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Multimodality Imaging to Predict Response to Systemic Treatment in Patients with Advanced Colorectal Cancer
AIM: Aim of this study was to investigate the potential of (18)F-FDG PET, diffusion weighted imaging (DWI) and susceptibility-weighted (T2*) MRI to predict response to systemic treatment in patients with colorectal liver metastases. The predictive values of pretreatment measurements and of early cha...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382283/ https://www.ncbi.nlm.nih.gov/pubmed/25831053 http://dx.doi.org/10.1371/journal.pone.0120823 |
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author | Heijmen, Linda ter Voert, Edwin E. G. W. Oyen, Wim J. G. Punt, Cornelis J. A. van Spronsen, Dick Johan Heerschap, Arend de Geus-Oei, Lioe-Fee van Laarhoven, Hanneke W. M. |
author_facet | Heijmen, Linda ter Voert, Edwin E. G. W. Oyen, Wim J. G. Punt, Cornelis J. A. van Spronsen, Dick Johan Heerschap, Arend de Geus-Oei, Lioe-Fee van Laarhoven, Hanneke W. M. |
author_sort | Heijmen, Linda |
collection | PubMed |
description | AIM: Aim of this study was to investigate the potential of (18)F-FDG PET, diffusion weighted imaging (DWI) and susceptibility-weighted (T2*) MRI to predict response to systemic treatment in patients with colorectal liver metastases. The predictive values of pretreatment measurements and of early changes one week after start of therapy, were evaluated. METHODS: Imaging was performed prior to and one week after start of first line chemotherapy in 39 patients with colorectal liver metastases. (18)F-FDG PET scans were performed on a PET/CT scanner and DWI and T2* were performed on a 1.5T MR scanner. The maximum standardized uptake values (SUV), total lesion glycolysis (TLG), apparent diffusion coefficient (ADC) and T2* value were assessed in the same lesions. Up to 5 liver metastases per patient were analyzed. Outcome measures were progression free survival (PFS), overall survival (OS) and size response. RESULTS: Pretreatment, high SUV(max), high TLG, low ADC and high T2* were associated with a shorter OS. Low pretreatment ADC value was associated with shorter PFS. After 1 week a significant drop in SUV(max) and rise in ADC were observed. The drop in SUV was correlated with the rise in ADC (r=-0.58, p=0.002). Neither change in ADC nor in SUV was predictive of PFS or OS. T2* did not significantly change after start of treatment. CONCLUSION: Pretreatment SUV(max), TLG, ADC, and T2* values in colorectal liver metastases are predictive of patient outcome. Despite sensitivity of DWI and (18)F-FDG PET for early treatment effects, change in these parameters was not predictive of long term outcome. |
format | Online Article Text |
id | pubmed-4382283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43822832015-04-09 Multimodality Imaging to Predict Response to Systemic Treatment in Patients with Advanced Colorectal Cancer Heijmen, Linda ter Voert, Edwin E. G. W. Oyen, Wim J. G. Punt, Cornelis J. A. van Spronsen, Dick Johan Heerschap, Arend de Geus-Oei, Lioe-Fee van Laarhoven, Hanneke W. M. PLoS One Research Article AIM: Aim of this study was to investigate the potential of (18)F-FDG PET, diffusion weighted imaging (DWI) and susceptibility-weighted (T2*) MRI to predict response to systemic treatment in patients with colorectal liver metastases. The predictive values of pretreatment measurements and of early changes one week after start of therapy, were evaluated. METHODS: Imaging was performed prior to and one week after start of first line chemotherapy in 39 patients with colorectal liver metastases. (18)F-FDG PET scans were performed on a PET/CT scanner and DWI and T2* were performed on a 1.5T MR scanner. The maximum standardized uptake values (SUV), total lesion glycolysis (TLG), apparent diffusion coefficient (ADC) and T2* value were assessed in the same lesions. Up to 5 liver metastases per patient were analyzed. Outcome measures were progression free survival (PFS), overall survival (OS) and size response. RESULTS: Pretreatment, high SUV(max), high TLG, low ADC and high T2* were associated with a shorter OS. Low pretreatment ADC value was associated with shorter PFS. After 1 week a significant drop in SUV(max) and rise in ADC were observed. The drop in SUV was correlated with the rise in ADC (r=-0.58, p=0.002). Neither change in ADC nor in SUV was predictive of PFS or OS. T2* did not significantly change after start of treatment. CONCLUSION: Pretreatment SUV(max), TLG, ADC, and T2* values in colorectal liver metastases are predictive of patient outcome. Despite sensitivity of DWI and (18)F-FDG PET for early treatment effects, change in these parameters was not predictive of long term outcome. Public Library of Science 2015-04-01 /pmc/articles/PMC4382283/ /pubmed/25831053 http://dx.doi.org/10.1371/journal.pone.0120823 Text en © 2015 Heijmen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Heijmen, Linda ter Voert, Edwin E. G. W. Oyen, Wim J. G. Punt, Cornelis J. A. van Spronsen, Dick Johan Heerschap, Arend de Geus-Oei, Lioe-Fee van Laarhoven, Hanneke W. M. Multimodality Imaging to Predict Response to Systemic Treatment in Patients with Advanced Colorectal Cancer |
title | Multimodality Imaging to Predict Response to Systemic Treatment in Patients with Advanced Colorectal Cancer |
title_full | Multimodality Imaging to Predict Response to Systemic Treatment in Patients with Advanced Colorectal Cancer |
title_fullStr | Multimodality Imaging to Predict Response to Systemic Treatment in Patients with Advanced Colorectal Cancer |
title_full_unstemmed | Multimodality Imaging to Predict Response to Systemic Treatment in Patients with Advanced Colorectal Cancer |
title_short | Multimodality Imaging to Predict Response to Systemic Treatment in Patients with Advanced Colorectal Cancer |
title_sort | multimodality imaging to predict response to systemic treatment in patients with advanced colorectal cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382283/ https://www.ncbi.nlm.nih.gov/pubmed/25831053 http://dx.doi.org/10.1371/journal.pone.0120823 |
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