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An alternative approach to contrast-enhanced imaging: diffusion-weighted imaging and T(1)-weighted imaging identifies and quantifies necrosis in Wilms tumour

OBJECTIVES: Volume of necrosis in Wilms tumour is informative of chemotherapy response. Contrast-enhanced T(1)-weighted MRI (T(1)w) provides a measure of necrosis using gadolinium. This study aimed to develop a non-invasive method of identifying non-enhancing (necrotic) tissue in Wilms tumour. METHO...

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Autores principales: Rogers, Harriet J., Verhagen, Martijn V., Shelmerdine, Susan C., Clark, Christopher A., Hales, Patrick W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610268/
https://www.ncbi.nlm.nih.gov/pubmed/30560365
http://dx.doi.org/10.1007/s00330-018-5907-z
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author Rogers, Harriet J.
Verhagen, Martijn V.
Shelmerdine, Susan C.
Clark, Christopher A.
Hales, Patrick W.
author_facet Rogers, Harriet J.
Verhagen, Martijn V.
Shelmerdine, Susan C.
Clark, Christopher A.
Hales, Patrick W.
author_sort Rogers, Harriet J.
collection PubMed
description OBJECTIVES: Volume of necrosis in Wilms tumour is informative of chemotherapy response. Contrast-enhanced T(1)-weighted MRI (T(1)w) provides a measure of necrosis using gadolinium. This study aimed to develop a non-invasive method of identifying non-enhancing (necrotic) tissue in Wilms tumour. METHODS: In this single centre, retrospective study, post-chemotherapy MRI data from 34 Wilms tumour patients were reviewed (March 2012–March 2017). Cases with multiple b value diffusion-weighted imaging (DWI) and T(1)w imaging pre- and post-gadolinium were included. Fractional T(1) enhancement maps were generated from the gadolinium T(1)w data. Multiple linear regression determined whether fitted parameters from a mono-exponential model (ADC) and bi-exponential model (IVIM – intravoxel incoherent motion) (D, D*, f) could predict fractional T(1) enhancement in Wilms tumours, using normalised pre-gadolinium T(1)w (T(1)w(norm)) signal as an additional predictor. Measured and predicted fractional enhancement values were compared using the Bland-Altman plot. An optimum threshold for separating necrotic and viable tissue using fractional T(1) enhancement was established using ROC. RESULTS: ADC and D (diffusion coefficient) provided the strongest predictors of fractional T(1) enhancement in tumour tissue (p < 0.001). Using the ADC-T(1)w(norm) model (adjusted R(2) = 0.4), little bias (mean difference = − 0.093, 95% confidence interval = [− 0.52, 0.34]) was shown between predicted and measured values of fractional enhancement and analysed via the Bland-Altman plot. The optimal threshold for differentiating viable and necrotic tissue was 33% fractional T(1) enhancement (based on measured values, AUC = 0.93; sensitivity = 85%; specificity = 90%). CONCLUSIONS: Combining ADC and T(1)w imaging predicts enhancement in Wilms tumours and reliably identifies and measures necrotic tissue without gadolinium. KEY POINTS: • Alternative method to identify necrotic tissue in Wilms tumour without using contrast agents but rather using diffusion and T (1) weighted MRI. • A method is presented to visualise and quantify necrotic tissue in Wilms tumour without contrast. • The proposed method has the potential to reduce costs and burden to Wilms tumour patients who undergo longitudinal follow-up imaging as contrast agents are not used.
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spelling pubmed-66102682019-07-19 An alternative approach to contrast-enhanced imaging: diffusion-weighted imaging and T(1)-weighted imaging identifies and quantifies necrosis in Wilms tumour Rogers, Harriet J. Verhagen, Martijn V. Shelmerdine, Susan C. Clark, Christopher A. Hales, Patrick W. Eur Radiol Magnetic Resonance OBJECTIVES: Volume of necrosis in Wilms tumour is informative of chemotherapy response. Contrast-enhanced T(1)-weighted MRI (T(1)w) provides a measure of necrosis using gadolinium. This study aimed to develop a non-invasive method of identifying non-enhancing (necrotic) tissue in Wilms tumour. METHODS: In this single centre, retrospective study, post-chemotherapy MRI data from 34 Wilms tumour patients were reviewed (March 2012–March 2017). Cases with multiple b value diffusion-weighted imaging (DWI) and T(1)w imaging pre- and post-gadolinium were included. Fractional T(1) enhancement maps were generated from the gadolinium T(1)w data. Multiple linear regression determined whether fitted parameters from a mono-exponential model (ADC) and bi-exponential model (IVIM – intravoxel incoherent motion) (D, D*, f) could predict fractional T(1) enhancement in Wilms tumours, using normalised pre-gadolinium T(1)w (T(1)w(norm)) signal as an additional predictor. Measured and predicted fractional enhancement values were compared using the Bland-Altman plot. An optimum threshold for separating necrotic and viable tissue using fractional T(1) enhancement was established using ROC. RESULTS: ADC and D (diffusion coefficient) provided the strongest predictors of fractional T(1) enhancement in tumour tissue (p < 0.001). Using the ADC-T(1)w(norm) model (adjusted R(2) = 0.4), little bias (mean difference = − 0.093, 95% confidence interval = [− 0.52, 0.34]) was shown between predicted and measured values of fractional enhancement and analysed via the Bland-Altman plot. The optimal threshold for differentiating viable and necrotic tissue was 33% fractional T(1) enhancement (based on measured values, AUC = 0.93; sensitivity = 85%; specificity = 90%). CONCLUSIONS: Combining ADC and T(1)w imaging predicts enhancement in Wilms tumours and reliably identifies and measures necrotic tissue without gadolinium. KEY POINTS: • Alternative method to identify necrotic tissue in Wilms tumour without using contrast agents but rather using diffusion and T (1) weighted MRI. • A method is presented to visualise and quantify necrotic tissue in Wilms tumour without contrast. • The proposed method has the potential to reduce costs and burden to Wilms tumour patients who undergo longitudinal follow-up imaging as contrast agents are not used. Springer Berlin Heidelberg 2018-12-17 2019 /pmc/articles/PMC6610268/ /pubmed/30560365 http://dx.doi.org/10.1007/s00330-018-5907-z Text en © The Author(s) 2018 Open Access This 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.
spellingShingle Magnetic Resonance
Rogers, Harriet J.
Verhagen, Martijn V.
Shelmerdine, Susan C.
Clark, Christopher A.
Hales, Patrick W.
An alternative approach to contrast-enhanced imaging: diffusion-weighted imaging and T(1)-weighted imaging identifies and quantifies necrosis in Wilms tumour
title An alternative approach to contrast-enhanced imaging: diffusion-weighted imaging and T(1)-weighted imaging identifies and quantifies necrosis in Wilms tumour
title_full An alternative approach to contrast-enhanced imaging: diffusion-weighted imaging and T(1)-weighted imaging identifies and quantifies necrosis in Wilms tumour
title_fullStr An alternative approach to contrast-enhanced imaging: diffusion-weighted imaging and T(1)-weighted imaging identifies and quantifies necrosis in Wilms tumour
title_full_unstemmed An alternative approach to contrast-enhanced imaging: diffusion-weighted imaging and T(1)-weighted imaging identifies and quantifies necrosis in Wilms tumour
title_short An alternative approach to contrast-enhanced imaging: diffusion-weighted imaging and T(1)-weighted imaging identifies and quantifies necrosis in Wilms tumour
title_sort alternative approach to contrast-enhanced imaging: diffusion-weighted imaging and t(1)-weighted imaging identifies and quantifies necrosis in wilms tumour
topic Magnetic Resonance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610268/
https://www.ncbi.nlm.nih.gov/pubmed/30560365
http://dx.doi.org/10.1007/s00330-018-5907-z
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