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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).
Salvestrini, Viola; Greco, Carlo; Guerini, Andrea Emanuele; Longo, Silvia; Nardone, Valerio; Boldrini, Luca; Desideri, Isacco; De Felice, Francesca.
Afiliación
  • Salvestrini V; Radiation Oncology, Azienda Ospedaliero-Universitaria Careggi, University of Florence, Florence, Italy.
  • Greco C; Radiation Oncology, Campus Bio-Medico University of Rome, Rome, Italy. Electronic address: c.greco@unicampus.it.
  • Guerini AE; Radiation Oncology Department, Università degli Studi di Brescia and ASST Spedali Civili, Piazzale Spedali Civili 1, Brescia 25123, Italy. Electronic address: a.e.guerini@gmail.com.
  • Longo S; Radiation Oncology, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Largo Agostino Gemelli 8, Rome 00168, Italy. Electronic address: silvia.longo@guest.policlinicogemelli.it.
  • Nardone V; Section of Radiology and Radiotherapy, Department of Precision Medicine, University of Campania "L. Vanvitelli", Naples 80138, Italy. Electronic address: v.nardone@hotmail.it.
  • Boldrini L; Radiation Oncology, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Largo Agostino Gemelli 8, Rome 00168, Italy. Electronic address: luca.boldrini@policlinicogemelli.it.
  • Desideri I; Radiation Oncology, Azienda Ospedaliero-Universitaria Careggi, University of Florence, Florence, Italy. Electronic address: isacco.desideri@unifi.it.
  • De Felice F; Radiation Oncology, Policlinico Umberto I "Sapienza" University of Rome, Viale Regina Elena 326, Rome 00161, Italy. Electronic address: francesca.defelice@uniroma1.it.
Transl Oncol ; 15(1): 101275, 2022 Jan.
Article en En | MEDLINE | ID: mdl-34800918
ABSTRACT

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.

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Transl Oncol Año: 2022 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Transl Oncol Año: 2022 Tipo del documento: Article País de afiliación: Italia