Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

A Tour of Body Oncology

Digital Poster

Body

Thursday, 14 May 2026

Digital Posters Row A

08:30 - 09:25

Session Number: 660-01

No CME/CE Credit

Similar Sessions

This session provides presentations summarizing latest advances in body oncology.

Skill Level: Intermediate

		660-01-001. The Value of Fractional-Order Calculus DWI in the Noninvasive Assessment of Ki-67 Expression in Cervical Cancer Shaomin Li, Wenjia Wang, Meiying Cheng, Yimeng Cao, Zhexuan Yang, Xueyan Liu The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China Impact: The FROC model, particularly the μ value, shows strong potential as a noninvasive biomarker for assessing tumor proliferation in cervical cancer.
		660-01-002. Predictive value of nomogram-based multiparametric MRI combined with pathological biomarkers for HIF-1α Expression in Breast Siqiang lv, Zhanguo Sun, Weiwei Wang, Xiuzheng Yue Affiliated Hospital of Jining Medical University, Jining, China Impact: We initially assessed the oxygenation level of breast cancer utilizing clinicopathological and multimodal MRI parameters. The nomogram combining clinicopathological and multimodal MRI parameters shows promising accuracy for non-invasive prediction of HIF-1α expression, potentially facilitating personalized therapeutic strategies in breast cancer.
		660-01-003. Diffusion-Weighted MRI-Based Virtual Elastography for Predicting Pathological Grading of Invasive Breast Cancer Yuanfeng Wei, Chenxi Zhang, Hao dong Qin, Xiang Qin, LI Sheng Huang, Jing Meng Zhong, Chenggong Yan Nanfang Hospital, Southern Medical University, Guangzhou 510515, China Impact: DWI-vMRE provides reliable non-invasive grading of breast cancer, aiding treatment planning into clinical MRI protocols.
		660-01-004. Deep learning-assisted prediction of lymph node metastasis in breast cancer after neoadjuvant chemotherapy using MRI Tingxi Wu, Yunjun Yang, Zhifeng Xu, Hai Zhao The First People's Hospital of Foshan (Foshan Hospital Affiliated to Southern University of Science and Technology), School of Medicine, Southern University of Science and Technology, China Impact: The proposed interpretable DL model based on multiparametric MRI enables accurate, noninvasive prediction of ALN metastasis after NAC, offering a reliable imaging-based tool to optimize surgical planning and improve personalized management in BC patients.
		660-01-005. Reproducibility of apparent diffusion coefficient (ADC) measurements between supine and prone breast MRI Lena Nohava, Paola Clauser, Andrea Beck-Tölly, Pascal Baltzer, Elmar Laistler Medical University of Vienna, Vienna, Austria Impact: This study supports the clinical interchangeability of supine wearable BraCoil and prone standard coil DWI in breast MRI, enabling flexible patient positioning without compromising ADC measurement reproducibility, potentially improving patient comfort.
		660-01-006. Diffusion MRI Preprocessing Enhances quantitative features related to Prostate Imaging Quality (PI-QUAL v2) Christos Kanakis, Mathias Perslev, Silvia Ingala, Dennis Klomp, Akshay Pai, Chantal Tax University Medical Center Utrecht, Utrecht, Netherlands Impact: This study demonstrates that dMRI preprocessing systematically enhances quantitative image quality metrics aligned with PI-QUAL v2 criteria. These improvements could potentially facilitate more consistent image assessment, support automated quality control, and facilitate prostate MRI interpretation.
		660-01-007. Differentiating benign prostatic hyperplasia from transition zone prostatic cancer using Hybrid Multidimensional MRI Noah Alper, Iman Suleiman, Suela Nikolla, Roger Engelmann, Abel Campos, Ambereen Yousuf, Tatjana Antic, Gregory Karczmar, Aytekin Oto, Aritrick Chatterjee University of Chicago, Chicago IL, Chicago, United States of America Impact: Hybrid Multidimensional MRI (HM-MRI) in combination with Physics-Informed Autoencoder (PIA), specifically epithelium, lumen, and stroma volumes and diffusivities can be used to improve prostate cancer (PCa) diagnosis, specifically differentiate between transition zone (TZ) PCa and benign prostatic hyperplasia (BPH).
		660-01-008. Prolonged Hepatobiliary-Phase MRI Enhancement as a Diagnostic Biomarker for Pancreatic Cystic Neoplasm Subtyping WEI ZHAO, guangbin wang, Jiaxiang xin, Tao Gong Shandong Provincial Hospital Affiliated to Shandong First Medical University (Shandong Provincial Hospital), Jinan, China Impact: Ninety-minute hepatobiliary-phase cystic enhancement provides a robust MRI marker for distinguishing true from degenerative PCN. This quantitative measure shows strong potential for clinical translation in non-invasive lesion characterization.
		660-01-009. Deep Learning-Based Detection Models For Pancreatic Cystic Lesions In Whole-Body MRI For Cancer Screening Eleonora Fioretti, Cornelius Jacob, Francesca Camagni, Chiara Paganelli, Federico Colombo, Francesco Cicchetti, Cristiano Girlando, Marco Stella, Paul Summers, Giuseppe Petralia Politecnico di Milano, Milano, Italy Impact: This work demonstrates the feasibility of deep learning–based pancreatic cyst detection in WB-MRI, advancing the integration of AI-based tooling into cancer screening workflows.
		660-01-010. Abdominal Multi-Organ MRI Radiomics Outperform Standard Approaches for Predicting Outcomes in pancreatic cancer Lixia Wang, Yufeng Wang, Zengtian Deng, Yu Shi, Touseef Qureshi, Sehrish Javed, Linda Azab, Garima Diwan, Ju Yang, Yibin Xie, Arsen Osipov, Stephen Pandol, Debiao Li Cedars-Sinai Medical Center, Los Angeles, United States of America Impact: This model has the potential to support personalized surveillance and treatment planning in managing PDAC patients.
		660-01-011. MRI-based Habitat Radiomics and Clinical-Radiological Integration for Predicting BCS Feasibility after NAC jinrui liu, Jing Zhang, Yuhui Xiong, Mingsong Tang, fei jia The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China Impact: This combined model provides a noninvasive and generalizable tool for predicting surgical feasibility afterneoadjuvant chemotherapy (NAC), enhancing personalized treatment planning and potentially reducing unnecessary mastectomies.
		660-01-012. Extracellular Volume Mapping Enhances Diagnostic Performance of CMR Score in Cardiac Tumor Characterization Tingting Zheng, Minjie Lu Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China Impact: The Improved, New CMR score which integrated myocardial ECV into Conventional CMR can substantially improves the differentiation of benign and malignant cardiac tumor. It pioneers morphological-parametric integration, shifts to microenvironment-centric assessment, and optimizes clinical management.
		660-01-013. MRI in Clinical Practice: Diagnosis of Renal Inflammatory Myofibroblastic Tumor Hongyang Du, Jingyun Wu, He Wang, Naishan Qin Peking University First Hospital, Beijing, China Impact: Facilitates differentiation of renal IMT from RCC via multi-parametric MRI, enhances diagnostic accuracy, enables non-surgical management to preserve renal function, and lays groundwork for ccLS-based imaging research.