ISMRM25 - Quantifying in Body MRI

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

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Quantifying in Body MRI

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Quantifying in Body MRI

Digital Poster

Body

Monday, 12 May 2025

Exhibition Hall

13:45 - 14:45

Session Number: D-71

No CME/CE Credit

		Computer Number: 81 1737. MR Measurements of Tolvaptan Effect on TKV: Experience in 36 ADPKD Patients View Presentation Video H. Dev, A. Sharbatdaran, J. Blumenfeld, C. Zhu, D. Shimonov, J. Chevalier, S. Donohue, A. RoyChoudhury, A. Wu, M. Prince Weill Cornell Medicine, New York, United States Impact: MRI-based ht-TKV measurements and serum urine osmolality can now be used to more accurately assess individual responses to tolvaptan in ADPKD. This enables radiologists and nephrologists to tailor treatments by identifying those most likely to benefit from therapy.
		Computer Number: 82 1738. Feasibility Study of Magnetic Transfer Imaging in Predicting Pancreatic Fistula After Distal Pancreatectomy View Presentation Video M. Yang, J. Chen, J. Zhang, Y. Lan, D. Hu, F. Liu, Q. Jiang, J. Lv, J. Zhang The Third Affiliated Hospital of Soochow University , Changzhou, China Impact: Magnetization transfer imaging (MTI) provides a non-invasive method for predicting clinically relevant pancreatic fistula after distal pancreatectomy, aiding in the identification of high-risk patients and enabling early intervention strategies to improve postoperative outcomes.
		Computer Number: 83 1739. Optimized methods for robust calculation of chemical shifts in hyperpolarized 129Xe MR spectroscopy View Presentation Video S. Lee, A. McHorse, A. Costelle, B. Driehuys Duke University, Durham, United States Impact: Using dedicated ¹²⁹Xe gas-phase excitation to calculate the 0-ppm reference frequency yielded more repeatable and accurate quantifications of the RBC shift than standard practice, enabling more robust characterization of lung disease via ¹²⁹Xe MRS.
		Computer Number: 84 1740. Reproducibility of phase-resolved functional lung (PREFUL) ventilation MR Imaging at 3 T Y. Zhang, T. Yin, R. Grimm, C. Xia, Z. Li Department of Radiology, West China Hospital of Sichuan University, Chengdu, China Impact: These findings offer preliminary evidence supporting the reliability of ventilation parameters at 3T, suggesting their potential for long-term monitoring of patients.
		Computer Number: 85 1741. Mucus Detection and Quantification in the Lung Using UTE-DESS: A Phantom Study View Presentation Video E. Fu, S. Sedaghat, J. Park, M. Madani, H. Jang University of California, Davis, Sacramento, United States Impact: This study demonstrates the potential of UTE-DESS MRI to quantify mucus in the phantom model, offering a novel imaging approach that could enhance disease monitoring, assess therapeutic responses, and improve understanding of mucus-related dynamics in chronic respiratory conditions.
		Computer Number: 86 1742. Measuring the effects of placental contractions on placental blood flow using a combined T2* and 1D quantitative flow sequence View Presentation Video G. Hutchinson, A. Turnbull, R. Li, L. Dewick, C. Bradley, N. Dellschaft, K. Walker, N. Jones, X. Chen, P. Gowland The University of Nottingham, Nottingham, United Kingdom Impact: This work is the first analysis of how a placental contraction affects the blood flow within the placenta, and indicates that they do alter the flow of blood within the organ.
		Computer Number: 87 1743. Assessment of Renal Fibrosis in Patients with Chronic Kidney Disease Using mDIXON-Quant Imaging Technology W. Wang, Y. Ju, l. lin, j. wang, A. Liu The First Affiliated Hospital, Dalian Medical University, dalian, China Impact: This study demonstrates that partial parameters obtained by two renal measurements of the mDixon-Quant sequence can noninvasively predict the proportion of glomerulosclerosis in patients with chronic kidney disease.
		Computer Number: 88 1744. Study of Intra-Pancreatic Fat's Impact on Acute Non-Biliary Pancreatitis with MRI Detection R. Zhang, Y. Wang, X. Chen, J. Wang, Y. Cheng Department of Radiology, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, China Impact: Understanding the role of IPFD in pancreatic diseases is beneficial for preventing these diseases by controlling visceral fat accumulation. The application of MR fat quantification allows doctors to more effectively identify patients in need of intervention.
		Computer Number: 89 1745. Diagnostic Performance of PDFF, MRE, and T1 Mapping for Detection of NASH and streamline MRI protocol X. Lu, Y. Xiao, C. Yang Shanghai Geriatric Medical Center, Shanghai, China Impact: As an active form of NAFLD, NASH can accelerate fibrosis, leading to end-stage liver disease and hepatocellular carcinoma. A streamlined non-contrast liver imaging protocol consisting of PDFF and MRE-based LSM can diagnose NASH satisfactorily and cost-effectively.
		Computer Number: 90 1746. Prognostic prediction of pancreatic ductal adenocarcinoma lymph node metastasis using the HISTO technique F. y. Liu, Q. Jiang, M. Yang, J. Lv, J. Zhang, W. Xing, J. Chen, J. Zhang The Third Affiliated Hospital of Soochow University, Changzhou, China Impact: This research highlights the promising potential of HISTO technique in preoperatively predicting the lymph node metastasis of PDAC, offering valuable insights for clinical decision-making.
		Computer Number: 91 1747. Improved Prostate Luminal Water Fraction Estimation from Radial Turbo Spin-Echo Imaging Using ANN-WGAN View Presentation Video J. Zhang, J. Xiao, A. Lim, M. Aron, S. Cen, Z. Fan University of Southern California, Los Angeles, United States Impact: This work introduces a more robust method for Luminal Water Fraction (LWF) estimation in prostate MRI, enhancing lesion differentiation and reducing reliance on predefined training data. It improves LWF consistency and reliability, potentially aiding in prostate cancer imaging and diagnosis.
		Computer Number: 92 1748. Automatic generation of hepatobiliary phase relative enhancement maps through Gd-EOB-DTPA enhanced MR images for diagnosis liver fibrosis View Presentation Video X. Zhang TIANJIN FIRST CENTRAL HOSPITAL, Tianjin, China Impact: This study compares the RE map of liver SI with the degree of LF, which can help us better understand the overall degree of LF and the differences between liver segments.
		Computer Number: 93 1749. Pancreatic Fat Fraction as a Biomarker for Type 2 Diabetes Mellitus in Obese Individuals: An MRI-Based Study R. Zhang, Y. Zhu, Y. Hao The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China Impact: This research could guide early T2DM detection in obese patients and inform targeted therapeutic interventions.
		Computer Number: 94 1750. Clinical Validation of Deep-learning Approach to Estimate Proton-Density Fat Fraction from In-phase and Out-of-phase T1-weighted MRI View Presentation Video M. C. Yavuz, D. Harris, S. Reeder, C. B. Sirlin, Y. Yang, K. Wang UCSF, San Francisco, United States Impact: AI-IOP enables reliable liver fat quantification with common T1w-IOP sequences, enhancing MASH diagnosis where advanced CSE methods are unavailable.
		Computer Number: 95 1751. Machine Learning Model for Non-invasive Liver Fibrosis Staging on MRI and its Added Value to Ultrasound Liver Stiffness Measurements View Presentation Video Y. Sun, J. Zha, C. Zhang, C. Wang, Y. Song, Y. Yi, S. Ju, G. Yang Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China Impact: T1-delay MR can be combined with LSM for non-invasive liver fibrosis classification, enabling early detection of liver fibrosis and timely intervention.
		Computer Number: 96 1752. Placental morphology assessment in growth-restricted fetuses using MRI View Presentation Video D. Schonberger, T. Shemesh, D. Link-Sourani, A. Rabinowich, B. Specktor-Fadida, L. Ben-Sira, L. Joskowicz, L. Hiersch, G. Marom, D. Ben Bashat Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel Impact: Placental morphology features based on structural MRI, including umbilical cord insertion site, placental volume, and maternal surface areas, demonstrated significant alterations in growth-restricted fetuses, and may provide a simple tool to improve identification of fetuses at risk for FGR.

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