Diffusion-Weighted MRI and Diffusion Kurtosis Imaging to Detect RAS Mutation in Colorectal Liver Metastasis
Objectives: To detect RAS mutation in colorectal liver metastasis by Diffusion-Weighted Magnetic Resonance Imaging (DWI-MRI) - and Diffusion Kurtosis imaging (DKI)-derived parameters. Methods: In total, 106 liver metastasis (60 metastases with RAS mutation) in 52 patients were included in this retro...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Cancers |
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| Online Access: | https://www.mdpi.com/2072-6694/12/9/2420 |
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| author | Vincenza Granata Roberta Fusco Chiara Risi Alessandro Ottaiano Antonio Avallone Alfonso De Stefano Robert Grimm Roberta Grassi Luca Brunese Francesco Izzo Antonella Petrillo |
| author_facet | Vincenza Granata Roberta Fusco Chiara Risi Alessandro Ottaiano Antonio Avallone Alfonso De Stefano Robert Grimm Roberta Grassi Luca Brunese Francesco Izzo Antonella Petrillo |
| author_sort | Vincenza Granata |
| collection | DOAJ |
| description | Objectives: To detect RAS mutation in colorectal liver metastasis by Diffusion-Weighted Magnetic Resonance Imaging (DWI-MRI) - and Diffusion Kurtosis imaging (DKI)-derived parameters. Methods: In total, 106 liver metastasis (60 metastases with RAS mutation) in 52 patients were included in this retrospective study. Diffusion and perfusion parameters were derived by DWI (apparent diffusion coefficient (ADC), basal signal (S0), pseudo-diffusion coefficient (DP), perfusion fraction (FP) and tissue diffusivity (DT)) and DKI data (mean of diffusion coefficient (MD) and mean of diffusional Kurtosis (MK)). Wilcoxon–Mann–Whitney U tests for non-parametric variables and receiver operating characteristic (ROC) analyses were calculated with area under ROC curve (AUC). Moreover, pattern recognition approaches (linear classifier, support vector machine, k-nearest neighbours, decision tree), with features selection methods and a leave-one-out cross validation approach, were considered. Results: A significant discrimination between the group with RAS mutation and the group without RAS mutation was obtained by the standard deviation value of MK (MK STD), by the mean value of MD, and by that of FP. The best results were reached by MK STD with an AUC of 0.80 (sensitivity of 72%, specificity of 85%, accuracy of 79%) using a cut-off of 203.90 × 10<sup>−3</sup>, and by the mean value of MD with AUC of 0.80 (sensitivity of 84%, specificity of 73%, accuracy of 77%) using a cut-off of 1694.30 mm<sup>2</sup>/s × 10<sup>−6</sup>. Considering all extracted features or the predictors obtained by the features selection method (the mean value of S0, the standard deviation value of MK, FP and of DT), the tested pattern recognition approaches did not determine an increase in diagnostic accuracy to detect RAS mutation (AUC of 0.73 and 0.69, respectively). Conclusions: Diffusion-Weighted imaging and Diffusion Kurtosis imaging could be used to detect the RAS mutation in liver metastasis. The standard deviation value of MK and the mean value of MD were the more accurate parameters in the RAS mutation detection, with an AUC of 0.80. |
| first_indexed | 2024-03-10T16:47:54Z |
| format | Article |
| id | doaj.art-7a3abfa38acd4e78a5f50d7197856e3c |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-10T16:47:54Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-7a3abfa38acd4e78a5f50d7197856e3c2023-11-20T11:26:41ZengMDPI AGCancers2072-66942020-08-01129242010.3390/cancers12092420Diffusion-Weighted MRI and Diffusion Kurtosis Imaging to Detect RAS Mutation in Colorectal Liver MetastasisVincenza Granata0Roberta Fusco1Chiara Risi2Alessandro Ottaiano3Antonio Avallone4Alfonso De Stefano5Robert Grimm6Roberta Grassi7Luca Brunese8Francesco Izzo9Antonella Petrillo10Radiology Division, Istituto Nazionale Tumori–IRCCS-Fondazione G. Pascale, Napoli, Italia, Via Mariano Semmola, 80131 Naples, ItalyRadiology Division, Istituto Nazionale Tumori–IRCCS-Fondazione G. Pascale, Napoli, Italia, Via Mariano Semmola, 80131 Naples, ItalyRadiology Division, Universita’ Degli Studi Di Napoli Federico II, 80131 Naples, ItalyAbdominal Oncology Division, Istituto Nazionale Tumori–IRCCS-Fondazione G. Pascale, Napoli, Italia, Via Mariano Semmola, 80131 Naples, ItalyAbdominal Oncology Division, Istituto Nazionale Tumori–IRCCS-Fondazione G. Pascale, Napoli, Italia, Via Mariano Semmola, 80131 Naples, ItalyAbdominal Oncology Division, Istituto Nazionale Tumori–IRCCS-Fondazione G. Pascale, Napoli, Italia, Via Mariano Semmola, 80131 Naples, ItalySiemens Healthcare GmbH, 91052 Erlangen, GermanyRadiology Division, Universita’ Degli Studi Della Campania Luigi Vanvitelli, Piazza Miraglia, 80138 Naples, ItalyRector of the Universita’ Degli Studi Del Molise, 86100 Molise, ItalyHepatobiliary Surgical Oncology Division, Istituto Nazionale Tumori–IRCCS-Fondazione G. Pascale, Napoli, Italia, Via Mariano Semmola, 80131 Naples, ItalyRadiology Division, Istituto Nazionale Tumori–IRCCS-Fondazione G. Pascale, Napoli, Italia, Via Mariano Semmola, 80131 Naples, ItalyObjectives: To detect RAS mutation in colorectal liver metastasis by Diffusion-Weighted Magnetic Resonance Imaging (DWI-MRI) - and Diffusion Kurtosis imaging (DKI)-derived parameters. Methods: In total, 106 liver metastasis (60 metastases with RAS mutation) in 52 patients were included in this retrospective study. Diffusion and perfusion parameters were derived by DWI (apparent diffusion coefficient (ADC), basal signal (S0), pseudo-diffusion coefficient (DP), perfusion fraction (FP) and tissue diffusivity (DT)) and DKI data (mean of diffusion coefficient (MD) and mean of diffusional Kurtosis (MK)). Wilcoxon–Mann–Whitney U tests for non-parametric variables and receiver operating characteristic (ROC) analyses were calculated with area under ROC curve (AUC). Moreover, pattern recognition approaches (linear classifier, support vector machine, k-nearest neighbours, decision tree), with features selection methods and a leave-one-out cross validation approach, were considered. Results: A significant discrimination between the group with RAS mutation and the group without RAS mutation was obtained by the standard deviation value of MK (MK STD), by the mean value of MD, and by that of FP. The best results were reached by MK STD with an AUC of 0.80 (sensitivity of 72%, specificity of 85%, accuracy of 79%) using a cut-off of 203.90 × 10<sup>−3</sup>, and by the mean value of MD with AUC of 0.80 (sensitivity of 84%, specificity of 73%, accuracy of 77%) using a cut-off of 1694.30 mm<sup>2</sup>/s × 10<sup>−6</sup>. Considering all extracted features or the predictors obtained by the features selection method (the mean value of S0, the standard deviation value of MK, FP and of DT), the tested pattern recognition approaches did not determine an increase in diagnostic accuracy to detect RAS mutation (AUC of 0.73 and 0.69, respectively). Conclusions: Diffusion-Weighted imaging and Diffusion Kurtosis imaging could be used to detect the RAS mutation in liver metastasis. The standard deviation value of MK and the mean value of MD were the more accurate parameters in the RAS mutation detection, with an AUC of 0.80.https://www.mdpi.com/2072-6694/12/9/2420magnetic resonance imagingDWIDKIliver metastasis |
| spellingShingle | Vincenza Granata Roberta Fusco Chiara Risi Alessandro Ottaiano Antonio Avallone Alfonso De Stefano Robert Grimm Roberta Grassi Luca Brunese Francesco Izzo Antonella Petrillo Diffusion-Weighted MRI and Diffusion Kurtosis Imaging to Detect RAS Mutation in Colorectal Liver Metastasis Cancers magnetic resonance imaging DWI DKI liver metastasis |
| title | Diffusion-Weighted MRI and Diffusion Kurtosis Imaging to Detect RAS Mutation in Colorectal Liver Metastasis |
| title_full | Diffusion-Weighted MRI and Diffusion Kurtosis Imaging to Detect RAS Mutation in Colorectal Liver Metastasis |
| title_fullStr | Diffusion-Weighted MRI and Diffusion Kurtosis Imaging to Detect RAS Mutation in Colorectal Liver Metastasis |
| title_full_unstemmed | Diffusion-Weighted MRI and Diffusion Kurtosis Imaging to Detect RAS Mutation in Colorectal Liver Metastasis |
| title_short | Diffusion-Weighted MRI and Diffusion Kurtosis Imaging to Detect RAS Mutation in Colorectal Liver Metastasis |
| title_sort | diffusion weighted mri and diffusion kurtosis imaging to detect ras mutation in colorectal liver metastasis |
| topic | magnetic resonance imaging DWI DKI liver metastasis |
| url | https://www.mdpi.com/2072-6694/12/9/2420 |
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