Literature DB >> 30115476

Accuracy of computer-assisted surgery in mandibular reconstruction: A systematic review.

Gustaaf J C van Baar1, Tymour Forouzanfar2, Niels P T J Liberton3, Henri A H Winters4, Frank K J Leusink5.   

Abstract

Computer-assisted surgery (CAS) for mandibular reconstruction was developed to improve conventional treatment methods. In the past years, many different software programs have entered the market, offering numerous approaches for preoperative planning and postoperative evaluation of the CAS process of mandibular reconstruction. In this systematic review, we reviewed planning and evaluation methods in studies that quantitatively assessed accuracy of mandibular reconstruction performed with CAS. We included 42 studies describing 413 mandibular reconstructions planned and evaluated using CAS. The commonest software was Proplan/Surgicase CMF (55%). In most cases, the postoperative virtual 3-dimensional model was compared to the preoperative 3-dimensional model, revised to the virtual plan (64%). The commonest landmark for accuracy measurements was the condyle (54%). Accuracy deviations ranged between 0 mm and 12.5 mm and between 0.9° and 17.5°. Because of a lack of uniformity in planning (e.g., image acquisition, mandibular resection size) and evaluation methodologies, the ability to compare postoperative outcomes was limited; meta-analysis was not performed. A practical and simple guideline for standardizing planning and evaluation methods needs to be considered to allow valid comparisons of postoperative results and facilitate meta-analysis in the future.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Computer-aided design; Computer-aided manufacturing; Computer-assisted; Data accuracy; Free tissue flaps; Mandibular reconstruction; Oral cancer; Printing; Software; Surgery; Three-dimensional

Mesh:

Year:  2018        PMID: 30115476     DOI: 10.1016/j.oraloncology.2018.07.004

Source DB:  PubMed          Journal:  Oral Oncol        ISSN: 1368-8375            Impact factor:   5.337


  15 in total

1.  Mandibular shape prediction model using machine learning techniques.

Authors:  Tania Camila Niño-Sandoval; Robinson Andrés Jaque; Fabio A González; Belmiro C E Vasconcelos
Journal:  Clin Oral Investig       Date:  2022-01-08       Impact factor: 3.573

Review 2.  3D Printing and Virtual Surgical Planning in Oral and Maxillofacial Surgery.

Authors:  Adeeb Zoabi; Idan Redenski; Daniel Oren; Adi Kasem; Asaf Zigron; Shadi Daoud; Liad Moskovich; Fares Kablan; Samer Srouji
Journal:  J Clin Med       Date:  2022-04-24       Impact factor: 4.964

3.  Factors influencing CAD/CAM accuracy in fibula free flap mandibular reconstruction.

Authors:  Ahmed Hassan Sweed; Alessandro Remigio Bolzoni; Aleksandra Kadubiec; Giada Anna Beltramini; Alessandro Cherchi; Alessandro Baj
Journal:  Acta Otorhinolaryngol Ital       Date:  2020-04       Impact factor: 2.124

4.  Automatic virtual reconstruction of maxillofacial bone defects assisted by ICP (iterative closest point) algorithm and normal people database.

Authors:  Bimeng Jie; Boxuan Han; Baocheng Yao; Yi Zhang; Hongen Liao; Yang He
Journal:  Clin Oral Investig       Date:  2021-09-25       Impact factor: 3.573

5.  3D printing in oral and maxillofacial surgery: a nationwide survey among university and non-university hospitals and private practices in Germany.

Authors:  Andreas Pabst; Elisabeth Goetze; Daniel G E Thiem; Alexander K Bartella; Lukas Seifert; Fabian M Beiglboeck; Juliane Kröplin; Jürgen Hoffmann; Alexander-N Zeller
Journal:  Clin Oral Investig       Date:  2021-07-19       Impact factor: 3.573

6.  Computer-assisted planning with 3D printing for mandibular reconstruction caused by a mandibular fracture with secondary osteomyelitis: A Case Report.

Authors:  Mauricio Barreda Hale; Pablo Romero-Araya; Macarena Cea Herrera; Daniela Espinoza; Nicolas Castro; Joaquín Castro; Guillaume Serandour
Journal:  Clin Case Rep       Date:  2021-07-19

7.  Use of artificial intelligence to recover mandibular morphology after disease.

Authors:  Ye Liang; JingJing Huan; Jia-Da Li; CanHua Jiang; ChangYun Fang; YongGang Liu
Journal:  Sci Rep       Date:  2020-10-02       Impact factor: 4.379

8.  A Novel Treatment Concept for Advanced Stage Mandibular Osteoradionecrosis Combining Isodose Curve Visualization and Nerve Preservation: A Prospective Pilot Study.

Authors:  Gustaaf J C van Baar; Lars Leeuwrik; Johannes N Lodders; Niels P T J Liberton; K Hakki Karagozoglu; Tymour Forouzanfar; Frank K J Leusink
Journal:  Front Oncol       Date:  2021-02-22       Impact factor: 6.244

Review 9.  Accuracy of Computer-Assisted Surgery in Maxillary Reconstruction: A Systematic Review.

Authors:  Gustaaf J C van Baar; Kitty Schipper; Tymour Forouzanfar; Lars Leeuwrik; Henri A H Winters; Angela Ridwan-Pramana; Frank K J Leusink
Journal:  J Clin Med       Date:  2021-03-16       Impact factor: 4.241

10.  Adherence to Computer-Assisted Surgical Planning in 136 Maxillofacial Reconstructions.

Authors:  Hongyang Ma; Sohaib Shujaat; Jeroen Van Dessel; Yi Sun; Michel Bila; Jan Vranckx; Constantinus Politis; Reinhilde Jacobs
Journal:  Front Oncol       Date:  2021-07-16       Impact factor: 6.244

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