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The role of feature-based radiomics for predicting response and radiation injury after stereotactic radiation therapy for brain metastases: A critical review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO)
INTRODUCTION: differential diagnosis of tumor recurrence and radiation injury after stereotactic radiotherapy (SRT) is challenging. The advances in imaging techniques and feature-based radiomics could aid to discriminate radionecrosis from progression. METHODS: we performed a systematic review of cu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605350/ https://www.ncbi.nlm.nih.gov/pubmed/34800918 http://dx.doi.org/10.1016/j.tranon.2021.101275 |
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author | Salvestrini, Viola Greco, Carlo Guerini, Andrea Emanuele Longo, Silvia Nardone, Valerio Boldrini, Luca Desideri, Isacco De Felice, Francesca |
author_facet | Salvestrini, Viola Greco, Carlo Guerini, Andrea Emanuele Longo, Silvia Nardone, Valerio Boldrini, Luca Desideri, Isacco De Felice, Francesca |
author_sort | Salvestrini, Viola |
collection | PubMed |
description | INTRODUCTION: differential diagnosis of tumor recurrence and radiation injury after stereotactic radiotherapy (SRT) is challenging. The advances in imaging techniques and feature-based radiomics could aid to discriminate radionecrosis from progression. METHODS: we performed a systematic review of current literature, key references were obtained from a PubMed query. Data extraction was performed by 3 researchers and disagreements were resolved with a discussion among the authors. RESULTS: we identified 15 retrospective series, one prospective trial, one critical review and one editorial paper. Radiomics involves a wide range of imaging features referred to necrotic regions, rate of contrast-enhancing area or the measure of edema surrounding the metastases. Features were mainly defined through a multistep extraction/reduction/selection process and a final validation and comparison. CONCLUSIONS: feature-based radiomics has an optimal potential to accurately predict response and radionecrosis after SRT of BM and facilitate differential diagnosis. Further validation studies are eagerly awaited to confirm radiomics reliability. |
format | Online Article Text |
id | pubmed-8605350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Neoplasia Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86053502021-11-26 The role of feature-based radiomics for predicting response and radiation injury after stereotactic radiation therapy for brain metastases: A critical review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO) Salvestrini, Viola Greco, Carlo Guerini, Andrea Emanuele Longo, Silvia Nardone, Valerio Boldrini, Luca Desideri, Isacco De Felice, Francesca Transl Oncol Review INTRODUCTION: differential diagnosis of tumor recurrence and radiation injury after stereotactic radiotherapy (SRT) is challenging. The advances in imaging techniques and feature-based radiomics could aid to discriminate radionecrosis from progression. METHODS: we performed a systematic review of current literature, key references were obtained from a PubMed query. Data extraction was performed by 3 researchers and disagreements were resolved with a discussion among the authors. RESULTS: we identified 15 retrospective series, one prospective trial, one critical review and one editorial paper. Radiomics involves a wide range of imaging features referred to necrotic regions, rate of contrast-enhancing area or the measure of edema surrounding the metastases. Features were mainly defined through a multistep extraction/reduction/selection process and a final validation and comparison. CONCLUSIONS: feature-based radiomics has an optimal potential to accurately predict response and radionecrosis after SRT of BM and facilitate differential diagnosis. Further validation studies are eagerly awaited to confirm radiomics reliability. Neoplasia Press 2021-11-17 /pmc/articles/PMC8605350/ /pubmed/34800918 http://dx.doi.org/10.1016/j.tranon.2021.101275 Text en © 2021 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Salvestrini, Viola Greco, Carlo Guerini, Andrea Emanuele Longo, Silvia Nardone, Valerio Boldrini, Luca Desideri, Isacco De Felice, Francesca The role of feature-based radiomics for predicting response and radiation injury after stereotactic radiation therapy for brain metastases: A critical review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO) |
title | The role of feature-based radiomics for predicting response and radiation injury after stereotactic radiation therapy for brain metastases: A critical review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO) |
title_full | The role of feature-based radiomics for predicting response and radiation injury after stereotactic radiation therapy for brain metastases: A critical review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO) |
title_fullStr | The role of feature-based radiomics for predicting response and radiation injury after stereotactic radiation therapy for brain metastases: A critical review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO) |
title_full_unstemmed | The role of feature-based radiomics for predicting response and radiation injury after stereotactic radiation therapy for brain metastases: A critical review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO) |
title_short | The role of feature-based radiomics for predicting response and radiation injury after stereotactic radiation therapy for brain metastases: A critical review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO) |
title_sort | role of feature-based radiomics for predicting response and radiation injury after stereotactic radiation therapy for brain metastases: a critical review by the young group of the italian association of radiotherapy and clinical oncology (yairo) |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605350/ https://www.ncbi.nlm.nih.gov/pubmed/34800918 http://dx.doi.org/10.1016/j.tranon.2021.101275 |
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