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Utility of Multi-Parametric Quantitative Magnetic Resonance Imaging for Characterization and Radiotherapy Response Assessment in Soft-Tissue Sarcomas and Correlation With Histopathology

Purpose: To evaluate repeatability of quantitative multi-parametric MRI in retroperitoneal sarcomas, assess parameter changes with radiotherapy, and correlate pre-operative values with histopathological findings in the surgical specimens. Materials and Methods: Thirty patients with retroperitoneal s...

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Autores principales: Winfield, Jessica M., Miah, Aisha B., Strauss, Dirk, Thway, Khin, Collins, David J., deSouza, Nandita M., Leach, Martin O., Morgan, Veronica A., Giles, Sharon L., Moskovic, Eleanor, Hayes, Andrew, Smith, Myles, Zaidi, Shane H., Henderson, Daniel, Messiou, Christina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6494941/
https://www.ncbi.nlm.nih.gov/pubmed/31106141
http://dx.doi.org/10.3389/fonc.2019.00280
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author Winfield, Jessica M.
Miah, Aisha B.
Strauss, Dirk
Thway, Khin
Collins, David J.
deSouza, Nandita M.
Leach, Martin O.
Morgan, Veronica A.
Giles, Sharon L.
Moskovic, Eleanor
Hayes, Andrew
Smith, Myles
Zaidi, Shane H.
Henderson, Daniel
Messiou, Christina
author_facet Winfield, Jessica M.
Miah, Aisha B.
Strauss, Dirk
Thway, Khin
Collins, David J.
deSouza, Nandita M.
Leach, Martin O.
Morgan, Veronica A.
Giles, Sharon L.
Moskovic, Eleanor
Hayes, Andrew
Smith, Myles
Zaidi, Shane H.
Henderson, Daniel
Messiou, Christina
author_sort Winfield, Jessica M.
collection PubMed
description Purpose: To evaluate repeatability of quantitative multi-parametric MRI in retroperitoneal sarcomas, assess parameter changes with radiotherapy, and correlate pre-operative values with histopathological findings in the surgical specimens. Materials and Methods: Thirty patients with retroperitoneal sarcoma were imaged at baseline, of whom 27 also underwent a second baseline examination for repeatability assessment. 14/30 patients were treated with pre-operative radiotherapy and were imaged again after completing radiotherapy (50.4 Gy in 28 daily fractions, over 5.5 weeks). The following parameter estimates were assessed in the whole tumor volume at baseline and following radiotherapy: apparent diffusion coefficient (ADC), parameters of the intra-voxel incoherent motion model of diffusion-weighted MRI (D, f, D(*)), transverse relaxation rate, fat fraction, and enhancing fraction after gadolinium-based contrast injection. Correlation was evaluated between pre-operative quantitative parameters and histopathological assessments of cellularity and fat fraction in post-surgical specimens (ClinicalTrials.gov, registration number NCT01902667). Results: Upper and lower 95% limits of agreement were 7.1 and −6.6%, respectively for median ADC at baseline. Median ADC increased significantly post-radiotherapy. Pre-operative ADC and D were negatively correlated with cellularity (r = −0.42, p = 0.01, 95% confidence interval (CI) −0.22 to −0.59 for ADC; r = −0.45, p = 0.005, 95% CI −0.25 to −0.62 for D), and fat fraction from Dixon MRI showed strong correlation with histopathological assessment of fat fraction (r = 0.79, p = 10(−7), 95% CI 0.69–0.86). Conclusion: Fat fraction on MRI corresponded to fat content on histology and therefore contributes to lesion characterization. Measurement repeatability was excellent for ADC; this parameter increased significantly post-radiotherapy even in disease categorized as stable by size criteria, and corresponded to cellularity on histology. ADC can be utilized for characterizing and assessing response in heterogeneous retroperitoneal sarcomas.
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spelling pubmed-64949412019-05-17 Utility of Multi-Parametric Quantitative Magnetic Resonance Imaging for Characterization and Radiotherapy Response Assessment in Soft-Tissue Sarcomas and Correlation With Histopathology Winfield, Jessica M. Miah, Aisha B. Strauss, Dirk Thway, Khin Collins, David J. deSouza, Nandita M. Leach, Martin O. Morgan, Veronica A. Giles, Sharon L. Moskovic, Eleanor Hayes, Andrew Smith, Myles Zaidi, Shane H. Henderson, Daniel Messiou, Christina Front Oncol Oncology Purpose: To evaluate repeatability of quantitative multi-parametric MRI in retroperitoneal sarcomas, assess parameter changes with radiotherapy, and correlate pre-operative values with histopathological findings in the surgical specimens. Materials and Methods: Thirty patients with retroperitoneal sarcoma were imaged at baseline, of whom 27 also underwent a second baseline examination for repeatability assessment. 14/30 patients were treated with pre-operative radiotherapy and were imaged again after completing radiotherapy (50.4 Gy in 28 daily fractions, over 5.5 weeks). The following parameter estimates were assessed in the whole tumor volume at baseline and following radiotherapy: apparent diffusion coefficient (ADC), parameters of the intra-voxel incoherent motion model of diffusion-weighted MRI (D, f, D(*)), transverse relaxation rate, fat fraction, and enhancing fraction after gadolinium-based contrast injection. Correlation was evaluated between pre-operative quantitative parameters and histopathological assessments of cellularity and fat fraction in post-surgical specimens (ClinicalTrials.gov, registration number NCT01902667). Results: Upper and lower 95% limits of agreement were 7.1 and −6.6%, respectively for median ADC at baseline. Median ADC increased significantly post-radiotherapy. Pre-operative ADC and D were negatively correlated with cellularity (r = −0.42, p = 0.01, 95% confidence interval (CI) −0.22 to −0.59 for ADC; r = −0.45, p = 0.005, 95% CI −0.25 to −0.62 for D), and fat fraction from Dixon MRI showed strong correlation with histopathological assessment of fat fraction (r = 0.79, p = 10(−7), 95% CI 0.69–0.86). Conclusion: Fat fraction on MRI corresponded to fat content on histology and therefore contributes to lesion characterization. Measurement repeatability was excellent for ADC; this parameter increased significantly post-radiotherapy even in disease categorized as stable by size criteria, and corresponded to cellularity on histology. ADC can be utilized for characterizing and assessing response in heterogeneous retroperitoneal sarcomas. Frontiers Media S.A. 2019-04-25 /pmc/articles/PMC6494941/ /pubmed/31106141 http://dx.doi.org/10.3389/fonc.2019.00280 Text en Copyright © 2019 Winfield, Miah, Strauss, Thway, Collins, deSouza, Leach, Morgan, Giles, Moskovic, Hayes, Smith, Zaidi, Henderson and Messiou. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Winfield, Jessica M.
Miah, Aisha B.
Strauss, Dirk
Thway, Khin
Collins, David J.
deSouza, Nandita M.
Leach, Martin O.
Morgan, Veronica A.
Giles, Sharon L.
Moskovic, Eleanor
Hayes, Andrew
Smith, Myles
Zaidi, Shane H.
Henderson, Daniel
Messiou, Christina
Utility of Multi-Parametric Quantitative Magnetic Resonance Imaging for Characterization and Radiotherapy Response Assessment in Soft-Tissue Sarcomas and Correlation With Histopathology
title Utility of Multi-Parametric Quantitative Magnetic Resonance Imaging for Characterization and Radiotherapy Response Assessment in Soft-Tissue Sarcomas and Correlation With Histopathology
title_full Utility of Multi-Parametric Quantitative Magnetic Resonance Imaging for Characterization and Radiotherapy Response Assessment in Soft-Tissue Sarcomas and Correlation With Histopathology
title_fullStr Utility of Multi-Parametric Quantitative Magnetic Resonance Imaging for Characterization and Radiotherapy Response Assessment in Soft-Tissue Sarcomas and Correlation With Histopathology
title_full_unstemmed Utility of Multi-Parametric Quantitative Magnetic Resonance Imaging for Characterization and Radiotherapy Response Assessment in Soft-Tissue Sarcomas and Correlation With Histopathology
title_short Utility of Multi-Parametric Quantitative Magnetic Resonance Imaging for Characterization and Radiotherapy Response Assessment in Soft-Tissue Sarcomas and Correlation With Histopathology
title_sort utility of multi-parametric quantitative magnetic resonance imaging for characterization and radiotherapy response assessment in soft-tissue sarcomas and correlation with histopathology
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6494941/
https://www.ncbi.nlm.nih.gov/pubmed/31106141
http://dx.doi.org/10.3389/fonc.2019.00280
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