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The progress of radiomics in thyroid nodules
Due to the development of Artificial Intelligence (AI), Machine Learning (ML), and the improvement of medical imaging equipment, radiomics has become a popular research in recent years. Radiomics can obtain various quantitative features from medical images, highlighting the invisible image traits an...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029726/ https://www.ncbi.nlm.nih.gov/pubmed/36959790 http://dx.doi.org/10.3389/fonc.2023.1109319 |
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author | Gao, XiaoFan Ran, Xuan Ding, Wei |
author_facet | Gao, XiaoFan Ran, Xuan Ding, Wei |
author_sort | Gao, XiaoFan |
collection | PubMed |
description | Due to the development of Artificial Intelligence (AI), Machine Learning (ML), and the improvement of medical imaging equipment, radiomics has become a popular research in recent years. Radiomics can obtain various quantitative features from medical images, highlighting the invisible image traits and significantly enhancing the ability of medical imaging identification and prediction. The literature indicates that radiomics has a high potential in identifying and predicting thyroid nodules. So in this article, we explain the development, definition, and workflow of radiomics. And then, we summarize the applications of various imaging techniques in identifying benign and malignant thyroid nodules, predicting invasiveness and metastasis of thyroid lymph nodes, forecasting the prognosis of thyroid malignancies, and some new advances in molecular level and deep learning. The shortcomings of this technique are also summarized, and future development prospects are provided. |
format | Online Article Text |
id | pubmed-10029726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100297262023-03-22 The progress of radiomics in thyroid nodules Gao, XiaoFan Ran, Xuan Ding, Wei Front Oncol Oncology Due to the development of Artificial Intelligence (AI), Machine Learning (ML), and the improvement of medical imaging equipment, radiomics has become a popular research in recent years. Radiomics can obtain various quantitative features from medical images, highlighting the invisible image traits and significantly enhancing the ability of medical imaging identification and prediction. The literature indicates that radiomics has a high potential in identifying and predicting thyroid nodules. So in this article, we explain the development, definition, and workflow of radiomics. And then, we summarize the applications of various imaging techniques in identifying benign and malignant thyroid nodules, predicting invasiveness and metastasis of thyroid lymph nodes, forecasting the prognosis of thyroid malignancies, and some new advances in molecular level and deep learning. The shortcomings of this technique are also summarized, and future development prospects are provided. Frontiers Media S.A. 2023-03-07 /pmc/articles/PMC10029726/ /pubmed/36959790 http://dx.doi.org/10.3389/fonc.2023.1109319 Text en Copyright © 2023 Gao, Ran and Ding 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 Gao, XiaoFan Ran, Xuan Ding, Wei The progress of radiomics in thyroid nodules |
title | The progress of radiomics in thyroid nodules |
title_full | The progress of radiomics in thyroid nodules |
title_fullStr | The progress of radiomics in thyroid nodules |
title_full_unstemmed | The progress of radiomics in thyroid nodules |
title_short | The progress of radiomics in thyroid nodules |
title_sort | progress of radiomics in thyroid nodules |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029726/ https://www.ncbi.nlm.nih.gov/pubmed/36959790 http://dx.doi.org/10.3389/fonc.2023.1109319 |
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