Predicting Academic Career Placement via Development of Novel Intra-residency Metrics.

OBJECTIVE: Increasing centralization of high-level neurosurgical practice at academic centers has increased the need for academic neurosurgeons. The lack of systematic metrics-based analyses among neurosurgery trainees and the recent pass/fail U.S. Medical Licensing Examination system necessitates a multiparametric approach to assess academic success among trainees. METHODS: We conducted a comprehensive analysis of the University of Miami residency program using 2 data sets, one containing applicants' pre-residency metrics and a second containing trainees' intra-residency metrics. Intra-residency metrics were subjectively and anonymously assessed by faculty. Univariate and multivariate logistic regression analyses were performed to determine differences among academic and non-academic neurosurgeons and identify predictors of academic careers. RESULTS: Academic neurosurgeons had a significantly higher median Step 1 percentile relative to non-academic neurosurgeons (P = 0.015), and medical school ranking had no significant impact on career (P > 0.05). Among intra-residency metrics, academic neurosurgeons demonstrated higher mean rating of leadership skills (mean difference [MD] 0.46, P = 0.0011), technical skill (MD 0.42, P = 0.006), and other intra-residency metrics. Higher administrative and leadership skills were significantly associated with increased likelihood of pursuing an academic career (odds ratio [OR] 9.03, 95% CI [2.296 to 49.88], P = 0.0044). Clinical judgment and clinical knowledge were strongly associated with pursuit of an academic career (OR 9.33 and OR 9.32, respectively, with P = 0.0060 and P = 0.0010, respectively). CONCLUSIONS: Pre-residency metrics had little predictive value in determining academic careers. Furthermore, medical school ranking does not play a significant role in determining a career in academic neurosurgery. Intra-residency judgment appears to play a significant role in career placement, as academic neurosurgeons were rated consistently higher than their non-academic peers in multiple key parameters by their attending physicians.

Survival benefit of lobectomy for glioblastoma: moving towards radical supramaximal resection.

PURPOSE: Extent of resection remains a paramount prognostic factor for long-term outcomes for glioblastoma. As such, supramaximal resection or anatomic lobectomy have been offered for non-eloquent glioblastoma in an attempt to improve overall survival. Here, we conduct a propensity-matched analysis of patients with non-eloquent glioblastoma who underwent either lobectomy or gross total resection of lesion to investigate the efficacy of supramaximal resection of glioblastoma. METHODS: Patients who underwent initial surgery for gross total resection or lobectomy for non-eloquent glioblastoma at our tertiary care referral center from 2010 to 2019 were included for this propensity-matched survival analysis. Propensity scores were generated with the following covariates: age, location, preoperative KPS, product of perpendicular maximal tumor diameters, and product of perpendicular FLAIR signal diameters. Inverse probability of treatment weighting (IPTW) with generated propensity scores was used to compare progression-free survival and overall survival. RESULTS: Sixty-nine patients were identified who underwent initial resection of glioblastoma for non-eloquent glioblastoma from 2010 to 2019 (GTR = 37, lobectomy = 32). Using IPTW, overall survival (30.7 vs. 14.1 months) and progression-free survival (17.2 vs. 8.1 months were significantly higher in the lobectomy cohort compared to the GTR group (p < 0.001). There was no significant difference in pre-op or post-op KPS or complication rates between the two groups. CONCLUSION: Our propensity-matched study suggests that lobectomy for non-eloquent glioblastoma confers an added survival benefit compared to GTR alone. For patients with non-eloquent glioblastoma, a supramaximal resection by means of an anatomic lobectomy should be considered as a primary surgical treatment in select patients if feasible.

Radical Laser Interstitial Thermal Therapy Ablation Volumes Increase Progression-Free Survival in Biopsy-Proven Radiation Necrosis.

BACKGROUND: Treatment for surgically inaccessible medically refractory cerebral radiation necrosis (RN) has remained limited. Recently, laser interstitial thermal therapy (LITT) has gained traction as an effective means of treating these lesions but limited data are available regarding the effect of ablation size on patient outcome. Therefore, this study analyzed various outcome measures as a function of ablation volume/diameter for a series of 20 patients with surgically inaccessible biopsy-proven RN. METHODS: Twenty patients with biopsy-proven RN treated with LITT from 2013 to 2018 at our institution were retrospectively reviewed. Local progression-free survival (PFS), overall survival, and steroid dependence were analyzed with Kaplan-Meier and Cox regression analysis for ablation volume/diameter. Comparison of preoperative and postoperative Karnofsky Performance Status was conducted with a matched paired t test. RESULTS: Patients with subtotal ablation (<100% increase in pre-LITT lesion volume or <0 mm increase in pre-LITT lesion diameter) had higher risk of local disease progression (hazard ratio, 12.4; P = 0.004) compared with patients with total ablations. Patients who received radical ablations (>200% increase in pre-LITT lesion volume or >2 mm increase in pre-LITT lesion diameter) showed the most favorable PFS (P < 0.0458 and P < 0.0378, respectively). There was no difference in post-LITT Karnofsky Performance Status and time to steroid freedom between ablation groups. Overall survival increased with radical diametric ablation (P = 0.0401). CONCLUSIONS: Although LITT has proved to be an effective salvage therapy for patients with RN, detailed volumetric studies have not been explored. Our results suggest that radical ablations have the potential to increase PFS.

The Role of Laser Interstitial Thermal Therapy in Surgical Neuro-Oncology: Series of 100 Consecutive Patients.

BACKGROUND: Laser interstitial thermal therapy (LITT) is an adjuvant treatment for intracranial lesions that are treatment refractory or in deep or eloquent brain. Initial studies of LITT in surgical neuro-oncology are limited in size and follow-up. OBJECTIVE: To present our series of LITT in surgical neuro-oncology to better evaluate procedural safety and outcomes. METHODS: An exploratory cohort study of all patients receiving LITT for brain tumors by a single senior neurosurgeon at a single center between 2013 and 2018. Primary outcomes included extent of ablation (EOA), time to recurrence (TTR), local control at 1-yr follow-up, and overall survival (OS). Secondary outcomes included complication rate. Outcomes were compared by tumor subtype. Predictors of outcomes were identified. RESULTS: A total of 91 patients underwent 100 LITT procedures; 61% remain alive with 72% local control at median 7.2 mo follow-up. Median TTR and OS were 31.9 and 16.9 mo, respectively. For lesion subtypes, median TTR (months, not applicable [N/A] if <50% rate observed), local control rates at 1-yr follow-up, and median OS (months) were the following: dural-based lesions (n = 4, N/A, 75%, 20.7), metastases (n = 45, 55.9, 77.4%, 16.9), newly diagnosed glioblastoma (n = 11, 31.9, 83.3%, 32.3), recurrent glioblastoma (n = 14, 5.6, 24.3%, 7.3), radiation necrosis (n = 20, N/A, 67.2%, 16.4), and other lesions (n = 6, 12.3, 80%, 24.4). TTR differed by tumor subtype (P = .02, log-rank analysis). EOA predicted local control (P = .009, multivariate proportional hazards regression); EOA > 85% predicted longer TTR (P = .006, log-rank analysis). Complication rate was 4%. CONCLUSION: Our series of LITT in surgical neuro-oncology, 1 of the largest to date, further evidences its safety and outcomes profile.

Analysis of intra-operative variables as predictors of 30-day readmission in patients undergoing glioma surgery at a single center.

PURPOSE: Reducing the time from surgery to adjuvant chemoradiation, by decreasing unnecessary readmissions, is paramount for patients undergoing glioma surgery. The effects of intraoperative risk factors on 30-day readmission rates for such patients is currently unclear. We utilized a predictive model-driven approach to assess the impact of intraoperative factors on 30-day readmission rates for the cranial glioma patient. METHODS: Retrospectively, the intraoperative records of 290 patients who underwent glioma surgery at a single institution by a single surgeon were assessed. Data on operative variables including anesthesia specific factors were analyzed via univariate and stepwise regression analysis for impact on 30-day readmission rates. A predictive model was built to assess the capability of these results to predict readmission and validated using leave-one-out cross-validation. RESULTS: In multivariate analysis, end case hypothermia (OR 0.28, 95% CI [0.09, 0.84]), hypertensive time > 15 min (OR 2.85, 95% CI [1.21, 6.75]), and pre-operative Karnofsky performance status (KPS) (OR 0.63, 95% CI [0.41, 0.98] were identified as being significantly associated with 30-day readmission rates (chi-squared statistic vs. constant model 25.2, p < 0.001). Cross validation of the model resulted in an overall accuracy of 89.7%, a specificity of 99.6%, and area under the receiver operator curve (AUC) of 0.763. CONCLUSION: Intraoperative risk factors may help risk-stratify patients with a high degree of accuracy and improve postoperative patient follow-up. Attention should be paid to duration of hypertension and end-case final temperature as these represent potentially modifiable factors that appear to be highly associated with 30-day readmission rates. Prospective validation of our model is needed to assess its potential for implementation as a screening tool to identify patients undergoing glioma surgery who are at a higher risk of post-operative readmission within 30 days.