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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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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. |
format | Online Article Text |
id | pubmed-6260899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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