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Study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer
BACKGROUND: Response to neoadjuvant chemoradiotherapy (CRT) of rectal cancer is variable. Accurate imaging for prediction and early assessment of response would enable appropriate stratification of management to reduce treatment morbidity and improve therapeutic outcomes. Use of either diffusion wei...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496240/ https://www.ncbi.nlm.nih.gov/pubmed/28676107 http://dx.doi.org/10.1186/s12885-017-3449-4 |
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author | Pham, Trang Thanh Liney, Gary Wong, Karen Rai, Robba Lee, Mark Moses, Daniel Henderson, Christopher Lin, Michael Shin, Joo-Shik Barton, Michael Bernard |
author_facet | Pham, Trang Thanh Liney, Gary Wong, Karen Rai, Robba Lee, Mark Moses, Daniel Henderson, Christopher Lin, Michael Shin, Joo-Shik Barton, Michael Bernard |
author_sort | Pham, Trang Thanh |
collection | PubMed |
description | BACKGROUND: Response to neoadjuvant chemoradiotherapy (CRT) of rectal cancer is variable. Accurate imaging for prediction and early assessment of response would enable appropriate stratification of management to reduce treatment morbidity and improve therapeutic outcomes. Use of either diffusion weighted imaging (DWI) or dynamic contrast enhanced (DCE) imaging alone currently lacks sufficient sensitivity and specificity for clinical use to guide individualized treatment in rectal cancer. Multi-parametric MRI and analysis combining DWI and DCE may have potential to improve the accuracy of therapeutic response prediction and assessment. METHODS: This protocol describes a prospective non-interventional single-arm clinical study. Patients with locally advanced rectal cancer undergoing preoperative CRT will prospectively undergo multi-parametric MRI pre-CRT, week 3 CRT, and post-CRT. The protocol consists of DWI using a read-out segmented sequence (RESOLVE), and DCE with pre-contrast T1-weighted (VIBE) scans for T1 calculation, followed by 60 phases at high temporal resolution (TWIST) after gadoversetamide injection. A 3-dimensional voxel-by-voxel technique will be used to produce colour-coded ADC and K(trans) histograms, and data evaluated in combination using scatter plots. MRI parameters will be correlated with surgical histopathology. Histopathology analysis will be standardized, with chemoradiotherapy response defined according to AJCC 7th Edition Tumour Regression Grade (TRG) criteria. Good response will be defined as TRG 0–1, and poor response will be defined as TRG 2–3. DISCUSSION: The combination of DWI and DCE can provide information on physiological tumour factors such as cellularity and perfusion that may affect radiotherapy response. If validated, multi-parametric MRI combining DWI and DCE can be used to stratify management in rectal cancer patients. Accurate imaging prediction of patients with a complete response to CRT would enable a ‘watch and wait’ approach, avoiding surgical morbidity in these patients. Consistent and reliable quantitation from standardised protocols is essential in order to establish optimal thresholds of ADC and K(trans) and permit the role of multi-parametric MRI for early treatment prediction to be properly evaluated. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) number ACTRN12616001690448 (retrospectively registered 8/12/2016). |
format | Online Article Text |
id | pubmed-5496240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54962402017-07-05 Study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer Pham, Trang Thanh Liney, Gary Wong, Karen Rai, Robba Lee, Mark Moses, Daniel Henderson, Christopher Lin, Michael Shin, Joo-Shik Barton, Michael Bernard BMC Cancer Study Protocol BACKGROUND: Response to neoadjuvant chemoradiotherapy (CRT) of rectal cancer is variable. Accurate imaging for prediction and early assessment of response would enable appropriate stratification of management to reduce treatment morbidity and improve therapeutic outcomes. Use of either diffusion weighted imaging (DWI) or dynamic contrast enhanced (DCE) imaging alone currently lacks sufficient sensitivity and specificity for clinical use to guide individualized treatment in rectal cancer. Multi-parametric MRI and analysis combining DWI and DCE may have potential to improve the accuracy of therapeutic response prediction and assessment. METHODS: This protocol describes a prospective non-interventional single-arm clinical study. Patients with locally advanced rectal cancer undergoing preoperative CRT will prospectively undergo multi-parametric MRI pre-CRT, week 3 CRT, and post-CRT. The protocol consists of DWI using a read-out segmented sequence (RESOLVE), and DCE with pre-contrast T1-weighted (VIBE) scans for T1 calculation, followed by 60 phases at high temporal resolution (TWIST) after gadoversetamide injection. A 3-dimensional voxel-by-voxel technique will be used to produce colour-coded ADC and K(trans) histograms, and data evaluated in combination using scatter plots. MRI parameters will be correlated with surgical histopathology. Histopathology analysis will be standardized, with chemoradiotherapy response defined according to AJCC 7th Edition Tumour Regression Grade (TRG) criteria. Good response will be defined as TRG 0–1, and poor response will be defined as TRG 2–3. DISCUSSION: The combination of DWI and DCE can provide information on physiological tumour factors such as cellularity and perfusion that may affect radiotherapy response. If validated, multi-parametric MRI combining DWI and DCE can be used to stratify management in rectal cancer patients. Accurate imaging prediction of patients with a complete response to CRT would enable a ‘watch and wait’ approach, avoiding surgical morbidity in these patients. Consistent and reliable quantitation from standardised protocols is essential in order to establish optimal thresholds of ADC and K(trans) and permit the role of multi-parametric MRI for early treatment prediction to be properly evaluated. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) number ACTRN12616001690448 (retrospectively registered 8/12/2016). BioMed Central 2017-07-04 /pmc/articles/PMC5496240/ /pubmed/28676107 http://dx.doi.org/10.1186/s12885-017-3449-4 Text en © The Author(s). 2017 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 | Study Protocol Pham, Trang Thanh Liney, Gary Wong, Karen Rai, Robba Lee, Mark Moses, Daniel Henderson, Christopher Lin, Michael Shin, Joo-Shik Barton, Michael Bernard Study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer |
title | Study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer |
title_full | Study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer |
title_fullStr | Study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer |
title_full_unstemmed | Study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer |
title_short | Study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer |
title_sort | study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496240/ https://www.ncbi.nlm.nih.gov/pubmed/28676107 http://dx.doi.org/10.1186/s12885-017-3449-4 |
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