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

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

The increasing evidence of oncocytic renal tumors positive in <sup>99m</sup>Tc Sestamibi Single Photon Emission Tomography/Computed Tomography (SPECT/CT) examination calls for the development of diagnostic tools to differentiate these tumors from more aggressive forms. This study combine...

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Bibliographic Details
Main Authors: Michail E. Klontzas, Emmanouil Koltsakis, Georgios Kalarakis, Kiril Trpkov, Thomas Papathomas, Apostolos H. Karantanas, Antonios Tzortzakakis
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Cancers
Subjects:
<sup>99m</sup>Tc Sestamibi SPECT/CT
artificial intelligence
machine learning
radiomics
renal cell carcinoma
renal oncocytoma
Online Access:https://www.mdpi.com/2072-6694/15/14/3553

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