Assessing the prognostic impact of body composition phenotypes on surgical outcomes and survival in patients with spinal metastasis: a deep learning approach to preoperative CT analysis.

Journal: Journal of neurosurgery. Spine

PMID: 39705691

Abstract

OBJECTIVE: The prognostic significance of body composition phenotypes for survival in patients undergoing surgical intervention for spinal metastases has not yet been elucidated. This study aimed to elucidate the impact of body composition phenotypes on surgical outcomes and 5-year survival.

Authors

Syed I Khalid

1Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts; and.
Elie Massaad

Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
John H Shin

2Department of Neurosurgery, Harvard Medical School, Cambridge, Massachusetts.

Keywords

Aged Body Composition Deep Learning Female Humans Male Middle Aged Obesity Phenotype Prognosis Retrospective Studies Sarcopenia Spinal Neoplasms Tomography, X-Ray Computed Treatment Outcome

External Resources

View on PubMed Access via DOI PubMed (39705691)

Assessing the prognostic impact of body composition phenotypes on surgical outcomes and survival in patients with spinal metastasis: a deep learning approach to preoperative CT analysis.

Abstract

Authors

Keywords

External Resources

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