Faculty Bibliography

BACKGROUND AND OBJECTIVES/OBJECTIVE:Clinical registries are critical for modern surgery and underpin outcomes research, device monitoring, and trial development. However, existing approaches to registry construction are labor-intensive, costly, and prone to manual error. Natural language processing techniques combined with electronic health record (EHR) data sets can theoretically automate the construction and maintenance of registries. Our aim was to automate the generation of a spine surgery registry at an academic medical center using regular expression (regex) classifiers developed by neurosurgeons to combine domain expertise with interpretable algorithms. METHODS:We used a Hadoop data lake consisting of all the information generated by an academic medical center. Using this database and structured query language queries, we retrieved every operative note written in the department of neurosurgery since our transition to EHR. Notes were parsed using regex classifiers and compared with a random subset of 100 manually reviewed notes. RESULTS:A total of 31 502 operative cases were downloaded and processed using regex classifiers. The codebase required 5 days of development, 3 weeks of validation, and less than 1 hour for the software to generate the autoregistry. Regex classifiers had an average accuracy of 98.86% at identifying both spinal procedures and the relevant vertebral levels, and it correctly identified the entire list of defined surgical procedures in 89% of patients. We were able to identify patients who required additional operations within 30 days to monitor outcomes and quality metrics. CONCLUSION/CONCLUSIONS:This study demonstrates the feasibility of automatically generating a spine registry using the EHR and an interpretable, customizable natural language processing algorithm which may reduce pitfalls associated with manual registry development and facilitate rapid clinical research.

OBJECTIVE:Controlling length of stay (LOS) reduces rates of nosocomial infections and falls, facilitates earlier return to daily activities, and decreases strain on the healthcare system. Complications following supratentorial tumor resection present early in the postoperative period, thereby enhancing the prospect of safe, early discharge. Here, the authors describe their initial experience with the development and implementation of an Enhanced Recovery After Cranial Surgery (ERACS) pathway following resection of supratentorial tumors in select patients. METHODS:This was a nonrandomized, ambispective quality improvement study of patients undergoing elective craniotomy for supratentorial tumor resection at New York University Langone Health between November 17, 2020, and May 19, 2022. Eligible patients were prospectively enrolled in either the ERACS pathway or the standard pathway. These prospective cohorts were compared to a retrospective cohort of patients who met eligibility criteria for the pathway. Patients in the ERACS pathway cohort were targeted for discharge on postoperative day 2. The primary outcome metric was hospital LOS. Secondary outcome metrics included duration of intensive care unit (ICU) care and rates of 30-day emergency department visits, readmissions, and complications. RESULTS:Over the study period, 188 of 317 patients (59.3%) who underwent supratentorial tumor resection met inclusion criteria for ERACS pathway enrollment. Sixty-three patients were enrolled in the ERACS pathway, and 125 patients completed the standard pathway. The historical cohort consisted of 332 patients who would have been eligible for ERACS enrollment. Patients in the ERACS pathway cohort had a median LOS of 1.93 days compared with 2.92 and 2.88 days for patients in the standard pathway and historical cohort, respectively (p < 0.001). There was a significant reduction in ICU utilization in ERACS pathway patients (16.0 ± 6.53 vs 29.5 ± 53.0 vs 21.8 ± 18.2 hours, p = 0.005). There were no differences in the rates of 30-day emergency department visits (12.7% vs 9.6% vs 10.9%, p = 0.809) and readmissions (4.8% vs 4.0% vs 7.8%, p = 0.279) between groups. CONCLUSIONS:Patients in the ERACS pathway cohort experienced reduced LOS and ICU utilization, with similar rates of adverse outcomes compared to standard pathway patients. The authors' initial experience suggests that an accelerated recovery pathway can be safely implemented following supratentorial tumor resection in select patients.

BACKGROUND:Patients presenting with large brain metastases (LBM) pose a management challenge to the multidisciplinary neuro-oncologic team. Treatment options include surgery, whole-brain or large-field radiation therapy (WBRT), stereotactic radiosurgery (SRS), or a combination of these. OBJECTIVE:To determine if corticosteroid therapy followed by SRS allows for efficient minimally invasive care in patients with LBMs not compromised by mass effect. METHODS:We analyzed the change in tumor volume to determine the efficacy of single-session SRS in the treatment of LBM in comparison to other treatment modalities. Twenty-nine patients with systemic cancer and brain metastasis (≥ 2.7 cm in greatest diameter) who underwent single-session SRS were included. RESULTS:(range 1.56-25.31). The median margin dose was 16 Gy (range 12-18). The average percent decrease in tumor volume compared to pre-SRS volume was 55% on imaging at 1-2 months, 58% at 3-5 months, 64% at 6-8 months, and 57% at > 8 months. There were no adverse events immediately following SRS. Median corticosteroid use after SRS was 21 days. Median survival after radiosurgery was 15 months. CONCLUSION/CONCLUSIONS:Initial high-dose corticosteroid therapy followed by prompt single-stage SRS is a safe and efficacious method to manage patients with LBMs (defined as ≥ 2.7 cm).

BACKGROUND/UNASSIGNED:Central nervous system (CNS) cancer is the 10th leading cause of cancer-associated deaths for adults, but the leading cause in pediatric patients and young adults. The variety and complexity of histologic subtypes can lead to diagnostic errors. DNA methylation is an epigenetic modification that provides a tumor type-specific signature that can be used for diagnosis. METHODS/UNASSIGNED:We performed a prospective study using DNA methylation analysis as a primary diagnostic method for 1921 brain tumors. All tumors received a pathology diagnosis and profiling by whole genome DNA methylation, followed by next-generation DNA and RNA sequencing. Results were stratified by concordance between DNA methylation and histopathology, establishing diagnostic utility. RESULTS/UNASSIGNED:Of the 1602 cases with a World Health Organization histologic diagnosis, DNA methylation identified a diagnostic mismatch in 225 cases (14%), 78 cases (5%) did not classify with any class, and in an additional 110 (7%) cases DNA methylation confirmed the diagnosis and provided prognostic information. Of 319 cases carrying 195 different descriptive histologic diagnoses, DNA methylation provided a definitive diagnosis in 273 (86%) cases, separated them into 55 methylation classes, and changed the grading in 58 (18%) cases. CONCLUSIONS/UNASSIGNED:DNA methylation analysis is a robust method to diagnose primary CNS tumors, improving diagnostic accuracy, decreasing diagnostic errors and inconclusive diagnoses, and providing prognostic subclassification. This study provides a framework for inclusion of DNA methylation profiling as a primary molecular diagnostic test into professional guidelines for CNS tumors. The benefits include increased diagnostic accuracy, improved patient management, and refinements in clinical trial design.