Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects

Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects

Renal cancer management is challenging from diagnosis to treatment and follow-up. In cases of small renal masses and cystic lesions the differential diagnosis of benign or malignant tissues has potential pitfalls when imaging or even renal biopsy is applied. The recent artificial intelligence, imagi...

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Bibliographic Details
Main Authors: Matteo Ferro, Gennaro Musi, Michele Marchioni, Martina Maggi, Alessandro Veccia, Francesco Del Giudice, Biagio Barone, Felice Crocetto, Francesco Lasorsa, Alessandro Antonelli, Luigi Schips, Riccardo Autorino, Gian Maria Busetto, Daniela Terracciano, Giuseppe Lucarelli, Octavian Sabin Tataru
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:International Journal of Molecular Sciences
Subjects:
renal cancer
radiomics
radiogenomics
genomics
artificial intelligence
machine learning
Online Access:https://www.mdpi.com/1422-0067/24/5/4615

Internet

https://www.mdpi.com/1422-0067/24/5/4615

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