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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10003020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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