Cargando…
Application of Radiomics for Personalized Treatment of Cancer Patients
Radiomics is a novel concept that relies on obtaining image data from examinations such as computed tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography (PET). With the appropriate algorithm, the extracted results have broad applicability and potential for a massive pos...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941598/ https://www.ncbi.nlm.nih.gov/pubmed/31920394 http://dx.doi.org/10.2147/CMAR.S232473 |
_version_ | 1783484570787643392 |
---|---|
author | Meng, Yiming Sun, Jing Qu, Na Zhang, Guirong Yu, Tao Piao, Haozhe |
author_facet | Meng, Yiming Sun, Jing Qu, Na Zhang, Guirong Yu, Tao Piao, Haozhe |
author_sort | Meng, Yiming |
collection | PubMed |
description | Radiomics is a novel concept that relies on obtaining image data from examinations such as computed tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography (PET). With the appropriate algorithm, the extracted results have broad applicability and potential for a massive positive impact in radiology. For example, clinicians can verify treatment efficiency, predict the location of tumor metastasis, correlate results with a histopathological examination, or more accurately define the type of cancer. Combining radiomics with other testing techniques allows every patient to have a personalized treatment plan that is essential for advanced examination and treatment. This article explains the process of radiomics, including data collection mechanisms, combined use with genomics, and artificial intelligence and immunology techniques, which may solve many of the challenges faced by doctors in diagnosing and treating their patients. |
format | Online Article Text |
id | pubmed-6941598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-69415982020-01-09 Application of Radiomics for Personalized Treatment of Cancer Patients Meng, Yiming Sun, Jing Qu, Na Zhang, Guirong Yu, Tao Piao, Haozhe Cancer Manag Res Review Radiomics is a novel concept that relies on obtaining image data from examinations such as computed tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography (PET). With the appropriate algorithm, the extracted results have broad applicability and potential for a massive positive impact in radiology. For example, clinicians can verify treatment efficiency, predict the location of tumor metastasis, correlate results with a histopathological examination, or more accurately define the type of cancer. Combining radiomics with other testing techniques allows every patient to have a personalized treatment plan that is essential for advanced examination and treatment. This article explains the process of radiomics, including data collection mechanisms, combined use with genomics, and artificial intelligence and immunology techniques, which may solve many of the challenges faced by doctors in diagnosing and treating their patients. Dove 2019-12-30 /pmc/articles/PMC6941598/ /pubmed/31920394 http://dx.doi.org/10.2147/CMAR.S232473 Text en © 2019 Meng et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Review Meng, Yiming Sun, Jing Qu, Na Zhang, Guirong Yu, Tao Piao, Haozhe Application of Radiomics for Personalized Treatment of Cancer Patients |
title | Application of Radiomics for Personalized Treatment of Cancer Patients |
title_full | Application of Radiomics for Personalized Treatment of Cancer Patients |
title_fullStr | Application of Radiomics for Personalized Treatment of Cancer Patients |
title_full_unstemmed | Application of Radiomics for Personalized Treatment of Cancer Patients |
title_short | Application of Radiomics for Personalized Treatment of Cancer Patients |
title_sort | application of radiomics for personalized treatment of cancer patients |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941598/ https://www.ncbi.nlm.nih.gov/pubmed/31920394 http://dx.doi.org/10.2147/CMAR.S232473 |
work_keys_str_mv | AT mengyiming applicationofradiomicsforpersonalizedtreatmentofcancerpatients AT sunjing applicationofradiomicsforpersonalizedtreatmentofcancerpatients AT quna applicationofradiomicsforpersonalizedtreatmentofcancerpatients AT zhangguirong applicationofradiomicsforpersonalizedtreatmentofcancerpatients AT yutao applicationofradiomicsforpersonalizedtreatmentofcancerpatients AT piaohaozhe applicationofradiomicsforpersonalizedtreatmentofcancerpatients |