PT  - JOURNAL ARTICLE
AU  - Daniel Alsoof
AU  - Christopher L. McDonald
AU  - Wesley M. Durand
AU  - Bassel G. Diebo
AU  - Eren O. Kuris
AU  - Alan H. Daniels
TI  - Radiomics in Spine Surgery
AID  - 10.14444/8501
DP  - 2023 Jun 01
TA  - International Journal of Spine Surgery
PG  - S57--S64
VI  - 17
IP  - S1
4099  - http://ijssurgery.com//content/17/S1/S57.short
4100  - http://ijssurgery.com//content/17/S1/S57.full
SO  - Int J Spine Surg2023 Jun 01; 17
AB  - Radiomics is an emerging approach to analyze clinical images with the purpose of revealing quantitative features that are unvisible to the naked eye. Radiomic features can be further combined with clinical data and genomic information to formulate prediction models using machine learning algorithms or manual statistical analysis. While radiomics has been classically applied to tumor analysis, there is promising research in its application to spine surgery, including spinal deformity, oncology, and osteoporosis detection. This article reviews the fundamental principles of radiomic analysis, the current literature relating to the spine, and the limitations of this approach.