Machine learning clustering of adult spinal deformity patients identifies four prognostic phenotypes: a multicenter prospective cohort analysis with single surgeon external validation.

Background Context: Among adult spinal deformity (ASD) patients, heterogeneity in patient pathology, surgical expectations, baseline impairments, and frailty complicates comparisons in clinical outcomes and research. This study aims to qualitatively segment ASD patients using machine learning-based clustering on a large, multicenter, prospectively gathered ASD cohort.

Purpose: To qualitatively segment adult spinal deformity patients using machine learning-based clustering on a large, multicenter, prospectively gathered cohort.

Spinal osteotomies for rigid deformities.

Various osteotomies are useful in making a rigid deformity flexible enough for realignment in coronal and sagittal plane. This article defines the osteotomies and their usefulness in treatment of specific rigid deformities. The pedicle subtraction osteotomy and vertebral column resection used in treating rigid deformities are described in detail.

Plain radiography of the lumbosacral spine in Marfan syndrome.

Background Context: Marfan syndrome is a connective tissue disorder that results from a defect in the production of fibrillin. These patients tend to have several osseous anomalies of the lumbosacral spine.

Purpose: This study examines the effectiveness of plain radiographic findings in predicting Marfan syndrome.