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Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings

PURPOSE: To compare diffusion tensor imaging (DTI), intravoxel incoherent motion (IVIM), and tri-exponential models of the diffusion magnetic resonance imaging (MRI) signal for the characterization of renal lesions in relationship to histopathological findings. METHODS: Sixteen patients planned to u...

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Autores principales: van Baalen, Sophie, Froeling, Martijn, Asselman, Marino, Klazen, Caroline, Jeltes, Claire, van Dijk, Lotte, Vroling, Bart, Dik, Pieter, ten Haken, Bennie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260899/
https://www.ncbi.nlm.nih.gov/pubmed/30477587
http://dx.doi.org/10.1186/s40644-018-0178-0
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author van Baalen, Sophie
Froeling, Martijn
Asselman, Marino
Klazen, Caroline
Jeltes, Claire
van Dijk, Lotte
Vroling, Bart
Dik, Pieter
ten Haken, Bennie
author_facet van Baalen, Sophie
Froeling, Martijn
Asselman, Marino
Klazen, Caroline
Jeltes, Claire
van Dijk, Lotte
Vroling, Bart
Dik, Pieter
ten Haken, Bennie
author_sort van Baalen, Sophie
collection PubMed
description PURPOSE: To compare diffusion tensor imaging (DTI), intravoxel incoherent motion (IVIM), and tri-exponential models of the diffusion magnetic resonance imaging (MRI) signal for the characterization of renal lesions in relationship to histopathological findings. METHODS: Sixteen patients planned to undergo nephrectomy for kidney tumour were scanned before surgery at 3 T magnetic resonance imaging (MRI), with T(2)-weighted imaging, DTI and diffusion weighted imaging (DWI) using ten b-values. DTI parameters (mean diffusivity [MD] and fractional anisotropy [FA]) were obtained by iterative weighted linear least squared fitting of the DTI data and bi-, and tri-exponential fit parameters (D(bi), f(star,)and D(tri), f(fast,)f(interm)) using a nonlinear fit of the multiple b-value DWI data. Average parameters were calculated for regions of interest, selecting the lesions and healthy kidney tissue. Tumour type and specificities were determined after surgery by histological examination. Mean parameter values of healthy tissue and solid lesions were compared using a Wilcoxon-signed ranked test and MANOVA. RESULTS: Thirteen solid lesions (nine clear cell carcinomas, two papillary renal cell carcinoma, one haemangioma and one oncocytoma) and four cysts were included. The mean MD of solid lesions are significantly (p < 0.05) lower than healthy cortex and medulla, (1.94 ± 0.32*10(− 3) mm(2)/s versus 2.16 ± 0.12*10(− 3) mm(2)/s and 2.21 ± 0.14*10(− 3) mm(2)/s, respectively) whereas f(fast) is significantly higher (7.30 ± 3.29% versus 4.14 ± 1.92% and 4.57 ± 1.74%) and f(interm) is significantly lower (18.7 ± 5.02% versus 28.8 ± 5.09% and 26.4 ± 6.65%). Diffusion coefficients were high (≥2.0*10(− 3) mm(2)/s for MD, 1.90*10(− 3) mm(2)/s for D(bi) and 1.6*10(− 3) mm(2)/s for D(tri)) in cc-RCCs with cystic structures and/or haemorrhaging and low (≤1.80*10(− 3) mm(2)/s for MD, 1.40*10(− 3) mm(2)/s for D(bi) and 1.05*10(− 3) mm(2)/s for D(tri)) in tumours with necrosis or sarcomatoid differentiation. CONCLUSION: Parameters derived from a two- or three-component fit of the diffusion signal are sensitive to histopathological features of kidney lesions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40644-018-0178-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-62608992018-12-10 Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings van Baalen, Sophie Froeling, Martijn Asselman, Marino Klazen, Caroline Jeltes, Claire van Dijk, Lotte Vroling, Bart Dik, Pieter ten Haken, Bennie Cancer Imaging Research Article PURPOSE: To compare diffusion tensor imaging (DTI), intravoxel incoherent motion (IVIM), and tri-exponential models of the diffusion magnetic resonance imaging (MRI) signal for the characterization of renal lesions in relationship to histopathological findings. METHODS: Sixteen patients planned to undergo nephrectomy for kidney tumour were scanned before surgery at 3 T magnetic resonance imaging (MRI), with T(2)-weighted imaging, DTI and diffusion weighted imaging (DWI) using ten b-values. DTI parameters (mean diffusivity [MD] and fractional anisotropy [FA]) were obtained by iterative weighted linear least squared fitting of the DTI data and bi-, and tri-exponential fit parameters (D(bi), f(star,)and D(tri), f(fast,)f(interm)) using a nonlinear fit of the multiple b-value DWI data. Average parameters were calculated for regions of interest, selecting the lesions and healthy kidney tissue. Tumour type and specificities were determined after surgery by histological examination. Mean parameter values of healthy tissue and solid lesions were compared using a Wilcoxon-signed ranked test and MANOVA. RESULTS: Thirteen solid lesions (nine clear cell carcinomas, two papillary renal cell carcinoma, one haemangioma and one oncocytoma) and four cysts were included. The mean MD of solid lesions are significantly (p < 0.05) lower than healthy cortex and medulla, (1.94 ± 0.32*10(− 3) mm(2)/s versus 2.16 ± 0.12*10(− 3) mm(2)/s and 2.21 ± 0.14*10(− 3) mm(2)/s, respectively) whereas f(fast) is significantly higher (7.30 ± 3.29% versus 4.14 ± 1.92% and 4.57 ± 1.74%) and f(interm) is significantly lower (18.7 ± 5.02% versus 28.8 ± 5.09% and 26.4 ± 6.65%). Diffusion coefficients were high (≥2.0*10(− 3) mm(2)/s for MD, 1.90*10(− 3) mm(2)/s for D(bi) and 1.6*10(− 3) mm(2)/s for D(tri)) in cc-RCCs with cystic structures and/or haemorrhaging and low (≤1.80*10(− 3) mm(2)/s for MD, 1.40*10(− 3) mm(2)/s for D(bi) and 1.05*10(− 3) mm(2)/s for D(tri)) in tumours with necrosis or sarcomatoid differentiation. CONCLUSION: Parameters derived from a two- or three-component fit of the diffusion signal are sensitive to histopathological features of kidney lesions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40644-018-0178-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-26 /pmc/articles/PMC6260899/ /pubmed/30477587 http://dx.doi.org/10.1186/s40644-018-0178-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
van Baalen, Sophie
Froeling, Martijn
Asselman, Marino
Klazen, Caroline
Jeltes, Claire
van Dijk, Lotte
Vroling, Bart
Dik, Pieter
ten Haken, Bennie
Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings
title Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings
title_full Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings
title_fullStr Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings
title_full_unstemmed Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings
title_short Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings
title_sort mono, bi- and tri-exponential diffusion mri modelling for renal solid masses and comparison with histopathological findings
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260899/
https://www.ncbi.nlm.nih.gov/pubmed/30477587
http://dx.doi.org/10.1186/s40644-018-0178-0
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