ISMRM25 - Making Sense of MRI of the Female Pelvis

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Making Sense of MRI of the Female Pelvis

Oral

Body

Monday, 12 May 2025

316B

13:45 - 15:45

Moderators: Chan Kyo Kim, Yoshiko Ueno & Yuki Arita

Session Number: O-26

No CME/CE Credit

13:45		Introduction Chan Kyo Kim
13:57		0166. Placental blood-flow velocity quantification from diffusion MRI View Presentation Video Z. Yang, D. C. d. Oliveira, L. Kerkelä, M. Palombo, E. Powell, C. S. Parker, D. Cromb, L. Story, S. Counsell, K. Payette, J. V. Hajnal, J. Hutter, R. J. Shipley, D. C. Alexander, P. J. Slator Hawkes Institute and Department of Computer Science, University College London, London, United Kingdom Impact: Our approach estimates blood velocity from existing diffusion MRI data, reflecting placental blood flow conditions and potentially helping to diagnose diseases like pre-eclampsia. This approach could also be applied to organs where blood velocity is clinically significant.
14:09		0167. Placental contractions in healthy and compromised placentas View Presentation Video A. Turnbull, G. Hutchinson, R. Li, L. Dewick, C. Bradley, C. Platt, N. Dellschaft, K. Walker, N. Jones, X. Chen, G. Figueredo, P. Gowland University of Nottingham, Nottingham, United Kingdom Impact: A third of stillbirths are caused by placental complications. Placental contractions are a newly identified physiological phenomenon and so it is important to understand any role they may play in compromised pregnancies.
14:21		0168. Spatiotemporal changes in the uterus during non-labor contractions View Presentation Video E. Abaci Turk, N. Dey, E. Adalsteinsson, P. Golland, P. E. Grant Boston Children's Hospital, Boston, United States Impact: Non-labor contractions consistently correlate with placental volume and T2* decreases with faster changes in cotyledons. Contractions likely eject maternal blood out of the placenta resulting in transient hypoxic stress. Imaging contractions may provide insight into hypoxic stress for the fetus.
14:33		0169. MRI-based Deep Radiomics Ensemble Learning for Predicting Postpartum Hemorrhage in Patients with Suspected Placenta Accreta Spectrum View Presentation Video Q. Zhang, H. Wang, X. Liang, W. Yue, R. Han, H. Zhang, G. Yang East China Normal University, ShangHai, China Impact: This study demonstrates an automated pipeline integrating deep learning and radiomics to predict postpartum hemorrhage in high-risk pregnancies using MRI. It enhances prenatal risk assessment, potentially improving clinical outcomes by enabling timely intervention and better resource allocation in obstetric care.
14:45		0170. Evaluating Microstructures in Endometrial Cancer Using Diffusion-Relaxation Correlated Spectroscopic Imaging Y. Dai, D. Wu, T. Yang, W. Hu, P. Hu, H. Liu, G. Shi School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China Impact: DR-CSI offers a novel and effective method for quantifying microstructural compartments in EC, providing superior diagnostic accuracy compared to conventional techniques. The ability to capture detailed microstructural information from DR-CSI metrics holds promise for offering deeper insights into tumor heterogeneity.
14:57		0171. MRI based Clinical-Radiomics Deep Learning Model for Endometrial Cancer Molecular Subtypes Classification: A Multicohort Retrospective Study H. Wang, W. Yue, R. Han, H. Zhang, X. Liang, H. Li, Q. Yang Neusoft Medical Systems Co., Ltd, Beijing, China Impact: The clinical-Radiomics DL Model achieved the optimal performance in classifying molecular subtypes of EC utilizing multiparametric MRI, which demonstrates that preoperative MRI has the potential to help clinicians in accurately assigning patients to their respective molecular subtypes classifications before surgery.
15:09		0172. Evaluation of the Diagnostic Performance of Weighted Diffusion Subtraction (WDS) in Differentiating Uterine Sarcomas from Uterine Myomas View Presentation Video Y. Omiya, K. Oshio, H. Jiajing, K. Sano, S. Aoki, R. Kuwatsuru Juntendo University Hospital, Tokyo, Japan Impact: This study demonstrates that WDS significantly improves the differentiation of uterine sarcomas from myomas. These findings may enhance diagnostic accuracy and patient management, encourage the clinical adoption of WDS, and inspire further research into its use for other challenging diagnoses.
15:21		0173. The value of MRS in screening of fumarate hydratase-deficient uterine leiomyoma G. Wu, Y. Song renji hospital, Shanghai, China Impact: This study explored the potential of MR spectroscopy (MRS) for diagnosing FH-deficient leiomyomas, a noninvasive imaging modality that could allow early diagnosis and improve surveillance of this condition.
15:33		0174. O-RADS MRI: An updated meta-analysis of diagnostic performance, category-wise malignancy rates, and inter-observer reliability View Presentation Video J. Zhong, Y. Xing, Y. Hu, X. Liu, D. Ding, S. Dai, J. Lu, Y. Song, M. Lu, H. Zhang, W. Yao Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China Impact: O-RADS-MRI presented high diagnostic performance with appropriate probability of malignant for each category, and excellent inter-observer reliability. The O-RADS-MRI can be an accurate and effective tool for ovarian-adnexal lesion assessment.

Similar Session(s)