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Radiomics in prostate cancer: an up-to-date review
Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male population. The diagnosis, the identification of aggressive disease, and the post-treatment follow-up needs a more comprehensive and holistic approach. Radiomics is the extraction and interpretation of images phenotypes...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260602/ https://www.ncbi.nlm.nih.gov/pubmed/35814914 http://dx.doi.org/10.1177/17562872221109020 |
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author | Ferro, Matteo de Cobelli, Ottavio Musi, Gennaro del Giudice, Francesco Carrieri, Giuseppe Busetto, Gian Maria Falagario, Ugo Giovanni Sciarra, Alessandro Maggi, Martina Crocetto, Felice Barone, Biagio Caputo, Vincenzo Francesco Marchioni, Michele Lucarelli, Giuseppe Imbimbo, Ciro Mistretta, Francesco Alessandro Luzzago, Stefano Vartolomei, Mihai Dorin Cormio, Luigi Autorino, Riccardo Tătaru, Octavian Sabin |
author_facet | Ferro, Matteo de Cobelli, Ottavio Musi, Gennaro del Giudice, Francesco Carrieri, Giuseppe Busetto, Gian Maria Falagario, Ugo Giovanni Sciarra, Alessandro Maggi, Martina Crocetto, Felice Barone, Biagio Caputo, Vincenzo Francesco Marchioni, Michele Lucarelli, Giuseppe Imbimbo, Ciro Mistretta, Francesco Alessandro Luzzago, Stefano Vartolomei, Mihai Dorin Cormio, Luigi Autorino, Riccardo Tătaru, Octavian Sabin |
author_sort | Ferro, Matteo |
collection | PubMed |
description | Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male population. The diagnosis, the identification of aggressive disease, and the post-treatment follow-up needs a more comprehensive and holistic approach. Radiomics is the extraction and interpretation of images phenotypes in a quantitative manner. Radiomics may give an advantage through advancements in imaging modalities and through the potential power of artificial intelligence techniques by translating those features into clinical outcome prediction. This article gives an overview on the current evidence of methodology and reviews the available literature on radiomics in PCa patients, highlighting its potential for personalized treatment and future applications. |
format | Online Article Text |
id | pubmed-9260602 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-92606022022-07-08 Radiomics in prostate cancer: an up-to-date review Ferro, Matteo de Cobelli, Ottavio Musi, Gennaro del Giudice, Francesco Carrieri, Giuseppe Busetto, Gian Maria Falagario, Ugo Giovanni Sciarra, Alessandro Maggi, Martina Crocetto, Felice Barone, Biagio Caputo, Vincenzo Francesco Marchioni, Michele Lucarelli, Giuseppe Imbimbo, Ciro Mistretta, Francesco Alessandro Luzzago, Stefano Vartolomei, Mihai Dorin Cormio, Luigi Autorino, Riccardo Tătaru, Octavian Sabin Ther Adv Urol Review Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male population. The diagnosis, the identification of aggressive disease, and the post-treatment follow-up needs a more comprehensive and holistic approach. Radiomics is the extraction and interpretation of images phenotypes in a quantitative manner. Radiomics may give an advantage through advancements in imaging modalities and through the potential power of artificial intelligence techniques by translating those features into clinical outcome prediction. This article gives an overview on the current evidence of methodology and reviews the available literature on radiomics in PCa patients, highlighting its potential for personalized treatment and future applications. SAGE Publications 2022-07-04 /pmc/articles/PMC9260602/ /pubmed/35814914 http://dx.doi.org/10.1177/17562872221109020 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Review Ferro, Matteo de Cobelli, Ottavio Musi, Gennaro del Giudice, Francesco Carrieri, Giuseppe Busetto, Gian Maria Falagario, Ugo Giovanni Sciarra, Alessandro Maggi, Martina Crocetto, Felice Barone, Biagio Caputo, Vincenzo Francesco Marchioni, Michele Lucarelli, Giuseppe Imbimbo, Ciro Mistretta, Francesco Alessandro Luzzago, Stefano Vartolomei, Mihai Dorin Cormio, Luigi Autorino, Riccardo Tătaru, Octavian Sabin Radiomics in prostate cancer: an up-to-date review |
title | Radiomics in prostate cancer: an up-to-date review |
title_full | Radiomics in prostate cancer: an up-to-date review |
title_fullStr | Radiomics in prostate cancer: an up-to-date review |
title_full_unstemmed | Radiomics in prostate cancer: an up-to-date review |
title_short | Radiomics in prostate cancer: an up-to-date review |
title_sort | radiomics in prostate cancer: an up-to-date review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260602/ https://www.ncbi.nlm.nih.gov/pubmed/35814914 http://dx.doi.org/10.1177/17562872221109020 |
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