MRI-Based Radiomics Analysis of Levator Ani Muscle for Predicting Urine Incontinence after Robot-Assisted Radical Prostatectomy
Background: The exact role of the levator ani (LA) muscle in male continence remains unclear, and so this study aims to shed light on the topic by characterizing MRI-derived radiomic features of LA muscle and their association with postoperative incontinence in men undergoing prostatectomy. Method:...
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| Format: | Article |
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MDPI AG
2023-09-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/13/18/2913 |
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| author | Mohammed Shahait Ruben Usamentiaga Yubing Tong Alex Sandberg David I. Lee Jayaram K. Udupa Drew A. Torigian |
| author_facet | Mohammed Shahait Ruben Usamentiaga Yubing Tong Alex Sandberg David I. Lee Jayaram K. Udupa Drew A. Torigian |
| author_sort | Mohammed Shahait |
| collection | DOAJ |
| description | Background: The exact role of the levator ani (LA) muscle in male continence remains unclear, and so this study aims to shed light on the topic by characterizing MRI-derived radiomic features of LA muscle and their association with postoperative incontinence in men undergoing prostatectomy. Method: In this retrospective study, 140 patients who underwent robot-assisted radical prostatectomy (RARP) for prostate cancer using preoperative MRI were identified. A biomarker discovery approach based on the optimal biomarker (OBM) method was used to extract features from MRI images, including morphological, intensity-based, and texture-based features of the LA muscle, along with clinical variables. Mathematical models were created using subsets of features and were evaluated based on their ability to predict continence outcomes. Results: Univariate analysis showed that the best discriminators between continent and incontinent patients were patients age and features related to LA muscle texture. The proposed feature selection approach found that the best classifier used six features: age, LA muscle texture properties, and the ratio between LA size descriptors. This configuration produced a classification accuracy of 0.84 with a sensitivity of 0.90, specificity of 0.75, and an area under the ROC curve of 0.89. Conclusion: This study found that certain patient factors, such as increased age and specific texture properties of the LA muscle, can increase the odds of incontinence after RARP. The results showed that the proposed approach was highly effective and could distinguish and predict continents from incontinent patients with high accuracy. |
| first_indexed | 2024-03-10T22:53:40Z |
| format | Article |
| id | doaj.art-da6454d9e1b941bc861a62848c18e337 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-10T22:53:40Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-da6454d9e1b941bc861a62848c18e3372023-11-19T10:13:20ZengMDPI AGDiagnostics2075-44182023-09-011318291310.3390/diagnostics13182913MRI-Based Radiomics Analysis of Levator Ani Muscle for Predicting Urine Incontinence after Robot-Assisted Radical ProstatectomyMohammed Shahait0Ruben Usamentiaga1Yubing Tong2Alex Sandberg3David I. Lee4Jayaram K. Udupa5Drew A. Torigian6Department of Surgery, Clemenceau Medical Center, Dubai P.O. Box 124412, United Arab EmiratesDepartment of Computer Science and Engineering, University of Oviedo, 33204 Gijon, SpainMedical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USATemple Medical School, Temple University, Philadelphia, PA 19140, USADepartment of Urology, University of California Irvine, Irvine, CA 92868, USAMedical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USAMedical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USABackground: The exact role of the levator ani (LA) muscle in male continence remains unclear, and so this study aims to shed light on the topic by characterizing MRI-derived radiomic features of LA muscle and their association with postoperative incontinence in men undergoing prostatectomy. Method: In this retrospective study, 140 patients who underwent robot-assisted radical prostatectomy (RARP) for prostate cancer using preoperative MRI were identified. A biomarker discovery approach based on the optimal biomarker (OBM) method was used to extract features from MRI images, including morphological, intensity-based, and texture-based features of the LA muscle, along with clinical variables. Mathematical models were created using subsets of features and were evaluated based on their ability to predict continence outcomes. Results: Univariate analysis showed that the best discriminators between continent and incontinent patients were patients age and features related to LA muscle texture. The proposed feature selection approach found that the best classifier used six features: age, LA muscle texture properties, and the ratio between LA size descriptors. This configuration produced a classification accuracy of 0.84 with a sensitivity of 0.90, specificity of 0.75, and an area under the ROC curve of 0.89. Conclusion: This study found that certain patient factors, such as increased age and specific texture properties of the LA muscle, can increase the odds of incontinence after RARP. The results showed that the proposed approach was highly effective and could distinguish and predict continents from incontinent patients with high accuracy.https://www.mdpi.com/2075-4418/13/18/2913radiomicsMRIprostate cancer |
| spellingShingle | Mohammed Shahait Ruben Usamentiaga Yubing Tong Alex Sandberg David I. Lee Jayaram K. Udupa Drew A. Torigian MRI-Based Radiomics Analysis of Levator Ani Muscle for Predicting Urine Incontinence after Robot-Assisted Radical Prostatectomy Diagnostics radiomics MRI prostate cancer |
| title | MRI-Based Radiomics Analysis of Levator Ani Muscle for Predicting Urine Incontinence after Robot-Assisted Radical Prostatectomy |
| title_full | MRI-Based Radiomics Analysis of Levator Ani Muscle for Predicting Urine Incontinence after Robot-Assisted Radical Prostatectomy |
| title_fullStr | MRI-Based Radiomics Analysis of Levator Ani Muscle for Predicting Urine Incontinence after Robot-Assisted Radical Prostatectomy |
| title_full_unstemmed | MRI-Based Radiomics Analysis of Levator Ani Muscle for Predicting Urine Incontinence after Robot-Assisted Radical Prostatectomy |
| title_short | MRI-Based Radiomics Analysis of Levator Ani Muscle for Predicting Urine Incontinence after Robot-Assisted Radical Prostatectomy |
| title_sort | mri based radiomics analysis of levator ani muscle for predicting urine incontinence after robot assisted radical prostatectomy |
| topic | radiomics MRI prostate cancer |
| url | https://www.mdpi.com/2075-4418/13/18/2913 |
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