Evidence map›Paper›PMID 42752375›Full record

ArticleSICOT-J2026

Design of a multitissue osteoarticular 3D-Printed knee model for initial training in meniscal repair.

Manon Pignero, Javier Arduengo Garcia, Jean Yves Hascoet, Cyrille Decante, Julien Berhouet, Herve Thomazeau, Vincent Biscaccianti, Vincent Crenn

Abstract read
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Article in SICOT-J, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Manon PigneroNantes Université, CHU Nantes, Department of Orthopaedic, F-44000 Nantes, France.ORCID 0009-0003-5927-7776
Javier Arduengo GarciaEcole Centrale de Nantes, F-44000 Nantes, France.ORCID 0009-0006-8623-401X
Jean Yves HascoetEcole Centrale de Nantes, F-44000 Nantes, France.
Cyrille DecanteNantes Université, CHU Nantes, Department of Pediatric Orthopaedic Surgery, F-44000 Nantes, France.
Julien BerhouetCentre Hospitalier Regional Universitaire de Tours, Department of Orthopaedic, 37000 Tours, France.ORCID 0000-0001-6718-261X
Herve ThomazeauCentre Hospitalier Universitaire de Rennes, Department of Orthopaedic, 35033 Rennes, France.
Vincent BiscacciantiEcole Centrale de Nantes, F-44000 Nantes, France.ORCID 0009-0003-4476-0298
Vincent CrennNantes Université, CHU Nantes, Department of Orthopaedic, F-44000 Nantes, France.

Funding

GRIPSGO
6 · The paper itself

Abstract

purposeMeniscal preservation is essential, given the degenerative risk associated with meniscectomy. Consequently, meniscal repair is a key technical skill to be acquired early during surgical training. However, resident education is limited by restricted access to human models. While artificial simulators represent an alternative, their use is often constrained by high cost and limited biomechanical or arthroscopic realism. The aim of this project was to design and evaluate a 3D-printed arthroscopic simulator dedicated to meniscal repair, developed through a collaboration between orthopedic surgeons and engineers, in order to provide an accessible and realistic educational tool.

methodsModeling and design were jointly performed by orthopedic surgeons and engineers based on segmentation of medical imaging data. A complete lower limb was created, incorporating a removable capsulomeniscal complex. Osseous and cartilaginous structures were produced by direct 3D printing, while ligaments and the capsulomeniscal complex were molded in silicone using 3D-printed templates. This removable complex differentiates peripheral capsular insertions from meniscal roots, reproducing the anatomical constraints. The model was assessed through a subjective evaluation of arthroscopic realism during meniscal suturing procedures by two independent knee surgery experts.

resultsThe prototype reproduces a complete lower limb articulated around a fixed femoral pivot, with near-physiological hip and knee motion. It allows dry arthroscopy for various meniscal tear patterns and requires Cabot and valgus maneuvers for optimal femorotibial exposure. Ramp lesions can be repaired via a postero-medial approach using a hook instrument, whereas osseous procedures such as meniscal root reinsertion remain unfeasible. Both evaluators rated as "very realistic" the anatomy, haptic feedback, and ramp lesion suturing. Overall, arthroscopic realism was rated as "very realistic" by both.

conclusionThis study presents a realistic 3D-printed simulator for meniscal repair, addressing a clear educational need. Further development and large-scale validation studies involving trainees are required to confirm its pedagogical relevance. Study type / Level of evidence: Experimental design study / Level IV.

Indexed as

3D printingArthroscopyKneeMeniscal repairSimulation

Identifiers

PMID42752375
PMCPMC13584642

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.