Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Advanced MR Techniques in Cervical, Genital, Placental, and Fetal Disorders

Advanced MR Techniques in Cervical, Genital, Placental, and Fetal Disorders

Digital Poster

Body

Wednesday, 13 May 2026

Digital Posters Row B

16:00 - 16:55

Session Number: 561-05

No CME/CE Credit

Similar Sessions

To demonstrate advanced MRI techniques to assess cervical/genital tumors, and to evaluate fetal and placental physiology and related disorders.

Skill Level: Intermediate

		561-05-001. Simultaneous T2* and susceptibility mapping in healthy and compromised pregnancies Amy Turnbull, George Hutchinson, Ruizhe Li, Louise Dewick, Chris Bradley, Kate Walker, Neele Dellschaft, Xin Chen, Penny Gowland University of Nottingham, Nottingham, United Kingdom Impact: T2* and QSM maps of the placenta, acquired simultaneously in a single short dual-echo multi-slice EPI scan and analysed jointly, might provide a simple clinical marker of pregnancy compromise.
		561-05-002. Automated biometric assessment of cephalopelvic disproportion at term using 3D-reconstructed T2-weighted fetal MRI Simi Bansal, Alena Uus, Yagmur Gerek, Hadi Waheed, Sara Neves Silva, Jordina Aviles Verdera, Kamilah St Clair, Vanessa Kyriakopoulou, Jo Hajnal, Dimitris Siasakos, Anna David, Manju Chandiramani, Lisa Story, Jana Hutter, MARY RUTHERFORD King's College London, London, United Kingdom Impact: Preliminary results indicate that automated cephalopelvic measurements from 3D-reconstructed T2-weighted MRI have strong potential to estimate birth risks, enabling identification of women at increased likelihood of obstructed labour and supporting personalised birth planning to improve maternal and neonatal outcomes.
		561-05-003. MR Cytometry for Ovarian Tumors: Differentiation of Benign and Malignant Lesions and Correlation with Pathology Wenyi Yue, Dandan Zheng, Junzhong Xu, Chaoyang Jin, Xiaoyu Jiang, Qi Yang Beijing Chaoyang Hospital, Capital Medical University, beijing, China Impact: MR cytometry enables noninvasive microstructural characterization of ovarian tumors, enhancing diagnostic accuracy for distinguishing benign, malignant, and metastatic lesions while providing valuable insights into pathological aggressiveness and molecular features, potentially guiding personalized treatment strategies.
		561-05-004. MR-guided HDR Brachytherapy in Cervical Cancer patients: Accurate and fast catheter positioning with real-time dosimetry Majd Antaki, Borjan Gagoski, Yury Niatsetski, Bob van Veelen, Joost Schillings, Junghoon Lee, Marc Morcos, Michael Roumeliotis, Gayoung Kim, Junichi Tokuda, Ravi Seethamraju, Wolfgang Loew, Akila Viswanathan, Ehud Schmidt Johns Hopkins University, Baltimore, United States of America Impact: We improved MR-Tracked-High-Dose-Rate brachytherapy catheter insertion in cervical-cancer patients with faster tracking and incorporating intraprocedural on-line radiation-dosimetry that displays tumor-regions receiving insufficient dose or neighboring tissues receiving excessive dose, facilitating dose optimization in shorter catheter-insertion procedures.
		561-05-005. Cervical Cancer Restriction Spectrum Imaging (RSI) Model applied on Clinical Diffusion Weighted Imaging (DWI) Data Allison Bang, Cassandra Stoffer, Alexandra Schlein, Sheida Ebrahimi, Cora Chun, Jacqueline Loh, Tyler Seibert, Ana Rodríguez-Soto, Rebecca Rakow-Penner University of California, San Diego, La Jolla, CA, United States of America, United States of America Impact: Applying RSI modeling to clinical DWI (b_max=1000s/mm²) could enable advanced diffusion analysis without specialized multi-shell (b_max=3000s/mm²) acquisitions, supporting research and clinical translation, as it avoids the need for additional protocols.
		561-05-006. CervFiT-AG3DNet: Cervical Cancer Segmentation from Time-series Dynamic Contrast Enhanced MRI using Deep Learning Melikamu Liyih Sinishaw, Baijie Wang, Qian Yang, wei cui, Ye Li, Zhanli Hu, Xin Liu, Dong Liang, Hairong Zheng, Zhou Liu, Na Zhang Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China Impact: Our deep learning approach effectively segments cervical cancer from a challenging 4D DCE-MRI dataset, achieving improved tumor segmentation accuracy. This work serves as a pioneering step toward advancing future research in automated cervical cancer analysis using time-dependent dynamic imaging data.
		561-05-007. Impact of tract-specific and gestational age-dependent fiber modelling on spherical deconvolution in fetal diffusion MRI Marina Di Stefano, Denis Peruzzo, Alexander Leemans, Sonja de Zwarte, Alberto De Luca Scientific Insitute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy Impact: Conventional spherical deconvolution methods —using a constant fiber model—are suboptimal in fetuses, where white matter is heterogeneous and rapidly maturing. Calibrating on mature pathways like the corpus callosum results in sharper FODs that better resolve fiber crossings.
		561-05-008. Diffusion MRI based Myometrium Tractography Quantitative Analysis for Detection of Placenta Accreta Spectrum disorders Yu Zou, Qingqing Wen, Guohui Yan Zhejiang University, Hangzhou, China Impact: dMRI based myometrium tractography is a useful non-invasive tool and could provide complementary information to the existing anatomical features to improve the diagnosis of PAS disorders.
		561-05-009. Measuring the spatial variation of blood flow across the placenta using phase contrast angiography George Hutchinson, Amy Turnbull, Chris Bradley, Louise Dewick, Neele Dellschaft, Kate Walker, Lopa Leach, Penny Gowland Sir Peter Mansfield Imaging Center, University of Nottingham, Nottingham, United Kingdom Impact: This work investigated the blood flow across the placenta, describing the transit of blood across the organ. These quantitative data provide insights into placental function which are of use for mathematical modelling and understanding placental function.
		561-05-010. Characterizing Placental Perfusion in Healthy Pregnancy and Fetal Growth Restriction with 3T IVIM and Velocity-Selective ASL Sydney Williams, Angel Torrado-Carvajal, Laura Nunez-Gonzalez, Pablo Garcia-Polo, Susana Borromeo, Rita Regojo, Olga Nieto Velasco, luis Hernandez-Garcia, Manuel Recio-Rodríguez Universidad Rey Juan Carlos, Móstoles, Spain Impact: Fetal growth restriction (FGR) is a common pregnancy complication often caused by placental insufficiency. This study will characterize placental function using 3T DWI IVIM and Velocity-Selective ASL in healthy and FGR pregnancies, comparing to Doppler ultrasound and postnatal placental histopathology.
		561-05-011. Placental blood-flow velocity quantification from diffusion MRI in Normal and Complicated Pregnancy Zhuangjian Yang, Diana Cruz De Oliveira, Sonja Soskic, Lisa Story, Jo Hajnal, Jana Hutter, Shipley Rebecca, Daniel Alexander, Paddy Slator University College London, London, United Kingdom Impact: This method non-invasively assesses placental blood flow using existing diffusion Magnetic Resonance Imaging (dMRI) data, potentially enabling early identification of pregnancies at risk of complications (e.g., fetal growth restriction and pre-eclampsia), and extending to microvascular flow studies in other organs.
		561-05-012. Early-Pregnancy Multi-Parametric Placental Imaging as a Possible Predictor of Infant Growth Faltering Raymi Ramirez, Jennifer Kim, Carla Janzen, Sherin Devaskar, KyungHyun Sung David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States of America Impact: Early-pregnancy placental Multiparametric MRI (mpMRI) may classify infants at risk for poor growth in the first four months through placental shape and radiomic analysis, therefore enabling future studies centering early interventions evaluation in larger populations and at-risk infant monitoring.
		561-05-013. Advanced intra-abdominal ectopic pregnancy at 32 weeks : Diagnostic value of MRI in a resource-limited setting. Janvier Irakiza king faisal hospital, Rwanda, Kigali, Rwanda Impact: Early radiological recognition of intra-abdominal ectopic pregnancy improves diagnostic accuracy, prevents life-threatening complications, and guides timely surgical or interventional management. These findings enhance clinician awareness, refine imaging protocols, and open avenues for studying predictive radiological markers to improve maternal outcomes.