Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies
Prostate cancer (PCa) is one of the most frequently diagnosed malignancies of men in the world. Due to a variety of treatment options in different risk groups, proper diagnostic and risk stratification is pivotal in treatment of PCa. The development of precise medical imaging procedures simultaneous...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315055/ https://www.ncbi.nlm.nih.gov/pubmed/34335978 http://dx.doi.org/10.7150/thno.61207 |
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author | Spohn, Simon K.B. Bettermann, Alisa S. Bamberg, Fabian Benndorf, Matthias Mix, Michael Nicolay, Nils H. Fechter, Tobias Hölscher, Tobias Grosu, Radu Chiti, Arturo Grosu, Anca L. Zamboglou, Constantinos |
author_facet | Spohn, Simon K.B. Bettermann, Alisa S. Bamberg, Fabian Benndorf, Matthias Mix, Michael Nicolay, Nils H. Fechter, Tobias Hölscher, Tobias Grosu, Radu Chiti, Arturo Grosu, Anca L. Zamboglou, Constantinos |
author_sort | Spohn, Simon K.B. |
collection | PubMed |
description | Prostate cancer (PCa) is one of the most frequently diagnosed malignancies of men in the world. Due to a variety of treatment options in different risk groups, proper diagnostic and risk stratification is pivotal in treatment of PCa. The development of precise medical imaging procedures simultaneously to improvements in big data analysis has led to the establishment of radiomics - a computer-based method of extracting and analyzing image features quantitatively. This approach bears the potential to assess and improve PCa detection, tissue characterization and clinical outcome prediction. This article gives an overview on the current aspects of methodology and systematically reviews available literature on radiomics in PCa patients, showing its potential for personalized therapy approaches. The qualitative synthesis includes all imaging modalities and focuses on validated studies, putting forward future directions. |
format | Online Article Text |
id | pubmed-8315055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-83150552021-07-30 Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies Spohn, Simon K.B. Bettermann, Alisa S. Bamberg, Fabian Benndorf, Matthias Mix, Michael Nicolay, Nils H. Fechter, Tobias Hölscher, Tobias Grosu, Radu Chiti, Arturo Grosu, Anca L. Zamboglou, Constantinos Theranostics Review Prostate cancer (PCa) is one of the most frequently diagnosed malignancies of men in the world. Due to a variety of treatment options in different risk groups, proper diagnostic and risk stratification is pivotal in treatment of PCa. The development of precise medical imaging procedures simultaneously to improvements in big data analysis has led to the establishment of radiomics - a computer-based method of extracting and analyzing image features quantitatively. This approach bears the potential to assess and improve PCa detection, tissue characterization and clinical outcome prediction. This article gives an overview on the current aspects of methodology and systematically reviews available literature on radiomics in PCa patients, showing its potential for personalized therapy approaches. The qualitative synthesis includes all imaging modalities and focuses on validated studies, putting forward future directions. Ivyspring International Publisher 2021-07-06 /pmc/articles/PMC8315055/ /pubmed/34335978 http://dx.doi.org/10.7150/thno.61207 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Review Spohn, Simon K.B. Bettermann, Alisa S. Bamberg, Fabian Benndorf, Matthias Mix, Michael Nicolay, Nils H. Fechter, Tobias Hölscher, Tobias Grosu, Radu Chiti, Arturo Grosu, Anca L. Zamboglou, Constantinos Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies |
title | Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies |
title_full | Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies |
title_fullStr | Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies |
title_full_unstemmed | Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies |
title_short | Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies |
title_sort | radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315055/ https://www.ncbi.nlm.nih.gov/pubmed/34335978 http://dx.doi.org/10.7150/thno.61207 |
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