Cone-beam CT delta-radiomics to predict genitourinary toxicities and international prostate symptom of prostate cancer patients: a pilot study
Abstract For prostate cancer (PCa) patients treated with definitive radiotherapy (RT), acute and late RT-related genitourinary (GU) toxicities adversely impact disease-specific quality of life. Early warning of potential RT toxicities can prompt interventions that may prevent or mitigate future adve...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-11-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-24435-8 |
| _version_ | 1811215931830960128 |
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| author | Rodrigo Delgadillo Benjamin O. Spieler Anthony M. Deana John C. Ford Deukwoo Kwon Fei Yang Matthew T. Studenski Kyle R. Padgett Matthew C. Abramowitz Alan Dal Pra Radka Stoyanova Nesrin Dogan |
| author_facet | Rodrigo Delgadillo Benjamin O. Spieler Anthony M. Deana John C. Ford Deukwoo Kwon Fei Yang Matthew T. Studenski Kyle R. Padgett Matthew C. Abramowitz Alan Dal Pra Radka Stoyanova Nesrin Dogan |
| author_sort | Rodrigo Delgadillo |
| collection | DOAJ |
| description | Abstract For prostate cancer (PCa) patients treated with definitive radiotherapy (RT), acute and late RT-related genitourinary (GU) toxicities adversely impact disease-specific quality of life. Early warning of potential RT toxicities can prompt interventions that may prevent or mitigate future adverse events. During intensity modulated RT (IMRT) of PCa, daily cone-beam computed tomography (CBCT) images are used to improve treatment accuracy through image guidance. This work investigated the performance of CBCT-based delta-radiomic features (DRF) models to predict acute and sub-acute International Prostate Symptom Scores (IPSS) and Common Terminology Criteria for Adverse Events (CTCAE) version 5 GU toxicity grades for 50 PCa patients treated with definitive RT. Delta-radiomics models were built using logistic regression, random forest for feature selection, and a 1000 iteration bootstrapping leave one analysis for cross validation. To our knowledge, no prior studies of PCa have used DRF models based on daily CBCT images. AUC of 0.83 for IPSS and greater than 0.7 for CTCAE grades were achieved as early as week 1 of treatment. DRF extracted from CBCT images showed promise for the development of models predictive of RT outcomes. Future studies will include using artificial intelligence and machine learning to expand CBCT sample sizes available for radiomics analysis. |
| first_indexed | 2024-04-12T06:31:39Z |
| format | Article |
| id | doaj.art-a8e12246329f4b3795929841a3819432 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-12T06:31:39Z |
| publishDate | 2022-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-a8e12246329f4b3795929841a38194322022-12-22T03:44:01ZengNature PortfolioScientific Reports2045-23222022-11-0112111610.1038/s41598-022-24435-8Cone-beam CT delta-radiomics to predict genitourinary toxicities and international prostate symptom of prostate cancer patients: a pilot studyRodrigo Delgadillo0Benjamin O. Spieler1Anthony M. Deana2John C. Ford3Deukwoo Kwon4Fei Yang5Matthew T. Studenski6Kyle R. Padgett7Matthew C. Abramowitz8Alan Dal Pra9Radka Stoyanova10Nesrin Dogan11Department of Radiation Oncology, University of Miami Miller School of MedicineDepartment of Radiation Oncology, University of Miami Miller School of MedicineDepartment of Biomedical Engineering, University of MiamiDepartment of Radiation Oncology, University of Miami Miller School of MedicineCenter for Clinical and Translational Sciences, The University of Texas Health Science Center at HoustonDepartment of Radiation Oncology, University of Miami Miller School of MedicineDepartment of Radiation Oncology, University of Miami Miller School of MedicineDepartment of Radiation Oncology, University of Miami Miller School of MedicineDepartment of Radiation Oncology, University of Miami Miller School of MedicineDepartment of Radiation Oncology, University of Miami Miller School of MedicineDepartment of Radiation Oncology, University of Miami Miller School of MedicineDepartment of Radiation Oncology, University of Miami Miller School of MedicineAbstract For prostate cancer (PCa) patients treated with definitive radiotherapy (RT), acute and late RT-related genitourinary (GU) toxicities adversely impact disease-specific quality of life. Early warning of potential RT toxicities can prompt interventions that may prevent or mitigate future adverse events. During intensity modulated RT (IMRT) of PCa, daily cone-beam computed tomography (CBCT) images are used to improve treatment accuracy through image guidance. This work investigated the performance of CBCT-based delta-radiomic features (DRF) models to predict acute and sub-acute International Prostate Symptom Scores (IPSS) and Common Terminology Criteria for Adverse Events (CTCAE) version 5 GU toxicity grades for 50 PCa patients treated with definitive RT. Delta-radiomics models were built using logistic regression, random forest for feature selection, and a 1000 iteration bootstrapping leave one analysis for cross validation. To our knowledge, no prior studies of PCa have used DRF models based on daily CBCT images. AUC of 0.83 for IPSS and greater than 0.7 for CTCAE grades were achieved as early as week 1 of treatment. DRF extracted from CBCT images showed promise for the development of models predictive of RT outcomes. Future studies will include using artificial intelligence and machine learning to expand CBCT sample sizes available for radiomics analysis.https://doi.org/10.1038/s41598-022-24435-8 |
| spellingShingle | Rodrigo Delgadillo Benjamin O. Spieler Anthony M. Deana John C. Ford Deukwoo Kwon Fei Yang Matthew T. Studenski Kyle R. Padgett Matthew C. Abramowitz Alan Dal Pra Radka Stoyanova Nesrin Dogan Cone-beam CT delta-radiomics to predict genitourinary toxicities and international prostate symptom of prostate cancer patients: a pilot study Scientific Reports |
| title | Cone-beam CT delta-radiomics to predict genitourinary toxicities and international prostate symptom of prostate cancer patients: a pilot study |
| title_full | Cone-beam CT delta-radiomics to predict genitourinary toxicities and international prostate symptom of prostate cancer patients: a pilot study |
| title_fullStr | Cone-beam CT delta-radiomics to predict genitourinary toxicities and international prostate symptom of prostate cancer patients: a pilot study |
| title_full_unstemmed | Cone-beam CT delta-radiomics to predict genitourinary toxicities and international prostate symptom of prostate cancer patients: a pilot study |
| title_short | Cone-beam CT delta-radiomics to predict genitourinary toxicities and international prostate symptom of prostate cancer patients: a pilot study |
| title_sort | cone beam ct delta radiomics to predict genitourinary toxicities and international prostate symptom of prostate cancer patients a pilot study |
| url | https://doi.org/10.1038/s41598-022-24435-8 |
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