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Measurement of glomerular filtration rate by dynamic contrast‐enhanced magnetic resonance imaging using a subject‐specific two‐compartment model

Measuring glomerular filtration rate (GFR) by dynamic contrast‐enhanced (DCE) magnetic resonance imaging (MRI) as part of standard of care clinical MRI exams (e.g., in pediatric solid tumor patients) has the potential to reduce diagnostic burden. However, enthusiasm for this relatively new GFR test...

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Autores principales: Tipirneni‐Sajja, Aaryani, Loeffler, Ralf B., Oesingmann, Niels, Bissler, John, Song, Ruitian, McCarville, Beth, Jones, Deborah P., Hudson, Melissa, Spunt, Sheri L., Hillenbrand, Claudia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4831325/
https://www.ncbi.nlm.nih.gov/pubmed/27081161
http://dx.doi.org/10.14814/phy2.12755
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author Tipirneni‐Sajja, Aaryani
Loeffler, Ralf B.
Oesingmann, Niels
Bissler, John
Song, Ruitian
McCarville, Beth
Jones, Deborah P.
Hudson, Melissa
Spunt, Sheri L.
Hillenbrand, Claudia M.
author_facet Tipirneni‐Sajja, Aaryani
Loeffler, Ralf B.
Oesingmann, Niels
Bissler, John
Song, Ruitian
McCarville, Beth
Jones, Deborah P.
Hudson, Melissa
Spunt, Sheri L.
Hillenbrand, Claudia M.
author_sort Tipirneni‐Sajja, Aaryani
collection PubMed
description Measuring glomerular filtration rate (GFR) by dynamic contrast‐enhanced (DCE) magnetic resonance imaging (MRI) as part of standard of care clinical MRI exams (e.g., in pediatric solid tumor patients) has the potential to reduce diagnostic burden. However, enthusiasm for this relatively new GFR test may be curbed by the limited amount of cross‐calibration studies with reference GFR techniques and the vast variety of MR tracer model algorithms causing confusion on the choice of model. To advance MRI‐based GFR quantification via improved GFR modeling and comparison with associated (99m)Tc‐DTPA‐GFR, 29 long‐term Wilms' tumor survivors (19.0–43.3 years, [median 32.0 ± 6.0 years]) treated with nephrectomy, nonnephrotoxic chemotherapy ± radiotherapy underwent MRI with Gd‐DTPA administration and a (99m)Tc‐DTPA GFR test. For DCE‐MRI‐based GFR estimation, a subject‐specific two‐compartment (SS‐2C) model was developed that uses individual hematocrit values, automatically defines subject‐specific uptake intervals, and fits tracer‐uptake curves by incorporating these measures. The association between reference (99m)Tc‐DTPA GFR and MR‐GFRs obtained by SS‐2C, three published 2C uptake, and inflow–outflow models was investigated via linear regression analysis. Uptake intervals varied from 64 sec to 141 sec [96 sec ± 21 sec] and hematocrit values ranged from 30% to 49% [41% ± 4%]; these parameters can therefore not be assumed as constants in 2C modeling. Our MR‐GFR estimates using the SS‐2C model showed accordingly the highest correlation with (99m)Tc‐DTPA‐GFRs (R (2) = 0.76, P < 0.001) compared with other models (R(2)‐range: 0.36–0.66). In conclusion, SS‐2C modeling of DCE‐MRI data improved the association between GFR obtained by (99m)Tc‐DTPA and Gd‐DTPA DCE‐MRI to such a degree that this approach could turn into a viable, diagnostic GFR assay without radiation exposure to the patient.
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spelling pubmed-48313252016-04-20 Measurement of glomerular filtration rate by dynamic contrast‐enhanced magnetic resonance imaging using a subject‐specific two‐compartment model Tipirneni‐Sajja, Aaryani Loeffler, Ralf B. Oesingmann, Niels Bissler, John Song, Ruitian McCarville, Beth Jones, Deborah P. Hudson, Melissa Spunt, Sheri L. Hillenbrand, Claudia M. Physiol Rep Original Research Measuring glomerular filtration rate (GFR) by dynamic contrast‐enhanced (DCE) magnetic resonance imaging (MRI) as part of standard of care clinical MRI exams (e.g., in pediatric solid tumor patients) has the potential to reduce diagnostic burden. However, enthusiasm for this relatively new GFR test may be curbed by the limited amount of cross‐calibration studies with reference GFR techniques and the vast variety of MR tracer model algorithms causing confusion on the choice of model. To advance MRI‐based GFR quantification via improved GFR modeling and comparison with associated (99m)Tc‐DTPA‐GFR, 29 long‐term Wilms' tumor survivors (19.0–43.3 years, [median 32.0 ± 6.0 years]) treated with nephrectomy, nonnephrotoxic chemotherapy ± radiotherapy underwent MRI with Gd‐DTPA administration and a (99m)Tc‐DTPA GFR test. For DCE‐MRI‐based GFR estimation, a subject‐specific two‐compartment (SS‐2C) model was developed that uses individual hematocrit values, automatically defines subject‐specific uptake intervals, and fits tracer‐uptake curves by incorporating these measures. The association between reference (99m)Tc‐DTPA GFR and MR‐GFRs obtained by SS‐2C, three published 2C uptake, and inflow–outflow models was investigated via linear regression analysis. Uptake intervals varied from 64 sec to 141 sec [96 sec ± 21 sec] and hematocrit values ranged from 30% to 49% [41% ± 4%]; these parameters can therefore not be assumed as constants in 2C modeling. Our MR‐GFR estimates using the SS‐2C model showed accordingly the highest correlation with (99m)Tc‐DTPA‐GFRs (R (2) = 0.76, P < 0.001) compared with other models (R(2)‐range: 0.36–0.66). In conclusion, SS‐2C modeling of DCE‐MRI data improved the association between GFR obtained by (99m)Tc‐DTPA and Gd‐DTPA DCE‐MRI to such a degree that this approach could turn into a viable, diagnostic GFR assay without radiation exposure to the patient. John Wiley and Sons Inc. 2016-04-13 /pmc/articles/PMC4831325/ /pubmed/27081161 http://dx.doi.org/10.14814/phy2.12755 Text en © 2016 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of the American Physiological Society and The Physiological Society. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Tipirneni‐Sajja, Aaryani
Loeffler, Ralf B.
Oesingmann, Niels
Bissler, John
Song, Ruitian
McCarville, Beth
Jones, Deborah P.
Hudson, Melissa
Spunt, Sheri L.
Hillenbrand, Claudia M.
Measurement of glomerular filtration rate by dynamic contrast‐enhanced magnetic resonance imaging using a subject‐specific two‐compartment model
title Measurement of glomerular filtration rate by dynamic contrast‐enhanced magnetic resonance imaging using a subject‐specific two‐compartment model
title_full Measurement of glomerular filtration rate by dynamic contrast‐enhanced magnetic resonance imaging using a subject‐specific two‐compartment model
title_fullStr Measurement of glomerular filtration rate by dynamic contrast‐enhanced magnetic resonance imaging using a subject‐specific two‐compartment model
title_full_unstemmed Measurement of glomerular filtration rate by dynamic contrast‐enhanced magnetic resonance imaging using a subject‐specific two‐compartment model
title_short Measurement of glomerular filtration rate by dynamic contrast‐enhanced magnetic resonance imaging using a subject‐specific two‐compartment model
title_sort measurement of glomerular filtration rate by dynamic contrast‐enhanced magnetic resonance imaging using a subject‐specific two‐compartment model
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4831325/
https://www.ncbi.nlm.nih.gov/pubmed/27081161
http://dx.doi.org/10.14814/phy2.12755
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