Surgical technique: Computer-generated custom jigs improve accuracy of wide resection of bone tumors. Academic Article uri icon

Overview

abstract

  • BACKGROUND: Manual techniques of reproducing a preoperative plan for primary bone tumor resection using rudimentary devices and imprecise localization techniques can result in compromised margins or unnecessary removal of unaffected tissue. We examined whether a novel technique using computer-generated custom jigs more accurately reproduces a preoperative resection plan than a standard manual technique. DESCRIPTION OF TECHNIQUE: Using CT images and advanced imaging, reverse engineering, and computer-assisted design software, custom jigs were designed to precisely conform to a specific location on the surface of partially skeletonized cadaveric femurs. The jigs were used to perform a hemimetaphyseal resection. METHODS: We performed CT scans on six matched pairs of cadaveric femurs. Based on a primary bone sarcoma model, a joint-sparing, hemimetaphyseal wide resection was precisely outlined on each femur. For each pair, the resection was performed using the standard manual technique on one specimen and the custom jig-assisted technique on the other. Superimposition of preoperative and postresection images enabled quantitative analysis of resection accuracy. RESULTS: The mean maximum deviation from the preoperative plan was 9.0 mm for the manual group and 2.0 mm for the custom-jig group. The percentages of times the maximum deviation was greater than 3 mm and greater than 4 mm was 100% and 72% for the manual group and 5.6% and 0.0% for the custom-jig group, respectively. CONCLUSIONS: Our findings suggest that custom-jig technology substantially improves the accuracy of primary bone tumor resection, enabling a surgeon to reproduce a given preoperative plan reliably and consistently.

publication date

  • January 5, 2013

Research

keywords

  • Bone Neoplasms
  • Computer-Aided Design
  • Osteotomy
  • Sarcoma
  • Surgery, Computer-Assisted

Identity

PubMed Central ID

  • PMC3706671

Scopus Document Identifier

  • 84879296808

Digital Object Identifier (DOI)

  • 10.1007/s11999-012-2769-6

PubMed ID

  • 23292886

Additional Document Info

volume

  • 471

issue

  • 6