlais, Hussein Hamze, Ali Hteit, Karim Haddad, Issam El Fassih, Issa Zalzali, Sally Mahmoud, Sabine Karaki, Diana Jabbour
Mohamad Tlais, Hussein Hamze, Ali Hteit, Karim Haddad, Issam El Fassih, Sally Mahmoud, Sabine Karaki, Department of Radiology, University of Balamand, Beirut 0000, Lebanon
Issa Zalzali, Department of Internal Medicine, Faculty of Medicine, Beirut Arab University, Beirut 0000, Lebanon
Diana Jabbour, Department of Radiology, Lebanese University, Beirut 0000, Lebanon
Author contributions: Tlais M and Hamze H contributed to the conception and design of the manuscript; Hteit A, Haddad K, and Mahmoud S conducted the literature review; El Fassih I and Karaki S provided critical revisions and guidance on the ultrasound imaging sections; Zalzali I and Jabbour D contributed to the radiological interpretation and contextual relevance of clinical applications; all authors participated in drafting and revising the manuscript, and approved the final version.
Conflict-of-interest statement: The authors declare that there is no conflict of interest related to this manuscript.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Mohamad Tlais, MD, Department of Radiology, University of Balamand, Dekweneh, Beirut 0000, Lebanon. mmtlaiss22@gmail.com
Received: July 1, 2025
Revised: July 28, 2025
Accepted: August 20, 2025
Published online: September 28, 2025
Processing time: 87 Days and 18.2 Hours
Core Tip

Core Tip: This study provides a comprehensive review of evolving ultrasound (US)-based imaging techniques in the diagnosis of endometrial cancer (EC), emphasizing their clinical and technological advancements. It highlights the integration of three-dimensional US, contrast-enhanced US, elastography, and artificial intelligence (AI) to improve diagnostic precision, staging accuracy, and patient stratification. By comparing these modalities with magnetic resonance imaging and incorporating radiomics-based models, the review demonstrates how US, particularly when AI-enhanced, offers a cost-effective, accessible, and accurate alternative for early EC detection and management in diverse clinical settings.