Cargando…

Accuracy of bone resection in total knee arthroplasty using CT assisted-3D printed patient specific cutting guides

Introduction: We conducted this study to determine if the pre-surgical patient specific instrumented planning based on Computed Tomography (CT) scans can accurately predict each of the femoral and tibial resections performed through 3D printed cutting guides. The technique helps in optimization of c...

Descripción completa

Detalles Bibliográficos
Autores principales: Nizam, Ikram, Batra, Ashish V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: EDP Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6047362/
https://www.ncbi.nlm.nih.gov/pubmed/30009760
http://dx.doi.org/10.1051/sicotj/2018032
_version_ 1783339937534312448
author Nizam, Ikram
Batra, Ashish V.
author_facet Nizam, Ikram
Batra, Ashish V.
author_sort Nizam, Ikram
collection PubMed
description Introduction: We conducted this study to determine if the pre-surgical patient specific instrumented planning based on Computed Tomography (CT) scans can accurately predict each of the femoral and tibial resections performed through 3D printed cutting guides. The technique helps in optimization of component positioning determined by accurate bone resection and hence overall alignment thereby reducing errors. Methods: Prophecy evolution medial pivot patient specific instrumented knee replacement systems were used for end stage arthrosis in all consecutive cases over a period of 20 months by a single surgeon. All resections (4 femoral and 2 tibial) were measured using a vernier callipers intraoperatively. These respective measurements were then compared with the preoperative CT predicted bone resection surgical plan to determine margins of errors that were categorized into 7 groups (0 mm to ≥2.6 mm). Results: A total of 3618 measurements (averaged to 1206) were performed in 201 knees (105 right and 96 left) in 188 patients (112 females and 76 males) with an average age of 67.72 years (44 to 90 years) and average BMI of 32.3 (25.1 to 42.3). 94% of all collected resection readings were below the error margin of ≤1.5 mm of which 90% showed resection error of ≤1 mm. Mean error of different resections were ≤0.60 mm (P ≤ 0.0001). In 24% of measurements there were no errors or deviations from the templated resection (0.0 mm). Conclusion: The 3D printed cutting blocks with slots for jigs accurately predict bone resections in patient specific instrumentation total knee arthroplasty which would directly affect component positioning.
format Online
Article
Text
id pubmed-6047362
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher EDP Sciences
record_format MEDLINE/PubMed
spelling pubmed-60473622018-08-01 Accuracy of bone resection in total knee arthroplasty using CT assisted-3D printed patient specific cutting guides Nizam, Ikram Batra, Ashish V. SICOT J Original Article Introduction: We conducted this study to determine if the pre-surgical patient specific instrumented planning based on Computed Tomography (CT) scans can accurately predict each of the femoral and tibial resections performed through 3D printed cutting guides. The technique helps in optimization of component positioning determined by accurate bone resection and hence overall alignment thereby reducing errors. Methods: Prophecy evolution medial pivot patient specific instrumented knee replacement systems were used for end stage arthrosis in all consecutive cases over a period of 20 months by a single surgeon. All resections (4 femoral and 2 tibial) were measured using a vernier callipers intraoperatively. These respective measurements were then compared with the preoperative CT predicted bone resection surgical plan to determine margins of errors that were categorized into 7 groups (0 mm to ≥2.6 mm). Results: A total of 3618 measurements (averaged to 1206) were performed in 201 knees (105 right and 96 left) in 188 patients (112 females and 76 males) with an average age of 67.72 years (44 to 90 years) and average BMI of 32.3 (25.1 to 42.3). 94% of all collected resection readings were below the error margin of ≤1.5 mm of which 90% showed resection error of ≤1 mm. Mean error of different resections were ≤0.60 mm (P ≤ 0.0001). In 24% of measurements there were no errors or deviations from the templated resection (0.0 mm). Conclusion: The 3D printed cutting blocks with slots for jigs accurately predict bone resections in patient specific instrumentation total knee arthroplasty which would directly affect component positioning. EDP Sciences 2018-07-13 /pmc/articles/PMC6047362/ /pubmed/30009760 http://dx.doi.org/10.1051/sicotj/2018032 Text en © The Authors, published by EDP Sciences, 2018 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Nizam, Ikram
Batra, Ashish V.
Accuracy of bone resection in total knee arthroplasty using CT assisted-3D printed patient specific cutting guides
title Accuracy of bone resection in total knee arthroplasty using CT assisted-3D printed patient specific cutting guides
title_full Accuracy of bone resection in total knee arthroplasty using CT assisted-3D printed patient specific cutting guides
title_fullStr Accuracy of bone resection in total knee arthroplasty using CT assisted-3D printed patient specific cutting guides
title_full_unstemmed Accuracy of bone resection in total knee arthroplasty using CT assisted-3D printed patient specific cutting guides
title_short Accuracy of bone resection in total knee arthroplasty using CT assisted-3D printed patient specific cutting guides
title_sort accuracy of bone resection in total knee arthroplasty using ct assisted-3d printed patient specific cutting guides
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6047362/
https://www.ncbi.nlm.nih.gov/pubmed/30009760
http://dx.doi.org/10.1051/sicotj/2018032
work_keys_str_mv AT nizamikram accuracyofboneresectionintotalkneearthroplastyusingctassisted3dprintedpatientspecificcuttingguides
AT batraashishv accuracyofboneresectionintotalkneearthroplastyusingctassisted3dprintedpatientspecificcuttingguides