Literature DB >> 18839378

Surgical inaccuracy of tumor resection and reconstruction within the pelvis: an experimental study.

Olivier Cartiaux1, Pierre-Louis Docquier, Laurent Paul, Bernard G Francq, Olivier H Cornu, Christian Delloye, Benoit Raucent, Bruno Dehez, Xavier Banse.   

Abstract

BACKGROUND AND
PURPOSE: Osseous pelvic tumors can be resected and reconstructed using massive bone allografts. Geometric accuracy of the conventional surgical procedure has not yet been documented. The aim of this experimental study was mainly to assess accuracy of tumoral resection with a 10-mm surgical margin, and also to evaluate the geometry of the host-graft reconstruction.
METHODS: An experimental model on plastic pelvises was designed to simulate tumor resection and reconstruction. 4 experienced surgeons were asked to resect 3 different tumors and to reconstruct pelvises. 24 resections and host-graft junctions were available for evaluation. Resection margins were measured. Several methods were created to evaluate geometric properties of the host-graft junction.
RESULTS: The probability of a surgeon obtaining a 10-mm surgical margin with a 5-mm tolerance above or below, was 52% (95% CI: 37-67). Maximal gap, gap volume, and mean gap between host and graft was 3.3 (SD 1.9) mm, 2.7 (SD 2.1) cm3 and 3.2 (SD 2.1) mm, respectively. Correlation between these 3 reconstruction measures and the degree of contact at the host-graft junction was poor.
INTERPRETATION: 4 experienced surgeons did not manage to consistently respect a fixed surgical margin under ideal working conditions. The complex 3-dimensional architecture of the pelvis would mainly explain this inaccuracy. Solutions to this might be to increase the surgical margin or to use computer- and robotic-assisted technologies in pelvic tumor resection. Furthermore, our attempt to evaluate geometry of the pelvic reconstruction using simple parameters was not satisfactory. We believe that there is a need to define new standards of evaluation.

Entities:  

Mesh:

Year:  2008        PMID: 18839378     DOI: 10.1080/17453670810016731

Source DB:  PubMed          Journal:  Acta Orthop        ISSN: 1745-3674            Impact factor:   3.717


  29 in total

1.  Potential use of computer navigation in the treatment of primary benign and malignant tumors in children.

Authors:  Kevan Saidi
Journal:  Curr Rev Musculoskelet Med       Date:  2012-06

2.  Are Skin Fiducials Comparable to Bone Fiducials for Registration When Planning Navigation-assisted Musculoskeletal Tumor Resections in a Cadaveric Simulated Tumor Model?

Authors:  Rodolfo Zamora; Stephanie E Punt; Claudia Christman-Skieller; Cengiz Yildirim; John C Shapton; Ernest U Conrad
Journal:  Clin Orthop Relat Res       Date:  2019-12       Impact factor: 4.176

Review 3.  "Advances in the surgical management of bone tumors".

Authors:  Justin E Bird
Journal:  Curr Oncol Rep       Date:  2014-07       Impact factor: 5.075

4.  Assessment of registration accuracy during computer-aided oncologic limb-salvage surgery.

Authors:  Kurt E Stoll; Joan D Miles; Jedediah K White; Stephanie E W Punt; Ernest U Conrad; Randal P Ching
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-01-13       Impact factor: 2.924

5.  CORR Insights®: Can Navigation-assisted Surgery Help Achieve Negative Margins in Resection of Pelvic and Sacral Tumors?

Authors:  Makoto Ieguchi
Journal:  Clin Orthop Relat Res       Date:  2018-03       Impact factor: 4.176

6.  Patient-specific instrument can achieve same accuracy with less resection time than navigation assistance in periacetabular pelvic tumor surgery: a cadaveric study.

Authors:  Kwok-Chuen Wong; Kwan-Yik Sze; Irene Oi-Ling Wong; Chung-Ming Wong; Shekhar-Madhukar Kumta
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-07-07       Impact factor: 2.924

7.  CORR Insights®: Are Skin Fiducials Comparable to Bone Fiducials for Registration When Planning Navigation-assisted Musculoskeletal Tumor Resections in a Cadaveric Simulated Tumor Model?

Authors:  H Thomas Temple
Journal:  Clin Orthop Relat Res       Date:  2019-12       Impact factor: 4.176

8.  Patient-specific desktop 3D-printed guides for pelvic tumour resection surgery: a precision study on cadavers.

Authors:  Mónica García-Sevilla; Lydia Mediavilla-Santos; María Teresa Ruiz-Alba; Rubén Pérez-Mañanes; José Antonio Calvo-Haro; Javier Pascau
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-02-22       Impact factor: 2.924

9.  Computer-assisted resection and reconstruction of pelvic tumor sarcoma.

Authors:  Pierre-Louis Docquier; Laurent Paul; Olivier Cartiaux; Christian Delloye; Xavier Banse
Journal:  Sarcoma       Date:  2010-11-28

10.  Haptic robot-assisted surgery improves accuracy of wide resection of bone tumors: a pilot study.

Authors:  Fazel Khan; Andrew Pearle; Christopher Lightcap; Patrick J Boland; John H Healey
Journal:  Clin Orthop Relat Res       Date:  2013-03       Impact factor: 4.176

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