TruaceTracing the truth around AISunday, July 19, 2026
TRV-2026-0263Certified recordPeer-reviewed

Predicting postoperative coronal imbalance in Lenke 1/2 adolescent idiopathic scoliosis: A machine learning model with clinical interpretability

Selective posterior thoracic fusion (sPTF) for Lenke 1/2 adolescent idiopathic scoliosis (AIS) aims to reconcile multi-planar correction with motion preservation. Nevertheless, postoperative coronal imbalance (CIB) frequently compromises these objectives. This study developed an interpretable machine learning architecture to stratify CIB risk and identify key predictors. Data from 282 patients were analyzed. Following dual-stage dimensionality reduction (Boruta and LASSO) on 24 candidate predictors, ten machine…

Health · G Space — documented gain · certified 2026-07-19 · v1 · article view · machine-readable

Current reading — gain

LightGBM model trained on 282 Lenke 1/2 AIS patients predicted postoperative coronal imbalance with AUC 0.885 training and 0.824 internal validation, identifying LIV-LSTV, Lumbar Modifier, and Risser grade as key predictors.

What this doesn’t fix

Model has only split-sample internal validation and lacks independent external validation needed for clinical use.

Evidence

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Truvace Impact Record TRV-2026-0263, v1: “Predicting postoperative coronal imbalance in Lenke 1/2 adolescent idiopathic scoliosis: A machine learning model with clinical interpretability.” Truvace, 2026-07-19. /record/TRV-2026-0263 (accessed at citation time). sha256 7e183f1ddae670fc

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