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Automatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT
Computer-assisted surgery (CAS) can improve surgical precision in orthopaedic oncology. Accurate alignment of the patient’s imaging coordinates with the anatomy, known as registration, is one of the most challenging aspects of CAS and can be associated with substantial error. Using intraoperative, o...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Journal of Bone and Joint Surgery, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071254/ https://www.ncbi.nlm.nih.gov/pubmed/35540727 http://dx.doi.org/10.2106/JBJS.OA.21.00140 |
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author | Sahovaler, Axel Daly, Michael J. Chan, Harley H.L. Nayak, Prakash Tzelnick, Sharon Arkhangorodsky, Michelle Qiu, Jimmy Weersink, Robert Irish, Jonathan C. Ferguson, Peter Wunder, Jay S. |
author_facet | Sahovaler, Axel Daly, Michael J. Chan, Harley H.L. Nayak, Prakash Tzelnick, Sharon Arkhangorodsky, Michelle Qiu, Jimmy Weersink, Robert Irish, Jonathan C. Ferguson, Peter Wunder, Jay S. |
author_sort | Sahovaler, Axel |
collection | PubMed |
description | Computer-assisted surgery (CAS) can improve surgical precision in orthopaedic oncology. Accurate alignment of the patient’s imaging coordinates with the anatomy, known as registration, is one of the most challenging aspects of CAS and can be associated with substantial error. Using intraoperative, on-the-table, cone-beam computed tomography (CBCT), we performed a pilot clinical study to validate a method for automatic intraoperative registration. METHODS: Patients who were ≥18 years of age, had benign bone tumors, and underwent resection were prospectively enrolled. In addition to inserting a navigation tracking tool into the exposed bone adjacent to the surgical field, 2 custom plastic ULTEM tracking tools (UTTs) were attached to each patient’s skin adjacent to the tumor using an adhesive. These were automatically localized within the 3-dimensional CBCT volume to be used as image landmarks for registration, and the corresponding tracker landmarks were captured using an infrared camera. The main outcomes were the fiducial registration error (FRE) and the target registration error (TRE). The navigation time was recorded. RESULTS: Thirteen patients with benign tumors in the femur (n = 10), tibia (n = 2), and humerus (n = 1) underwent navigation-assisted resections. The mean values were 0.67 ± 0.15 mm (range, 0.47 to 0.97 mm) for FRE and 0.83 ± 0.51 mm (range, 0.42 to 2.28 mm) for TRE. Registration was successful in all cases. The mean time for CBCT imaging and tracker registration was 7.5 minutes. CONCLUSIONS: We present a novel automatic registration method for CAS exploiting intraoperative CBCT capabilities, which provided improved accuracy and reduced operative times compared with more traditional methods. CLINICAL RELEVANCE: This proof-of-principle study validated a novel process for automatic registration to improve the accuracy of resecting bone tumors using a surgical navigation system. |
format | Online Article Text |
id | pubmed-9071254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Journal of Bone and Joint Surgery, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90712542022-05-09 Automatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT Sahovaler, Axel Daly, Michael J. Chan, Harley H.L. Nayak, Prakash Tzelnick, Sharon Arkhangorodsky, Michelle Qiu, Jimmy Weersink, Robert Irish, Jonathan C. Ferguson, Peter Wunder, Jay S. JB JS Open Access Scientific Articles Computer-assisted surgery (CAS) can improve surgical precision in orthopaedic oncology. Accurate alignment of the patient’s imaging coordinates with the anatomy, known as registration, is one of the most challenging aspects of CAS and can be associated with substantial error. Using intraoperative, on-the-table, cone-beam computed tomography (CBCT), we performed a pilot clinical study to validate a method for automatic intraoperative registration. METHODS: Patients who were ≥18 years of age, had benign bone tumors, and underwent resection were prospectively enrolled. In addition to inserting a navigation tracking tool into the exposed bone adjacent to the surgical field, 2 custom plastic ULTEM tracking tools (UTTs) were attached to each patient’s skin adjacent to the tumor using an adhesive. These were automatically localized within the 3-dimensional CBCT volume to be used as image landmarks for registration, and the corresponding tracker landmarks were captured using an infrared camera. The main outcomes were the fiducial registration error (FRE) and the target registration error (TRE). The navigation time was recorded. RESULTS: Thirteen patients with benign tumors in the femur (n = 10), tibia (n = 2), and humerus (n = 1) underwent navigation-assisted resections. The mean values were 0.67 ± 0.15 mm (range, 0.47 to 0.97 mm) for FRE and 0.83 ± 0.51 mm (range, 0.42 to 2.28 mm) for TRE. Registration was successful in all cases. The mean time for CBCT imaging and tracker registration was 7.5 minutes. CONCLUSIONS: We present a novel automatic registration method for CAS exploiting intraoperative CBCT capabilities, which provided improved accuracy and reduced operative times compared with more traditional methods. CLINICAL RELEVANCE: This proof-of-principle study validated a novel process for automatic registration to improve the accuracy of resecting bone tumors using a surgical navigation system. Journal of Bone and Joint Surgery, Inc. 2022-05-05 /pmc/articles/PMC9071254/ /pubmed/35540727 http://dx.doi.org/10.2106/JBJS.OA.21.00140 Text en Copyright © 2022 The Authors. Published by The Journal of Bone and Joint Surgery, Incorporated. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Scientific Articles Sahovaler, Axel Daly, Michael J. Chan, Harley H.L. Nayak, Prakash Tzelnick, Sharon Arkhangorodsky, Michelle Qiu, Jimmy Weersink, Robert Irish, Jonathan C. Ferguson, Peter Wunder, Jay S. Automatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT |
title | Automatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT |
title_full | Automatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT |
title_fullStr | Automatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT |
title_full_unstemmed | Automatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT |
title_short | Automatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT |
title_sort | automatic registration and error color maps to improve accuracy for navigated bone tumor surgery using intraoperative cone-beam ct |
topic | Scientific Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071254/ https://www.ncbi.nlm.nih.gov/pubmed/35540727 http://dx.doi.org/10.2106/JBJS.OA.21.00140 |
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