Comparison of multiparametric magnetic resonance imaging sequences with laboratory parameters for prognosticating renal function in chronic kidney disease

Abstract Magnetic resonance imaging (MRI) is playing an increasingly important role in evaluating chronic kidney disease (CKD). It has the potential to be used not only for evaluation of physiological and pathological states, but also for prediction of disease course. Although different MRI sequence...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Tsutomu Inoue, Eito Kozawa, Masahiro Ishikawa, Daichi Fukaya, Hiroaki Amano, Yusuke Watanabe, Koji Tomori, Naoki Kobayashi, Mamoru Niitsu, Hirokazu Okada
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e3a2bb8e38e84d33a608b200aa77a949
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e3a2bb8e38e84d33a608b200aa77a949
record_format	dspace
spelling	oai:doaj.org-article:e3a2bb8e38e84d33a608b200aa77a9492021-11-14T12:22:27ZComparison of multiparametric magnetic resonance imaging sequences with laboratory parameters for prognosticating renal function in chronic kidney disease10.1038/s41598-021-01147-z2045-2322https://doaj.org/article/e3a2bb8e38e84d33a608b200aa77a9492021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01147-zhttps://doaj.org/toc/2045-2322Abstract Magnetic resonance imaging (MRI) is playing an increasingly important role in evaluating chronic kidney disease (CKD). It has the potential to be used not only for evaluation of physiological and pathological states, but also for prediction of disease course. Although different MRI sequences have been employed in renal disease, there are few studies that have compared the different sequences. We compared several multiparametric MRI sequences, and compared their results with the estimated glomerular filtration rate. Principal component analysis showed a similarity between T1 values and tissue perfusion (arterial spin labelling), and between fractional anisotropy (diffusion tensor imaging) and apparent diffusion coefficient values (diffusion-weighted imaging). In multiple regression analysis, only T2* values, derived from the blood oxygenation level-dependent (BOLD) MRI sequence, were associated with estimated glomerular filtration rate slope after adjusting for degree of proteinuria, a classic prognostic factor for CKD. In receiver operating characteristic curve analysis, T2* values were a good predictor of rapid deterioration, regardless of the degree of proteinuria. This suggests further study of the use of BOLD-derived T2* values in the workup of CKD, especially to predict the disease course.Tsutomu InoueEito KozawaMasahiro IshikawaDaichi FukayaHiroaki AmanoYusuke WatanabeKoji TomoriNaoki KobayashiMamoru NiitsuHirokazu OkadaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tsutomu Inoue Eito Kozawa Masahiro Ishikawa Daichi Fukaya Hiroaki Amano Yusuke Watanabe Koji Tomori Naoki Kobayashi Mamoru Niitsu Hirokazu Okada Comparison of multiparametric magnetic resonance imaging sequences with laboratory parameters for prognosticating renal function in chronic kidney disease
description	Abstract Magnetic resonance imaging (MRI) is playing an increasingly important role in evaluating chronic kidney disease (CKD). It has the potential to be used not only for evaluation of physiological and pathological states, but also for prediction of disease course. Although different MRI sequences have been employed in renal disease, there are few studies that have compared the different sequences. We compared several multiparametric MRI sequences, and compared their results with the estimated glomerular filtration rate. Principal component analysis showed a similarity between T1 values and tissue perfusion (arterial spin labelling), and between fractional anisotropy (diffusion tensor imaging) and apparent diffusion coefficient values (diffusion-weighted imaging). In multiple regression analysis, only T2* values, derived from the blood oxygenation level-dependent (BOLD) MRI sequence, were associated with estimated glomerular filtration rate slope after adjusting for degree of proteinuria, a classic prognostic factor for CKD. In receiver operating characteristic curve analysis, T2* values were a good predictor of rapid deterioration, regardless of the degree of proteinuria. This suggests further study of the use of BOLD-derived T2* values in the workup of CKD, especially to predict the disease course.
format	article
author	Tsutomu Inoue Eito Kozawa Masahiro Ishikawa Daichi Fukaya Hiroaki Amano Yusuke Watanabe Koji Tomori Naoki Kobayashi Mamoru Niitsu Hirokazu Okada
author_facet	Tsutomu Inoue Eito Kozawa Masahiro Ishikawa Daichi Fukaya Hiroaki Amano Yusuke Watanabe Koji Tomori Naoki Kobayashi Mamoru Niitsu Hirokazu Okada
author_sort	Tsutomu Inoue
title	Comparison of multiparametric magnetic resonance imaging sequences with laboratory parameters for prognosticating renal function in chronic kidney disease
title_short	Comparison of multiparametric magnetic resonance imaging sequences with laboratory parameters for prognosticating renal function in chronic kidney disease
title_full	Comparison of multiparametric magnetic resonance imaging sequences with laboratory parameters for prognosticating renal function in chronic kidney disease
title_fullStr	Comparison of multiparametric magnetic resonance imaging sequences with laboratory parameters for prognosticating renal function in chronic kidney disease
title_full_unstemmed	Comparison of multiparametric magnetic resonance imaging sequences with laboratory parameters for prognosticating renal function in chronic kidney disease
title_sort	comparison of multiparametric magnetic resonance imaging sequences with laboratory parameters for prognosticating renal function in chronic kidney disease
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e3a2bb8e38e84d33a608b200aa77a949
work_keys_str_mv	AT tsutomuinoue comparisonofmultiparametricmagneticresonanceimagingsequenceswithlaboratoryparametersforprognosticatingrenalfunctioninchronickidneydisease AT eitokozawa comparisonofmultiparametricmagneticresonanceimagingsequenceswithlaboratoryparametersforprognosticatingrenalfunctioninchronickidneydisease AT masahiroishikawa comparisonofmultiparametricmagneticresonanceimagingsequenceswithlaboratoryparametersforprognosticatingrenalfunctioninchronickidneydisease AT daichifukaya comparisonofmultiparametricmagneticresonanceimagingsequenceswithlaboratoryparametersforprognosticatingrenalfunctioninchronickidneydisease AT hiroakiamano comparisonofmultiparametricmagneticresonanceimagingsequenceswithlaboratoryparametersforprognosticatingrenalfunctioninchronickidneydisease AT yusukewatanabe comparisonofmultiparametricmagneticresonanceimagingsequenceswithlaboratoryparametersforprognosticatingrenalfunctioninchronickidneydisease AT kojitomori comparisonofmultiparametricmagneticresonanceimagingsequenceswithlaboratoryparametersforprognosticatingrenalfunctioninchronickidneydisease AT naokikobayashi comparisonofmultiparametricmagneticresonanceimagingsequenceswithlaboratoryparametersforprognosticatingrenalfunctioninchronickidneydisease AT mamoruniitsu comparisonofmultiparametricmagneticresonanceimagingsequenceswithlaboratoryparametersforprognosticatingrenalfunctioninchronickidneydisease AT hirokazuokada comparisonofmultiparametricmagneticresonanceimagingsequenceswithlaboratoryparametersforprognosticatingrenalfunctioninchronickidneydisease
_version_	1718429261617954816

Comparison of multiparametric magnetic resonance imaging sequences with laboratory parameters for prognosticating renal function in chronic kidney disease

Ejemplares similares