Analysis of the Sonopet Ultrasonic Bone Aspirator to Traditional Instrumentation for Endoscopic Suturectomy for Craniosynostosis.

OBJECTIVE: The goal of endoscopic treatment for craniosynostosis is to remove the fused suture and achieve calvarial remodeling with external orthosis. To reduce the need for secondary surgery and to minimize blood loss, instruments that maximize bone removal while minimizing blood loss and risk of dural injury are evolving. The authors therefore assess the safety and efficacy of the Sonopet Ultrasonic Bone Aspirator (UBA) (Stryker, Kalamazoo, MI) for endoscopic suturectomy compared to traditional instrumentation at our institution. METHODS: Retrospective chart review of consecutive endoscopic suturectomies performed from 2011 to 2019 at Weill Cornell Medical Center was conducted, including demographics, cephalic index, surgical indications, operative time, cosmetic and functional results, complications, estimated blood loss (EBL), re-operation rate, length of stay, and length of helmet therapy. These variables were then compared between the Sonopet and non-Sonopet cohorts. RESULTS: Of the 60 patients who underwent endoscopic suturectomy, 16 cases (26.7%) utilized the Sonopet. Mean operative time was 2.8 ±â€Š0.4 hours in the Sonopet group, compared to 3.2 ±â€Š1.2 hours (P = 0.05) without the Sonopet. EBL was 17.8 ±â€Š23.9 cc versus 34.7 ±â€Š75.5 cc (P = 0.20) with versus without the Sonopet respectively. Length of stay and duration of helmet therapy were similar in both groups, ranging from 1 to 3 days (P = 0.68) and 7.25 to 12 months (P = 0.30) respectively. There were no reoperations in the Sonopet group with a mean follow up of 9.18 months. There were 3 reoperations in the non-Sonopet group with a mean follow up of 11.3 months. Among the cases utilizing the Sonopet, 13 (81%) were metopic and three (19%) were coronal synostoses. Of the non-Sonopet cases, 27 (61%) were sagittal, 8 (18%) were metopic, 7 (16%) were coronal, and 2 (5%) were lambdoid synostoses. CONCLUSIONS: The use of the Sonopet resulted in a mean decrease in operative time at our institution (P = 0.18). Lower EBL and reoperation rates with comparable LOS and helmet therapy duration were also seen. This modality should be considered a safe and effective adjunct in appropriate endoscopic craniosynostosis cases.

Impact of a Multidisciplinary Craniofacial Clinic for Patients With Craniofacial Syndromes on Patient Satisfaction and Outcome.

OBJECTIVE: Multidisciplinary clinics are becoming widely utilized. Given the number of patients with craniofacial syndromes evaluated at our institution, and the burden of assessment by multiple subspecialists, we created an American Cleft Palate-Craniofacial Association-certified Craniofacial Multidisciplinary Clinic (CMC) composed of a nurse practitioner, neurosurgeon, plastic surgeon, otolaryngologist, oromaxillofacial surgeon, geneticist, pulmonologist, occupational therapist, dentist, and child life specialist to improve patient experience, lessen the burden of assessment, decrease time to surgery, and improve patients' understanding of the diagnosis and treatment plan specifically for patients with complex craniofacial syndromes. We reviewed the impact of this clinic after 1 year of implementation. DESIGN: Retrospective review was performed to identify patients with craniofacial syndromic diagnoses seen by the neurosurgery department before and after implementation of the CMC from February 2017 to present. SETTING: The CMC is an outpatient clinic based in a tertiary care academic institution. PATIENTS: Chart review was performed to identify demographic, diagnostic, clinical, and treatment data. We assessed clinic experience, and the impact on quality of clinical and surgical care was assessed via survey. We compared this cohort to patients with similar craniofacial syndromes treated prior to the CMC. Thirty patients seen at the CMC were identified, and data from a comparable cohort of 30 patients seen prior to the clinic's inception was reviewed. RESULTS: Our CMC survey response rate was 67% (n = 20/30) for the CMC patients. Second opinions sought by parents prior to CMC was higher (mean = 0.85, range: 0-3) than for patients seen at the CMC (mean = 0.16, range: 0-1). Mean time to surgery before the CMC was 10.1 months (range: 1-15) compared to 4 months (range: 3-5) after implementation. Parents agreed that they felt well-informed about their diagnosis (n = 18/20, 90%), and that the presence of a plastic surgeon (19/20, 95%) and a nurse practitioner (17/20, 85%) were valuable in coordination of their care. Following surgery, 76% (n = 13/17) of patients who received surgery were happy with the outcome, 76% (n = 13/17) were happy with the appearance of the scar, and 95% (n = 19/20) would recommend the CMC to others. CONCLUSION: Multidisciplinary evaluation of patients with complex craniofacial conditions provides comprehensive, efficient, and effective care, as well as improved parent satisfaction and knowledge base.

The history of Bellevue Neurosurgery: a legacy of learning, discovery, and service.

The authors present a historical overview of NYU-Bellevue Neurosurgery, highlighting key events and influential faculty. Bellevue Hospital, the first public hospital in the US, was established in 1736 and has grown via its affiliation with New York University (now NYU Langone Health) from 1898 to the present. It maintains a strong commitment to serving disadvantaged populations of New York City and beyond. NYU-Bellevue Neurosurgery began as a department in 1951 under Dr. Thomas Hoen and has since fostered notable faculty and graduates while contributing to the development of clinical neuroscience.

Learning Curve of Robotic End-to-Side Microanastomoses.

BACKGROUND AND OBJECTIVES: Robotics are becoming increasingly widespread within various neurosurgical subspecialties, but data pertaining to their feasibility in vascular neurosurgery are limited. We present our novel attempt to evaluate the learning curve of a robotic platform for microvascular anastomoses. METHODS: One hundred and sixty one sutures were performed and assessed. Fourteen anastomoses (10 robotic [MUSA-2 Microsurgical system; Microsure] and 4 hand-sewn) were performed by the senior author on 1.5-mm caliber tubes and recorded with the Kinevo 900 (Zeiss) operative microscope. We separately compared interrupted sutures (from needle insertion until third knot) and running sutures (from needle insertion until loop pull-down). Average suture timing across all groups was compared using an unpaired Student's t test. Exponential smoothing (α = 0.2) was then applied to the robotic data sets for validation and a second set of t tests were performed. RESULTS: We compared 107 robotic sutures with 54 hand-sewn sutures. There was a significant difference between the average time/stitch for the robotic running sutures (n = 55) and the hand-sewn running sutures (n = 31) (31.2 seconds vs 48.3 seconds, respectively; P-value = .00052). Exponential smoothing (α = 0.2) reinforced these results (37.6 seconds vs 48.3 seconds; P-value = .014625). Average robotic running times surpassed hand-sewn by the second anastomosis (38.8 seconds vs 48.3 seconds) and continued to steadily decrease with subsequent stitches. The average of the robotic interrupted sutures (n = 52) was significantly longer than the hand-sewn (n = 23) (171.3 seconds vs 70 seconds; P = .000024). Exponential smoothing (α = 0.2) yielded similar results (196.7 seconds vs 70 seconds; P = .00001). However, average robotic interrupted times significantly decreased from the first to the final anastomosis (286 seconds vs 105.2 seconds; P = .003674). CONCLUSION: Our results indicate the learning curve for robotic microanastomoses is short and encouraging. The use of robotics warrants further study for potential use in cerebrovascular bypass procedures.

Assessing superficial temporal artery-middle cerebral artery anastomosis patency using FLOW 800 hemodynamics.

OBJECTIVE: The objective of this study was to investigate the use of indocyanine green videoangiography with FLOW 800 hemodynamic parameters intraoperatively during superficial temporal artery-middle cerebral artery (STA-MCA) bypass surgery to predict patency prior to anastomosis performance. METHODS: A retrospective and exploratory data analysis was conducted using FLOW 800 software prior to anastomosis to assess four regions of interest (ROIs; proximal and distal recipients and adjacent and remote gyri) for four hemodynamic parameters (speed, delay, rise time, and time to peak). Medical records were used to classify patients into flow and no-flow groups based on immediate or perioperative anastomosis patency. Hemodynamic parameters were compared using univariate and multivariate analyses. Principal component analysis was used to identify high risk of no flow (HRnf) and low risk of no flow (LRnf) groups, correlated with prospective angiographic follow-ups. Machine learning models were fitted to predict patency using FLOW 800 features, and the a posteriori effect of complication risk of those features was computed. RESULTS: A total of 39 cases underwent STA-MCA bypass surgery with complete FLOW 800 data collection. Thirty-five cases demonstrated flow after anastomosis revascularization and were compared with 4 cases with no flow after revascularization. Proximal and distal recipient speeds were significantly different between the no-flow and flow groups (proximal: 238.3 ± 120.8 and 138.5 ± 93.6, respectively [p < 0.001]; distal: 241.0 ± 117.0 and 142.1 ± 103.8, respectively [p < 0.05]). Based on principal component analysis, the HRnf group (n = 10) was characterized by high-flow speed (> 75th percentile) in all ROIs, whereas the LRnf group (n = 10) had contrasting patterns. In prospective long-term follow-up, 6 of 9 cases in the HRnf group, including the original no-flow cases, had no or low flow, whereas 8 of 8 cases in the LRnf group maintained robust flow. Machine learning models predicted patency failure with a mean F1 score of 0.930 and consistently relied on proximal recipient speed as the most important feature. Computation of posterior likelihood showed a 95.29% chance of patients having long-term patency given a lower proximal speed. CONCLUSIONS: These results suggest that a high proximal speed measured in the recipient vessel prior to anastomosis can elevate the risk of perioperative no flow and long-term reduction of flow. With an increased dataset size, continued FLOW 800-based ROI metric analysis could be used to guide intraoperative anastomosis site selection prior to anastomosis and predict patency outcome.