Endoscopic Endonasal Transtubercular Approach for Resection of Giant Pituitary Adenomas With Subarachnoid Extension: The "Second Floor" Strategy to Avoid Postoperative Apoplexy.

BACKGROUND: Giant pituitary adenomas (GPAs) with subarachnoid extension can be challenging to achieve a gross total resection through a single endonasal or transcranial approach, and any residual tumor is at risk for postoperative apoplexy. Intraoperative venous congestion of the suprasellar tumor can occur following resection of the sellar tumor, limiting tumor descent, and leading to suprasellar residual. We propose a technique for resecting the suprasellar component first, which we call the "second floor" strategy (SFS) for GPA. METHODS: A retrospective review of cases from 2010-2020 identified 586 endoscopic endonasal approaches (EEAs) for pituitary adenoma resection. We report the rate of postoperative apoplexy and describe the SFS technique used in 2 cases. RESULTS: Of 586 cases, 2 developed symptomatic postoperative apoplexy (0.3%), and a third transferred to our care after undergoing postoperative apoplexy. All 3 cases had subarachnoid extension of a pituitary adenoma, underwent EEA, and had residual suprasellar tumor. All 3 had permanent morbidity due to the postoperative apoplexy including blindness, stroke, or death, despite undergoing reoperation. The SFS was used for reoperation on 1 of these patients and as a primary strategy in a fourth patient who presented with a GPA with subarachnoid extension. We describe the SFS technique and demonstrate it with a 2-dimensional operative video. CONCLUSIONS: Postoperative apoplexy of residual adenoma is a rare but serious complication after GPA resection. The proposed SFS allows early access to the suprasellar tumor and may improve the ability to safely achieve a gross total resection without need for additional procedures.

Establishing a point-of-care additive manufacturing workflow for clinical use.

Additive manufacturing, or 3-Dimensional (3-D) Printing, is built with technology that utilizes layering techniques to build 3-D structures. Today, its use in medicine includes tissue and organ engineering, creation of prosthetics, the manufacturing of anatomical models for preoperative planning, education with high-fidelity simulations, and the production of surgical guides. Traditionally, these 3-D prints have been manufactured by commercial vendors. However, there are various limitations in the adaptability of these vendors to program-specific needs. Therefore, the implementation of a point-of-care in-house 3-D modeling and printing workflow that allows for customization of 3-D model production is desired. In this manuscript, we detail the process of additive manufacturing within the scope of medicine, focusing on the individual components to create a centralized in-house point-of-care manufacturing workflow. Finally, we highlight a myriad of clinical examples to demonstrate the impact that additive manufacturing brings to the field of medicine.

COVID-19 imaging: Diagnostic approaches, challenges, and evolving advances.

The role of radiology and the radiologist have evolved throughout the coronavirus disease-2019 (COVID-19) pandemic. Early on, chest computed tomography was used for screening and diagnosis of COVID-19; however, it is now indicated for high-risk patients, those with severe disease, or in areas where polymerase chain reaction testing is sparsely available. Chest radiography is now utilized mainly for monitoring disease progression in hospitalized patients showing signs of worsening clinical status. Additionally, many challenges at the operational level have been overcome within the field of radiology throughout the COVID-19 pandemic. The use of teleradiology and virtual care clinics greatly enhanced our ability to socially distance and both are likely to remain important mediums for diagnostic imaging delivery and patient care. Opportunities to better utilize of imaging for detection of extrapulmonary manifestations and complications of COVID-19 disease will continue to arise as a more detailed understanding of the pathophysiology of the virus continues to be uncovered and identification of predisposing risk factors for complication development continue to be better understood. Furthermore, unidentified advancements in areas such as standardized imaging reporting, point-of-care ultrasound, and artificial intelligence offer exciting discovery pathways that will inevitably lead to improved care for patients with COVID-19.