Evidence map›Paper›PMID 41639909›Full record

ArticleArthroplasty (London, England)2026

Assessing the accuracy of 3D assistive technologies for surgical guidance of osteosarcoma resections: a comparative laboratory study of mixed reality, patient-specific instruments and freehand approaches.

Jose Caceres-Alban, Dieter M Lindskog, Johannes M Sieberer, Alyssa Glennon, Steven M Tommasini

Abstract read
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Article in Arthroplasty (London, England), 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jose Caceres-AlbanYale School of Engineering & Applied Science, New Haven, CT, 06511, USA.
Dieter M LindskogYale School of Medicine - Orthopaedics & Rehabilitation, New Haven, CT, 06520, USA.
Johannes M SiebererYale School of Engineering & Applied Science - Mechanical Engineering, New Haven, CT, 06511, USA. johannes.sieberer@yale.edu.
Alyssa GlennonYale School of Medicine - Orthopaedics & Rehabilitation, New Haven, CT, 06520, USA.
Steven M TommasiniYale School of Medicine - Orthopaedics & Rehabilitation, New Haven, CT, 06520, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe survival rate after surgical osteosarcoma resection is low, particularly when the sarcoma is not fully removed. Therefore, wide surgical margins are used in surgery, limiting how much bone can be salvaged. Patient-specific instrumentation (PSI) enables smaller margins, but utilization is low. Mixed reality-based techniques (MR) might be easier to implement. The purpose of this study was to compare the cutting accuracy of MR, PSI, and freehand techniques in 3D-printed osteosarcoma models and determine the corresponding technique-related minimal surgical margins.

methodsCT-scans of patients with extremity osteosarcoma were acquired, segmented, and the bones 3D-printed three times. Scans were excluded if they had low resolution or metal artifacts. Pre-surgical planning for full resection was conducted, and corresponding PSI and MR plans were created. Tumor resections were separately done via a freehand, PSI, and MR approach. Resected bone models were 3D scanned, and the cutting accuracy was determined. Differences in accuracy were determined via Bartlett's test and corresponding post-hoc tests for a significance level of 0.05. The techniques' surgical margins were determined for 90, 95, 97.5, and 99% successful cuts.

resultsTen osteosarcomas with one to three cutting planes were included, leading to a total of 19 cuts. The variance in cut accuracy was significantly greater for the freehand approach (standard deviation (STD) [95%CI]: 6.85 [5.18-10.13] mm) than the MR (STD: 3.71 [2.79-5.57] mm) and the PSI (STD: 2.68 [2.02-3.96] mm) approach. No significant difference in variance between PSI and MR was found (P = 0.44). Surgical margins varied between techniques, with the freehand approach being about twice those of the MR and PSI approaches. To achieve 99% tumor-free cuts, the estimated required margins were 15.9 mm (freehand), 6.2 mm (PSI), and 8.6 mm (MR).

conclusionThis study acts as a non-clinical proof of concept that the adoption of patient-specific instrumentation or mixed reality techniques for osteosarcoma resection might enable narrower margins pending in-vivo validation, potentially enabling bone and joint preservation and restoration, while decreasing resection failure rates.

Indexed as

3D-printingComputer-Assisted interventionsMixed Reality (MR)OsteosarcomaPatient-specific Instrumentation (PSI)Resection Margins

Identifiers

PMID41639909
PMCPMC12874771

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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.