Machine Learning Integrating (99m)Tc Sestamibi SPECT/CT and Radiomics Data Achieves Optimal Characterization of Renal Oncocytic Tumors

SIMPLE SUMMARY: This study focuses on the integration of (99m)Tc Sestamibi SPECT/CT and radiomics analysis to characterize benign renal oncocytic neoplasia. Our research includes renal tumors with histopathological analysis (conducted by independent pathologists) serving as the ground truth. Radiomi...

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Detalles Bibliográficos
Autores principales: Klontzas, Michail E., Koltsakis, Emmanouil, Kalarakis, Georgios, Trpkov, Kiril, Papathomas, Thomas, Karantanas, Apostolos H., Tzortzakakis, Antonios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377512/
https://www.ncbi.nlm.nih.gov/pubmed/37509214
http://dx.doi.org/10.3390/cancers15143553

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377512/
https://www.ncbi.nlm.nih.gov/pubmed/37509214
http://dx.doi.org/10.3390/cancers15143553

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