Intravoxel Incoherent Motion Model of Diffusion Weighted Imaging and Diffusion Kurtosis Imaging in Differentiating of Local Colorectal Cancer Recurrence from Scar/Fibrosis Tissue by Multivariate Logistic Regression Analysis
Purpose: The aim of the study is to evaluate the potential of Intravoxel incoherent motion model of diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in the differentiation of local colorectal cancer recurrence (LCR) from scar/fibrosis tissue in patients that underwent chemo-radi...
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MDPI AG
2020-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/23/8609 |
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| author | Roberta Fusco Vincenza Granata Mario Sansone Robert Grimm Paolo Delrio Daniela Rega Fabiana Tatangelo Antonio Avallone Nicola Raiano Giuseppe Totaro Vincenzo Cerciello Biagio Pecori Antonella Petrillo |
| author_facet | Roberta Fusco Vincenza Granata Mario Sansone Robert Grimm Paolo Delrio Daniela Rega Fabiana Tatangelo Antonio Avallone Nicola Raiano Giuseppe Totaro Vincenzo Cerciello Biagio Pecori Antonella Petrillo |
| author_sort | Roberta Fusco |
| collection | DOAJ |
| description | Purpose: The aim of the study is to evaluate the potential of Intravoxel incoherent motion model of diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in the differentiation of local colorectal cancer recurrence (LCR) from scar/fibrosis tissue in patients that underwent chemo-radiation therapy followed by the total mesorectal excision (TME) for locally advanced rectal cancer (LARC). Methods: Fifty-six patients were retrospectively included for the image analysis. Diffusion and perfusion parameters were extracted by DWI data (apparent diffusion coefficient (ADC), pseudo-diffusion coefficient (Dp), perfusion fraction (fp), and tissue diffusivity (Dt)) and DKI data (mean of diffusion coefficient (MD) and mean of diffusional Kurtosis). Wilcoxon-Mann-Whitney U test, receiver operating characteristic (ROC) analyses, and area under ROC curve (AUC) were used in a univariate statistical analysis. Backward stepwise multivariate logistic regression analysis was also performed. Results: LCR was found in 34 patients and treatment related changes such as scar/fibrosis tissue in 22 patients. At univariate analysis, low performance was reached by the mean value of Kurtosis with and AUC of 0.72 and an accuracy of 75%, respectively. Considering a regression model obtained as weighted sum of the ADC, Kurtosis, fp and Dp mean values, reached an AUC of 0.82 with a sensitivity of 72%, a specificity of 93%, and an accuracy of 81%. Conclusions: DWI derived parameters combined with DKI derived metrics in a multivariate model could allow differentiating of local colorectal recurrence from scar/fibrosis tissue after TME of LARC. |
| first_indexed | 2024-03-10T14:24:46Z |
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| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T14:24:46Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-e4fa3e10331b48ec8282b33f0f3e4e752023-11-20T23:08:18ZengMDPI AGApplied Sciences2076-34172020-12-011023860910.3390/app10238609Intravoxel Incoherent Motion Model of Diffusion Weighted Imaging and Diffusion Kurtosis Imaging in Differentiating of Local Colorectal Cancer Recurrence from Scar/Fibrosis Tissue by Multivariate Logistic Regression AnalysisRoberta Fusco0Vincenza Granata1Mario Sansone2Robert Grimm3Paolo Delrio4Daniela Rega5Fabiana Tatangelo6Antonio Avallone7Nicola Raiano8Giuseppe Totaro9Vincenzo Cerciello10Biagio Pecori11Antonella Petrillo12Division of Radiology, “Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale”, Via Mariano Semmola, 80131 Naples, ItalyDivision of Radiology, “Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale”, Via Mariano Semmola, 80131 Naples, ItalyDepartment, Electrical Engineering and Information Technologies DIETI, Via Claudio, 80125 Naples, ItalySiemens Healthcare GmbH, Henkestraße 127, 91052 Erlangen, GermanyDivision of Colo-rectal Surgical Oncology, “Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale”, Via Mariano Semmola, 80131 Naples, ItalyDivision of Colo-rectal Surgical Oncology, “Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale”, Via Mariano Semmola, 80131 Naples, ItalyDivision of Diagnostic Pathology, “Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale”, Via Mariano Semmola, 80131 Naples, ItalyDivision of Gastrointestinal Medical Oncology, “Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale”, Via Mariano Semmola, 80131 Naples, ItalyDivision of Radiology, “Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale”, Via Mariano Semmola, 80131 Naples, ItalyDivion of Radiotherapy, “Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale”, Via Mariano Semmola, 80131 Naples, ItalyHealth Physics, “Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale”, Via Mariano Semmola, 80131 Naples, ItalyDivion of Radiotherapy, “Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale”, Via Mariano Semmola, 80131 Naples, ItalyDivision of Radiology, “Istituto Nazionale Tumori—IRCCS—Fondazione G. Pascale”, Via Mariano Semmola, 80131 Naples, ItalyPurpose: The aim of the study is to evaluate the potential of Intravoxel incoherent motion model of diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in the differentiation of local colorectal cancer recurrence (LCR) from scar/fibrosis tissue in patients that underwent chemo-radiation therapy followed by the total mesorectal excision (TME) for locally advanced rectal cancer (LARC). Methods: Fifty-six patients were retrospectively included for the image analysis. Diffusion and perfusion parameters were extracted by DWI data (apparent diffusion coefficient (ADC), pseudo-diffusion coefficient (Dp), perfusion fraction (fp), and tissue diffusivity (Dt)) and DKI data (mean of diffusion coefficient (MD) and mean of diffusional Kurtosis). Wilcoxon-Mann-Whitney U test, receiver operating characteristic (ROC) analyses, and area under ROC curve (AUC) were used in a univariate statistical analysis. Backward stepwise multivariate logistic regression analysis was also performed. Results: LCR was found in 34 patients and treatment related changes such as scar/fibrosis tissue in 22 patients. At univariate analysis, low performance was reached by the mean value of Kurtosis with and AUC of 0.72 and an accuracy of 75%, respectively. Considering a regression model obtained as weighted sum of the ADC, Kurtosis, fp and Dp mean values, reached an AUC of 0.82 with a sensitivity of 72%, a specificity of 93%, and an accuracy of 81%. Conclusions: DWI derived parameters combined with DKI derived metrics in a multivariate model could allow differentiating of local colorectal recurrence from scar/fibrosis tissue after TME of LARC.https://www.mdpi.com/2076-3417/10/23/8609rectal cancermagnetic resonance imagingrecurrence |
| spellingShingle | Roberta Fusco Vincenza Granata Mario Sansone Robert Grimm Paolo Delrio Daniela Rega Fabiana Tatangelo Antonio Avallone Nicola Raiano Giuseppe Totaro Vincenzo Cerciello Biagio Pecori Antonella Petrillo Intravoxel Incoherent Motion Model of Diffusion Weighted Imaging and Diffusion Kurtosis Imaging in Differentiating of Local Colorectal Cancer Recurrence from Scar/Fibrosis Tissue by Multivariate Logistic Regression Analysis Applied Sciences rectal cancer magnetic resonance imaging recurrence |
| title | Intravoxel Incoherent Motion Model of Diffusion Weighted Imaging and Diffusion Kurtosis Imaging in Differentiating of Local Colorectal Cancer Recurrence from Scar/Fibrosis Tissue by Multivariate Logistic Regression Analysis |
| title_full | Intravoxel Incoherent Motion Model of Diffusion Weighted Imaging and Diffusion Kurtosis Imaging in Differentiating of Local Colorectal Cancer Recurrence from Scar/Fibrosis Tissue by Multivariate Logistic Regression Analysis |
| title_fullStr | Intravoxel Incoherent Motion Model of Diffusion Weighted Imaging and Diffusion Kurtosis Imaging in Differentiating of Local Colorectal Cancer Recurrence from Scar/Fibrosis Tissue by Multivariate Logistic Regression Analysis |
| title_full_unstemmed | Intravoxel Incoherent Motion Model of Diffusion Weighted Imaging and Diffusion Kurtosis Imaging in Differentiating of Local Colorectal Cancer Recurrence from Scar/Fibrosis Tissue by Multivariate Logistic Regression Analysis |
| title_short | Intravoxel Incoherent Motion Model of Diffusion Weighted Imaging and Diffusion Kurtosis Imaging in Differentiating of Local Colorectal Cancer Recurrence from Scar/Fibrosis Tissue by Multivariate Logistic Regression Analysis |
| title_sort | intravoxel incoherent motion model of diffusion weighted imaging and diffusion kurtosis imaging in differentiating of local colorectal cancer recurrence from scar fibrosis tissue by multivariate logistic regression analysis |
| topic | rectal cancer magnetic resonance imaging recurrence |
| url | https://www.mdpi.com/2076-3417/10/23/8609 |
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