Evidence map›Paper›PMID 32875301›Full record

ArticleArthroscopy, sports medicine, and rehabilitation2020

Can Surgeons Identify ACL Femoral Ridges Landmark and Optimal Tunnel Position? A 3D Model Study.

Carl Laverdiere, Drew Schupbach, Justin Schupbach, Eric Harvey, Mathieu Boily, Mark Burman, Paul A Martineau

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Article in Arthroscopy, sports medicine, and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Carl LaverdiereDepartment of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada.
Drew SchupbachDepartment of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada.
Justin SchupbachDepartment of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada.
Eric HarveyDepartment of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada.
Mathieu BoilyDepartment of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada.
Mark BurmanDepartment of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada.
Paul A MartineauDepartment of Orthopedic Surgery, McGill University Health Centre, Montreal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo examine the ability of surgeons to identify the osseous landmarks associated with the femoral anterior cruciate ligament (ACL) footprint and locate optimal tunnel placement on 3-dimensional (3D) printed models compared with intraoperative placement.

methodsTwelve sports fellowship-trained orthopaedic surgeons were asked to identify a femoral landmark and an ACL footprint on 10 different 3D printed knees. The 3D models were made based on 20 real patients with different anatomical morphology who later received ACL reconstructive surgery using independent drilling. ImageJ software was used to quantify the measurements, which were then analyzed using descriptive statistics.

resultsOverall, none of the surgeons were able to consistently identify the junction of the bony ridges. The mean error per participant ranged from 2.81 to 7.34 mm in the proximal direction (

conclusionsExperienced sports fellowship-trained orthopaedic surgeons were unable to correctly identify the junction of the intercondylar and bifurcate ridges and the native ACL footprint on 3D models. Operatively placed tunnels were more accurate implying that looking either through a scope or soft-tissue landmarks play a significant role in surgeons ACL footprint localization. CLINICAL RELEVANCE: The graft position for ACL reconstruction plays an important role on the kinematics of the knee. This paper shows that soft tissue landmarks are needed to provide reliable reference points for reconstruction.

Identifiers

PMID32875301
PMCPMC7451917

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