Journal article

A systematic review and meta-analysis of the prognostic value of radiomics based models in non-small cell lung cancer treated with curative radiotherapy

Gargi Kothari, James Korte, Eric J Lehrer, Nicholas G Zaorsky, Smaro Lazarakis, Tomas Kron, Nicholas Hardcastle, Shankar Siva

RADIOTHERAPY AND ONCOLOGY | ELSEVIER IRELAND LTD | Published : 2021

Abstract

BACKGROUND AND PURPOSE: Radiomics allows extraction of quantifiable features from imaging. This study performs a systematic review and meta-analysis of the performance of radiomics based prognostic models in non-small cell lung cancer (NSCLC). MATERIALS AND METHODS: A literature review was performed following PRISMA guidelines. Medline, EMBASE and Cochrane databases were searched for articles investigating radiomics features predictive of overall survival (OS) in NSCLC treated with curative intent radiotherapy. A random-effects meta-analysis of Harrell's Concordance Index (C-index) was performed on the performance of radiomics models. RESULTS: Of the 2746 articles retrieved, 40 studies of 55..

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