Osteoporosis prediction using lumbar CT Hounsfield units: comparative performance and clinical implications of seven machine learning models

Akihiko Hiyama; Daisuke Sakai; Hiroyuki Katoh; M. Sato; M. Hayakawa

doi:10.1007/s00586-026-09753-z

January 30, 2026European Spine JournalOpen Access

Osteoporosis prediction using lumbar CT Hounsfield units: comparative performance and clinical implications of seven machine learning models

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Key Points

This research aims to evaluate the performance of various machine learning models for predicting osteoporosis using lumbar CT Hounsfield units.
Evaluated seven machine learning models including KNN, Logistic Regression, and SVM.
Used L1-L4 Hounsfield units from CT scans for analysis.
Assessed diagnostic performance comparing accuracy and classification methods.
KNN demonstrated the most robust and balanced diagnostic performance.
Logistic Regression and SVM provided stable classification thresholds.
Machine learning models show potential in osteoporosis screening where DXA is unavailable.

Implication

Machine learning models predict osteoporosis in clinical settings, highlighting their diagnostic value for spine surgery.

Abstract

ML models using L1-L4 HU values can aid in osteoporosis screening. KNN provided the most robust and balanced diagnostic performance, while Logistic Regression and SVM offered stable threshold-based classification. These findings support the utility of CT-based ML approaches in preoperative spinal surgery settings, particularly where DXA is unavailable or limited.

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Cite This Study

Hiyama et al. (2026) studied this question.

synapsesocial.com/papers/6980fdc7c1c9540dea80f7cc https://doi.org/10.1007/s00586-026-09753-z

View Full Paper

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Osteoporosis prediction using lumbar CT Hounsfield units: comparative performance and clinical implications of seven machine learning models

Key Points

Implication

Abstract

Discussion

Cite This Study

Osteoporosis prediction using lumbar CT Hounsfield units: comparative performance and clinical implications of seven machine learning models

Key Points

Implication

Abstract

Discussion

Cite This Study

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