Shaurya Gupta
Sunnybrook Health Sciences Centre
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Featured researches published by Shaurya Gupta.
Canadian Journal of Neurological Sciences | 2017
Daipayan Guha; Naif M. Alotaibi; Nhu Nguyen; Shaurya Gupta; Christopher McFaul; Victor X. D. Yang
Augmented reality (AR) superimposes computer-generated virtual objects onto the users view of the real world. Among medical disciplines, neurosurgery has long been at the forefront of image-guided surgery, and it continues to push the frontiers of AR technology in the operating room. In this systematic review, we explore the history of AR in neurosurgery and examine the literature on current neurosurgical applications of AR. Significant challenges to surgical AR exist, including compounded sources of registration error, impaired depth perception, visual and tactile temporal asynchrony, and operator inattentional blindness. Nevertheless, the ability to accurately display multiple three-dimensional datasets congruently over the area where they are most useful, coupled with future advances in imaging, registration, display technology, and robotic actuation, portend a promising role for AR in the neurosurgical operating room.
The Spine Journal | 2017
Daipayan Guha; Raphael Jakubovic; Shaurya Gupta; Naif M. Alotaibi; David W. Cadotte; Leodante da Costa; Rajeesh George; Chris Heyn; Peter Howard; Anish Kapadia; Jesse M. Klostranec; Nicolas Phan; Gamaliel Tan; Todd G. Mainprize; Albert Yee; Victor X. D. Yang
BACKGROUND CONTEXT Spinal intraoperative computer-assisted navigation (CAN) may guide pedicle screw placement. Computer-assisted navigation techniques have been reported to reduce pedicle screw breach rates across all spinal levels. However, definitions of screw breach vary widely across studies, if reported at all. The absolute quantitative error of spinal navigation systems is theoretically a more precise and generalizable metric of navigation accuracy. It has also been computed variably and reported in less than a quarter of clinical studies of CAN-guided pedicle screw accuracy. PURPOSE This study aimed to characterize the correlation between clinical pedicle screw accuracy, based on postoperative imaging, and absolute quantitative navigation accuracy. DESIGN/SETTING This is a retrospective review of a prospectively collected cohort. PATIENT SAMPLE We recruited 30 patients undergoing first-time posterior cervical-thoracic-lumbar-sacral instrumented fusion±decompression, guided by intraoperative three-dimensional CAN. OUTCOME MEASURES Clinical or radiographic screw accuracy (Heary and 2 mm classifications) and absolute quantitative navigation accuracy (translational and angular error in axial and sagittal planes). METHODS We reviewed a prospectively collected series of 209 pedicle screws placed with CAN guidance. Each screw was graded clinically by multiple independent raters using the Heary and 2 mm classifications. Clinical grades were dichotomized per convention. The absolute accuracy of each screw was quantified by the translational and angular error in each of the axial and sagittal planes. RESULTS Acceptable screw accuracy was achieved for significantly fewer screws based on 2 mm grade versus Heary grade (92.6% vs. 95.1%, p=.036), particularly in the lumbar spine. Inter-rater agreement was good for the Heary classification and moderate for the 2 mm grade, significantly greater among radiologists than surgeon raters. Mean absolute translational-angular accuracies were 1.75 mm-3.13° and 1.20 mm-3.64° in the axial and sagittal planes, respectively. There was no correlation between clinical and absolute navigation accuracy. CONCLUSIONS Radiographic classifications of pedicle screw accuracy vary in sensitivity across spinal levels, as well as in inter-rater reliability. Correlation between clinical screw grade and absolute navigation accuracy is poor, as surgeons appear to compensate for navigation registration error. Future studies of navigation accuracy should report absolute translational and angular errors. Clinical screw grades based on postoperative imaging may be more reliable if performed in multiple by radiologist raters.
World Neurosurgery | 2017
Francesca Sarzetto; Shaurya Gupta; Naif M. Alotaibi; Peter Howard; Leodante da Costa; Chris Heyn; Pejman Jabehdar Maralani; Daipayan Guha; Richard H. Swartz; Karl Boyle; Victor X. D. Yang
BACKGROUND Endovascular thrombectomy is an effective procedure to treat selected ischemic strokes, as shown in recent randomized controlled trials (RCTs). The generalizability of these trial data to real-world settings, however, is unknown. The aim of this study was to examine our single-center experience with endovascular thrombectomy for acute ischemic strokes and perform a comparative outcome analysis to the most recent RCTs. METHODS We performed a 5-year retrospective analysis, from April 2011 to March 2016, on 66 consecutive patients with acute ischemic stroke who received endovascular thrombectomy at our institution. The Alberta Stroke Program Early CT Score (ASPECTS) and the National Institutes of Health Stroke Scale were used to assess preoperative status. Our primary outcomes were the modified Rankin Score (mRS) at 90 days and recanalization grade measured by the 6-point thrombolysis in cerebral infarction (TICI) grading system. RESULTS Sixty-six patients received endovascular treatment during the study period. Among the patients examined, 35 (53%) had a favorable outcome (mRS 0-2 at 90 days), 23 (35%) a poor outcome (mRS 3-5), and 8 (12%) died. Successful recanalization (TICI score 3-5) was achieved in 68% of cases. In univariate analysis, patients with good outcome at 90 days had significantly greater ASPECTS, lower National Institutes of Health Stroke Scale, and higher TICI scores. In a multiple logistic regression model, higher ASPECTS and TICI scores were significantly and independently associated with favorable outcome. CONCLUSIONS Excellent outcomes, as demonstrated by the recent RCTs, can be achieved in clinical practice and reproduced in dedicated tertiary centers.
Ultrasound in Medicine and Biology | 2018
Raphael Jakubovic; Joel Ramjist; Shaurya Gupta; Daipayan Guha; Arjun Sahgal; F. Stuart Foster; Victor X. D. Yang
High frequency micro-ultrasound (µUS) transducers with central frequencies up to 50 MHz facilitate dynamic visualization of patient anatomy with minimal disruption of the surgical work flow. Micro-ultrasound improves spatial resolution over conventional ultrasound imaging from millimeter to micrometer, but compromises depth penetration. This trade-off is sufficient during an open surgery in which the bone is removed and theultrasound probe can be placed into the surgical cavity. By fusing µUS with pre-operative imaging and tracking the ultrasound probe intra-operatively using our optical topographic imaging technology, we can provide dynamic feedback during surgery, thus affecting clinical decision making. We present our initial experience using high-frequency µUS imaging during spinal procedures. Micro-ultrasound images were obtained in five spinal procedures. Medical rationale for use of µUS was provided for each patient. Surgical procedures were performed using the standard clinical practice with bone removal to facilitate real-time ultrasound imaging of the soft tissue. During surgery, the µUS probe was registered to the pre-operative computed tomography and magnetic resonance images. Images obtained comprised five spinal decompression surgeries (four tumor resections, one cystic synovial mass). Micro-ultrasound images obtained during spine surgery delineated exquisite detailing of the spinal anatomy including white matter and gray matter tracts and nerve roots and allowed accurate assessment of the extent of decompression/tumor resection. In conclusion, tracked µUS enables real-time imaging of the surgical cavity, conferring significant qualitative improvement over conventional ultrasound.
Scientific Reports | 2018
Raphael Jakubovic; Daipayan Guha; Shaurya Gupta; Michael T. Lu; Jamil Jivraj; Beau A. Standish; Michael K. Leung; Adrian Mariampillai; Kenneth Lee; Peter Siegler; Patryk Skowron; Hamza Farooq; Nhu Nguyen; Joseph Alarcon; Ryan Deorajh; Joel Ramjist; Michael J. Ford; Peter Howard; Nicolas Phan; Leo da Costa; Chris Heyn; Gamaliel Tan; Rajeesh George; David W. Cadotte; Todd G. Mainprize; Albert Yee; Victor X. D. Yang
Intraoperative image-guided surgical navigation for craniospinal procedures has significantly improved accuracy by providing an avenue for the surgeon to visualize underlying internal structures corresponding to the exposed surface anatomy. Despite the obvious benefits of surgical navigation, surgeon adoption remains relatively low due to long setup and registration times, steep learning curves, and workflow disruptions. We introduce an experimental navigation system utilizing optical topographical imaging (OTI) to acquire the 3D surface anatomy of the surgical cavity, enabling visualization of internal structures relative to exposed surface anatomy from registered preoperative images. Our OTI approach includes near instantaneous and accurate optical measurement of >250,000 surface points, computed at >52,000 points-per-second for considerably faster patient registration than commercially available benchmark systems without compromising spatial accuracy. Our experience of 171 human craniospinal surgical procedures, demonstrated significant workflow improvement (41 s vs. 258 s and 794 s, p < 0.05) relative to benchmark navigation systems without compromising surgical accuracy. Our advancements provide the cornerstone for widespread adoption of image guidance technologies for faster and safer surgeries without intraoperative CT or MRI scans. This work represents a major workflow improvement for navigated craniospinal procedures with possible extension to other image-guided applications.
Global Spine Journal | 2018
Daipayan Guha; Raphael Jakubovic; Shaurya Gupta; Michael G. Fehlings; Todd G. Mainprize; Albert Yee; Victor X. D. Yang
Study Design: Prospective pre-clinical and clinical cohort study. Objectives: Current spinal navigation systems rely on a dynamic reference frame (DRF) for image-to-patient registration and tool tracking. Working distant to a DRF may generate inaccuracy. Here we quantitate predictors of navigation error as a function of distance from the registered vertebral level, and from intersegmental mobility due to surgical manipulation and patient respiration. Methods: Navigation errors from working distant to the registered level, and from surgical manipulation, were quantified in 4 human cadavers. The 3-dimensional (3D) position of a tracked tool tip at 0 to 5 levels from the DRF, and during targeting of pedicle screw tracts, was captured in real-time by an optical navigation system. Respiration-induced vertebral motion was quantified from 10 clinical cases of open posterior instrumentation. The 3D position of a custom spinous-process clamp was tracked over 12 respiratory cycles. Results: An increase in mean 3D navigation error of ≥2 mm was observed at ≥2 levels from the DRF in the cervical and lumbar spine. Mean ± SD displacement due to surgical manipulation was 1.55 ± 1.13 mm in 3D across all levels, ≥2 mm in 17.4%, 19.2%, and 38.5% of levels in the cervical, thoracic, and lumbar spine, respectively. Mean ± SD respiration-induced 3D motion was 1.96 ± 1.32 mm, greatest in the lower thoracic spine (P < .001). Tidal volume and positive end-expiratory pressure correlated positively with increased vertebral displacement. Conclusions: Vertebral motion is unaccounted for during image-guided surgery when performed at levels distant from the DRF. Navigating instrumentation within 2 levels of the DRF likely minimizes the risk of navigation error.
Proceedings of SPIE | 2017
Shaurya Gupta; Daipayan Guha; Raphael Jakubovic; Victor X. D. Yang
Computer-assisted navigation is used by surgeons in spine procedures to guide pedicle screws to improve placement accuracy and in some cases, to better visualize patient’s underlying anatomy. Intraoperative registration is performed to establish a correlation between patient’s anatomy and the pre/intra-operative image. Current algorithms rely on seeding points obtained directly from the exposed spinal surface to achieve clinically acceptable registration accuracy. Registration of these three dimensional surface point-clouds are prone to various systematic errors. The goal of this study was to evaluate the robustness of surgical navigation systems by looking at the relationship between the optical density of an acquired 3D point-cloud and the corresponding surgical navigation error. A retrospective review of a total of 48 registrations performed using an experimental structured light navigation system developed within our lab was conducted. For each registration, the number of points in the acquired point cloud was evaluated relative to whether the registration was acceptable, the corresponding system reported error and target registration error. It was demonstrated that the number of points in the point cloud neither correlates with the acceptance/rejection of a registration or the system reported error. However, a negative correlation was observed between the number of the points in the point-cloud and the corresponding sagittal angular error. Thus, system reported total registration points and accuracy are insufficient to gauge the accuracy of a navigation system and the operating surgeon must verify and validate registration based on anatomical landmarks prior to commencing surgery.
Proceedings of SPIE | 2017
Daipayan Guha; Raphael Jakubovic; Shaurya Gupta; Victor X. D. Yang
Computer-assisted navigation (CAN) may guide spinal surgeries, reliably reducing screw breach rates. Definitions of screw breach, if reported, vary widely across studies. Absolute quantitative error is theoretically a more precise and generalizable metric of navigation accuracy, but has been computed variably and reported in fewer than 25% of clinical studies of CAN-guided pedicle screw accuracy. We reviewed a prospectively-collected series of 209 pedicle screws placed with CAN guidance to characterize the correlation between clinical pedicle screw accuracy, based on postoperative imaging, and absolute quantitative navigation accuracy. We found that acceptable screw accuracy was achieved for significantly fewer screws based on 2mm grade vs. Heary grade, particularly in the lumbar spine. Inter-rater agreement was good for the Heary classification and moderate for the 2mm grade, significantly greater among radiologists than surgeon raters. Mean absolute translational/angular accuracies were 1.75mm/3.13° and 1.20mm/3.64° in the axial and sagittal planes, respectively. There was no correlation between clinical and absolute navigation accuracy, in part because surgeons appear to compensate for perceived translational navigation error by adjusting screw medialization angle. Future studies of navigation accuracy should therefore report absolute translational and angular errors. Clinical screw grades based on post-operative imaging, if reported, may be more reliable if performed in multiple by radiologist raters.
World Neurosurgery | 2017
Naif M. Alotaibi; Francesca Sarzetto; Daipayan Guha; Michael T. Lu; Andre Bodo; Shaurya Gupta; Erin Dyer; Peter Howard; Leodante da Costa; Richard H. Swartz; Karl Boyle; Avery B. Nathens; Victor X. D. Yang
The Spine Journal | 2017
Daipayan Guha; Shaurya Gupta; Victor X. D. Yang