Author

N. Segi

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Aug 2026

Deep Learning Versus LASSO-Based Machine Learning for 1-Year Survival After Surgery for Spinal Metastases: A JASA Multicenter Prospective Cohort Analysis.

STUDY DESIGN Multicenter prospective cohort study; secondary analysis. OBJECTIVE To evaluate predictors associated with 1-year survival after surgery for spinal metastases by comparing a comprehensive 50-variable deep learning (DL) model with a previously published 5-variable LASSO-based machine learning (ML) model a...

S. Ito, Hiroaki Nakashima, N. Segi et al. · Spine · 0 citations

Open access Sep 2026

Evaluation of paraspinal muscle quality using Hounsfield unit in simple elliptical regions of interest: correlation with magnetic resonance imaging-based intramuscular fat infiltration in spine surgery patients

Study design Retrospective cohort study. Objectives To correlate Hounsfield unit (HU) values, using elliptical regions of interest (ROI), that can be easily defined in routine clinical practice with magnetic resonance imaging (MRI) T2-hyperintense area fraction, as a surrogate for paraspinal muscle fat infiltration and...

N. Segi, Y. Okada, Y. Takeichi et al. · medRxiv · 0 citations