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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Online Access: | http://dx.doi.org/10.1155/2018/3724393 |
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doaj-2c1535665af3415bbfd5d0b1da4b5c642020-11-24T20:46:30ZengHindawi LimitedBioMed Research International2314-61332314-61412018-01-01201810.1155/2018/37243933724393Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal CancerDong Myung Yeo0Soon Nam Oh1Moon Hyung Choi2Sung Hak Lee3Myung Ah Lee4Seung Eun Jung5Department of Radiology, Daejeon St. Mary’s Hospital, The Catholic University of Korea, Republic of KoreaDepartments of Radiology, Seoul St. Mary’s Hospital, The Catholic University of Korea, Republic of KoreaDepartments of Radiology, Seoul St. Mary’s Hospital, The Catholic University of Korea, Republic of KoreaHospital Pathology, Seoul St. Mary’s Hospital, The Catholic University of Korea, Republic of KoreaDivision of Oncology, Department of Internal Medicine, Seoul St. Mary’s Hospital, The Catholic University of Korea, Republic of KoreaDepartments of Radiology, Seoul St. Mary’s Hospital, The Catholic University of Korea, Republic of KoreaPurpose. 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 vp histogram parameters were significantly higher in group with perineural invasion (PNI). The receiver operating characteristics (ROC) curve analyses showed that mode vp revealed the best diagnostic performance of PNI. The values of Ktrans and kep were significantly higher in the group with KRAS mutation. ROC curve analyses showed that mean and mode Ktrans 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 vp histogram value was present in rectal cancer with PNI. In addition, Ktrans and kep 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.http://dx.doi.org/10.1155/2018/3724393 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dong Myung Yeo Soon Nam Oh Moon Hyung Choi Sung Hak Lee Myung Ah Lee Seung Eun Jung |
spellingShingle |
Dong Myung Yeo Soon Nam Oh Moon Hyung Choi Sung Hak Lee Myung Ah Lee Seung Eun Jung Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer BioMed Research International |
author_facet |
Dong Myung Yeo Soon Nam Oh Moon Hyung Choi Sung Hak Lee Myung Ah Lee Seung Eun Jung |
author_sort |
Dong Myung Yeo |
title |
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_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_sort |
histogram analysis of perfusion parameters from dynamic contrast-enhanced mr imaging with tumor characteristics and therapeutic response in locally advanced rectal cancer |
publisher |
Hindawi Limited |
series |
BioMed Research International |
issn |
2314-6133 2314-6141 |
publishDate |
2018-01-01 |
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 vp histogram parameters were significantly higher in group with perineural invasion (PNI). The receiver operating characteristics (ROC) curve analyses showed that mode vp revealed the best diagnostic performance of PNI. The values of Ktrans and kep were significantly higher in the group with KRAS mutation. ROC curve analyses showed that mean and mode Ktrans 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 vp histogram value was present in rectal cancer with PNI. In addition, Ktrans and kep 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. |
url |
http://dx.doi.org/10.1155/2018/3724393 |
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