ISSN# 1545-4428 | Published date: 19 April, 2024
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At-A-Glance Session Detail
   
Flushing Out: Kidney & Bladder I
Digital Poster
Body
Tuesday, 07 May 2024
Exhibition Hall (Hall 403)
13:30 -  14:30
Session Number: D-29
No CME/CE Credit

Computer #
2747.
113Technical recommendations for renal DCE-MRI: Preliminary results from the consensus project of the ISMRM Renal MR study group
Ebony R. Gunwhy1, Sila Kurugol2,3, Ruth P. Lim4,5, Jeff L. Zhang6, Richard A. Jones7, Frank G. Zöllner8,9, Hayley M. Reynolds10, Mohamed Abou El-Ghar11, Kai T. Block12, Michael L. Pedersen13,14, Paul D. Hockings15,16, Andrew Wentland17, David L. Buckley18, Luis C. Sanmiguel Serpa19,20,21, Iosif A. Mendichovszky22,23, Suraj Serai24,25, Steven Sourbron1, and Ilona A Dekkers26
1Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom, 2Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Department of Radiology and Surgery (Austin), Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Carlton, Australia, 5Department of Radiology, Austin Health, Heidelberg, Australia, 6School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 7Department of Radiology, Children's Healthcare of Atlanta, Atlanta, GA, United States, 8Mannheim Institute for Intelligent System, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 9Computer Assisted Clinical Medicine, Mannheim, Germany, 10Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand, 11Radiology Department, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt, 12Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 13Comparative Medicine Lab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, 14Radiology Research Unit, Department of Clinical Medicine, Odense University Hospital, Odense, Denmark, 15MedTech West, Chalmers University of Technology, Gothenburg, Sweden, 16Antaros Medical, BioVenture Hub, Mölndal, Sweden, 17Department of Radiology, University of Wisconsin, Madison, WI, United States, 18Biomedical Imaging, University of Leeds, Leeds, United Kingdom, 19Department of Radiology, Ghent University Hospital, Ghent, Belgium, 20Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium, 21Ghent Institute of Functional and Metabolic Imaging (GIFMI), Ghent University, Ghent, Belgium, 22Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 23Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 24Core Radiology Research Group, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 25Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 26Department of Radiology, Leiden University Medical Center, Leiden, Netherlands

Keywords: Kidney, DSC & DCE Perfusion, kidney, renal blood flow, standardisation, consensus

Motivation: Clinical translation of renal functional and quantitative MRI is hindered by a lack in standardisation of scan protocols.

Goal(s): To develop expert consensus-based technical recommendations on the acquisition and post-processing of renal DCE-MRI.

Approach: Experts were recruited and surveyed following the Delphi method to create consensus-based technical recommendations in renal DCE-MRI. Preliminary results will be used to construct the second survey round.

Results: 16 experts responded to the preliminary survey. Consensus statements informed by the responses were drafted and will be circulated and refined in the next phase of the project.

Impact: The insights obtained from this work will be invaluable in delivering recommendations that are comprehensive and widely accepted. Consensus-based technical recommendations for renal DCE-MRI aim to contribute to harmonisation of MRI scan protocols across sites, facilitating clinical translation.

2748.
114Volumetric Layer Based Analysis for Quantitative Renal MRI
Alexander J Daniel1 and Susan T Francis1
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom

Keywords: Kidney, Data Analysis, Layers

Motivation: To provide improved methods to estimate cortical-medullary changes in multiparametric MRI measures of the kidney.

Goal(s): To develop an analysis method for use with 3D data to generate quantitative-depth-based cortical-medullary layers which can be applied to any multiparametric map.

Approach: 3DQLayers segments the kidney into layers based on their distance from the renal surface using the Trimesh Python library.

Results: Generated 3D layers can be applied to multiparametric MRI scans collected in the same session. Here, this is applied to assess cortical layer profiles and contour plots of quantitative T1-mapping, R2*-mapping and perfusion measures, and to estimate renal cortical thickness.

Impact: 3DQLayers provides a layer-based analysis technique for renal multiparametric MRI data, extending traditional ROI-based methods. Layer profiles of any quantitative MRI data can be output and average renal cortical thickness estimated, these are important measures to study in renal disease.

2749.
115Renal Mesh to Perform Regional Perfusion Analysis of The Kidney
Luis Carlos Sanmiguel1,2,3, Pieter De Visschere1,2, and Pim Pullens1,3,4
1Department of Radiology and Nuclear Medicine, Ghent University Hospital, Gent, Belgium, 2Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium, 3Ghent Institute of Functional and Metabolic Imaging (GIFMI), Ghent University, Gent, Belgium, 4IBiTech– Medisip, Ghent University, Gent, Belgium

Keywords: Kidney, Kidney

Motivation: ASL-measured perfusion values are assumed to change homogeneously across the kidney. We believe that additional information might be retrieved by analyzing regional perfusion differences. 

Goal(s): Renal perfusion is assumed to decrease with aging but also in renal pathologies.

  • Does renal perfusion decrease uniformly?

Approach:

  • Retrieve renal ASL images from 27 subjects.
  • Create one 2D mesh per subject.
  • Pool the results for 3 different groups.
  • Analyze the variation of renal perfusion.

Results:

  • Patients compared to younger healthy volunteers (HVs) show lower perfusion.
  • Patients compared to older HVs exhibit a negative variation in the kidney lateral outermost region, while other regions show higher perfusion values.

Impact: Understanding kidney blood flow patterns could aid early disease detection and personalized treatments. Identifying specific regions affected in kidney patients might improve targeted therapies. This knowledge may enhance patient outcomes, potentially leading to a better life quality for kidney patients.

2750.
116Quantification of Whole-Organ Renal Metabolic Rate of Oxygen Consumption During Free-Breathing
Nada Kamona1,2, Rajiv S. Deshpande1, Michael C. Langham1, Marianne Nabbout1, and Felix W. Wehrli1
1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States

Keywords: Kidney, Kidney

Motivation: Whole-organ renal oxygen metabolism increases by 40-65% during early stages of kidney disease. Current biomarkers are sensitive to later kidney disease stages once tissue damage has already occurred.

Goal(s): Non-invasively quantify renal metabolic rate of oxygen during free-breathing, to be used as a potential biomarker for early diagnosis of kidney disease. 

Approach: A new MRI sequence was tested in healthy adults at the left kidney that simultaneously measures blood water T2 and blood flow rate, from which metabolic rate of oxygenation is determined from Fick’s Principle. 

Results: Quantification of metabolic parameters show good agreement between free-breathing and breath-hold acquisitions.

Impact: The renal metabolic rate of oxygen was non-invasively quantified at the left kidney during free-breathing in healthy adults. Renal oxygen metabolism can be a valuable physiological biomarker for early diagnosis of kidney disease before irreversible tissue damage occurs.

2751.
117FID-navigated motion correction for post-contrast T1w-imaging of kidneys
Cemre Ariyurek1, Tess E. Wallace2, Tobias Kober3,4,5, Jeanne Chow1, Onur Afacan1, and Sila Kurugol1
1Radiology, Boston Children's Hospital and Harvard Medical School, Boston, MA, United States, 2Siemens Medical Solutions USA, Inc., Boston, MA, United States, 3Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital and University of Lausanne, Laussane, Switzerland, 5LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Laussane, Switzerland

Keywords: Kidney, Motion Correction

Motivation: Post-contrast T1-weighted imaging is vital for diagnosing renal MRI by assessing vasculature, finding vascular abnormalities, and evaluating kidney function. However, breathing motion degrades image quality, which is problematic since breath-holding is difficult for some patients, especially children. 

Goal(s): There is an urgent need for motion-robust renal imaging for breath-holding challenged patients.

Approach: In this study, we demonstrated the effectiveness of FIDnavs in correcting motion-related artifacts in clinical post-contrast T1w-imaging of kidneys. We evaluated our pipeline on 5 pediatric patients, both retrospectively and prospectively, using FIDnav-based motion correction (MoCo).

Results: Utilizing FIDnavs for MoCo, reduced motion artifacts and blurring in post-contrast T1w-imaging. 

Impact: Use of FID-navigated motion correction for post-contrast T1w-imaging of kidneys can reduce motion artifacts and minimize the scan time by eliminating the need of gating. However, the calibration step required for prospective motion correction should be eased for pediatric patients. 

2752.
118Assessment of Renal Water Exchange by T2 Selective Labeling
Narjes Jaafar1,2, Manuel Taso1,2, and David C Alsop1,2
1Beth Israel Deaconess Medical Center, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States

Keywords: Kidney, Kidney

Motivation: Alterations of renal water transport and exchange may reflect kidney function and disease.

Goal(s): To develop and test a novel sequence for quantitative assessment of intrarenal fluid exchange.

Approach: We developed a T2 selective labeling sequence for water exchange quantification and tested it on healthy subjects.

Results: Images showed a characteristic spatial distribution of signal with increased signal in the renal medulla, in support of its detection and assessment of fluid exchange.

Impact: Exchange imaging by T2 selective saturation may open new possibilities for the study of water transport and exchange and the diagnosis of renal disorders.

2753.
119Navigator-gated 2D radial MR fingerprinting of the kidney at 3T.
Pauline Calarnou1, Augustin C. Ogier1, Jean-Baptiste Ledoux1,2, Ibtisam Aslam3, Jean-Paul Vallée3, Jérôme Yerly1,2, and Ruud B. Van Heeswijk1
1Radiology, Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2CIBM Center for BioMedical Imaging, Lausanne, Switzerland, 3Radiology Service, Department of Diagnostics, Geneva University Hospital and University, Geneva, Switzerland

Keywords: Kidney, MR Fingerprinting

Motivation: A free-breathing renal joint T1-T2 MR fingerprinting technique with respiratory navigators would allow kidney function to be mapped non-invasively in patients that cannot hold their breath.

Goal(s): To assess the effect of rejected respiratory navigators on the relaxation times and their precision.

Approach: Joint kidney T1-T2 maps with four different navigator acceptance window widths (NAWW, from ±4mm to ±32mm) were acquired in 8 healthy volunteers and compared to clinical routine maps.

Results: Map accuracy and precision were high and did not change as a function of NAWW, suggesting that the NAWW can be chosen as a balance between navigator inefficiency and through-plane motion.

Impact:  This work demonstrates the feasibility of a free-breathing 2D joint T1-T2 renal MR fingerprinting in healthy volunteers. The navigator allows a free breathing acquisition with limited through-plane motion.

2754.
120Simultaneous and Respiratory Motion-Synchronized T2 and T2* Mapping of the Human Kidneys
Jose Raul Velasquez Vides1,2, Carl J. J. Herrmann1,3, Thomas Gladytz1, Shahriar Shalikar1, Jason M. Millward1, Sonia Waiczies1, Erdmann Seeliger4, Hendrik Mattern5,6,7, Georg Rose2,8, and Thoralf Niendorf1,9
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Institute for Medical Engineering, Otto von Guericke University, Magdeburg, Germany, 3Department of Physics, Humboldt University of Berlin, Berlin, Germany, 4Charité - Universitätsmedizin Berlin, Berlin, Germany, 5Department of Biomedical Magnetic Resonance, Otto-von-Guericke University, Magdeburg, Germany, 6German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany, 7Center for Behavioral Brain Sciences (CBBS), Berlin, Germany, 8Research Campus STIMULATE, Otto von Guericke University, Magdeburg, Germany, 9Experimental and Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany

Keywords: Kidney, Quantitative Imaging

Motivation: Quantitative MRI techniques, such as T2 and T2* mapping, have the potential to become important imaging biomarkers for non-invasive renal tissue assessment. However, clinical T2 and T2* mapping faces challenges posed by respiratory motion.

Goal(s): This study explores the feasibility of simultaneous T2 and T2* mapping of the human kidneys with mitigated respiratory motion artifacts, using the 2in1-RARE-EPI technique.

Approach: We used the distinctive acoustic noise pattern generated by the gradient coil switching during 2in1-RARE-EPI data acquisition to guide the subject to time their respiration during the scan.

Results: This approach facilitates high in-plane resolution (1x1x5mm3) T2 and T2* mapping of human kidneys. 

Impact: Our approach for simultaneous and motion-synchronized T2 and T2* mapping of the human kidney provides a technical foundation for swift translation into the clinic and for gaining a better mechanistic understanding of renal (patho-)physiology.

2755.
121The effect of fasting on renal phase contrast and arterial spin labelling
Bashair Alhummiany1, David L. Buckley1, David Shelley2, Kanishka Sharma3,4, and Steven Sourbron4
1Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom, 2Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom, 3Antaros Medical AB, Mölndal, Sweden, 4The University of Sheffield, Sheffield, United Kingdom

Keywords: Kidney, Kidney, Renal blood flow, Perfusion, Phase contrast, Arterial spin labelling

Motivation: Variations in dietary conditions can impact renal blood flow (RBF), but it is currently unknown whether fasting overnight can affect the measurement. A recent consensus for phase contrast (PC) advises against fasting, but similar consensus for arterial spin labelling (ASL) was not reached. Other laboratory tests might require fasting, leading to variability in preparation for MRI. It is therefore critical to understand whether fasting affects the measurement

Goal(s): This study investigates the effect of fasting compared to the recommended MRI preparation.

Approach: ASL and PC acquired in healthy volunteers.

Results: No significant difference between fasting and consensus-preparation was found for RBF and perfusion.

Impact: A strict control for diet may not be required for MRI studies measuring renal blood flow and perfusion using phase contrast and arterial spin labelling. 

2756.
122MRE-derived Anisotropic Stiffness Estimation in Kidneys
Gregory McClanahan1 and Arunark Kolipaka1
1The Ohio State University, Columbus, OH, United States

Keywords: Kidney, Kidney

Motivation: Magnetic Resonance Elastography (MRE) can determine tissue isotropic stiffness measurements to assess kidney disease and injury. Similarly, Diffusion Tensor Imaging (DTI) in combination with MRE can provide additional information regarding tissue health through anisotropic stiffness.

Goal(s): The goal of this study is to compute tissue isotropic and anisotropic stiffness of the cortex, medulla, and whole kidney to compare against both measurements.

Approach: 9 subjects were imaged for both MRE and DTI scans to estimate isotropic and anisotropic stiffness, respectively.

Results: Preliminary results indicate a good correlation between isotropic stiffness and anisotropic stiffness in all regions.

Impact: The application of MRI diffusion scans in conjunction with MRE shows promise in elucidating hard to detect disease and injury in human kidney.

2757.
123Virtual elastography based on an intravoxel incoherent motion for assessing chronic kidney disease
Yueyao Chen1, Ruirui Qi1, Wenxi Liu2, Qiumei Liang1, Peiyin Luo1, Junfeng Li1, Qiuyi Chen1, Jingtong Pan1, Feifei Qu3, Haodong Qin4, Yanglei Wu5, Fanqi Meng1, and Hanqing Lyu1
1Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital (The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine), Shenzhen, China, 2Shenzhen University, Shenzhen, China, 3MR Research Collaboration, Siemens Healthineers, Shanghai, China, 4MR Research Collaboration, Siemens Healthineers, Guangzhou, China, 5MR Research Collaboration, Siemens Healthineers, Beijing, China

Keywords: Kidney, Data Analysis, Aging, chronic kidney disease, diagnosis,renal stiffness, intravoxel incoherent motion, shifted apparent diffusion coefficients ,virtual elastography

Motivation: Various b values of shifted apparent diffusion coefficients (sADC) and virtual magnetic resonance elastography (vMRE) were not validated for renal stiffness. Hence, a new method was required for assessing chronic kidney disease (CKD) noninvasively.

Goal(s): To investigate the relationship between sADC and vMRE and the clinical indicators and diagnostic efficacy of CKD.

Approach: The μdiff generated with sADC was used to quantify renal stiffness. The data were analyzed using Spearman, partial correlation, Mann–Whitney U test, and receiver-operating characteristic curves. 

Results: sADC and vMRE were effective in assessing renal function and diagnosing CKD, but distinctly at various b values.

Impact: This study provides a reference b value for sADC and vMRE and suggests that vMRE could be used as a new noninvasive technique to assess chronic kidney disease. 

2758.
124Combining ASL and MRE to Investigate the Impact of Perfusion on Renal Stiffness in Patients with CKD: A Preliminary Study
Yueyao Chen1, Peiyin Luo1, Ruirui Qi1, Qiuyi Chen1, Junfeng Li1, Qiumei Liang1, Wenxi Liu2, Haodong Qin3, bernd kuehn4, Fanqi Meng1, Hanqing Lyu1, Jingtong Pan1, Feifei Qu5, and Yanglei Wu6
1Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital (The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine), Shenzhen, China, 2Shenzhen University, Shenzhen, China, 3MR Research Collaboration, Siemens Healthineers, Guangzhou, China, 4MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany, 5MR Research Collaboration, Siemens Healthineers, Shanghai, China, 6MR Research Collaboration, Siemens Healthineers, Beijing, China

Keywords: Kidney, Arterial spin labelling, Magnetic resonance elastography, chronic kidney disease, perfusion assessment, renal stiffness

Motivation:  The impact of renal perfusion on stiffness values is yet to be conclusively validated, which has hindered the diagnostic application of magnetic resonance elastography (MRE) in patients with chronic kidney disease (CKD).

Goal(s): To explore the characteristics of renal perfusion and stiffness values in patients with CKD and their correlation.

Approach:  Renal MRE and arterial spin labeling (ASL) were used to measure renal stiffness and blood flow. The study employed t-test, receiver-operating characteristic curves, and Spearman correlation for data analysis.

Results:  The two techniques were effective in diagnosing CKD, simultaneously confirming the influence of perfusion factors on stiffness.

Impact: This preliminary human study further supported the correlation between renal stiffness and perfusion, supporting the enhanced diagnostic efficacy of combining MRE and ASL for CKD, thus facilitating staging.

2759.
125Multi-Parametric MRI using Quantitative Non-Contrast Imaging for the Evaluation of Patients with Chronic Kidney Disease
Durga Udayakumar1, Limin Zhou1, and Ananth J Madhuranthakam2
1Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2UT Southwestern Medical Center, Dallas, TX, United States

Keywords: Kidney, Kidney, CKD, ASL, DWI, BOLD, MRE

Motivation: Multiparametric (mp) MRI can enable functional characterization of entire kidneys for the assessment of patients with chronic kidney disease (CKD).

Goal(s): To evaluate quantitative mpMRI for functional characterization in CKD patients and compare against healthy volunteers.

Approach: Seven CKD patients and 6 healthy volunteers underwent MRI including ASL (perfusion), DWI (cellularity), BOLD (oxygenation), and MRE (fibrosis).

Results: ASL measured perfusion was significantly lower in CKD patients compared to healthy volunteers (P<0.05), while DWI measured ADC was not different (P=0.36). BOLD measurement was statistically different in Medulla (T2*: P=0.009; R2*: P=0.05), but was not different in cortex (T2*: P=0.08; R2*: P=0.32).

Impact: Multi-parametric MRI, particularly using ASL measured perfusion and BOLD measured R2* provides functional characterization of kidneys that could facilitate longitudinal monitoring and therapeutic interventions in CKD patients.

2760.
126Early renal function assessment and follow-up after renal transplantation using various diffusion models
Ping Yang1, Lihua Chen1, Jinxia Zhu2, Robert Grimm3, Alto Stemmer3, and Wen Shen1
1Tianjin First Center Hospital, Tianjin, China, 2MR Research Collaboration, Siemens Healthineers Ltd, Beijing, China, 3MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany

Keywords: Kidney, Transplantation, kidney

Motivation: Although renal biopsy is the gold standard for the diagnosis of renal allograft dysfunction, it is an invasive procedure. Magnetic resonance imaging (MRI) can be used to evaluate renal allograft function in a noninvasive manner.

Goal(s): To investigate the utilities of various diffusion models in evaluating early renal allograft function.

Approach: Follow-up MRI was performed at 14, 30, and 90 days after renal transplantation to evaluate correlations between MRI parameters and estimated glomerular filtration rate, along with their abilities to measure renal function after transplantation.

Results: Various diffusion models can reflect changes in early renal function after transplantation.

Impact: Intravoxel incoherent motion and diffusion kurtosis imaging models may serve as useful tools to investigate early renal function after transplantation.