Management Algorithm for Osseous Metastatic Disease: What the Treatment Teams Want to Know

Wende N Gibbs; Mahmud Mossa Basha; J Levi Chazen

doi:10.1016/j.nic.2023.04.003

Management Algorithm for Osseous Metastatic Disease: What the Treatment Teams Want to Know

Neuroimaging Clin N Am. 2023 Aug;33(3):487-497. doi: 10.1016/j.nic.2023.04.003. Epub 2023 May 22.

Authors

Wende N Gibbs¹, Mahmud Mossa Basha², J Levi Chazen³

Affiliations

¹ Barrow Neurological Institute, Department of Neuroradiology, St. Joseph's Hospital and Medical Center, 350 West Thomas Road, Phoenix, AZ 85013, USA. Electronic address: Wende.Gibbs@BarrowNeuro.Org.
² University of Washington School of Medicine, 1959 Northeast Pacific Street, Seattle, WA 98195, USA.
³ Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, USA.

PMID: 37356864
DOI: 10.1016/j.nic.2023.04.003

Abstract

Radiologists play a primary role in identifying, characterizing, and classifying spinal metastases and can play a lifesaving role in the care of these patients by triaging those with instability to urgent spine surgery consultation. For this reason, an understanding of current treatment algorithms and principles of spinal stability in patients with cancer is vital for all who interpret spine studies. In addition, advances in imaging allow radiologists to provide more accurate diagnoses and characterize pathology, thereby improving patient safety.

Keywords: Advanced imaging; Metastatic disease; Oncology; SBRT; SINS; Spinal instability neoplastic score; Spine; Spine surgery.

Publication types

Review

MeSH terms

Diagnostic Imaging
Humans
Spinal Neoplasms* / diagnostic imaging
Spinal Neoplasms* / pathology
Spinal Neoplasms* / therapy
Spine / pathology