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Delta radiomics: a systematic review

  • Computed Tomography
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La radiologia medica Aims and scope Submit manuscript

Abstract

Background

Radiomics can provide quantitative features from medical imaging that can be correlated with various biological features and clinical endpoints. Delta radiomics, on the other hand, consists in the analysis of feature variation at different acquisition time points, usually before and after therapy. The aim of this study was to provide a systematic review of the different delta radiomics approaches.

Methods

Eligible articles were searched in Embase, PubMed, and ScienceDirect using a search string that included free text and/or Medical Subject Headings (MeSH) with three key search terms: “radiomics”, “texture”, and “delta”. Studies were analysed using QUADAS-2 and the RQS tool.

Results

Forty-eight studies were finally included. The studies were divided into preclinical/methodological (five studies, 10.4%); rectal cancer (six studies, 12.5%); lung cancer (twelve studies, 25%); sarcoma (five studies, 10.4%); prostate cancer (three studies, 6.3%), head and neck cancer (six studies, 12.5%); gastrointestinal malignancies excluding rectum (seven studies, 14.6%), and other disease sites (four studies, 8.3%). The median RQS of all studies was 25% (mean 21% ± 12%), with 13 studies (30.2%) achieving a quality score < 10% and 22 studies (51.2%) < 25%.

Conclusions

Delta radiomics shows potential benefit for several clinical endpoints in oncology (differential diagnosis, prognosis and prediction of treatment response, and evaluation of side effects). Nevertheless, the studies included in this systematic review suffer from the bias of overall low quality, so that the conclusions are currently heterogeneous, not robust, and not replicable.

Further research with prospective and multicentre studies is needed for the clinical validation of delta radiomics approaches.

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Authors and Affiliations

  1. Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138, Naples, Italy

    Valerio Nardone, Alfonso Reginelli, Roberta Grassi, Giovanna Vacca, Emma D’Ippolito, Maria Paola Belfiore & Salvatore Cappabianca

  2. Dipartimento Di Diagnostica Per Immagini, Radioterapia Oncologica Ed Ematologia - Fondazione Policlinico Universitario “A. Gemelli” IRCCS, Rome, Italy

    Luca Boldrini, Salvatore Annunziata & Alessandra Farchione

  3. Department of Biomedical, Experimental and Clinical Sciences “M. Serio”, University of Florence, Florence, Italy

    Isacco Desideri

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  1. Valerio Nardone
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Nardone, V., Reginelli, A., Grassi, R. et al. Delta radiomics: a systematic review. Radiol med 126, 1571–1583 (2021). https://doi.org/10.1007/s11547-021-01436-7

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