ISMRM25 - Shining Light on Hepatobilio-Pancreatic GI Cancer Imaging

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

Shining Light on Hepatobilio-Pancreatic GI Cancer Imaging

Digital Poster

Body

Tuesday, 13 May 2025

Exhibition Hall

13:30 - 14:30

Session Number: D-53

No CME/CE Credit

		Computer Number: 97 2673. Differentiation of Confluent Hepatic Fibrosis and Mass Forming Intrahepatic Cholangiocarcinoma with Infltrative Tumor Margin on MR Imaging View Presentation Video J. LIU Department of MR Imaging, the First Affiliated Hospital of Zhengzhou University, zhengzhou, China Impact: The study detected several key MRI features for accurate diagnosis CF and differentiation from mICCITM, which may avoid unnecessary biopsies and overtreatment, and providing better patient care.
		Computer Number: 98 2674. HR-DWI with Super-Resolution DLR vs. Conventional DWI: Scan Time, Image Quality and Diagnostic Performance in Hepato-Pancreato-Biliary Tumors View Presentation Video T. Yoshikawa, K. Yamamoto, Y. Sano, M. Ikedo, M. Ozaki, M. Yui, H. Nagata, T. Ueda, M. Nomura, D. Takenaka, Y. Ozawa, Y. Ohno Fujita Health University School of Medicine, Toyoake, Japan Impact: SR-DLR had superior potential for acquisition time reduction with image quality and diagnostic capability improvements on HR-DWI, when compared with cDWI. When applied SR-DLR for HR-DWI, 3 NEX would be better to be applied in this setting.
		Computer Number: 99 2675. Predicting treatment outcome and prognosis in locally advanced rectal cancer using pretreatment MRI and pathology based machine learning models View Presentation Video L-N Do, I. Park, S. H. Heo Chonnam National Univeristy, Gwangju, Korea, Republic of Impact: The results highlight the potential of machine learning models using MRI and pathology to enhance non-invasive prediction of rectal cancer treatment outcomes. This could lead to earlier, more tailored interventions and stimulate research into multimodal integration methods.
		Computer Number: 100 2676. Nomogram based on Gadobenate dimeglumine-enhanced MR imaging can predict the Ki-67 of typical intrahepatic mass-forming cholangiocarcinoma S. Zhang, B. Kang, X. Wang, C. Sun Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China Impact: A nomogram based on Gd-BOPTA-enhanced MRI was developed to predict Ki-67 expression in IMCC patients preoperatively and non-invasively, which may help clinicians to identify IMCC patients with high Ki-67 expression.
		Computer Number: 101 2677. Radiomics Analysis of Gadoxetic Acid-Enhanced MRI for Predicting Proliferative Hepatocellular Carcinoma Z. Yan, X. Zhang, Z. Liu, X. Zhao Nantong University, Nantong Third People’s Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China Impact: The nomogram combining independent clinical predictive factors and the combined radscore demonstrates the best diagnostic efficacy for proliferative HCC, while different radiomic models and the nomogram can provide varying prognostic stratification values.
		Computer Number: 102 2678. MRI-based radiomics models for prediction of vessels that encapsulate tumor clusters and microvascular invasion in hepatocellular carcinoma Z. Liu, T. Zhang, Z. Yan, X. Zhao Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China Impact: Preoperative non-invasive identification of VM-HCC assists clinicians in developing personalized treatment strategies, thereby improving patient prognosis.
		Computer Number: 103 2679. Radiomics Based on Magnetic Resonance Imaging in Differentiation of Hepatic micro-abscess from Hepatic micro-metastasis: A Multicenter Study J. Zhang, J. Luo Department of Radiology, Dalian Friendship Hospital, No. 8, 38 Square, Zhongshan District, Dalian 11, Dalian, China Impact: Our findings regarding Differentiation of Hepatic micro-abscess from Hepatic micro-metastasis is essential in selecting the best treatment option and enhancing prognosis.
		Computer Number: 104 2680. Extranodal extension status and its changes on MRI predicts prognosis of locally advanced rectal cancer patients View Presentation Video Q-Y Li, X-Y Zhang, Y-S Sun Peking University Cancer Hospital & Institute, Beijing, China Impact: Extranodal extension status and its changes on MRI have strong prognostic implications in locally advanced rectal cancer patients, which may become a new indicator for the selection of appropriate treatment regimens in the future.
		Computer Number: 105 2681. Dynamic contrast-enhanced gastric MRI features for preoperative prediction of microsatellite instability status in gastric cancer View Presentation Video X-X Wei, Z-T Sang, Y-J Hou, Q. Li, W-W Yu, X-S Liu the First Affiliated Hospital of Nanjing Medical University, Nanjing, China Impact: In this single-institution study, XD-VIBE DCE-MRI quantitative parameters demonstrated promise as markers of MSI status in GC. These features could provide added prognostic value and may assist in making individualized treatment decisions and positioning for biopsy.
		Computer Number: 106 2682. Tumor Microstructural Measurement at Time-Dependent Diffusion MRI Mapping for Predicting Lymphovascular Invasion in Rectal Cancer F. Lu, M. Chen, R. Wu, K. Li, Z. Liao, H. Li Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China Impact: The intracellular volume fraction (ICVF) from td-dMRI shows promise as a biomarker for LVI in rectal cancer. Combining ICVF and cellularity with MRI-reported EMVI enhances predictive performance, supporting clinicians in identifying high-risk patients for targeted treatment strategies.
		Computer Number: 107 2683. Tumour mechanics and vascular fractality quantification via MR-Elastography to gauge therapy response in liver metastasis View Presentation Video A. Boumaza, G. Mangin, J. Penney, G. Annio, S. Laouirem, M. Albuquerque, S. Holm, K. Sølna, V. Vilgrain, V. Paradis, R. Sinkus INSERM, PARIS, France Impact: This approach offers a non-invasive biomarker for evaluating therapies, advancing personalized treatments for liver metastases
		Computer Number: 108 2684. Amide Proton Transfer-weighted MRI in predicting pathological complete response of rectal adenocarcinoma P. Xie, Q. Huang, L. Yang, K. Niu, D. Ma, X. Meng The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China Impact: APTw MRI may help identify patients with a good response.
		Computer Number: 109 2685. Amide Proton Transfer Imaging in Pancreatic Ductal Adenocarcinoma and Pancreatic Parenchyma View Presentation Video A. Kanki, Y. Fukukura, Y. Sato, Y. Ueda, T. Iwanaga, A. Yamamoto, T. Tamada Kawasaki Medical School, Kurashiki, Japan Impact: Pancreatic APT signal in APT-TSE is affected by the presence of fat deposition. Therefore, APT-Dixon is essential for analysis of the pancreatic APT signal. APT imaging in the pancreas may have the potential to assess the biological behaviour of PDAC.
		Computer Number: 110 2686. Prediction of Micrometastases in Colorectal Cancer Liver Metastasis Using Habitat Analysis Based on Multi-parametric MRI View Presentation Video H. Zhang, P-Y Wu, T. Tong Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China；Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China, Shanghai, China Impact: This study provides a powerful tool for preoperative prediction, optimizing surgical strategies and enhancing patient quality of life.

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