# Novel CT-based simulation reveals anterolateral surgical approach avoids acromial collision in antegrade humeral nailing

**Authors:** Richard Arnhold, Maximilian Kern, Felix Schatzl, Christoph Epple, Franz Kralinger

PMC · DOI: 10.1007/s00068-025-03047-7 · European Journal of Trauma and Emergency Surgery · 2026-01-13

## TL;DR

A CT-based simulation shows that using an anterolateral surgical approach significantly reduces the risk of implant-acromion collision during antegrade humeral nailing.

## Contribution

The study introduces a CT-based simulation method to compare surgical approaches and identifies a predictive threshold for acromion collision risk.

## Key findings

- The anterolateral approach reduced collision risk to 2.9%, compared to 47.1% with the transdeltoid approach.
- An Acromion Index (AI) threshold of ≥0.69 predicted collision risk with 63% sensitivity and 72% specificity.

## Abstract

To compare implant–acromion collision risk between the transdeltoid and anterolateral surgical approaches for straight antegrade humeral nailing (SAHN) using a CT-based simulation, and to evaluate whether the Acromion Index (AI) predicts collision.

Sixty-eight anonymized shoulder CTs were segmented to generate scapular and humeral surface models. A straight 8-mm nail was virtually advanced along the medullary axis under two conditions: (I) transdeltoid with 0° glenohumeral extension and (II) anterolateral with 30° extension. Two trained investigators independently repeated all simulations and recorded nail-acromion collisions. Agreement was assessed with Cohen’s κ and intraclass correlation coefficients (ICC). Collision rates were compared with paired McNemar tests. The predictive value of AI was analyzed using logistic regression and receiver-operating-characteristic (ROC) analysis.

Implant-acromion collision occurred in 32/68 shoulders (47.1%) with the transdeltoid approach, versus 2/68 (2.9%) with the anterolateral approach (absolute risk reduction 44%; number-needed-to-treat 2.3; p< 10⁻⁶). AI independently predicted transdeltoid failure (adjusted odds ratio 2.81 per +0.10; p = 0.011); a cut-off ≥ 0.69 yielded an AUC of 0.72 (63% sensitivity, 72% specificity). Inter-observer reliability was substantial for collision (κ 0.86) and excellent for morphometrics (ICC ≥ 0.90).

CT-based simulation demonstrates that the anterolateral approach markedly reduces the risk of implant-acromion collision in SAHN and should therefore be considered the preferred option. However, if the transdeltoid approach is selected, preoperative AI screening with a threshold of ≥0.69 is essential, as larger acromia increase collision risk and must be factored into surgical planning.

Level IV – paired in-silico simulation study.

## Full-text entities

- **Genes:** GGH (gamma-glutamyl hydrolase) [NCBI Gene 8836] {aka GATD10, GH}
- **Diseases:** cuff injury (MESH:D000070636), GH (MESH:D000092483), deformity (MESH:D009140), osteoporosis (MESH:D010024), cuff tears (MESH:D000070656), SAHN (MESH:D009260), PHF (MESH:D006810), AI (MESH:C566784), varus collapse (MESH:D001261), osteoarthritis (MESH:D010003), impingement (MESH:D019534), osteoporotic (MESH:D058866), fracture (MESH:D050723), footprint injury (MESH:D014947)
- **Chemicals:** SAHN (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

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Source: https://tomesphere.com/paper/PMC12799647