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:	Viola Salvestrini, Carlo Greco, Andrea Emanuele Guerini, Silvia Longo, Valerio Nardone, Luca Boldrini, Isacco Desideri, Francesca De Felice
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/c5bdaa8f80364abe932ff15d4777aaf2
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spelling	oai:doaj.org-article:c5bdaa8f80364abe932ff15d4777aaf22021-11-20T05:05:16ZThe 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)1936-523310.1016/j.tranon.2021.101275https://doaj.org/article/c5bdaa8f80364abe932ff15d4777aaf22022-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1936523321002667https://doaj.org/toc/1936-5233Introduction: 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.Viola SalvestriniCarlo GrecoAndrea Emanuele GueriniSilvia LongoValerio NardoneLuca BoldriniIsacco DesideriFrancesca De FeliceElsevierarticleNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENTranslational Oncology, Vol 15, Iss 1, Pp 101275- (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Viola Salvestrini Carlo Greco Andrea Emanuele Guerini Silvia Longo Valerio Nardone Luca Boldrini Isacco Desideri Francesca De Felice 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)
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	article
author	Viola Salvestrini Carlo Greco Andrea Emanuele Guerini Silvia Longo Valerio Nardone Luca Boldrini Isacco Desideri Francesca De Felice
author_facet	Viola Salvestrini Carlo Greco Andrea Emanuele Guerini Silvia Longo Valerio Nardone Luca Boldrini Isacco Desideri Francesca De Felice
author_sort	Viola Salvestrini
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_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_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_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)
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/c5bdaa8f80364abe932ff15d4777aaf2
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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)

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