Use of tubular retractors to access deep brain lesions: A case series.

BACKGROUND: Deep-seated intracranial lesions can be accessed using blade retractors that may disrupt white matter tracts, exert pressure on adjacent tissue, and lead to post-operative venous injury. Tubular retractors may minimize disruption to white matter tracts by radially dispersing pressure onto surrounding tissue. This study characterizes perioperative outcomes in patients undergoing biopsy or resection of intracranial pathologies using tubular retractors. METHODS: Adult patients (≥18 years) undergoing neurosurgical intervention using tubular retractors at a single health system (January 2016-February 2022) were identified through chart review. Demographics, disease characteristics, management data, and clinical outcomes were collected. RESULTS: A total of 49 patients were included; 23 (47%) had primary brain tumors, 8 (16%) metastases, 6 (12%) intracranial hemorrhage (ICH), 5 (10%) cavernomas, and 7 (14%) other pathologies. Lesions were located subcortically (n = 19, 39%), intraventricularly (n = 15, 31%), and in deep gray matter (n = 11, 22%). Gross total resection (GTR) or near GTR was achieved in 21 of 26 (80.8%) patients with intracranial lesions where GTR was the goal of surgery; 10 of 11 (90.9%) biopsies in patients with masses were diagnostic. Five of six (83.3%) ICHs were totally or near totally evacuated. Seventeen patients (35%) had major complications post-operatively. The most common complications were DVT/PE (n = 7, 14%) and seizures (n = 6, 12%). For patients who experienced post-operative seizures, 3 had seizures preoperatively and 1 had seizures in the context of electrolyte derangements. No patients died of post-operative complications. CONCLUSION: This operative approach may facilitate safe and efficacious biopsy or resection of deep-seated intracranial pathologies.

Retrospective Review of Surgical Site Infections after Endoscopic Endonasal Sellar and Parasellar Surgery: Multicenter Quality Data from the North American Skull Base Society.

Introduction Transnasal access to the anterior skull base provides a minimally invasive approach for sellar and parasellar masses compared with its open counterparts. The unique microbiome of the sinonasal mucosa provides distinct challenges not encountered with other cranial approaches. The use of antibiotics in these cases has not been standardized, and data remain scarce regarding infectious outcomes. Methods We conducted a multicenter retrospective analysis of shared quality data points for the endoscopic endonasal approach (EEA) for pituitary adenomas, along with other sellar and parasellar region masses that were included by participating institutions. Patient and operative characteristics, perioperative and postoperative antibiotic regimens and their durations, intraoperative and postoperative cerebrospinal fluid leak, and onset of postoperative meningitis and sinusitis were compared. Results Fifteen institutions participated and provided 6 consecutive months' worth of case data. Five hundred ninety-three cases were included in the study, of which 564 were pituitary adenomectomies. The incidences of postoperative meningitis and sinusitis were low (0.67 and 2.87% for all pathologies, respectively; 0.35% meningitis for pituitary adenomas) and did not correlate with any specific antibiotic regimen. Immunocompromised status posed an increased odds of meningitis in pituitary adenomectomies (28.6, 95% confidence interval [1.72-474.4]). Conclusions The results show no clear benefit to postoperative antimicrobial use in EEA, with further larger studies needed.

Predictors of Academic Neurosurgical Career Trajectory among International Medical Graduates Training Within the United States.

BACKGROUND: Within the literature, there has been limited research tracking the career trajectories of international medical graduates (IMGs) following residency training. OBJECTIVE: To compare the characteristics of IMG and US medical school graduate (USMG) neurosurgeons holding academic positions in the United States and also analyze factors that influence IMG career trajectories following US-based residency training. METHODS: We collected data on 243 IMGs and 2506 USMGs who graduated from Accreditation Council for Graduate Medical Education (ACGME)-accredited neurosurgery residency programs. We assessed for significant differences between cohorts, and a logistic regression model was used for the outcome of academic career trajectory. RESULTS: Among the 2749 neurosurgeons in our study, IMGs were more likely to pursue academic neurosurgery careers relative to USMGs (59.7% vs 51.1%; P = .011) and were also more likely to complete a research fellowship before beginning residency (odds ratio [OR] = 9.19; P < .0001). Among current US academic neurosurgeons, USMGs had significantly higher pre-residency h-indices relative to IMGs (1.23 vs 1.01; P < .0001) with no significant differences between cohorts when comparing h-indices during (USMG = 5.02, IMG = 4.80; P = .67) or after (USMG = 14.05, IMG = 13.90; P = .72) residency. Completion of a post-residency clinical fellowship was the only factor independently associated with an academic career trajectory among IMGs (OR = 1.73, P = .046). CONCLUSION: Our study suggests that while IMGs begin their US residency training with different research backgrounds and achievements relative to USMG counterparts, they attain similar levels of academic productivity following residency. Furthermore, IMGs are more likely to pursue academic careers relative to USMGs. Our work may be useful for better understanding IMG career trajectories following US-based neurosurgery residency training.

An Online Calculator for Predicting Academic Career Trajectory in Neurosurgery in the United States.

OBJECTIVE: Determining factors that predict a career in academic neurosurgery can help to improve neurosurgical training and faculty mentoring efforts. Although many academic career predictors have been established in the literature, no method has yet been developed to allow for individualized predictions of an academic career trajectory. The objective of the present study was to develop a Web-based calculator for predicting the probability of a career in academic neurosurgery. METHODS: The present study used data from neurosurgeons listed in the American Association of Neurological Surgeons database. A logistic regression model was used to predict probability of an academic career, and bootstrapping with 2000 samples was used to calculate an optimism-corrected C-statistic. P < 0.05 was considered statistically significant. RESULTS: A total of 1818 neurosurgeons were included in our analysis. Most surgeons were male (89.7%) and employed in nonacademic positions (60.2%). Factors independently associated with an academic career were female sex, attending a residency program affiliated with a top 10 U.S. News medical school, attaining a Doctor of Philosophy (PhD) degree, attaining a Master of Science (MS) degree, higher h-index during residency, more months of protected research time during residency, and completing a clinical fellowship. Our final model had an optimism-corrected C-statistic of 0.74. This model was incorporated into a Web-based calculator (https://neurooncsurgery.shinyapps.io/academic_calculator/). CONCLUSIONS: The present study consolidates previous research investigating neurosurgery career predictors into a simple, open-access tool. Our work may serve to better clarify the many factors influencing trainees' likelihood of pursuing a career in academic neurosurgery.