{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:59:53Z","timestamp":1760147993136,"version":"build-2065373602"},"reference-count":24,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,3,17]],"date-time":"2023-03-17T00:00:00Z","timestamp":1679011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>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\u20132021. 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\u2019s exact test showed a p-value of 0.13 for group A and 1.0 for Group B. The difference between the proportion test showed a p-value of 0.009149 (IC 0.1\u20130.63). The proportion of the correct classification showed a p-value of 0.645 (IC 0.55\u20130.87) for A, and 0.275 (IC 0.11\u20130.43) 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, n = 60, the results were: Accuracy: 0.7 and Precision: 0.65. Using n = 30 randomly chosen, the best result obtained was Accuracy: 0.73 and Precision: 0.83, with a p-value: 0.025 for Fisher\u2019s 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.<\/jats:p>","DOI":"10.3390\/jimaging9030071","type":"journal-article","created":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T05:46:42Z","timestamp":1679291202000},"page":"71","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["CT Rendering and Radiomic Analysis in Post-Chemotherapy Retroperitoneal Lymph Node Dissection for Testicular Cancer to Anticipate Difficulties for Young Surgeons"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9558-8086","authenticated-orcid":false,"given":"Anna","family":"Scavuzzo","sequence":"first","affiliation":[{"name":"Instituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pavel","family":"Figueroa-Rodriguez","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Cancerologia, Department of Biomedical Engineering, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7189-1731","authenticated-orcid":false,"given":"Alessandro","family":"Stefano","sequence":"additional","affiliation":[{"name":"Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), 90015 Cefal\u00f9, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nallely","family":"Jimenez Guedulain","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Muruato Araiza","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jose de Jesus","family":"Cendejas Gomez","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alejandro","family":"Quiroz Compea\u00e1n","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimas O.","family":"Victorio Vargas","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miguel A.","family":"Jim\u00e9nez-R\u00edos","sequence":"additional","affiliation":[{"name":"Instituto Nacional de Cancerologia, Department of Urology, Universidad Autonoma de Mexico-UNAM, Mexico City 14080, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"e12390","DOI":"10.1097\/MD.0000000000012390","article-title":"Recent global trends in testicular cancer incidence and mortality","volume":"97","author":"Park","year":"2018","journal-title":"Medicine"},{"key":"ref_2","unstructured":"Laguna, M., Albers, P., and Algaba, F. 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