Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

MRI of Renal Function

Power Pitch

Body

Wednesday, 13 May 2026

Power Pitch Theatre 1

13:40 - 15:16

Moderators: Kejia Cai & Oliver Gurney-Champion

Session Number: 551-02

No CME/CE Credit

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Emerging kidney MRI techniques extend beyond morphology to offer functional and metabolic insights. BOLD MRI noninvasively evaluates renal oxygenation, while CEST MRI probes tissue pH and endogenous metabolites, revealing microenvironmental and metabolic alterations in renal parenchyma. Hyperpolarized ¹³C-pyruvate MRI enables real-time visualization of renal metabolic flux. Ultra-high-field 7T MRI enhances sensitivity for functional and metabolic imaging. AI supports automated segmentation and improve the assessment of renal diseases.

13:40		551-02-001. Impact of Hydration Status on Inferior Vena Cava and Renal Vein 4D Flow MRI Measurements Andrew Huang, Patrick Winter, Ali El Ahmar, Adrian Duckert, Andrea Obi, C. Alberto Figueroa, Susanne Schnell University of Michigan, Ann Arbor, United States of America Impact: Deep venous dual-VENC 4D-Flow-MRI results reflect the patients’ hydration status. A fluid bolus may assess flow compensation for stenoses with 4D flow. There is a need to standardize hydration protocols for patients for venous 4D-Flow-MRI exams.
13:42		551-02-002. Advancing 7T Renal ASL Imaging towards Clinical Translation: A Single Kidney Study Xiufeng Li, Gregory Metzger Center for Magnetic Resonance Research, Dept. of Radiology, University of Minnesota, Minneapolis, United States of America Impact: Renal ASL at 7T has shown several advantages over 3T. Increased sensitivity allows for acquisitions in a single breath-hold which in turn addresses motion related artifacts. Methods improving robustness and reducing complexity at 7T would aid in clinical translation.
13:44		551-02-003. Parenchymal Tissue Segmentation in a Multi-Vendor Chronic Kidney Disease Cohort Alexander Daniel, Charlotte Buchanan, James Stowe, Eleanor Cox, Andrew Priest, David Thomas, Mark Gilthorpe, Philip Kalra, Iosif Mendichovszky, Steven Sourbron, Maarten Taal, Nicholas Selby, Susan Francis University of Nottingham, Nottingham, United Kingdom Impact: This work presents a convolutional neural network (CNN) for automated parenchyma segmentation in Chronic Kidney Disease participants in the presence of morphological abnormalities (fluid, cysts, asymmetric/large kidneys), making it feasible to explore the impact of kidney morphology on renal function.
13:46		551-02-004. The Development of a Novel DiaCEST Platform with Highly Shifted Exchanging Proton Mai Huynh, Sara Chirayil, Janaka Wansapura, Elena Vinogradov, Xiaodong Wen, Mariangela Boccalon, Emily Buchanan, Zsolt Baranyai, Zoltan Kovacs University of Texas Southwestern Medical Center, Dallas, United States of America Impact: This innovative diaCEST platform represents a major advancement in contrast agent development. The large chemical shift of the exchanging proton (>12 ppm from water) provides exceptional selectivity and reproducibility by eliminating spectral overlap and background magnetization transfer interference.
13:48		551-02-005. Metabolic Imaging of Hyperpolarized 13C Pyruvate in a Murine Model of Polycystic Kidney Disease Abubakr Eldirdiri, Joshua Rogers, Salaheldeen Elsaid, kimia kamrani, Patricia Outeda Garcia, Molly Goodfellow, Owen Woodward, Terry Watnick, Sui-Seng Tee, Dirk Mayer University of Maryland School of Medicine, Baltimore, United States of America Impact: We identified a distinct hyperpolarized ¹³C metabolic signature in Polycystic Kidney Disease: higher total pyruvate and lower pyruvate-to-lactate conversion, which can be used to track disease progression and evaluate new metabolic-targeted therapies.
13:50		551-02-006. Comparative Performance of CT and Non-Contrast MRI in the Risk Stratification of Upper Tract Urothelial Carcinoma WEI WANG, Lei Yu, Jingyun Wu, Jianxing Qiu Peking University First Hospital, Beijing, China Impact: Non-contrast MRI offers superior T-staging and functional insights for UTUC without nephrotoxicity, benefiting renal-impaired patients and enhancing preoperative risk stratification and treatment planning.
13:52		551-02-007. Assessment of baseline renal MRI data in the AFiRM Chronic Kidney Disease Study Susan Francis, Charlotte Buchanan, Martin Craig, Alexander Daniel, Andrew Priest, Eleanor Cox, Margot Roeth, James Stowe, Kevin Teh, David Thomas, Mark Gilthorpe, Philip Kalra, Maarten Taal, Iosif Mendichovszky, Steven Sourbron, Nicholas Selby University of Nottingham, Nottingham, United Kingdom Impact: Demonstration of multiparametric renal MRI protocol in CKD and the importance of accounting for B₁-field inhomogeneity to reduce technical variance, providing improved measures for use in the future study of whether MRI can track disease progression better than conventional biomarkers.
13:54		551-02-008. Multi-Parametric Magnetic Resonance Imaging for Evaluating Renal Structure and Function in Chronic Cardiorenal Syndrome Kaiming Xue, xiaoming Liu, Yueluan Jiang, Bernd Kuehn, Omar Darwish, Mengchao Zhang China-Japan Union Hospital of Jilin University, Changchun, China Impact: Our study indicated that multiparametric MRI provide a novel and sensitive imaging biomarker to noninvasively detect the early-stage kidney injury and its underlying pathophysiological mechanisms in patients with chronic CRS.
13:56		551-02-009. A diffusion weighted MR study of individual kidney function decline in kidney cancer patients Nima Gilani, Xiaochun Li, Deepesh Goel, Nalini Jeet, Judith D. Goldberg, Mary Bruno, Kent Friedman, Karolina Soltys, Vasishta S Tatapudi, William C Huang, Hersh Chandarana, Eric Sigmund Center for Advanced Imaging Innovation and Research (CAI²R), New York University Grossman School of Medicine, New York, United States of America Impact: Clinical nephrology metrics are known to have prediction potential for kidney function prognosis after partial nephrectomy. Alternatively, pre-operative diffusion tensor imaging and intravoxel incoherent motion may provide such a prediction due to sensitivity to kidney quality and microvasculature, respectively.
13:58		551-02-010. Unraveling Cardiorenal Hemodynamic Coupling in Acute Cardiorenal Syndrome: A Synchronized Cardio-Renal 4D Flow MRI Study Lihui Kang, Puzheng Wen, Shuai Ma, Jingzhe Liu The First Affiliated Hospital of Tsinghua University, Beijing, China Impact: This study establishes total renal blood flow(TRBF) and diastolic kinetic energy as novel quantitative biomarkers derived from synchronized cardio-renal 4D Flow MRI, providing a direct pathway for early detection and mechanistic investigation of acute cardiorenal syndrome.
14:00		551-02-011. Neurobiological Pathways Underlying Post-Traumatic Stress Symptoms in Kidney Transplant Recipients: A Voxel-Based Morphometry 昕怡王, Xinyi Zhu, Hengchang Zhang, Zhaoyao Luo, Junya Mu, Ming Zhang, Shaohui Ma, Guangxu Han The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China Impact: This study reveals brain structural changes linked to PTSS in kidney transplant recipients and uncovers a potential neuroimmune mechanism, offering new insights into post-transplant mental health and guiding future interventions targeting microglial dysfunction.
14:02		551-02-012. Progressive Worsening of White Matter Hyperintensity Burden Across Stages of Cardiovascular-Kidney-Metabolic Syndrome Jiayu Wu, Jinping Lin, Bin Guo, Qiyong Gong Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging. West China Hospital of Sichuan University, Chengdu, Sichuan, China Impact: Our findings establish CKM staging as a key indicator of subclinical brain injury. This highlights the urgent need for integrated care models that manage systemic CKM factors to preserve brain health and prevent future cognitive decline.
14:04		551-02-013. Cortical Structural Alterations Associated with Cognitive Impairment in End-Stage Renal Disease: A 5.0T MRI Study Xia Luo, HuiLin Chen, SiHan Zhao, Sisi Dang, Zhaoyao Luo, Qiange Zhu, YiXin Zhang, Xinyi Zhu, Junya Mu, Shaohui Ma, Ming Zhang The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China Impact: This study provides new insights into the neural mechanisms of cognitive impairment in ESRD by using 5.0 T MRI with a 3D T1-weighted sequence to explore cortical structural alterations, offering potential neuroimaging targets for early diagnosis and intervention.
14:06		551-02-014. Blood-brain barrier leakage may be associated with cognitive decline in chronic kidney disease patients Wenbo Yang, Lijun Song, Yanfang Tan, Boyan Xu, Min Li, Weikang Guo, Hao Wang, Zhenchang Wang Beijing Friendship Hospital, Capital Medical University, beijing, China Impact: Chronic kidney disease patients exhibit blood–brain barrier leakage linked to cognitive decline. Quantifying this impairment with FEXI provides new insights into the kidney-brain axis and the neurovascular mechanisms underlying CKD-related cognitive decline.
14:08		551-02-015. Cingulate gradient dysfunction in ESRD and releated clinical phenotypes and underlying gene expression profiles Peng Li, Junya Mu, Ming Zhang, Wen Wang Nuclear Industry 215 Hospital of Shaanxi Province, Xianyang, China Impact: The imbalances in the hierarchical organization of the cingulate functional connectome gradient in ESRD patients is likely driven by the effect of neurodegenerative processes. Uremic toxins and anemia are additionally implicated in cingulate gradient dysfunction.
14:10		551-02-016. Evaluation of Renal Blood Flow using PCASL in Chronic Kidney Disease patients and healthy controls: preliminary results from Rebeca Echeverria-Chasco, Leyre Garcia-Ruiz, Malene Aastrup, Verónica Aramendía-Vidaurreta, Michela Bozzetto, Paolo Brambilla, Esben Hansen, Jose Maria Mora-Gutierrez, Siria Pasini, Anish Raj, Steffen Ringgaard, Anika Strittmatter, Manuel Taso, Ioana Urdea, Tau Vendelboe, Marta Vidorreta, GIULIA VILLA, Niels Buus, Nuria Garcia-Fernandez, Matias Trillini, David Alsop, Susan Francis, Christoffer Laustsen, Frank Zoellner, Anna Caroli, Maria Fernandez-Seara Clinica Universidad de Navarra, Pamplona, Spain Impact: Harmonized PCASL sequences show promise for renal blood flow measurements in CKD patients and controls in a multi-center and multi-vendor study. RBF is significantly reduced in patients with CKD stage 3 compared to CKD Stage 2 patients and controls