Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
651-01-001 / 651-01-001 ISMRM Abstract

Multiparametric MRI-Based Habitat Imaging for Non-Invasive Risk Stratification in Endometrial Carcinoma: A Multi-Center Study

Primary: Body - Pelvis
Secondary: Analysis Methods - Radiomics
651-01-001 · Pelvic MRI: Bladder, Endometrium, and Rectum · Thursday, 14 May, 8:30 AM–10:06 AM · Power Pitch Theatre 1
651-01-001 · Pelvic MRI: Bladder, Endometrium, and Rectum · Thursday, 14 May, 8:30 AM–10:06 AM · Power Pitch Theatre 1
Keywords: Endometrial carcinoma Risk Stratification Multi-center Habitat imaging Multiparametric MRI
Accepted
Yunzhu Wu 1, Qiu Bi2, Shenghong Ju1,3
1Jiangsu Key Laboratory of Intelligent Medical Image Computing, School of Future Technology, Nanjing University of Information Science and Technology, Nanjing, China
2Department of MRI, The First People’s Hospital of Yunnan Province. The Affiliated Hospital of Kunming University of Science and Technology, kunming, China
3Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
Presenting Author: Yunzhu Wu

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Colombo, N., Creutzberg, C., Amant, F., et al. ESMO-ESGO-ESTRO Consensus Conference on Endometrial Cancer: Diagnosis, Treatment and Follow-up. International Journal of Gynecologic Cancer 2016; 26 (1), 2-30.
2. Concin, N., Matias-Guiu, X., Vergote, I., et al. ESGO/ESTRO/ESP guidelines for the management of patients with endometrial carcinoma. International Journal of Gynecological Cancer 2021; 31(1), 12-39.
3. Sala, E., Rockall, A., Freeman, S. J., et al. The added role of MR imaging in treatment stratification of patients with gynecologic malignancies: what the radiologist needs to know. Radiology 2013; 266 (3), 717-740.
4. Huang, Y., Liu, Z., He, L., et al. Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage Non–Small Cell Lung Cancer. Radiology 2016; 281 (3), 947-957.
5. Oikonomou, A., Khalvati, F., et al. Radiomics: A Transformative Imaging Biomarker Methodology for Precision Medicine in Oncology. The British Journal of Radiology 2018; 91 (1085), 20170926.
6. Aerts, H. J., Velazquez, E. R., et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications 2014; 5, 4006.
7. Lu, H., Arif-Tiwari, H., et al. Habitat imaging for tumor characterization: applications in oncology. Journal of Magnetic Resonance Imaging 2019; 50 (3), 748-757.
8. Rizzo, S., Botta, F., Raimondi, S., et al. Radiomics: the facts and the challenges of image analysis. European Radiology Experimental 2018; 2 (1), 1-8.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/651-01-001