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Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer

PURPOSE: To explore the role of histogram analysis of perfusion parameters from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) based on entire tumor volume in discriminating tumor characteristics and predicting therapeutic response in rectal cancer. MATERIALS AND METHODS: Thirty-seve...

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Autores principales: Yeo, Dong Myung, Oh, Soon Nam, Choi, Moon Hyung, Lee, Sung Hak, Lee, Myung Ah, Jung, Seung Eun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110013/
https://www.ncbi.nlm.nih.gov/pubmed/30186857
http://dx.doi.org/10.1155/2018/3724393
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author Yeo, Dong Myung
Oh, Soon Nam
Choi, Moon Hyung
Lee, Sung Hak
Lee, Myung Ah
Jung, Seung Eun
author_facet Yeo, Dong Myung
Oh, Soon Nam
Choi, Moon Hyung
Lee, Sung Hak
Lee, Myung Ah
Jung, Seung Eun
author_sort Yeo, Dong Myung
collection PubMed
description PURPOSE: To explore the role of histogram analysis of perfusion parameters from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) based on entire tumor volume in discriminating tumor characteristics and predicting therapeutic response in rectal cancer. MATERIALS AND METHODS: Thirty-seven DCE-MRIs of locally advanced rectal cancer patients who received chemoradiation therapy (CRT) before surgery were analyzed by pharmacokinetic model for quantification and histogram analysis of perfusion parameters. The results were correlated with tumor characteristics including EGFR expression, KRAS mutation, and CRT response based on the pathologic tumor regression grade (TRG). RESULTS: The area under the contrast agent concentration-time curve (AUC) skewness was significantly lower in patients with node metastasis. The v(p) histogram parameters were significantly higher in group with perineural invasion (PNI). The receiver operating characteristics (ROC) curve analyses showed that mode v(p) revealed the best diagnostic performance of PNI. The values of K(trans) and k(ep) were significantly higher in the group with KRAS mutation. ROC curve analyses showed that mean and mode K(trans) demonstrated excellent diagnostic performance of KRAS mutation. DCE-MRI parameters did not demonstrate statistical significance in correlating with TRG. CONCLUSION: These preliminary results suggest that a larger proportion of higher AUC skewness was present in LN metastasis group and a higher v(p) histogram value was present in rectal cancer with PNI. In addition, K(trans) and k(ep) histogram parameters showed difference according to the KRAS mutation, demonstrating the utility of the histogram of perfusion parameters derived from DCE-MRI as potential imaging biomarkers of tumor characteristics and genetic features.
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spelling pubmed-61100132018-09-05 Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer Yeo, Dong Myung Oh, Soon Nam Choi, Moon Hyung Lee, Sung Hak Lee, Myung Ah Jung, Seung Eun Biomed Res Int Research Article PURPOSE: To explore the role of histogram analysis of perfusion parameters from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) based on entire tumor volume in discriminating tumor characteristics and predicting therapeutic response in rectal cancer. MATERIALS AND METHODS: Thirty-seven DCE-MRIs of locally advanced rectal cancer patients who received chemoradiation therapy (CRT) before surgery were analyzed by pharmacokinetic model for quantification and histogram analysis of perfusion parameters. The results were correlated with tumor characteristics including EGFR expression, KRAS mutation, and CRT response based on the pathologic tumor regression grade (TRG). RESULTS: The area under the contrast agent concentration-time curve (AUC) skewness was significantly lower in patients with node metastasis. The v(p) histogram parameters were significantly higher in group with perineural invasion (PNI). The receiver operating characteristics (ROC) curve analyses showed that mode v(p) revealed the best diagnostic performance of PNI. The values of K(trans) and k(ep) were significantly higher in the group with KRAS mutation. ROC curve analyses showed that mean and mode K(trans) demonstrated excellent diagnostic performance of KRAS mutation. DCE-MRI parameters did not demonstrate statistical significance in correlating with TRG. CONCLUSION: These preliminary results suggest that a larger proportion of higher AUC skewness was present in LN metastasis group and a higher v(p) histogram value was present in rectal cancer with PNI. In addition, K(trans) and k(ep) histogram parameters showed difference according to the KRAS mutation, demonstrating the utility of the histogram of perfusion parameters derived from DCE-MRI as potential imaging biomarkers of tumor characteristics and genetic features. Hindawi 2018-08-13 /pmc/articles/PMC6110013/ /pubmed/30186857 http://dx.doi.org/10.1155/2018/3724393 Text en Copyright © 2018 Dong Myung Yeo et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yeo, Dong Myung
Oh, Soon Nam
Choi, Moon Hyung
Lee, Sung Hak
Lee, Myung Ah
Jung, Seung Eun
Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer
title Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer
title_full Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer
title_fullStr Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer
title_full_unstemmed Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer
title_short Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer
title_sort histogram analysis of perfusion parameters from dynamic contrast-enhanced mr imaging with tumor characteristics and therapeutic response in locally advanced rectal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110013/
https://www.ncbi.nlm.nih.gov/pubmed/30186857
http://dx.doi.org/10.1155/2018/3724393
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