Oral
Quantitative Characterization of the Kidney
ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i
Oral
Quantitative Characterization of the Kidney
| 15:45 |
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1015. Simulating
MOLLI T1 mapping signals to remove variability caused by heart
rate
M. Roeth, M. Craig, D. Auer, S. Sotiropoulos, A-
Mohammadi-Nejad, E. Cox, S. Francis
University of Nottingham, Nottingham, United Kingdom
Impact: Errors arise in measured ShMOLLI T1 data
when collected with ECG-triggering rather than with a fixed
spacing. Removing the heart rate effect allows better
comparison between health and disease groups, and to
determine effects of ageing on kidney T1 measures.
|
| 15:57 |
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1016. Evaluating
Magnetization Transfer Ratio and T1 Mapping for Non-Invasive
Assessment of Renal Fibrosis in Humans
J. Hou, C-C Szeto, H. Kang, Z. Yu, B. Jiang, Q. Chan, W.
Chu, W. Fung, W. Chen
The Chinese University of Hong Kong, Hong Kong, Hong Kong
Impact: This study found no significant difference in
MTR between groups with and without renal fibrosis. Future
research using quantitative MT imaging techniques on a
larger cohort is warranted to understand the clinical
utility of MT effect in assessing renal fibrosis.
|
| 16:09 |
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1017. Assessing
the Impact of Imaging Parameters on the Measurement of Kidney T2
A. Daniel, S. Francis
University of Nottingham, Nottingham, United Kingdom
Impact:
This work provides recommendations for researchers to perform T2-mapping in renal MRI studies. It highlights key imaging parameters that should be optimised and advantages/disadvantages related to accuracy, dependence on B0 and B+1 fields and flow of common T2-mapping sequences. |
| 16:21 |
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1018. MR
Diffusion Models for Non-invasively Assessing Renal Interstitial
Fibrosis and Annual Renal Function Loss in Chronic Kidney
Disease
G. Yuan, Z. Liao, P. Liang, T. Yin, W. Chen, C. Xu, Z. Li
Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan,Hubei, China
Impact: This study identifies the optimal diffusion
metrics for grading renal IF and predicting short-term
progression of CKD, aiding in the guidance of personalized
management and the prevention of poor outcomes.
|
| 16:33 |
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1019. Feasibility
and Optimal b-value combination for DWI-based Virtual
Elastography in assessing Chronic Kidney Disease Function
Y. Chen, R. Qi, J. Li, W. Liu, P. Luo, Q. Chen, Q. Liang, F.
Meng, H. Qin, F. Qu, Y. Wu, Y. Zeng
Shenzhen Traditional Chinese Medicine Hospital (The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine), Shenzhen, China
Impact: This study shows that virtual magnetic resonance
elastography non-invasively assesses chronic kidney disease
(CKD) renal function, with optimal b-values of 200-800s/mm2,
providing a new imaging biomarker for the clinical
assessment of CKD.
|
| 16:45 |
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1020. Spectral
diffusion MRI detects early fibrosis in renal allografts in a
pilot clinical translational study
M. Liu, J. Dyke, T. Gladytz, J. Jasse, I. Bolger, S. Calle,
S. Pavuluri, T. Crews, S. Seshan, S. Salvatore, I. Stillman,
T. Muthukumar, B. Taouli, S. Farouk, O. Bane, S. Lewis
Icahn School of Medicine at Mount Sinai, New York, United States
Impact: Initial experience supports clinical relevance
of advanced diffusion MRI for early fibrosis development in
renal transplant patients who have not shown a decrease in
eGFR, allowing preventative modification in medication
regimen and treatment.
|
| 16:57 |
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1021. Simultaneous
Dual-Frequency 3D MRE for Detecting Renal Injury in Advanced
Chronic Liver Disease
C. Qiu, N. Owusu, P. Xu, H. Wu, K. Glaser, J. Li, V. Shah,
A. Manduca, R. Ehman, M. Yin
Mayo Clinic, Rochester, United States
Impact: Simultaneous dual-frequency 3D MRE can
differentiate HRS in patients with advanced chronic liver
disease and can distinguish renal injury before the onset of
HRS and shorten the acquisition time.
|
| 17:09 |
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1022. Preliminary
study of multiparametric MRI in diagnosing acute kidney injury
and chronic kidney disease without creatinine baseline in 3
months
C. Hua, L. Zhou, M. Jayachandran, T. Cai, S. Hao, X. Fang,
L. Wang
The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
Impact: The clinical application of multiparametric MRI
for the early detection/prediction of AKI and long-term
kidney injury is promising but challenging
|
| 17:21 |
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1023. In
vivo resting state MRI of the kidney predicts the development of
fibrosis after acute kidney injury, and correlates with nephron
number
E. Baldelomar, S. Keilholz, J. Charlton, K. Bennett
Washington University in St. Louis, St. Louis, United States
Impact: rsMRI of the kidney provides novel physiological
biomarkers that may facilitate early detection of risk and
progression of chronic kidney disease (CKD) after acute
kidney injury (AKI).
|
| 17:33 | 1024. WITHDRAWN |
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