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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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Autores principales: Ferro, Matteo, Musi, Gennaro, Marchioni, Michele, Maggi, Martina, Veccia, Alessandro, Del Giudice, Francesco, Barone, Biagio, Crocetto, Felice, Lasorsa, Francesco, Antonelli, Alessandro, Schips, Luigi, Autorino, Riccardo, Busetto, Gian Maria, Terracciano, Daniela, Lucarelli, Giuseppe, Tataru, Octavian Sabin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003020/
https://www.ncbi.nlm.nih.gov/pubmed/36902045
http://dx.doi.org/10.3390/ijms24054615
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author Ferro, Matteo
Musi, Gennaro
Marchioni, Michele
Maggi, Martina
Veccia, Alessandro
Del Giudice, Francesco
Barone, Biagio
Crocetto, Felice
Lasorsa, Francesco
Antonelli, Alessandro
Schips, Luigi
Autorino, Riccardo
Busetto, Gian Maria
Terracciano, Daniela
Lucarelli, Giuseppe
Tataru, Octavian Sabin
author_facet Ferro, Matteo
Musi, Gennaro
Marchioni, Michele
Maggi, Martina
Veccia, Alessandro
Del Giudice, Francesco
Barone, Biagio
Crocetto, Felice
Lasorsa, Francesco
Antonelli, Alessandro
Schips, Luigi
Autorino, Riccardo
Busetto, Gian Maria
Terracciano, Daniela
Lucarelli, Giuseppe
Tataru, Octavian Sabin
author_sort Ferro, Matteo
collection PubMed
description 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, imaging techniques, and genomics advancements have the ability to help clinicians set the stratification risk, treatment selection, follow-up strategy, and prognosis of the disease. The combination of radiomics features and genomics data has achieved good results but is currently limited by the retrospective design and the small number of patients included in clinical trials. The road ahead for radiogenomics is open to new, well-designed prospective studies, with large cohorts of patients required to validate previously obtained results and enter clinical practice.
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spelling pubmed-100030202023-03-11 Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects Ferro, Matteo Musi, Gennaro Marchioni, Michele Maggi, Martina Veccia, Alessandro Del Giudice, Francesco Barone, Biagio Crocetto, Felice Lasorsa, Francesco Antonelli, Alessandro Schips, Luigi Autorino, Riccardo Busetto, Gian Maria Terracciano, Daniela Lucarelli, Giuseppe Tataru, Octavian Sabin Int J Mol Sci Review 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, imaging techniques, and genomics advancements have the ability to help clinicians set the stratification risk, treatment selection, follow-up strategy, and prognosis of the disease. The combination of radiomics features and genomics data has achieved good results but is currently limited by the retrospective design and the small number of patients included in clinical trials. The road ahead for radiogenomics is open to new, well-designed prospective studies, with large cohorts of patients required to validate previously obtained results and enter clinical practice. MDPI 2023-02-27 /pmc/articles/PMC10003020/ /pubmed/36902045 http://dx.doi.org/10.3390/ijms24054615 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ferro, Matteo
Musi, Gennaro
Marchioni, Michele
Maggi, Martina
Veccia, Alessandro
Del Giudice, Francesco
Barone, Biagio
Crocetto, Felice
Lasorsa, Francesco
Antonelli, Alessandro
Schips, Luigi
Autorino, Riccardo
Busetto, Gian Maria
Terracciano, Daniela
Lucarelli, Giuseppe
Tataru, Octavian Sabin
Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects
title Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects
title_full Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects
title_fullStr Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects
title_full_unstemmed Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects
title_short Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects
title_sort radiogenomics in renal cancer management—current evidence and future prospects
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003020/
https://www.ncbi.nlm.nih.gov/pubmed/36902045
http://dx.doi.org/10.3390/ijms24054615
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