| 08:15 | 0776.
 | Simultaneous Multiparametric Quantitative MRI for Abdominal Imaging in a Single Breath-hold with MRF-EPTI Di Cui1, Zhen J Wang1, Yan Li1, Duan Xu1, Peder E.Z. Larson1, and Xiaoxi Liu1
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States Keywords: Kidney, New Trajectories & Spatial Encoding Methods, Abdomen Motivation: Multiparametric mapping is essential in the assessment of renal physiology and
physiopathology, while the conventional quantitative MR methods requires long acquisition
time and multiple breath-hold periods. Goal(s): To develop an efficient simultaneous multiparametric quantification method for abdomen imaging. Approach: MRF-EPTI technique was applied for quantitative abdomen imaging. The repeatability was evaluated by in-vivo scans on two healthy volunteers. Motion sensitivity was evaluated with/without breath-hold. Results: Simultaneous multiparametric quantification of T1, T2, T2*, proton density and quantitative susceptibility mapping including susceptibility source separation for abdominal imaging was achieved in a single breath-hold time (16s). Impact: We acquired simultaneous multiparametric quantification of T1,
T2, T2*, proton density and quantitative susceptibility mapping including
susceptibility source separation, and generated high-quality multi-contrast
synthetic images for abdominal imaging in a single breath-hold with MRF-EPTI
technique. |
| 08:27 | 0777.
 | Native T1-mapping as a Predictor of Progressive Renal Function Decline in Chronic Kidney Disease Patients Zhaoyu Shi1, Chen Sun1, Fei Zhou1, Jianlei Yuan1, Minyue Chen1, Xinyu Wang2, Xinquan Wang1, Dmytro Pylypenko3, and Li Yuan1
1Affiliated Hospital of Nantong University, Nantong, China, 2Nantong University Medical School, Nantong, China, 3GE Healthcare, Beijing, China Keywords: Kidney, Kidney Motivation: Chronic kidney disease (CKD) is recognized as a global public health problem. Thus, there is a pressing need for a non-invasive method to predicting the evolution of CKD. Goal(s): This study aimed to investigate the potential of Native T1-mapping in predicting the prognosis of patients with CKD. Approach: In our study of 119 CKD patients, there was a statistically significant difference in prognosis between the high and low T1 groups in terms of the occurrence of kidney endpoint events. Results: Native T1-mapping has the potential to significantly improve the identification of CKD patients with a higher risk of progressing to end-stage renal disease. Impact: CKD is
increasingly recognized as a global public health problem. Traditional
examination methods, such as renal biopsy, have many limitations. Therefore, we
need to find a non-invasive, alternative method to evaluate the prognosis of
CKD. |
| 08:39 | 0778.
 | Noninvasive assessment of renal function and pathology of CKD using amide proton transfer weighted imaging and diffusion kurtosis imaging Guanjie Yuan1, Zhouyan Liao1, Ping Liang1, Ting Yin2, Wei Chen2, Chuou Xu1, and Zhen Li1
1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Research Collaborations, Siemens Healthineers Ltd., Shanghai, China Keywords: Kidney, Kidney, Amide Proton Transfer; Diffusion kurtosis imaging; Chronic kidney disease; Renal function; Renal pathology Motivation: To explore a noninvasive and sensitive method for detecting the renal insufficiency and pathological abnormality of chronic kidney disease (CKD). Goal(s): To investigate the potential of amide proton transfer-weighted imaging (APTWI) and diffusion kurtosis imaging (DKI) as viable tools for assessing renal function and pathology of CKD. Approach: To analyze the differences and diagnostic performances of MRI metrics between different renal dysfunction and pathological injury groups. Results: Both APTWI and DKI can be feasible tools for the noninvasive assessment of renal functional and pathological changes associated with CKD. APT exhibits superior diagnostic efficacy than MD in detecting early renal dysfunction and pathological abnormalities. Impact: The study suggests that APTWI and DKI
provide valuable information regarding the renal function and pathology, which has
great significance in guiding risk stratification and longitudinal follow-up of
CKD. |
| 08:51 | 0779.
 | The Application of FunctIonal Renal MRI to improve assessment of Chronic Kidney Disease (AFiRM) Study Susan T Francis1, Charlotte E Buchanan1, Alexander J Daniel1, David M Morris2, Andrew Priest 3, Kevin Teh4, David Thomas5,6,7, Mark Gilthorpe8, Philip Kalra9, Iosif Mendichovszky10, Maarten Taal11, Steven Sourbron4, Nicholas Selby11, and On behalf of the AFiRM investigators12
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom, 3Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 4Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 5Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 6Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom, 7Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 8Obesity Institute, Leeds Beckett University, Leeds, United Kingdom, 9Salford Royal NHS Foundation Trust, Salford, United Kingdom, 10Department of Radiology, Addenbrooke’s Hospital, Cambridge, United Kingdom, 11Centre for Kidney Research and Innovation, University of Nottingham, Nottingham, United Kingdom, 12Lead study site: University of Nottingham, Nottingham, United Kingdom Keywords: Kidney, Kidney Motivation: The need for better biomarkers to assess progression of Chronic Kidney Disease (CKD). Goal(s): To determine if multiparametric MRI can detect changes in structure and function in CKD. Approach: In the Application of Functional Renal MRI (AFiRM) study, multiparametric MRI is to be collected on 400 CKD participants at baseline and Year 2. The MRI protocol comprises T2- and T1-weighted scans, B0 and B1 mapping, T1, T2 and T2* relaxometry, DWI, MTR, PC-MRI and ASL perfusion. Results: To date, 387 have been scanned, with preliminary MRI analyses on 300 datasets for B0 and B1, T1, T2*, MTR, and Total Kidney Volume (TKV). Impact: Application of the UKRIN-MAPS multiparametric renal MRI protocol to study changes in renal structure and function in CKD progression. This will provide definitive evidence on the question of whether MRI is better at tracking disease progression than conventional biomarkers. |
| 09:03 | 0780.
 | Monitoring diabetic kidney disease progression with DTI and tractography Joao Periquito1, Kanishka Sharma1,2, Kywe Soe1, Bashair Alhummiany3, Jonathan Fulford4, David Shelley3, Mark Gilchrist4, Angela Shore4, Kim Gooding4, Michael Mansfield5, Maria Gomez6, and Steven Sourbron1
1The University of Sheffield, Sheffield, United Kingdom, 2Antaros Medical AB, Mölndal, Sweden, 3Department of Biomedical Imaging Sciences, University of Leeds, Leeds, United Kingdom, 4University of Exeter Medical School, Exeter, United Kingdom, 5Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom, 6Department of Clinical Sciences, Lund University Diabetes Centre, Malmö, Sweden Keywords: Kidney, Kidney Motivation: Previous studies have shown that DTI and tractography may act as early indicator of DKD. Goal(s): The aim of this study was to identify DTI biomarkers that may be sensitive to changes over a relatively short 2-year time frame in early-stage DKD. Approach: Thirteen type-2 diabetic patients were scanned two times during a two-year period on a 3T MRI scanner using a free-breathing diffusion protocol. 180 biomarkers from DTI and tractography were calculated with DIPY. Results: 46 biomarkers showed a significant change over the 2 years, with mean changes that reach over ½ of a standard-deviation and cohen-d effect-sizes up to 0.6 Impact: DTI biomarkers show strong changes in early-stage
diabetic kidney disease over 2-years, a time frame where clinical biomarkers are
typically stable. This finding may have significant implications for clinical
practice if confirmed in the larger population. |
| 09:15 | 0781.
 | Multiparametric Renal MRI Reveals Ethnic Disparities in Multiple Kidney Function Markers in Asian Preadolescents Navin Michael1, Liangjian Lu2, Delicia Shu Qin Ooi3, Chang-Yien Chan2,3, Kashthuri Thirumugan1, Yeshe Kway1, Suresh Anand Sadananthan1, Marielle Fortier4, Bernd Kuhn5, Mary Foong-Fong Chong6, Jia Ying Toh1, Kok Hian Tan7,8, Fabian Yap8,9,10, Yap Seng Chong11, Keith M Godfrey12, Peter Gluckman1,13, Johan G Eriksson1,11,14,15, Yung Seng Lee3, Karen Moritz16, Shiao-Yng Chan11, Mary Wlodek17,18, and S. Sendhil Velan1
1Agency for Science, Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Singapore, Singapore, 2Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore, 3Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 4Department of Diagnostic and Interventional Imaging, KK Women’s and Children’s Hospital, Singapore, Singapore, 5Siemens Healthcare GmbH, Erlangen, Germany, 6Saw Swee Hock School of Public Health, National University of Singapore and National University Health System,, Singapore, Singapore, 7Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore, 8Duke-NUS Medical School, Singapore, Singapore, 9Department of Pediatrics, KK Women's and Children's Hospital, Singapore, Singapore, 10Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore, 11Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 12MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom, 13Liggins Institute, University of Auckland, Auckland, New Zealand, 1414Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland, 15Folkhälsan Research Center, Helsinki, Finland, 16School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, St Lucia, Australia, 17Obstetrics and Gynaecology, University of Melbourne, Parkville, Australia, 18School of Molecular Sciences, The University of Western Australia, Crawley, Australia Keywords: Kidney, Kidney, Volumetry, Diffusion, Perfusion, Oxygenation Motivation: Within Singapore's multiethnic population, Indians and Malays have a higher burden of chronic kidney disease than Chinese. While this has been attributed to higher prevalence of hypertension, diabetes and dyslipidemia, it is not clear if Indians and Malays already have preexisting subclinical renal alterations. Goal(s): Assess ethnic differences in kidney function markers in healthy Asian preadolescents using multiparametric MRI and physiological assessments. Approach: Identify adverse renal function using multiparametric MRI (volumetry, diffusion, perfusion, oxygenation) and physiological assessments (urine albumin, estimated glomerular filtration rate, blood pressure) Results: Indian and Malay preadolescents showed multiple renal alterations which predate the development of diabetes, hypertension or dyslipidemia. Impact: Detailed renal phenotyping of Asian
preadolescents using multiparametric renal MRI and physiological assessments identified
ethnic disparities in multiple renal function markers, which predate the
development of diabetes, hypertension or dyslipidemia, and may help explain the
predisposition for chronic kidney disease. |
| 09:27 | 0782.
 | Quantification of renal oxygenation with field-insensitive T2-preparation and fast acquisition Zixuan Lin1, Dengrong Jiang2, Yi Zhang1, Yi-Cheng Hsu3, Hanzhang Lu2, and Dan Wu1
1Department of Biomedical Engineering, Zhejiang University, Hangzhou, China, 2Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 3MR Collaboration, Siemens Healthineers Ltd., Shanghai, China Keywords: Kidney, Kidney Motivation: T2-based method was recently extended to measure renal oxygen metabolism. However, MLEV T2-preparation can be less robust due to field inhomogeneity in abdomen. Goal(s): The goal is to propose a field-insensitive method for renal oxygenation quantification. Approach: An adiabetic T2-preparation (BIR-n) method was proposed. Simulation and phantom studies was performed to demonstrate the field-insensitivity. In-vivo experiements were conducted to examine the test-retest reproducibility. Results: A robust T2 quantification at different B0 and B1 offsets were demonstrated. In-vivo experiments showed a good test-retest reproducibility. Oxygenation was also found to be consistent between left and right renal veins, and showed significant correlation with blood flow. Impact: The proposed method has the potential to provide accurate and stable estimation of renal oxygen extraction and metabolism in a number of renal diseases. |
| 09:39 | 0783.
 | Deep Learning-based Fully-Automated Detection and Segmentation of Small Renal Masses on Multi-sequences MRI: A Multi-center Study Mengqiu cui1, Zilong Zeng2, He Wang3, Jiahui Jiang4, Jian Zhao1, Xu Bai1, Yuwei Hao1, Huiyi Ye1, and Haiyi Wang5
1Department of Radiology, the First Medical Center, Chinese PLA General Hospital, Beijing, China, 2State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China, 3Radiology Department, Peking University First Hospital, Beijing, Beijing, China, 4Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China, 5Department of Radiology, Chinese PLA General Hospital, Beijing, China Keywords: Kidney, Kidney Motivation: Automated detection and segmentation method could serve as a fundamental step for diagnosis of small renal mass (SRM) Goal(s): To develop and assess automated segmentation method for SRM using a deep learning method based on multi-sequences MRI Approach: A total of 913 SRM patients from three institutions was used in deep learning model training and testing for five sequences (T2WI, T1WI, CP, NP, DP). The model was evaluated on internal and external test set using DSC (dice similarity coefficient) Results: The overall median DSC of five sequences (T2WI, T1WI, CP, NP, and DP) yield 0.824, 0.769, 0.845, 0.847, 0.855 on whole test set. Impact: The value of radiomics in preoperative
diagnosis of benign and malignant SRM had been proven. However, manual segmentation impeded the conduction of radiomics.
Automated
segmentation models could help efficiently build radiomics model and reduce radiologists’
workloads. |
| 09:51 | 0784.
 | Repeatability of DTI and tractography biomarkers in healthy kidneys Joao Periquito1, Kanishka Sharma1,2, Kywe Soe1, Bashair Alhummiany3, Jonathan Fulford4, David Shelley3, Mark Gilchrist4, Kim Gooding4, Angela Shore4, Maria Gomez5, and Steven Sourbron1
1The University of Sheffield, Sheffield, United Kingdom, 2Antaros Medical AB, Mölndal, Sweden, 3Department of Biomedical Imaging Sciences, University of Leeds, Leeds, United Kingdom, 4University of Exeter Medical School, Exeter, United Kingdom, 5Department of Clinical Sciences, Lund University Diabetes Centre, Malmö, Sweden Keywords: Kidney, Kidney Motivation: For clinical application uncertainty of DTI and tractography biomarkers is critical to avoid that management decisions are made based on changes that are due to measurement error. Goal(s): Provide a comprehensive reference guide of estimated uncertainties for DTI and tractography renal biomarkers and use the data to screen these biomarkers based measurement precision. Approach: Five healthy-volunteers were scanned 4 times on 3T MRI scanner using a diffusion free-breathing protocol. DTI and tractography parameters were calculated using DIPY. Results: Tractography markers are less precise than DTI, sphericity is the most reliable of all DTI metrics, and histogram metrics kurtosis and skewness are inherently imprecise. Impact: This study presents comprehensive reference values for error ranges in renal
DTI that will help to identify real (patho)physiological changes in future
clinical results |
| 10:03 | 0785.
 | Diagnosis of muscle-invasive urothelial carcinoma with variant histology using biparametric MRI and VI-RADS in a radical cystectomy cohort Yuki Arita1,2, Thomas C Kwee3, Joao Miranda2, Keisuke Shigeta4, Ryota Ishii5, Hiromi Edo6, Lisa Ruby2, Josip Nincevic2, Yuma Waseda7, Daiki Tamada8, Ada Muellner2, Sunny Nalavenkata9, and Hedvig Hricak2
1Radiology, Keio University School of Medicine, Tokyo, Japan, 2Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Radiology, University Medical Center Groningen, Groningen, Netherlands, 4Urology, Keio University School of Medicine, Tokyo, Japan, 5Biostatistics, University of Tsukuba, Ibaraki, Japan, 6Radiology, National Defence Medical College, Saitama, Japan, 7Urology, Tokyo Medical and Dental University Graduate School, Tokyo, Japan, 8Radiology, University of Wisconsin–Madison, Madison, WI, United States, 9Urology, Memorial Sloan Kettering Cancer Center, New York, NY, United States Keywords: Urogenital, Bladder, VI-RADS Motivation: To determine if contrast-free biparametric MRI (bpMRI), which offers potential cost, comfort and safety advantages, could replace multiparametric MRI (mpMRI) in diagnosing muscle-invasive bladder cancer (MIBC) in patients with urothelial carcinoma of variant histology (VUC). Goal(s): To compare the diagnostic accuracy of bpMRI and conventional mpMRI for detecting MIBC in patients with VUC who underwent radical cystectomy (the optimal reference standard). Approach: A retrospective, multicenter diagnostic study using radical cystectomy as the reference standard. Results: The diagnostic performance of bpMRI was confirmed to be weaker than that of mpMRI in the assessment of muscle invasion in bladder VUC. Impact: When applying VI-RADS, bpMRI had weaker diagnostic
performance than mpMRI in assessing muscle invasion in patients with bladder VUC
who had radical cystectomy (the optimal reference standard). Consequently, we
recommend employing mpMRI-based methods for evaluating muscle invasion in bladder
VUC. |