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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...

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Autores principales: Salvestrini, Viola, Greco, Carlo, Guerini, Andrea Emanuele, Longo, Silvia, Nardone, Valerio, Boldrini, Luca, Desideri, Isacco, De Felice, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2021
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.
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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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