The reliability of the computed tomography perfusion parameters as a predictor of colorectal cancer grade: influence of tumor region of interest position

Abstract Background The aim of this study is to prospectively determine whether the computed tomography perfusion (CTP) can predict the tumor grade in colorectal cancer (CRC), and investigation of the best position of the tumor region of interest (ROI) could improve the tumor grade differentiation....

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Main Authors: Lamiaa M. R. Khalaf, Peter E. Megal, Mostafa El-Sharkawy, Afaf Abd Elkader, Mona M. Sayed, Marwa T. Hussien, Hanan A. Eltyb
Format: Article
Language:English
Published: SpringerOpen 2020-03-01
Series:The Egyptian Journal of Radiology and Nuclear Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s43055-020-00166-6
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spelling doaj-8e8b2c1bfe134a3385f3b1fafb8848a42020-11-25T02:56:42ZengSpringerOpenThe Egyptian Journal of Radiology and Nuclear Medicine2090-47622020-03-015111810.1186/s43055-020-00166-6The reliability of the computed tomography perfusion parameters as a predictor of colorectal cancer grade: influence of tumor region of interest positionLamiaa M. R. Khalaf0Peter E. Megal1Mostafa El-Sharkawy2Afaf Abd Elkader3Mona M. Sayed4Marwa T. Hussien5Hanan A. Eltyb6Diagnostic Radiology Department, South Egypt Cancer Institute, Assiut UniversityDiagnostic Radiology Department, South Egypt Cancer Institute, Assiut UniversityDiagnostic Radiology Department, South Egypt Cancer Institute, Assiut UniversityDiagnostic Radiology Department, Faculty of Medicine, Assiut UniversityRadiation Oncology Department, South Egypt Cancer Institute, Assiut UniversityPathology Department, South Egypt Cancer Institute, Assiut UniversityMedical Oncology Department, South Egypt Cancer Institute, Assiut UniversityAbstract Background The aim of this study is to prospectively determine whether the computed tomography perfusion (CTP) can predict the tumor grade in colorectal cancer (CRC), and investigation of the best position of the tumor region of interest (ROI) could improve the tumor grade differentiation. Results The mean blood flow (mBF) at the tumor edge was significantly different among different tumor grades with the highest value noted in moderately differentiated and the lowest value in poorly differentiated CRC (111.67 ± 38.91 vs. 52.25 ± 21.97 ml/min/100 g, respectively, P = 0.03). At the tumor center, the BF and blood volume (BV) showed highest value in moderately differentiated and the lowest value in poorly differentiated CRC (P < 0.001, 0.02 respectively). The ROC curve revealed that the BF at the tumor edge showed its best results as regard its sensitivity 73.9% and specificity 82.1% in the characterization of moderately differentiated CRC from the other subtypes at > 92.2 ml/100 g/min cut off point and their AUC and P value were (0.82 and < 0.001 respectively), while the AUC of the BF at the tumor center was 0.81 and its P value was 0.03. In the characterization of poorly differentiated CRC from the other subtypes, BF cut off value at < 67.32 ml/100 g/min at the tumor edge showed the best performance of its sensitivity 88% and specificity 88% with 0.92 AUC and P value was < 0.001, while the AUC of the BF at the tumor center was 0.89. BF was higher at the edge than at the center of the tumor (88.53 ± 22.45 vs. 78.79 ± 28.98 ml/min/100 g; P < 0.001 respectively). Conclusions PCT could help in prediction of the poorly and the moderately differentiated CRC and the mBF was the most reliable parameter in prediction of the grade. The variation in ROI position has no substantial difference in the prediction of the tumor grade; however, this variation has a significant impact on the measurements of the PCT parameters especially the BF.http://link.springer.com/article/10.1186/s43055-020-00166-6Colorectal cancer gradesMultidetector computed tomographyPerfusion
collection DOAJ
language English
format Article
sources DOAJ
author Lamiaa M. R. Khalaf
Peter E. Megal
Mostafa El-Sharkawy
Afaf Abd Elkader
Mona M. Sayed
Marwa T. Hussien
Hanan A. Eltyb
spellingShingle Lamiaa M. R. Khalaf
Peter E. Megal
Mostafa El-Sharkawy
Afaf Abd Elkader
Mona M. Sayed
Marwa T. Hussien
Hanan A. Eltyb
The reliability of the computed tomography perfusion parameters as a predictor of colorectal cancer grade: influence of tumor region of interest position
The Egyptian Journal of Radiology and Nuclear Medicine
Colorectal cancer grades
Multidetector computed tomography
Perfusion
author_facet Lamiaa M. R. Khalaf
Peter E. Megal
Mostafa El-Sharkawy
Afaf Abd Elkader
Mona M. Sayed
Marwa T. Hussien
Hanan A. Eltyb
author_sort Lamiaa M. R. Khalaf
title The reliability of the computed tomography perfusion parameters as a predictor of colorectal cancer grade: influence of tumor region of interest position
title_short The reliability of the computed tomography perfusion parameters as a predictor of colorectal cancer grade: influence of tumor region of interest position
title_full The reliability of the computed tomography perfusion parameters as a predictor of colorectal cancer grade: influence of tumor region of interest position
title_fullStr The reliability of the computed tomography perfusion parameters as a predictor of colorectal cancer grade: influence of tumor region of interest position
title_full_unstemmed The reliability of the computed tomography perfusion parameters as a predictor of colorectal cancer grade: influence of tumor region of interest position
title_sort reliability of the computed tomography perfusion parameters as a predictor of colorectal cancer grade: influence of tumor region of interest position
publisher SpringerOpen
series The Egyptian Journal of Radiology and Nuclear Medicine
issn 2090-4762
publishDate 2020-03-01
description Abstract Background The aim of this study is to prospectively determine whether the computed tomography perfusion (CTP) can predict the tumor grade in colorectal cancer (CRC), and investigation of the best position of the tumor region of interest (ROI) could improve the tumor grade differentiation. Results The mean blood flow (mBF) at the tumor edge was significantly different among different tumor grades with the highest value noted in moderately differentiated and the lowest value in poorly differentiated CRC (111.67 ± 38.91 vs. 52.25 ± 21.97 ml/min/100 g, respectively, P = 0.03). At the tumor center, the BF and blood volume (BV) showed highest value in moderately differentiated and the lowest value in poorly differentiated CRC (P < 0.001, 0.02 respectively). The ROC curve revealed that the BF at the tumor edge showed its best results as regard its sensitivity 73.9% and specificity 82.1% in the characterization of moderately differentiated CRC from the other subtypes at > 92.2 ml/100 g/min cut off point and their AUC and P value were (0.82 and < 0.001 respectively), while the AUC of the BF at the tumor center was 0.81 and its P value was 0.03. In the characterization of poorly differentiated CRC from the other subtypes, BF cut off value at < 67.32 ml/100 g/min at the tumor edge showed the best performance of its sensitivity 88% and specificity 88% with 0.92 AUC and P value was < 0.001, while the AUC of the BF at the tumor center was 0.89. BF was higher at the edge than at the center of the tumor (88.53 ± 22.45 vs. 78.79 ± 28.98 ml/min/100 g; P < 0.001 respectively). Conclusions PCT could help in prediction of the poorly and the moderately differentiated CRC and the mBF was the most reliable parameter in prediction of the grade. The variation in ROI position has no substantial difference in the prediction of the tumor grade; however, this variation has a significant impact on the measurements of the PCT parameters especially the BF.
topic Colorectal cancer grades
Multidetector computed tomography
Perfusion
url http://link.springer.com/article/10.1186/s43055-020-00166-6
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