Joshua Olexa, Chixiang Chen, Parth Rastogi, Charles Sansur, Maureen Rakovec, Jordan R Saadon, Jesse Stokum, Kevin T Kim, Steven K Yarmoska, Annie Trang, Tina Wang, Jacob Cherian, Mohammed Labib, Alex Ksendzovsky, Clifford T Solomon, Whitney Parker, Gary Schwartzbauer, Graeme F Woodworth
{"title":"快速、无标记、头戴式增强现实立体定向神经导航系统的临床验证。","authors":"Joshua Olexa, Chixiang Chen, Parth Rastogi, Charles Sansur, Maureen Rakovec, Jordan R Saadon, Jesse Stokum, Kevin T Kim, Steven K Yarmoska, Annie Trang, Tina Wang, Jacob Cherian, Mohammed Labib, Alex Ksendzovsky, Clifford T Solomon, Whitney Parker, Gary Schwartzbauer, Graeme F Woodworth","doi":"10.3171/2025.5.JNS243160","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Digital enhancement and visualization technologies, such as augmented reality (AR), are increasingly used in surgery. Rapid and accurate patient registration with minimal device confinements enables AR systems to increase efficiency, safety, and effectiveness, especially in urgent/emergency and/or bedside scenarios. The aim of this study was to quantitatively compare an AR headset-based neuronavigation system with a standard-of-care reference array-based neurosurgical stereotactic navigation system in a real-world setting.</p><p><strong>Methods: </strong>This clinical validation trial included adult patients undergoing cranial neurosurgery with stereotactic navigation at a single center from February 2024 to July 2024. Preoperative CT and MR images were acquired and used for construction of a 3D hologram model that included surface-based target fiducial markers for comparison. Preoperative images were stereotactically registered to the patient's head using standard techniques. The registration coordinates for the fiducial markers (control) and registration time were recorded. The AR system was then deployed to create a separate stereotactic registration to the same preoperative images. A second set of registration coordinates for the fiducial markers (experimental) were acquired using the AR system, and the time for this process was also recorded. The Wilcoxon signed-rank test was used to assess differences in registration time, and a linear mixed-effects model (LMM) was used to conduct equivalence testing of coordinates between the control and experimental data.</p><p><strong>Results: </strong>Twenty patients (mean age ± SD 50.05 ± 14.38 years) were included in the trial. The mean baseline validation error of the control system was 0.73 ± 0.29 mm (range 0-1.0 mm). Using the control system as ground truth, the mean registration accuracy of the AR system was 2.16 ± 0.12 mm. LMM equivalence testing, conducted with margins of 3 mm and 2.5 mm, demonstrated statistical equivalence between the ground truth and AR system coordinates (p < 0.001 and p < 0.003, respectively). The time required for patient model registration using the AR system was a mean of 45.98 ± 15.00 seconds, which was significantly shorter compared with the control system (228.86 ± 100.06 seconds, p < 0.001).</p><p><strong>Conclusions: </strong>The AR navigation system provided statistically similar registration accuracy and significantly faster patient model registration compared with the standard-of-care stereotactic neuronavigation system. AR navigation was accurate, fast, and had a minimal footprint, offering new opportunities to incorporate stereotaxis in low-resource, bedside, and urgent/emergency settings.</p>","PeriodicalId":16505,"journal":{"name":"Journal of neurosurgery","volume":" ","pages":"1-7"},"PeriodicalIF":3.6000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clinical validation of a rapid, markerless, headset-contained augmented reality stereotactic neuronavigation system.\",\"authors\":\"Joshua Olexa, Chixiang Chen, Parth Rastogi, Charles Sansur, Maureen Rakovec, Jordan R Saadon, Jesse Stokum, Kevin T Kim, Steven K Yarmoska, Annie Trang, Tina Wang, Jacob Cherian, Mohammed Labib, Alex Ksendzovsky, Clifford T Solomon, Whitney Parker, Gary Schwartzbauer, Graeme F Woodworth\",\"doi\":\"10.3171/2025.5.JNS243160\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Digital enhancement and visualization technologies, such as augmented reality (AR), are increasingly used in surgery. Rapid and accurate patient registration with minimal device confinements enables AR systems to increase efficiency, safety, and effectiveness, especially in urgent/emergency and/or bedside scenarios. The aim of this study was to quantitatively compare an AR headset-based neuronavigation system with a standard-of-care reference array-based neurosurgical stereotactic navigation system in a real-world setting.</p><p><strong>Methods: </strong>This clinical validation trial included adult patients undergoing cranial neurosurgery with stereotactic navigation at a single center from February 2024 to July 2024. Preoperative CT and MR images were acquired and used for construction of a 3D hologram model that included surface-based target fiducial markers for comparison. Preoperative images were stereotactically registered to the patient's head using standard techniques. The registration coordinates for the fiducial markers (control) and registration time were recorded. The AR system was then deployed to create a separate stereotactic registration to the same preoperative images. A second set of registration coordinates for the fiducial markers (experimental) were acquired using the AR system, and the time for this process was also recorded. The Wilcoxon signed-rank test was used to assess differences in registration time, and a linear mixed-effects model (LMM) was used to conduct equivalence testing of coordinates between the control and experimental data.</p><p><strong>Results: </strong>Twenty patients (mean age ± SD 50.05 ± 14.38 years) were included in the trial. The mean baseline validation error of the control system was 0.73 ± 0.29 mm (range 0-1.0 mm). Using the control system as ground truth, the mean registration accuracy of the AR system was 2.16 ± 0.12 mm. LMM equivalence testing, conducted with margins of 3 mm and 2.5 mm, demonstrated statistical equivalence between the ground truth and AR system coordinates (p < 0.001 and p < 0.003, respectively). The time required for patient model registration using the AR system was a mean of 45.98 ± 15.00 seconds, which was significantly shorter compared with the control system (228.86 ± 100.06 seconds, p < 0.001).</p><p><strong>Conclusions: </strong>The AR navigation system provided statistically similar registration accuracy and significantly faster patient model registration compared with the standard-of-care stereotactic neuronavigation system. AR navigation was accurate, fast, and had a minimal footprint, offering new opportunities to incorporate stereotaxis in low-resource, bedside, and urgent/emergency settings.</p>\",\"PeriodicalId\":16505,\"journal\":{\"name\":\"Journal of neurosurgery\",\"volume\":\" \",\"pages\":\"1-7\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of neurosurgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3171/2025.5.JNS243160\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of neurosurgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3171/2025.5.JNS243160","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Clinical validation of a rapid, markerless, headset-contained augmented reality stereotactic neuronavigation system.
Objective: Digital enhancement and visualization technologies, such as augmented reality (AR), are increasingly used in surgery. Rapid and accurate patient registration with minimal device confinements enables AR systems to increase efficiency, safety, and effectiveness, especially in urgent/emergency and/or bedside scenarios. The aim of this study was to quantitatively compare an AR headset-based neuronavigation system with a standard-of-care reference array-based neurosurgical stereotactic navigation system in a real-world setting.
Methods: This clinical validation trial included adult patients undergoing cranial neurosurgery with stereotactic navigation at a single center from February 2024 to July 2024. Preoperative CT and MR images were acquired and used for construction of a 3D hologram model that included surface-based target fiducial markers for comparison. Preoperative images were stereotactically registered to the patient's head using standard techniques. The registration coordinates for the fiducial markers (control) and registration time were recorded. The AR system was then deployed to create a separate stereotactic registration to the same preoperative images. A second set of registration coordinates for the fiducial markers (experimental) were acquired using the AR system, and the time for this process was also recorded. The Wilcoxon signed-rank test was used to assess differences in registration time, and a linear mixed-effects model (LMM) was used to conduct equivalence testing of coordinates between the control and experimental data.
Results: Twenty patients (mean age ± SD 50.05 ± 14.38 years) were included in the trial. The mean baseline validation error of the control system was 0.73 ± 0.29 mm (range 0-1.0 mm). Using the control system as ground truth, the mean registration accuracy of the AR system was 2.16 ± 0.12 mm. LMM equivalence testing, conducted with margins of 3 mm and 2.5 mm, demonstrated statistical equivalence between the ground truth and AR system coordinates (p < 0.001 and p < 0.003, respectively). The time required for patient model registration using the AR system was a mean of 45.98 ± 15.00 seconds, which was significantly shorter compared with the control system (228.86 ± 100.06 seconds, p < 0.001).
Conclusions: The AR navigation system provided statistically similar registration accuracy and significantly faster patient model registration compared with the standard-of-care stereotactic neuronavigation system. AR navigation was accurate, fast, and had a minimal footprint, offering new opportunities to incorporate stereotaxis in low-resource, bedside, and urgent/emergency settings.
期刊介绍:
The Journal of Neurosurgery, Journal of Neurosurgery: Spine, Journal of Neurosurgery: Pediatrics, and Neurosurgical Focus are devoted to the publication of original works relating primarily to neurosurgery, including studies in clinical neurophysiology, organic neurology, ophthalmology, radiology, pathology, and molecular biology. The Editors and Editorial Boards encourage submission of clinical and laboratory studies. Other manuscripts accepted for review include technical notes on instruments or equipment that are innovative or useful to clinicians and researchers in the field of neuroscience; papers describing unusual cases; manuscripts on historical persons or events related to neurosurgery; and in Neurosurgical Focus, occasional reviews. Letters to the Editor commenting on articles recently published in the Journal of Neurosurgery, Journal of Neurosurgery: Spine, and Journal of Neurosurgery: Pediatrics are welcome.