366-06-008 ISMRM Abstract

Time-Dependent Diffusion MRI for Cervical Cancer Subtype Differentiation : A Comparison of ROI Delineation Strategies

Primary: Diffusion - Diffusion Analysis & Visualization

Secondary: Body - Uterus

366-06-008 · Body Diffusion MRI Applications · Monday, 11 May, 5:05 PM–6:00 PM · Digital Posters Row G

Keywords: Magnetic resonance imaging Cervical cancer Region-of-interest analysis Time-dependent diffusion MRI (td-dMRI) Histological subtype

Accepted

Xuelin Ma¹, Xiaolei Dong¹, Siqi Yi¹, Meining Chen ², Wei Sheng², Thorsten Feiweier³, Peng Zhou¹, Xiaoli Chen^1,4

¹Department of Radiology, Beijing, China

²MR Research Collaboration Team, Shanghai, China

³MR Research and Clinical Translation, Siemens Healthineers AG, Erlangen, Germany

⁴Department of Radiology, Karolinska Institutet, Solna, Sweden

Presenting Author: Meining Chen

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.

References

1. Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin. 2023;73(1):17-48. doi:10.3322/caac.21763 [doi]

2. Perkins RB, Wentzensen N, Guido RS, Schiffman M. Cervical Cancer Screening: A Review. JAMA. 2023;330(6):547-558. doi:10.1001/jama.2023.13174 [doi]

3. Partridge SC, Nissan N, Rahbar H, Kitsch AE, Sigmund EE. Diffusion-weighted breast MRI: Clinical applications and emerging techniques. J Magn Reson Imaging. 2017;45(2):337-355. doi:10.1002/jmri.25479 [doi]

4. Jiang X, Li H, Xie J, Zhao P, Gore JC, Xu J. Quantification of cell size using temporal diffusion spectroscopy. Magn Reson Med. 2016;75(3):1076-1085. doi:10.1002/mrm.25684 [doi]

5. Jiang X, Li H, Xie J, et al. In vivo imaging of cancer cell size and cellularity using temporal diffusion spectroscopy. Magn Reson Med. 2017;78(1):156-164. doi:10.1002/mrm.26356 [doi]

6. Si L, Liu X, Li X, Yang K, Wang L. Diffusion kurtosis imaging and intravoxel incoherent motion imaging parameters in breast lesions: Effect of radiologists' experience and region-of-interest selection. Eur J Radiol. 2023;158:110633. doi:10.1016/j.ejrad.2022.110633 [doi]

7. Palm T, Wenkel E, Ohlmeyer S, et al. Diffusion kurtosis imaging does not improve differentiation performance of breast lesions in a short clinical protocol. Magn Reson Imaging. 2019;63:205-216. doi:10.1016/j.mri.2019.08.007 [doi]

8. Gao W, Yang Q, Li X, et al. Quantitative Assessment of Breast Tumor: Comparison of Four Methods of Positioning Region of Interest for Synthetic Relaxometry and Diffusion Measurement. Acad Radiol. 2024;31(8):3096-3105. doi:10.1016/j.acra.2024.02.045 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/366-06-008