ArticleJournal of orthopaedic surgery and research2025
Application of a rapid and accurate safe-margin volume generation method in computer-assisted bone tumor resection surgery.
Article in Journal of orthopaedic surgery and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Automated dangerous region generation for computer-assisted pelvic bone tumour resection: a retrospective comparative study.International orthopaedics · 2026Article
- Correction: Application of a rapid and accurate safe-margin volume generation method in computer-assisted bone tumor resection surgery.Journal of orthopaedic surgery and research · 2026Article
- A Dangerous Region Generation Method for Computer-Assisted Pelvic Bone Tumor Resection Surgery: A Retrospective Study.Journal of clinical medicine · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
Abstract
introductionIn computer-assisted bone tumor resection, surgeons manually plan cut planes with a safe margin before surgery and follow them using navigation during osteotomy. However, manual planning is prone to error and often fails to ensure adequate margins. To address this, we propose an efficient method to rapidly and accurately generate a 3D safe-margin volume that uniformly extends the tumor by a safe margin.
methodsThe study was conducted on 20 patients (9 males, 11 females) between May 2018 and October 2023. The average age was 41.75 ± 14.72 years (14-66) and the tumor types were chondrosarcoma in 5 cases, giant cell tumor in 5 cases, osteosarcoma in 2 cases, chordoma in 2 cases, Ewing sarcoma in 2 cases, spindle cell sarcoma in 1 case, osteochondroma in 1 case, chondromyxoid fibroma in 1 case and peripheral nerve sheath tumor in 1 case. The quality of the generated safe-margin volumes were assessed by visual comparison outcomes, geometric errors and maximum absolute geometric errors, time costs and clinical outcomes.
resultsAll 20 patients were successfully followed up, with a mean follow-up duration of 42.30 ± 18.75 months (range: 3-86 months). The generated 3D safe-margin volumes were visually closer to the ground truth compared to those from the 3D morphological dilation and anisotropic distance transform methods. The method achieved a mean geometric error of approximately 0.10 mm, significantly lower than the dilation method (up to 10.00 mm) and the anisotropic method (about 1.00 mm). The average maximum absolute geometric error was 0.1818 mm, and statistical tests confirmed significant improvements (P-value < 0.01). The method also exhibited favorable computational efficiency, with an average runtime of 26.82 s, substantially faster than our previous point-based method (6.29 min) and acceptable for preoperative planning.
conclusionIn this study, we developed a fast and accurate safe-margin volume generation method by combining 3D image resampling with anisotropic distance transform. This method shows strong potential in clinical practice.
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