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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
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.
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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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