Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial
Abstract Conventional navigation systems (CNS) in surgery require strong spatial cognitive abilities and hand-eye coordination. Augmented Reality Navigation Systems (ARNS) provide 3D guidance and may overcome these challenges, but their accuracy and efficiency compared to CNS have not been systemati...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-11-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-024-01314-2 |
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| _version_ | 1846171601558568960 |
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| author | Yao Li Sergey Drobinsky Paulina Becker Kunpeng Xie Myriam Lipprandt Christian Andreas Mueller Jan Egger Frank Hölzle Rainer Röhrig Klaus Radermacher Matías de la Fuente Behrus Puladi |
| author_facet | Yao Li Sergey Drobinsky Paulina Becker Kunpeng Xie Myriam Lipprandt Christian Andreas Mueller Jan Egger Frank Hölzle Rainer Röhrig Klaus Radermacher Matías de la Fuente Behrus Puladi |
| author_sort | Yao Li |
| collection | DOAJ |
| description | Abstract Conventional navigation systems (CNS) in surgery require strong spatial cognitive abilities and hand-eye coordination. Augmented Reality Navigation Systems (ARNS) provide 3D guidance and may overcome these challenges, but their accuracy and efficiency compared to CNS have not been systematically evaluated. In this randomized crossover study with 36 participants from different professional backgrounds (surgeons, students, engineers), drilling accuracy, time and perceived workload were evaluated using ARNS and CNS. For the first time, this study provides compelling evidence that ARNS and CNS have comparable accuracy in translational error. Differences in angle and depth error with ARNS were likely due to limited stereoscopic vision, hardware limitations, and design. Despite this, ARNS was preferred by most participants, including surgeons with prior navigation experience, and demonstrated a significantly better overall user experience. Depending on accuracy requirements, ARNS could serve as a viable alternative to CNS for guided drilling, with potential for future optimization. |
| format | Article |
| id | doaj-art-7219c0cf7fc4424eac2ed375c2123fe5 |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-7219c0cf7fc4424eac2ed375c2123fe52024-11-10T12:43:32ZengNature Portfolionpj Digital Medicine2398-63522024-11-017111310.1038/s41746-024-01314-2Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trialYao Li0Sergey Drobinsky1Paulina Becker2Kunpeng Xie3Myriam Lipprandt4Christian Andreas Mueller5Jan Egger6Frank Hölzle7Rainer Röhrig8Klaus Radermacher9Matías de la Fuente10Behrus Puladi11Department of Oral and Maxillofacial Surgery, University Hospital RWTH AachenChair of Medical Engineering, RWTH Aachen UniversityDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH AachenDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH AachenInstitute of Medical Informatics, University Hospital RWTH AachenDepartment of Neurosurgery, University Hospital RWTH AachenInstitute for Artificial Intelligence in Medicine, University Hospital Essen (AöR)Department of Oral and Maxillofacial Surgery, University Hospital RWTH AachenInstitute of Medical Informatics, University Hospital RWTH AachenChair of Medical Engineering, RWTH Aachen UniversityChair of Medical Engineering, RWTH Aachen UniversityDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH AachenAbstract Conventional navigation systems (CNS) in surgery require strong spatial cognitive abilities and hand-eye coordination. Augmented Reality Navigation Systems (ARNS) provide 3D guidance and may overcome these challenges, but their accuracy and efficiency compared to CNS have not been systematically evaluated. In this randomized crossover study with 36 participants from different professional backgrounds (surgeons, students, engineers), drilling accuracy, time and perceived workload were evaluated using ARNS and CNS. For the first time, this study provides compelling evidence that ARNS and CNS have comparable accuracy in translational error. Differences in angle and depth error with ARNS were likely due to limited stereoscopic vision, hardware limitations, and design. Despite this, ARNS was preferred by most participants, including surgeons with prior navigation experience, and demonstrated a significantly better overall user experience. Depending on accuracy requirements, ARNS could serve as a viable alternative to CNS for guided drilling, with potential for future optimization.https://doi.org/10.1038/s41746-024-01314-2 |
| spellingShingle | Yao Li Sergey Drobinsky Paulina Becker Kunpeng Xie Myriam Lipprandt Christian Andreas Mueller Jan Egger Frank Hölzle Rainer Röhrig Klaus Radermacher Matías de la Fuente Behrus Puladi Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial npj Digital Medicine |
| title | Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial |
| title_full | Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial |
| title_fullStr | Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial |
| title_full_unstemmed | Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial |
| title_short | Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial |
| title_sort | accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial |
| url | https://doi.org/10.1038/s41746-024-01314-2 |
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