Radiomics in Musculoskeletal Tumors

Daniel Brandenberger; Lawrence M. White

doi:10.1055/s-0043-1776428

Seminars in Musculoskeletal Radiology, Table of Contents

Semin Musculoskelet Radiol 2024; 28(01): 049-061
DOI: 10.1055/s-0043-1776428

Review Article

Radiomics in Musculoskeletal Tumors

Daniel Brandenberger

¹Department of Medical Imaging, Musculoskeletal Imaging, University of Toronto, Toronto, Ontario, Canada

²Institut für Radiologie und Nuklearmedizin, Kantonsspital Baselland, Liestal, Switzerland

³Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System, and Women's College Hospital, Mount Sinai Hospital, Toronto, Ontario, Canada

,

Lawrence M. White

¹Department of Medical Imaging, Musculoskeletal Imaging, University of Toronto, Toronto, Ontario, Canada

³Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System, and Women's College Hospital, Mount Sinai Hospital, Toronto, Ontario, Canada

› Author Affiliations

Abstract

Sarcomas are heterogeneous rare tumors predominantly affecting the musculoskeletal (MSK) system. Due to significant variations in their natural history and variable response to conventional treatments, the discovery of novel diagnostic and prognostic biomarkers to guide therapeutic decision-making is an active and ongoing field of research. As new cellular, molecular, and metabolic biomarkers continue to be discovered, quantitative radiologic imaging is becoming increasingly important in sarcoma management. Radiomics offers the potential for discovering novel imaging diagnostic and predictive biomarkers using standard-of-care medical imaging. In this review, we detail the core concepts of radiomics and the application of radiomics to date in MSK sarcoma research. Also described are specific challenges related to radiomic studies, as well as viewpoints on clinical adoption and future perspectives in the field.

Keywords

sarcoma - radiomics - quantitative imaging - machine learning - artificial intelligence

Full Text

References

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