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Objective Subependymomas are rare, indolent neoplasms that have been described in the brain and the spinal cord. The purpose of this study is to report the clinical and radiolographic features, and surgical outcomes of this entity. Methods Twenty-six patients with pathologically-verified subependymomas were treated from 1990 through 2009, with a mean follow-up of 39 months. The clinical and radiological records were reviewed and outcomes analyzed. Results There were 15 fourth ventricle tumors, 6 lateral ventricle tumors, and 5 spinal tumors. For the intracranial tumors, headaches, changes in vision, and difficulties with balance were the most common symptoms. Most tumors were heterogeneously enhancing and hypointense or isointense to gray matter on T1-imaging and hyperintense on T2-imaging. All patients with tumors in the fourth ventricle underwent a suboccipital craniotomy and seven patients received an additional C1 laminectomy. Patients with lateral ventricular tumors underwent craniotomy with primarily a transcallosal resection. Patients with spinal tumors underwent laminectomy with intramedullary tumor resection. All tumors were resected employing microsurgical techniques. Overall, six patients had a sub-total resection. No recurrence of tumor or symptoms was noted at last follow-up for any patient, suggesting that maximal safe resection is often sufficient to provide symptomatic relief. Three patients had long-term complications from surgery. Tumor location was not associated with age at presentation, resection achieved, or development of complications. Conclusions Subependymomas are indolent tumors that when symptomatic can present with cerebrospinal fluid (CSF) obstructive symptoms in the brain and myelopathy in the spinal cord. There is no one symptom diagnostic for subependymomas. Surgical treatment can provide long term tumor control.

Suspension of elective surgical care during COVID-19 will result in a large backlog of cataract surgeries in Medicare beneficiaries. It is necessary to start planning proactively to reduce the backlog.

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Study Design Phantom study Objective The aim of our study is to demonstrate in a proof-of-concept model whether the use of a marker less autonomous robotic controlled injection delivery system will increase accuracy in the lumbar spine. Methods Ideal transforaminal epidural injection trajectories (bilateral L2/3, L3/4, L4/5, L5/S1 and S1) were planned out on a virtual pre-operative planning software by 1 experienced provider. Twenty transforaminal epidural injections were administered in a lumbar spine phantom model, 10 using a freehand procedure, and 10 using a marker less autonomous spinal robotic system. Procedural accuracy, defined as the difference between pre-operative planning and actual post-operative needle tip distance (mm) and angular orientation (degrees), were assessed between the freehand and robotic procedures. Results Procedural accuracy for robotically placed transforaminal epidural injections was significantly higher with the difference in pre- and post-operative needle tip distance being 20.1 (±5.0) mm in the freehand procedure and 11.4 (±3.9) mm in the robotically placed procedure ( P < .001). Needle tip precision for the freehand technique was 15.6 mm (26.3 – 10.7) compared to 10.1 mm (16.3 – 6.1) for the robotic technique. Differences in needle angular orientation deviation were 5.6 (±3.3) degrees in the robotically placed procedure and 12.0 (±4.8) degrees in the freehand procedure ( P = .003). Conclusion The robotic system allowed for comparable placement of transforaminal epidural injections as a freehand technique by an experienced provider, with additional benefits of improved accuracy and precision.

Elective surgical suspension during the COVID-19 pandemic resulted in a sizeable surgical case backlog throughout the world. As we ramp back up, how do we decide which cases take priority? Potential future waves (or a future pandemic) may lead to additional surgical shutdown and subsequent reopening. Deciding which cases to prioritise in the face of limited health system capacity has emerged as a new challenge for healthcare leaders. Here we present an ethically grounded and operationally efficient surgical prioritisation framework for healthcare leaders and practitioners, drawing insights from decision analysis and organisational sciences.

Purpose: To analyze the impact of the pandemic on trends in cataract surgical volume in 2020 in a high-volume tertiary care academic center in North India. Methods: The monthly cataract surgical volume for a large, high-volume, tertiary care academic center in North India was obtained from January 2018 through December 2020. Based on historical trends, we used time-series forecasting, probability sensitivity analysis, and linear regression models to estimate what the expected monthly cataract volume should have been from March 2020 onward. Results: In 2020, we expected to perform 7500 cases (assuming historical trends) but performed only 2500 cases (33% of the expected volume). The remaining 5000 cases (67% cases) constituted the “fixed” backlog. Assuming the ramp-up in cataract surgical volume starts in January 2021, results of the Monte Carlo simulation revealed that for our system, it would take on average 5 months (May 2021) under the optimistic scenario and 10 months (October 2021) under the ambivalent scenario to reach pre-pandemic expected surgical volume. There would be a collective backlog of 5500 cases under the optimistic scenario (8.8 months’ worth of cases) and a collective backlog of 6900 cases under the ambivalent scenario (11 months’ worth of cases). Conclusion: An intuitive approach and out-of-the-box solutions are required by the government and private institutes’ collaborative efforts to help mitigate the disruptions caused by the pandemic and lessen the backlog without causing provider burnout.

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