CT Rendering and Radiomic Analysis in Post-Chemotherapy Retroperitoneal Lymph Node Dissection for Testicular Cancer to Anticipate Difficulties for Young Surgeons
Post-chemotherapy retroperitoneal lymph node dissection (PC-RPLND) in non-seminomatous germ-cell tumor (NSTGCTs) is a complex procedure. We evaluated whether 3D computed tomography (CT) rendering and their radiomic analysis help predict resectability by junior surgeons. The ambispective analysis was...
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| Format: | Article |
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MDPI AG
2023-03-01
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| Series: | Journal of Imaging |
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| Online Access: | https://www.mdpi.com/2313-433X/9/3/71 |
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| author | Anna Scavuzzo Pavel Figueroa-Rodriguez Alessandro Stefano Nallely Jimenez Guedulain Sebastian Muruato Araiza Jose de Jesus Cendejas Gomez Alejandro Quiroz Compeaán Dimas O. Victorio Vargas Miguel A. Jiménez-Ríos |
| author_facet | Anna Scavuzzo Pavel Figueroa-Rodriguez Alessandro Stefano Nallely Jimenez Guedulain Sebastian Muruato Araiza Jose de Jesus Cendejas Gomez Alejandro Quiroz Compeaán Dimas O. Victorio Vargas Miguel A. Jiménez-Ríos |
| author_sort | Anna Scavuzzo |
| collection | DOAJ |
| description | Post-chemotherapy retroperitoneal lymph node dissection (PC-RPLND) in non-seminomatous germ-cell tumor (NSTGCTs) is a complex procedure. We evaluated whether 3D computed tomography (CT) rendering and their radiomic analysis help predict resectability by junior surgeons. The ambispective analysis was performed between 2016–2021. A prospective group (A) of 30 patients undergoing CT was segmented using the 3D Slicer software while a retrospective group (B) of 30 patients was evaluated with conventional CT (without 3D reconstruction). CatFisher’s exact test showed a <i>p</i>-value of 0.13 for group A and 1.0 for Group B. The difference between the proportion test showed a <i>p</i>-value of 0.009149 (IC 0.1–0.63). The proportion of the correct classification showed a <i>p</i>-value of 0.645 (IC 0.55–0.87) for A, and 0.275 (IC 0.11–0.43) for Group B. Furthermore, 13 shape features were extracted: elongation, flatness, volume, sphericity, and surface area, among others. Performing a logistic regression with the entire dataset, <i>n</i> = 60, the results were: Accuracy: 0.7 and Precision: 0.65. Using <i>n</i> = 30 randomly chosen, the best result obtained was Accuracy: 0.73 and Precision: 0.83, with a <i>p</i>-value: 0.025 for Fisher’s exact test. In conclusion, the results showed a significant difference in the prediction of resectability with conventional CT versus 3D reconstruction by junior surgeons versus experienced surgeons. Radiomic features used to elaborate an artificial intelligence model improve the prediction of resectability. The proposed model could be of great support in a university hospital, allowing it to plan the surgery and to anticipate complications. |
| first_indexed | 2024-03-11T06:21:31Z |
| format | Article |
| id | doaj.art-c6e47dba04f94528afe87a1ce45a77a1 |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-11T06:21:31Z |
| publishDate | 2023-03-01 |
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| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-c6e47dba04f94528afe87a1ce45a77a12023-11-17T11:55:18ZengMDPI AGJournal of Imaging2313-433X2023-03-01937110.3390/jimaging9030071CT Rendering and Radiomic Analysis in Post-Chemotherapy Retroperitoneal Lymph Node Dissection for Testicular Cancer to Anticipate Difficulties for Young SurgeonsAnna Scavuzzo0Pavel Figueroa-Rodriguez1Alessandro Stefano2Nallely Jimenez Guedulain3Sebastian Muruato Araiza4Jose de Jesus Cendejas Gomez5Alejandro Quiroz Compeaán6Dimas O. Victorio Vargas7Miguel A. Jiménez-Ríos8Instituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, MexicoInstituto Nacional de Cancerologia, Department of Biomedical Engineering, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, MexicoInstitute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), 90015 Cefalù, ItalyInstituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, MexicoInstituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, MexicoInstituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, MexicoInstituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, MexicoInstituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, MexicoInstituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, MexicoPost-chemotherapy retroperitoneal lymph node dissection (PC-RPLND) in non-seminomatous germ-cell tumor (NSTGCTs) is a complex procedure. We evaluated whether 3D computed tomography (CT) rendering and their radiomic analysis help predict resectability by junior surgeons. The ambispective analysis was performed between 2016–2021. A prospective group (A) of 30 patients undergoing CT was segmented using the 3D Slicer software while a retrospective group (B) of 30 patients was evaluated with conventional CT (without 3D reconstruction). CatFisher’s exact test showed a <i>p</i>-value of 0.13 for group A and 1.0 for Group B. The difference between the proportion test showed a <i>p</i>-value of 0.009149 (IC 0.1–0.63). The proportion of the correct classification showed a <i>p</i>-value of 0.645 (IC 0.55–0.87) for A, and 0.275 (IC 0.11–0.43) for Group B. Furthermore, 13 shape features were extracted: elongation, flatness, volume, sphericity, and surface area, among others. Performing a logistic regression with the entire dataset, <i>n</i> = 60, the results were: Accuracy: 0.7 and Precision: 0.65. Using <i>n</i> = 30 randomly chosen, the best result obtained was Accuracy: 0.73 and Precision: 0.83, with a <i>p</i>-value: 0.025 for Fisher’s exact test. In conclusion, the results showed a significant difference in the prediction of resectability with conventional CT versus 3D reconstruction by junior surgeons versus experienced surgeons. Radiomic features used to elaborate an artificial intelligence model improve the prediction of resectability. The proposed model could be of great support in a university hospital, allowing it to plan the surgery and to anticipate complications.https://www.mdpi.com/2313-433X/9/3/71testicular cancerradiomicsretroperitoneal surgery |
| spellingShingle | Anna Scavuzzo Pavel Figueroa-Rodriguez Alessandro Stefano Nallely Jimenez Guedulain Sebastian Muruato Araiza Jose de Jesus Cendejas Gomez Alejandro Quiroz Compeaán Dimas O. Victorio Vargas Miguel A. Jiménez-Ríos CT Rendering and Radiomic Analysis in Post-Chemotherapy Retroperitoneal Lymph Node Dissection for Testicular Cancer to Anticipate Difficulties for Young Surgeons Journal of Imaging testicular cancer radiomics retroperitoneal surgery |
| title | CT Rendering and Radiomic Analysis in Post-Chemotherapy Retroperitoneal Lymph Node Dissection for Testicular Cancer to Anticipate Difficulties for Young Surgeons |
| title_full | CT Rendering and Radiomic Analysis in Post-Chemotherapy Retroperitoneal Lymph Node Dissection for Testicular Cancer to Anticipate Difficulties for Young Surgeons |
| title_fullStr | CT Rendering and Radiomic Analysis in Post-Chemotherapy Retroperitoneal Lymph Node Dissection for Testicular Cancer to Anticipate Difficulties for Young Surgeons |
| title_full_unstemmed | CT Rendering and Radiomic Analysis in Post-Chemotherapy Retroperitoneal Lymph Node Dissection for Testicular Cancer to Anticipate Difficulties for Young Surgeons |
| title_short | CT Rendering and Radiomic Analysis in Post-Chemotherapy Retroperitoneal Lymph Node Dissection for Testicular Cancer to Anticipate Difficulties for Young Surgeons |
| title_sort | ct rendering and radiomic analysis in post chemotherapy retroperitoneal lymph node dissection for testicular cancer to anticipate difficulties for young surgeons |
| topic | testicular cancer radiomics retroperitoneal surgery |
| url | https://www.mdpi.com/2313-433X/9/3/71 |
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