Performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different MRI acquisition settings
PURPOSE:In this study, we assessed the performance of apparent diffusion coefficient (ADC) and diffusion-weighted imaging (DWI) metrics and their ratios across different magnetic resonance imaging (MRI) acquisition settings, with or without an endorectal coil (ERC), for the evaluation of prostate ca...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Galenos Publishing House
2022-01-01
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| Series: | Diagnostic and Interventional Radiology |
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http://www.dirjournal.org/archives/archive-detail/article-preview/performance-of-apparent-diffusion-coefficient-valu/53759
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| _version_ | 1827823550747115520 |
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| author | Ercan Karaarslan Aylin Altan Kus Deniz Alis Umut Can Karaarslan Yesim Saglican Omer Burak Argun Ali Riza Kural |
| author_facet | Ercan Karaarslan Aylin Altan Kus Deniz Alis Umut Can Karaarslan Yesim Saglican Omer Burak Argun Ali Riza Kural |
| author_sort | Ercan Karaarslan |
| collection | DOAJ |
| description | PURPOSE:In this study, we assessed the performance of apparent diffusion coefficient (ADC) and diffusion-weighted imaging (DWI) metrics and their ratios across different magnetic resonance imaging (MRI) acquisition settings, with or without an endorectal coil (ERC), for the evaluation of prostate cancer (PCa) aggressiveness using whole-mount specimens as a reference.METHODS:We retrospectively reviewed the data of prostate carcinoma patients with a Gleason score (GS) of 3+4 or higher who underwent prostate MRI using a 3T unit at our institution. They were divided into two groups based on the use of ERC for MRI acquisition, and patients who underwent prostate MRI with an ERC constituted the ERC (n = 55) data set, while the remaining patients accounted for the non-ERC data set (n = 41). DWI was performed with b-values of 50, 500, 1000, and 1,400 s/mm2, and ADC maps were automatically calculated. Additionally, computed DWI (cDWI) was performed with a b-value of 2000 s/mm2. Six ADC and two cDWI parameters were evaluated. In the ERC data set, receiver operating characteristic (ROC) curves were plotted for each metric to determine the best cutoff threshold values for differentiating GS 3+4 PCa from that with a higher GS. The performance of these cutoff values was assessed in non-ERC dataset. The diagnostic accuracies and area under the curves (AUCs) of the metrics were compared using Fisher’s exact test and De Long’s method, respectively.RESULTS:Among all metrics, the ADCmean-ratio yielded the highest AUC, 0.84, for differing GS 3+4 PCa from that with a higher GS. The best threshold cutoff values of ADCmean-ratio (£0.51) for discriminating GS 3+4 PCa from that with a higher GS classified 48 patients out of 55 with an accuracy of 87.27%. However, there was no significant difference between each metric in terms of accuracy and AUC (p = 0.163 and 0.214). Similarly, in the non-ERC data set, the ADCmean-ratio provided the highest diagnostic accuracy (82.92%) by classifying 34 patients out of 41. However, Fisher’s exact test yielded no significant difference between DWI and ADC metrics in terms of diagnostic accuracy in non-ERC data (p = 0.561).CONCLUSION:The mean ADC ratio of the tumor to the normal prostate showed the highest accuracy and AUC in differentiating GS 3+4 PCa and PCa with a higher GS across different MRI acquisition settings; however, the performance of different ADC and DWI metrics did not differ significantly. |
| first_indexed | 2024-03-12T02:13:21Z |
| format | Article |
| id | doaj.art-9b521709629742a39ea0a969b602c097 |
| institution | Directory Open Access Journal |
| issn | 1305-3825 1305-3612 |
| language | English |
| last_indexed | 2024-03-12T02:13:21Z |
| publishDate | 2022-01-01 |
| publisher | Galenos Publishing House |
| record_format | Article |
| series | Diagnostic and Interventional Radiology |
| spelling | doaj.art-9b521709629742a39ea0a969b602c0972023-09-06T12:11:54ZengGalenos Publishing HouseDiagnostic and Interventional Radiology1305-38251305-36122022-01-01281122010.5152/dir.2022.2073213049054Performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different MRI acquisition settingsErcan Karaarslan0Aylin Altan Kus1Deniz Alis2Umut Can Karaarslan3Yesim Saglican4Omer Burak Argun5Ali Riza Kural6 Department of Radiology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey Department of Radiology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey Department of Radiology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey Department of Pathology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey Department of Urology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey Department of Urology, Acibadem Mehmet Ali Aydinlar University, School of Medicine, Istanbul, Turkey PURPOSE:In this study, we assessed the performance of apparent diffusion coefficient (ADC) and diffusion-weighted imaging (DWI) metrics and their ratios across different magnetic resonance imaging (MRI) acquisition settings, with or without an endorectal coil (ERC), for the evaluation of prostate cancer (PCa) aggressiveness using whole-mount specimens as a reference.METHODS:We retrospectively reviewed the data of prostate carcinoma patients with a Gleason score (GS) of 3+4 or higher who underwent prostate MRI using a 3T unit at our institution. They were divided into two groups based on the use of ERC for MRI acquisition, and patients who underwent prostate MRI with an ERC constituted the ERC (n = 55) data set, while the remaining patients accounted for the non-ERC data set (n = 41). DWI was performed with b-values of 50, 500, 1000, and 1,400 s/mm2, and ADC maps were automatically calculated. Additionally, computed DWI (cDWI) was performed with a b-value of 2000 s/mm2. Six ADC and two cDWI parameters were evaluated. In the ERC data set, receiver operating characteristic (ROC) curves were plotted for each metric to determine the best cutoff threshold values for differentiating GS 3+4 PCa from that with a higher GS. The performance of these cutoff values was assessed in non-ERC dataset. The diagnostic accuracies and area under the curves (AUCs) of the metrics were compared using Fisher’s exact test and De Long’s method, respectively.RESULTS:Among all metrics, the ADCmean-ratio yielded the highest AUC, 0.84, for differing GS 3+4 PCa from that with a higher GS. The best threshold cutoff values of ADCmean-ratio (£0.51) for discriminating GS 3+4 PCa from that with a higher GS classified 48 patients out of 55 with an accuracy of 87.27%. However, there was no significant difference between each metric in terms of accuracy and AUC (p = 0.163 and 0.214). Similarly, in the non-ERC data set, the ADCmean-ratio provided the highest diagnostic accuracy (82.92%) by classifying 34 patients out of 41. However, Fisher’s exact test yielded no significant difference between DWI and ADC metrics in terms of diagnostic accuracy in non-ERC data (p = 0.561).CONCLUSION:The mean ADC ratio of the tumor to the normal prostate showed the highest accuracy and AUC in differentiating GS 3+4 PCa and PCa with a higher GS across different MRI acquisition settings; however, the performance of different ADC and DWI metrics did not differ significantly. http://www.dirjournal.org/archives/archive-detail/article-preview/performance-of-apparent-diffusion-coefficient-valu/53759 |
| spellingShingle | Ercan Karaarslan Aylin Altan Kus Deniz Alis Umut Can Karaarslan Yesim Saglican Omer Burak Argun Ali Riza Kural Performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different MRI acquisition settings Diagnostic and Interventional Radiology |
| title | Performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different MRI acquisition settings |
| title_full | Performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different MRI acquisition settings |
| title_fullStr | Performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different MRI acquisition settings |
| title_full_unstemmed | Performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different MRI acquisition settings |
| title_short | Performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different MRI acquisition settings |
| title_sort | performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different mri acquisition settings |
| url |
http://www.dirjournal.org/archives/archive-detail/article-preview/performance-of-apparent-diffusion-coefficient-valu/53759
|
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