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Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers

Radiomics is an emerging field in radiology that utilizes advanced statistical data characterizing algorithms to evaluate medical imaging and objectively quantify characteristics of a given disease. Due to morphologic heterogeneity and genetic variation intrinsic to neoplasms, radiomics have the pot...

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Autores principales: Gul, Maryam, Bonjoc, Kimberley-Jane C., Gorlin, David, Wong, Chi Wah, Salem, Amirah, La, Vincent, Filippov, Aleksandr, Chaudhry, Abbas, Imam, Muhammad H., Chaudhry, Ammar A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293690/
https://www.ncbi.nlm.nih.gov/pubmed/34307123
http://dx.doi.org/10.3389/fonc.2021.639326
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author Gul, Maryam
Bonjoc, Kimberley-Jane C.
Gorlin, David
Wong, Chi Wah
Salem, Amirah
La, Vincent
Filippov, Aleksandr
Chaudhry, Abbas
Imam, Muhammad H.
Chaudhry, Ammar A.
author_facet Gul, Maryam
Bonjoc, Kimberley-Jane C.
Gorlin, David
Wong, Chi Wah
Salem, Amirah
La, Vincent
Filippov, Aleksandr
Chaudhry, Abbas
Imam, Muhammad H.
Chaudhry, Ammar A.
author_sort Gul, Maryam
collection PubMed
description Radiomics is an emerging field in radiology that utilizes advanced statistical data characterizing algorithms to evaluate medical imaging and objectively quantify characteristics of a given disease. Due to morphologic heterogeneity and genetic variation intrinsic to neoplasms, radiomics have the potential to provide a unique insight into the underlying tumor and tumor microenvironment. Radiomics has been gaining popularity due to potential applications in disease quantification, predictive modeling, treatment planning, and response assessment – paving way for the advancement of personalized medicine. However, producing a reliable radiomic model requires careful evaluation and construction to be translated into clinical practices that have varying software and/or medical equipment. We aim to review the diagnostic utility of radiomics in otorhinolaryngology, including both cancers of the head and neck as well as the thyroid.
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spelling pubmed-82936902021-07-22 Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers Gul, Maryam Bonjoc, Kimberley-Jane C. Gorlin, David Wong, Chi Wah Salem, Amirah La, Vincent Filippov, Aleksandr Chaudhry, Abbas Imam, Muhammad H. Chaudhry, Ammar A. Front Oncol Oncology Radiomics is an emerging field in radiology that utilizes advanced statistical data characterizing algorithms to evaluate medical imaging and objectively quantify characteristics of a given disease. Due to morphologic heterogeneity and genetic variation intrinsic to neoplasms, radiomics have the potential to provide a unique insight into the underlying tumor and tumor microenvironment. Radiomics has been gaining popularity due to potential applications in disease quantification, predictive modeling, treatment planning, and response assessment – paving way for the advancement of personalized medicine. However, producing a reliable radiomic model requires careful evaluation and construction to be translated into clinical practices that have varying software and/or medical equipment. We aim to review the diagnostic utility of radiomics in otorhinolaryngology, including both cancers of the head and neck as well as the thyroid. Frontiers Media S.A. 2021-07-07 /pmc/articles/PMC8293690/ /pubmed/34307123 http://dx.doi.org/10.3389/fonc.2021.639326 Text en Copyright © 2021 Gul, Bonjoc, Gorlin, Wong, Salem, La, Filippov, Chaudhry, Imam and Chaudhry https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Gul, Maryam
Bonjoc, Kimberley-Jane C.
Gorlin, David
Wong, Chi Wah
Salem, Amirah
La, Vincent
Filippov, Aleksandr
Chaudhry, Abbas
Imam, Muhammad H.
Chaudhry, Ammar A.
Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers
title Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers
title_full Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers
title_fullStr Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers
title_full_unstemmed Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers
title_short Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers
title_sort diagnostic utility of radiomics in thyroid and head and neck cancers
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293690/
https://www.ncbi.nlm.nih.gov/pubmed/34307123
http://dx.doi.org/10.3389/fonc.2021.639326
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