Effect of the enhanced recovery protocol in patients with brain tumors undergoing elective craniotomies: a systematic review and meta-analysis.

OBJECTIVE: Enhanced recovery after surgery, or the enhanced recovery protocol (ERP), introduces a contemporary concept for perioperative care within neurosurgery. In recent years, mounting evidence has highlighted the significant impact of this approach on brain tumor surgery. The authors conducted a systematic review and meta-analysis of current publications, with a primary focus on assessing the efficiency and safety of implementing ERP in the management of patients undergoing elective craniotomies for brain tumor resection. METHODS: This study followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and was registered in the PROSPERO database. A comprehensive search of the MEDLINE, Cochrane, Scopus, and Embase databases was performed, and two independent reviewers extracted the data, assessed bias, and resolved disagreements through discussion. Primary outcomes included hospital length of stay (LOS) and hospitalization cost. The secondary outcomes were complications, including death, reoperation, readmission, intracerebral hemorrhage, CNS infection, and deep vein thrombosis. A random-effects model was used to evaluate the effects of implementing the ERP using the mean difference (MD) for primary outcomes. Heterogeneity was assessed using I2 statistics, and statistical significance was defined as p < 0.05. RESULTS: Eight studies, including 3 randomized controlled trials, 3 prospective studies, and 2 retrospective studies, were included in this meta-analysis. The ERP group had significantly shorter LOS (MD -2.69, 95% CI -3.65 to -1.73; p < 0.00001, I2 = 87%) and lower hospitalization cost (MD -$1188 [US dollars] 95% CI -$1726 to -$650; p = 0.0008, I2 = 71%) than the non-ERP group. There were no significant differences in the incidence of perioperative complications between the two groups. CONCLUSIONS: This study demonstrated the effectiveness of the ERP in improving postoperative outcomes for patients undergoing elective craniotomies for brain tumors. This protocol has demonstrated the ability to reduce hospital stays and costs while maintaining a low complication rate. However, the study acknowledges the presence of clinical and statistical heterogeneity among the included articles, limiting the scope of its conclusions. Further high-quality comparative studies are necessary to substantiate these findings and establish their reliability.

Traumatic cerebrovascular injury: Prevalence and risk factors.

BACKGROUND: Traumatic cerebrovascular injury (TCVI) is uncommon in traumatic brain injury (TBI). Although TCVI is a rare condition, this complication is serious. A missed or delayed diagnosis may lead to an unexpected life-threatening hemorrhagic event or persistent neurological deficit. The object of this study was to determine the prevalence and risk factors associated with TCVI. METHODS: The authors retrospectively reviewed medical records and neuroimaging studies of 5178 patients with TBI. The association of various factors was investigated using time-to-event statistical analysis. A TCVI which resulted in an occlusion, arteriovenous fistula, pseudoaneurysm or cerebral artery transection was defined as an event. RESULTS: Forty-two patients developed a TCVI after injuries with an overall prevalence of 0.8%. The risk factors for an intracranial arterial injury based on univariate analysis using the Cox proportional hazard regression were penetrating injury, severe head injury, orbitofacial injury, basilar skull fracture, subdural hematoma, and cerebral contusion. In multivariable analysis, the two variables that were independently associated with TCVI were basilar skull fracture (odds ratio [OR] 22.1, 95% confidence interval [CI] 11.5-42.2) followed by orbitofacial fracture (OR 13.6, 95% CI 6.8-27.3). CONCLUSIONS: Although TCVI is a rare complication of TBI, early investigation in high-risk patients may be necessary for early treatment before an unexpected fatal event occurs.

Machine learning applications for the prediction of surgical site infection in neurological operations.

OBJECTIVE: Surgical site infection (SSI) following a neurosurgical operation is a complication that impacts morbidity, mortality, and economics. Currently, machine learning (ML) algorithms are used for outcome prediction in various neurosurgical aspects. The implementation of ML algorithms to learn from medical data may help in obtaining prognostic information on diseases, especially SSIs. The purpose of this study was to compare the performance of various ML models for predicting surgical infection after neurosurgical operations. METHODS: A retrospective cohort study was conducted on patients who had undergone neurosurgical operations at tertiary care hospitals between 2010 and 2017. Supervised ML algorithms, which included decision tree, naive Bayes with Laplace correction, k-nearest neighbors, and artificial neural networks, were trained and tested as binary classifiers (infection or no infection). To evaluate the ML models from the testing data set, their sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), as well as their accuracy, receiver operating characteristic curve, and area under the receiver operating characteristic curve (AUC) were analyzed. RESULTS: Data were available for 1471 patients in the study period. The SSI rate was 4.6%, and the type of SSI was superficial, deep, and organ/space in 1.2%, 0.8%, and 2.6% of cases, respectively. Using the backward stepwise method, the authors determined that the significant predictors of SSI in the multivariable Cox regression analysis were postoperative CSF leakage/subgaleal collection (HR 4.24, p < 0.001) and postoperative fever (HR 1.67, p = 0.04). Compared with other ML algorithms, the naive Bayes had the highest performance with sensitivity at 63%, specificity at 87%, PPV at 29%, NPV at 96%, and AUC at 76%. CONCLUSIONS: The naive Bayes algorithm is highlighted as an accurate ML method for predicting SSI after neurosurgical operations because of its reasonable accuracy. Thus, it can be used to effectively predict SSI in individual neurosurgical patients. Therefore, close monitoring and allocation of treatment strategies can be informed by ML predictions in general practice.

Traumatic cerebrovascular injury: clinical characteristics and illustrative cases.

OBJECTIVE: Traumatic cerebrovascular injury (TCVI) is a rare and serious complication of traumatic brain injury (TBI). Various forms of TCVIs have been reported, including occlusions, arteriovenous fistulas, pseudoaneurysms, and transections. They can present at a variety of intervals after TBI and may manifest as sudden episodes, progressive symptoms, and even delayed fatal events. The purpose of this study was to analyze cases of TCVI identified at a single institution and further explore types and characteristics of these complications of TBI in order to improve recognition and treatment of these injuries. METHODS: The authors performed a retrospective review of cases of TCVI identified at their institution between 2013 and 2016. A total of 5178 patients presented with TBI during this time period, and 42 of these patients qualified for a diagnosis of TCVI and had adequate medical and imaging records for analysis. Data from their cases were analyzed, and 3 illustrative cases are presented in detail. RESULTS: The most common type of TCVI was arteriovenous fistula (86.4%), followed by pseudoaneurysm (11.9%), occlusion (2.4%), and transection (2.4%). The mortality rate of patients with TCVI was 7.1%. CONCLUSIONS: The authors describe the clinical characteristics of patients with TCVI and provide data from a series of 42 cases. It is important to recognize TCVI in order to facilitate early diagnosis and treatment.

Usefulness of Robotic Stereotactic Assistance (ROSA®) Device for Stereoelectroencephalography Electrode Implantation: A Systematic Review and Meta-analysis.

The aim of this study was to systematically review and meta-analyze the efficiency and safety of using the Robotic Stereotactic Assistance (ROSA®) device (Zimmer Biomet; Warsaw, IN, USA) for stereoelectroencephalography (SEEG) electrode implantation in patients with drug-resistant epilepsy. Based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a literature search was carried out. Overall, 855 nonduplicate relevant articles were determined, and 15 of them were selected for analysis. The benefits of the ROSA® device use in terms of electrode placement accuracy, as well as operative time length, perioperative complications, and seizure outcomes, were evaluated. Studies that were included reported on a total of 11,257 SEEG electrode implantations. The limited number of comparative studies hindered the comprehensive evaluation of the electrode implantation accuracy. Compared with frame-based or navigation-assisted techniques, ROSA®-assisted SEEG electrode implantation provided significant benefits for reduction of both overall operative time (mean difference [MD], -63.45 min; 95% confidence interval [CI] from -88.73 to -38.17 min; P < 0.00001) and operative time per implanted electrode (MD, -8.79 min; 95% CI from -14.37 to -3.21 min; P = 0.002). No significant differences existed in perioperative complications and seizure outcomes after the application of the ROSA® device and other techniques for electrode implantation. To conclude, the available evidence shows that the ROSA® device is an effective and safe surgical tool for trajectory-guided SEEG electrode implantation in patients with drug-resistant epilepsy, offering benefits for saving operative time and neither increasing the risk of perioperative complications nor negatively impacting seizure outcomes.

Cost-effectiveness and efficacy of scalp block for elective supratentorial craniotomy in resource-limited settings: A randomized controlled trial.

Background: Remifentanil is favored for neurosurgical pain management, but its utilization in low- and middle-income countries (LMICs) is limited. Scalp block techniques are effective in LMICs, but cost-effectiveness is uncertain. This study compares costs and perioperative outcomes of scalp block versus fentanyl infusion in patients undergoing elective supratentorial craniotomy. Methods: A prospective double-blind randomized controlled trial was conducted with 36 patients aged 18- 65 years undergoing elective supratentorial craniotomy. Patients were randomly assigned to receive either scalp block with 0.5% bupivacaine (Group S) or fentanyl infusion (Group F), with normal saline placebo administered in both groups. The primary endpoint was the anesthetic costs, with secondary endpoints including perioperative opioid consumption, intraoperative hemodynamic changes, and perioperative complications. Results: The cost of fentanyl was significantly lower than that of local anesthetics (3.31 [3.31, 3.75] vs. 4.27 [4.27, 4.27] United States dollars, P < 0.001). However, the overall anesthetic cost did not differ significantly between groups. Group F demonstrated a significant reduction in mean arterial pressure immediately and 5 min after pin insertion compared to Group S (75.8 [13.9] vs. 92.5 [16.9] mmHg, P = 0.003 and 67.7 [6.4] vs. 78.5 [10.7] mmHg, P < 0.001, respectively). Conclusion: Fentanyl infusion presents cost advantages over scalp block in LMIC settings. However, prudent opioid use is imperative. This study underscores the need for ongoing research to optimize neurosurgical pain management and evaluate long-term safety implications.

Machine learning-based classification of pineal germinoma from magnetic resonance imaging.

Introduction: Surgical approaches for tissue diagnosis of pineal tumors have been associated with morbidity and mortality. The classification of images by machine learning (ML) may assist physicians in determining the extent of resection and treatment plans for a specific patient. Therefore, the present study aimed to evaluate the diagnostic performances of the ML-based models for distinguishing between pure and non-germinoma of the pineal area. In addition, the secondary objective was to compare diagnostic performances among feature extraction methods. Methods: This is a retrospective cohort study of patients diagnosed with pineal tumors. We used the RGB feature extraction, histogram of oriented gradients (HOG), and local binary pattern methods from magnetic resonance imaging (MRI) scans; therefore, we trained an ML model from various algorithms to classify pineal germinoma. Diagnostic performances were calculated from a test dataset with several diagnostic indices. Results: MRI scans from 38 patients with pineal tumors were collected and extracted features. As a result, the k-nearest neighbors (KNN) algorithm with HOG had the highest sensitivity of 0.81 (95% CI 0.78-0.84), while the random forest (RF) algorithm with HOG had the highest sensitivity of 0.82 (95% CI 0.79-0.85). Moreover, the KNN model with HOG had the highest AUC, at 0.845. Additionally, the AUCs of the artificial neural network and RF algorithms with HOG were 0.770 and 0.713, respectively. Conclusions: The classification of images using ML is a viable way for developing a diagnostic tool to differentiate between germinoma and non-germinoma that will aid neurosurgeons in treatment planning in the future.

The influence of enhanced recovery after surgery protocol adherence in patients undergoing elective neuro-oncological craniotomies.

Objectives: Enhanced recovery after surgery (ERAS) protocols have reduced the length of hospital stay (LOS) and healthcare costs without increasing adverse outcomes. We describe the impact of adherence to an ERAS protocol for elective craniotomy among neuro-oncology patients at a single institution. Methods: This retrospective study enrolled adult patients who underwent elective craniotomy and the ERAS protocol at our institute between January 2020 and April 2021. The patients were divided into high- and low-adherence groups depending on their adherence to ≥9 or <9 of the 16 items, respectively. Inferential statistics were used to compare group outcomes, and multivariable logistic regression analysis was used to examine factors related to delayed discharge (LOS>7 days). Results: Among the 100 patients assessed, median adherence was 8 items (range, 4-16), and 55 and 45 patients were classified into the high- and low-adherence groups, respectively. Age, sex, comorbidities, brain pathology, and operative profiles were comparable at baseline. The high-adherence group showed significantly better outcomes, including shorter median LOS (8 days vs. 11 days; p â€‹= â€‹0.002) and lower median hospital costs (131,657.5 baht vs. 152,974 baht; p â€‹= â€‹0.005). The groups showed no differences in 30-day postoperative complications or Karnofsky performance status. In the multivariable analysis, high adherence to the ERAS protocol (>50%) was the only significant factor preventing delayed discharge (OR â€‹= â€‹0.28; 95% CI â€‹= â€‹0.10 to 0.78; p â€‹= â€‹0.04). Conclusions: High adherence to ERAS protocols showed a strong association with short hospital stays and cost reductions. Our ERAS protocol was feasible and safe for patients undergoing elective craniotomy for brain tumors.

Development and internal validation of a nomogram for predicting outcomes in children with traumatic subdural hematoma.

BACKGROUND: A subdural hematoma (SDH) following a traumatic brain injury (TBI) in children can lead to unexpected death or disability. The nomogram is a clinical prediction tool used by physicians to provide prognosis advice to parents for making decisions regarding treatment. In the present study, a nomogram for predicting outcomes was developed and validated. In addition, the predictors associated with outcomes in children with traumatic SDH were determined. METHODS: In this retrospective study, 103 children with SDH after TBI were evaluated. According to the King's Outcome Scale for Childhood Head Injury classification, the functional outcomes were assessed at hospital discharge and categorized into favorable and unfavorable. The predictors associated with the unfavorable outcomes were analyzed using binary logistic regression. Subsequently, a two-dimensional nomogram was developed for presentation of the predictive model. RESULTS: The predictive model with the lowest level of Akaike information criterion consisted of hypotension (odds ratio [OR], 9.4; 95% confidence interval [CI], 2.0-42.9), Glasgow coma scale scores of 3-8 (OR, 8.2; 95% CI, 1.7-38.9), fixed pupil in one eye (OR, 4.8; 95% CI, 2.6-8.8), and fixed pupils in both eyes (OR, 3.5; 95% CI, 1.6-7.1). A midline shift ≥5 mm (OR, 1.1; 95% CI, 0.62-10.73) and co-existing intraventricular hemorrhage (OR, 6.5; 95% CI, 0.003-26.1) were also included. CONCLUSIONS: SDH in pediatric TBI can lead to mortality and disability. The predictability level of the nomogram in the present study was excellent, and external validation should be conducted to confirm the performance of the clinical prediction tool.

Development and internal validation of a nomogram to predict massive blood transfusions in neurosurgical operations.

Objectives: A massive blood transfusion (MBT) is an unexpected event that may impact mortality. Neurosurgical operations are a major operation involving the vital structures and risk to bleeding. The aims of the present research were (1) to develop a nomogram to predict MBT and (2) to estimate the association between MBT and mortality in neurosurgical operations. Material and Method: We conducted a retrospective cohort study including 3660 patients who had undergone neurosurgical operations. Univariate and multivariate logistic regression analyses were used to test the association between clinical factors, pre-operative hematological laboratories, and MBT. A nomogram was developed based on the independent predictors. Results: The predictive model comprised five predictors as follows: Age group, traumatic brain injury, craniectomy operation, pre-operative hematocrit, and pre-operative international normalized ratio and the good calibration were observed in the predictive model. The concordance statistic index was 0.703. Therefore, the optimism-corrected c-index values of cross-validation and bootstrapping were 0.703 and 0.703, respectively. Conclusion: MBT is an unexpectedly fatal event that should be considered for appropriate preparation blood components. Further, this nomogram can be implemented for allocation in limited-resource situations in the future.

Economic impact of a machine learning-based strategy for preparation of blood products in brain tumor surgery.

BACKGROUND: Globally, blood donation has been disturbed due to the pandemic. Consequently, the optimization of preoperative blood preparation should be a point of concern. Machine learning (ML) is one of the modern approaches that have been applied by physicians to help decision-making. The main objective of this study was to identify the cost differences of the ML-based strategy compared with other strategies in preoperative blood products preparation. A secondary objective was to compare the effectiveness indexes of blood products preparation among strategies. METHODS: The study utilized a retrospective cohort design conducted on brain tumor patients who had undergone surgery between January 2014 and December 2021. Overall data were divided into two cohorts. The first cohort was used for the development and deployment of the ML-based web application, while validation, comparison of the effectiveness indexes, and economic evaluation were performed using the second cohort. Therefore, the effectiveness indexes of blood preparation and cost difference were compared among the ML-based strategy, clinical trial-based strategy, and routine-based strategy. RESULTS: Over a 2-year period, the crossmatch to transfusion (C/T) ratio, transfusion probability (Tp), and transfusion index (Ti) of the ML-based strategy were 1.10, 57.0%, and 1.62, respectively, while the routine-based strategy had a C/T ratio of 4.67%, Tp of 27.9%%, and Ti of 0.79. The overall costs of blood products preparation among the ML-based strategy, clinical trial-based strategy, and routine-based strategy were 30, 061.56$, 57,313.92$, and 136,292.94$, respectively. From the cost difference between the ML-based strategy and routine-based strategy, we observed cost savings of 92,519.97$ (67.88%) for the 2-year period. CONCLUSION: The ML-based strategy is one of the most effective strategies to balance the unnecessary workloads at blood banks and reduce the cost of unnecessary blood products preparation from low C/T ratio as well as high Tp and Ti. Further studies should be performed to confirm the generalizability and applicability of the ML-based strategy.

Risk Factors for Intraoperative Hypotension During Decompressive Craniectomy in traumatic Brain Injury Patients.

BACKGROUND: Decompressive craniectomy (DC) is an important therapy for treating intracranial pressure elevation following traumatic brain injury (TBI). During this procedure, about one-third of patients become complicated with intraoperative hypotension (IH), which is associated with abruptly decreasing sympathetic activity resulting from brain decompression. This study aimed to identify factors associated with IH during DC procedures and the mortality rate in these patients. METHODS: The records of adult TBI patients aged 18 years and older who underwent DC at Songklanagarind Hospital between January 2014 and January 2021 were retrospectively reviewed. Using logistic regression analysis, various factors were analyzed for their associations with IH during the DC procedures. RESULTS: This study included 83 patients. The incidence of IH was 54%. Multivariate analysis showed that Glasgow Coma Scale motor response (GCS-M) 1-3 (vs. 4-6), higher preoperative heart rate (PHR), and larger amount of intraoperative blood loss were significantly associated with IH (P = 0.013, P < 0.001, and P < 0.001, respectively). Patients with GCS-M 1-3 and PHR ≥ 75 bpm had the highest chance of IH (77%), while patients with neither of these risk factors had the lowest chance (29%). The in-hospital mortality rate in the IH and non-IH groups was 44% and 26%, respectively (P = 0.138). CONCLUSIONS: GCS-M 1-3, higher PHR, and larger amount of intraoperative blood loss were the risk factors associated with IH during DC procedure in TBI patients. Patients who have these risk factors should be closely monitored and the attending physician be ready to apply prompt resuscitation and treatment for IH.

Quality of life, out-of-pocket expenditures, and indirect costs among patients with the central nervous system tumors in Thailand.

Objectives: The aim of this study was to investigate out-of-pocket (OOP) expenditures, indirect costs, and health-related quality of life (HRQoL) associated with the central nervous system (CNS) tumors in Thailand. Materials and Methods: A prospective study of CNS tumor patients who underwent first tumor resection at a tertiary care institution in Thailand was conducted. Patients were interviewed during hospitalization for undergoing first surgery. Within 6 months, they were interviewed once more if the disease continued to progress. Costs collected from a patient perspective and converted to 2019 US dollars. For dealing with these skewed data, a generalized linear model was used to investigate the effects of disease severity (malignancy, progressive disease, Karnofsky performance status score, and histology) and other factors on costs (OOP, informal care, productivity loss, and total costs). P < 0.05 was considered statistical significant for all analysis. Results: Among a total of 123 intracranial CNS tumor patients, there were 83 and 40 patients classified into benign and malignant, respectively. In the first brain surgery, there was no statistical difference in HRQoL between patients with benign and malignant tumors (P = 0.072). However, patients with progressive disease had lower HRQoL mean scores at pre-operative and progressive disease periods were 0.711 (95% confidence interval [CI]: 0.662-0.760) and 0.261 (95% CI: 0.144-0.378), respectively. Indirect expenditures were the primary cost driver, accounting for 73.81% of annual total costs. The total annual costs accounted for 59.81% of the reported patient's income in malignant tumor patients. The progressive disease was the only factor that was significantly increases in all sorts of costs, including the OOP (P = 0.001), the indirect costs (P = 0.013), and the total annual costs (P = 0.001). Conclusion: Although there was no statistical difference in HRQoL and costs between patients with benign and malignant tumor, the total costs accounted for more than half of the reported income in malignant tumor patients. The primary cause of significant increases in all costs categories was disease progression.

Surgical outcomes of patients after treatment of ruptured anterior communicating artery aneurysms: "real-world" evidence from southern Thailand.

BACKGROUND: Anterior communicating artery (AComA) aneurysm rupture is the most common cause of subarachnoid hemorrhage worldwide. In this study, we aimed to determine the factors associated with a poor clinical outcome in patients with ruptured AComA aneurysms undergoing microsurgical clipping. METHODS: We retrospectively reviewed the clinical and radiologic features as well as clinical outcomes of 150 consecutive patients with ruptured AComA aneurysm who underwent surgical clipping during the 11-year study period. Logistic regression analysis was performed to identify independent factors associated with unfavorable clinical outcomes (defined as a modified Rankin scale score of 3-6). RESULTS: The study included 83 male and 67 female patients, with a mean age of 51.3 ± 11.5 years. At admission, most of the patients had good neurological status, including 97 (64.7%) patients with a Hunt and Hess grade of 1 or 2 and 109 (72.6%) patients with a World Federation of Neurosurgical Societies grade of 1 or 2. Unfavorable outcomes at 6 months were observed in 23 (22.0%) patients, and the 6-month mortality rate was 8.0%. Multivariate analysis showed that preoperative intraventricular hemorrhage (odds ratio [OR], 19.66; 95% confidence interval [CI], 5.10-75.80; P < 0.001), A1 hypoplasia (OR, 8.90; 95% CI, 2.82-28.04; P < 0.001), and postoperative cerebral infarction (OR, 3.21; 95% CI, 1.16-8.88; P = 0.025) were strong independent risk factors for unfavorable outcomes. CONCLUSIONS: Proper management of preoperative intraventricular hemorrhage, A1 hypoplasia, and intensive care for postoperative brain infarction are warranted for improved surgical outcomes in patients with ruptured AComA aneurysm undergoing surgical clipping.

Predicting the Health-related Quality of Life in Patients Following Traumatic Brain Injury.

Background Traumatic brain injury (TBI) commonly causes death and disability that can result in productivity loss and economic burden. The health-related quality of life (HRQoL) has been measured in patients suffering from TBI, both in clinical and socioeconomic perspectives. The study aimed to assess the HRQoL in patients following TBI using the European quality of life measure-5 domain-5 level (EQ-5D-5L) questionnaire and develop models for predicting the EQ-5D-5L index score in patients with TBI. Method A cross-sectional study was performed with 193 TBI patients who had completed the EQ-5D-5L questionnaire. The clinical characteristics, Glasgow coma scale (GCS) score, treatment, and Glasgow outcome scale (GOS) were collected. The total data was divided into training data (80%) and testing data (20%); hence, the factors affecting the EQ-5D-5L index scores were used to develop the predictive model with linear and nonlinear regression. The performances of the predictive models were estimated with the adjusted coefficient of determination (R 2 ) and the root mean square error (RMSE). Results A good recovery was found at 96.4%, while 2.1% displayed an unfavorable outcome. Moreover, the mean EQ-5D-5L index scores were 0.91558 (standard deviation [SD] 1.09639). GCS score, pupillary light reflex, surgery, and GOS score significantly correlated with the HRQoL scores. The multiple linear regression model had a high adjusted R 2 of 0.6971 and a low RMSE of 0.06701, while the polynomial regression developed a nonlinear model that had the highest adjusted R 2 of 0.6843 and the lowest RMSE of 0.06748. Conclusions A strong positive correlation between the physician-based outcome as GOS and HRQoL was observed. Furthermore, both the linear and nonlinear regression models were acceptable approaches to predict the HRQoL of patients after TBI. There would be limitations for estimating the HRQoL in unconscious or intubated patients. The HRQoL obtained from the predictive models would be an alternative method to resolve this problem.

Multidisciplinary management of a penetrating cerebellar injury by a fishing speargun: A case study and literature review.

BACKGROUND: Fishing spearguns are a rare cause of nonmissile penetrating brain injuries (PBIs). Discussion of their injury patterns and treatments has been published only sporadically. Here, we report a case of a self-inflicted PBI caused by this type of weapon and present an extensive review of previous case reports to help ascertain the appropriate surgical approach. CASE DESCRIPTION: A 26-year-old man with a preexisting psychiatric illness was transferred to our hospital after a self-inflicted shot with a fishing speargun through his mouth. The ensuing injuries included the impalement of a spear intracranially through the soft palate and posterior oropharyngeal wall. The spear was surgically accessed by the otolaryngology team by splitting the soft palate and was removed by the neurosurgery team in the retrograde direction. Cerebral angiographies were done pre- and postoperatively, and these did not detect any vertebrobasilar arterial system injuries. The patient's postoperative care was uneventful, and he was followed up by a psychiatrist for his long-term care. CONCLUSION: This example of a complicated case of nonmissile PBI caused by an uncommon type of weapon shows how this type of medical emergency can be managed successfully with effective teamwork using a multidisciplinary approach.

Prognostic factors and clinical nomogram predicting survival in high-grade glioma.

BACKGROUND: Genomic-based tools have been used to predict poor prognosis high-grade glioma (HGG). As genetic technologies are not generally available in countries with limited resources, clinical parameters may be still necessary to use in predicting the prognosis of the disease. This study aimed to identify prognostic factors associated with survival of patients with HGG. We also proposed a validated nomogram using clinical parameters to predict the survival of patients with HGG. METHODS: A multicenter retrospective study was conducted in patients who were diagnosed with anaplastic astrocytoma (WHO III) or glioblastoma (WHO IV). Collected data included clinical characteristics, neuroimaging findings, treatment, and outcomes. Prognostic factor analysis was conducted using Cox proportional hazard regression analysis. Then, we used the significant prognostic factors to develop a nomogram. A split validation of nomogram was performed. Twenty percent of the dataset was used to test the performance of the developed nomogram. RESULTS: Data from 171 patients with HGG were analyzed. Overall median survival was 12 months (interquartile range: 5). Significant independent predictors included frontal HGG (hazard ratio [HR]: 0.62; 95% confidence interval [CI]: 0.40-0.60), cerebellar HGG (HR: 4.67; 95% CI: 0.93-23.5), (HR: 1.55; 95% CI: 1.03-2.32; reference = total resection), and postoperative radiotherapy (HR: 0.18; 95% CI: 0.10-0.32). The proposed nomogram was validated using nomogram's predicted 1-year mortality rate. Sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and area under the curve of our nomogram were 1.0, 0.50, 0.45, 1.0, 0.64, and 0.75, respectively. CONCLUSION: We developed a nomogram for individually predicting the prognosis of HGG. This nomogram had acceptable performances with high sensitivity for predicting 1-year mortality.

Outcome and Prognostic Factors of Primary Central Nervous System Lymphoma in Southern Thailand.

CONTEXT: Primary central nervous system lymphoma (PCNSL) is an uncommon type of brain tumor that has an aggressive disease course. Its outcomes, including factor-related outcomes, are therefore not well established in our country. AIMS: This study aims to investigate the outcome and prognostic factors in PCNSL patients at our institute. SETTINGS AND DESIGN: Retrospective study in a single university hospital. SUBJECTS AND METHODS: We reviewed consecutive cases of newly diagnosed PCNSL at Prince of Songkla University from 2005 to 2018. The data were collected to evaluate the treatment outcomes and prognostic factors. STATISTICAL ANALYSIS USED: The Kaplan-Meier method for survival analysis, and Cox regression for variable analysis. RESULTS: Eighty-seven patients met the inclusion criteria. Patients were predominantly male, and their mean age was 58.8 ± 11.2 years. Only four patients were infected with HIV. Motor weakness was the most common presentation, and neuroimaging revealed multiple lesions in 56.3% of patients. The patients were divided into four groups according to treatment modality: palliative treatment, whole-brain radiotherapy (WBRT) alone, chemotherapy (CMT) alone, and combined WBRT and CMT groups. The median overall survival was 7 months. The 1-, 2-, and 5-year survival rates were 29%, 21.5%, and 4.6%, respectively. The age of >60 years was a significant poor prognostic factor. In addition, patients who received combined treatment exhibited the highest survival rate. CONCLUSIONS: PCNSL has a low survival rate, even in the present era. Older age is the most substantial factor associated with unfavorable outcomes. The most effective treatment is combined with WBRT and CMT.

Giant intraventricular and paraventricular cavernous malformations with multifocal subependymal cavernous malformations in pediatric patients: Two case reports.

BACKGROUND: Giant cavernous malformation (GCM) is rarely found in intraventricular or paraventricular locations. CASE SUMMARY: We present two cases of 6-mo and 21-mo boys with intraventricular and paraventricular GCMs including a literature review focused on location and imaging findings. Characteristic magnetic resonance imaging findings such as multicystic lesions and a hemosiderin ring or bubbles-of-blood appearance can assist in the differential diagnosis of a hemorrhagic intraventricular and/or paraventricular mass. CONCLUSION: Multifocal intraventricular and/or paraventricular GCM in small children is rare. The characteristic magnetic resonance imaging findings can help to differentiate GCMs from other intraventricular tumors.

Incidence and Risk Factors for Venous Thromboembolism Following Craniotomy for Intracranial Tumors: A Cohort Study.

CONTEXT: Venous thromboembolism (VTE) is a devastating complication of intracranial tumor surgery. The present study helps identify patients at the greatest risk of developing VTE. AIMS: The aim of the study was to evaluate the incidence of and risk factors for VTE following craniotomy for intracranial tumors. SETTING AND DESIGNS: This was a retrospective cohort study. METHODS: Data from the institutional database (between January 2017 and December 2018) were reviewed. Consecutive patients with intracranial tumors who underwent craniotomy were included. STATISTICAL ANALYSIS USED: Patient characteristics were reported as descriptive data, and factors associated with VTE development were analyzed by the Cox regression model. RESULTS: The study identified 177 patients. The incidence of VTE was 10.2% (deep-vein thrombosis [DVT], 8.5%; pulmonary embolism [PE] 1.7%; and simultaneous DVT and PE, 1.7%). In univariate analysis, VTE development was associated with diabetes mellitus (DM), operative duration of >420 min, blood transfusion, and new-onset postoperative motor deficits. DM and new-onset postoperative motor deficits were statistically significant factors in multivariable analysis, with hazard ratios of 4.52 (95% confidence interval [CI] = 1.38-14.82) and 3.46 (95% CI = 1.17-10.23), respectively. CONCLUSIONS: Postcraniotomy VTE was detected in 10.2% of patients with intracranial tumors. Risk factors for VTE included DM and new-onset postoperative motor deficits. Hence, intracranial tumor patients with these risk factors are the most likely to require VTE prophylaxis with an anticoagulant.