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External validation of the updated Brain Injury Guidelines for complicated mild traumatic brain injuries: a retrospective cohort study

Jean-Nicolas Tourigny, Valérie Boucher, Véronique Paquet, Émile Fortier, Christian Malo, Éric Mercier, Jean-Marc Chauny, Gregory Clark, Pierre-Gilles Blanchard, Pierre-Hugues Carmichael, Jean-Luc Gariépy, Myreille D’Astous, and Marcel Émond

OBJECTIVE

Approximately 10% of patients with mild traumatic brain injury (mTBI) have intracranial bleeding (complicated mTBI) and 3.5% eventually require neurosurgical intervention, which is mostly available at centers with a higher level of trauma care designation and often requires interhospital transfer. In 2018, the Brain Injury Guidelines (BIG) were updated in the United States to guide emergency department care and patient disposition for complicated mild to moderate TBI. The aim of this study was to validate the sensitivity and specificity of the updated BIG (uBIG) for predicting the need for interhospital transfer in Canadian patients with complicated mTBI.

METHODS

This study took place at three level I trauma centers. Consecutive medical records of patients with complicated mTBI (Glasgow Coma Scale score 13–15) who were aged ≥ 16 years and presented between September 2016 and December 2017 were retrospectively reviewed. Patients with a penetrating trauma and those who had a documented cerebral tumor or aneurysm were excluded. The primary outcome was a combination of neurosurgical intervention and/or mTBI-related death. Sensitivity and specificity analyses were performed.

RESULTS

A total of 477 patients were included, of whom 8.4% received neurosurgical intervention and 3% died as a result of their mTBI. Forty patients (8%) were classified as uBIG-1, 168 (35%) as uBIG-2, and 269 (56%) as uBIG-3. No patients in uBIG-1 underwent neurosurgical intervention or died as a result of their injury. This translates into a sensitivity for predicting the need for a transfer of 100% (95% CI 93.2%–100%) and a specificity of 9.4% (95% CI 6.8%–12.6%). Using the uBIG could potentially reduce the number of transfers by 6% to 25%.

CONCLUSIONS

The patients in uBIG-1 could be safely managed at their initial center without the need for transfer to a center with a higher level of neurotrauma care. Although the uBIG could decrease the number of transfers, further refinement of the criteria could improve its specificity.

In Journal of Neurosurgery Publish Before Print

Open access

Adolescent subdural empyema in setting of COVID-19 infection: illustrative case

Vladimir A. Ljubimov, Robin Babadjouni, Joseph Ha, Viktoria O. Krutikova, Jeffrey A. Koempel, Jason Chu, and Peter A. Chiarelli

BACKGROUND

Coronavirus disease 2019 (COVID-19) is an ongoing viral pandemic that has affected modern medical practice and can complicate known pathology. The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes symptoms that may mimic a viral pneumonia, with potential for serious sequelae, including acute respiratory distress syndrome, coagulopathy, multiorgan dysfunction, systemic vascular abnormalities, and secondary infection.

OBSERVATIONS

The authors describe a case of a 15-year-old boy who presented with a right subdural empyema and sinusitis while having active COVID-19 infection. The patient initially presented with left-sided weakness, frontal sinusitis, and subdural empyema. Emergent surgery was performed for evacuation of empyema and sinus debridement. Samples of purulent material within the subdural space were tested for SARS-CoV-2 by reverse transcriptase polymerase chain reaction. The patient had a successful recovery and regained the use of his right side after combined treatment. To our knowledge, this is the first reported case of a bacterial subdural empyema associated with frontal sinusitis in a coinfected patient with COVID-19 without evidence of COVID-19 intracranial infection.

LESSONS

A subdural empyema, which is a surgical emergency, was likely a superinfection caused by COVID-19. This, along with the coagulopathy caused by the virus, introduced unique challenges to the treatment of a known pathology.

In Journal of Neurosurgery: Case Lessons Volume 3 (2022): Issue 4 (Jan 2022)

Open access

Management of failed Chiari decompression and intrasyringeal hemorrhage in Noonan syndrome: illustrative cases

Cody J. Falls, Paul S. Page, Garret P. Greeneway, Daniel K. Resnick, and James A. Stadler III

BACKGROUND

Noonan syndrome (NS) is a rare genetic RASopathy with multisystem implications. The disorder is typically characterized by short stature, distinctive facial features, intellectual disability, developmental delay, chest deformity, and congenital heart disease. NS may be inherited or arise secondary to spontaneous mutations of genes in the Ras/mitogen activated protein kinase signaling pathways.

OBSERVATIONS

Numerous case reports exist detailing the association between NS and Chiari I malformation (CM-I), although this relationship has not been fully established. Patients with NS who present with CM-I requiring operation have shown high rates reoperation for failed decompression. The authors reported two patients with NS, CM-I, and syringomyelia who had prior posterior fossa decompressions without syrinx improvement. Both patients received reoperation with successful outcomes.

LESSONS

The authors highlighted the association between NS and CM-I and raised awareness that patients with these disorders may be at higher risk for failed posterior fossa decompression, necessitating reoperation.

In Journal of Neurosurgery: Case Lessons Volume 3 (2022): Issue 4 (Jan 2022)

Open access

Mycotic aneurysm presenting as subdural empyema: illustrative case

Joshua T. M. Lucas, Shahed Elhamdani, Seung W. Jeong, and Alexander Yu

BACKGROUND

Mycotic aneurysms (MAs) are rare intracranial pathologies. They are associated with spontaneous rupture, which is often the first presenting sign. Subarachnoid hemorrhage and intraparenchymal hemorrhage are the most common sequelae of ruptured MAs, with subdural hematoma being an atypical presentation. The presentation of an MA as a subdural empyema has not yet been reported in the literature.

OBSERVATIONS

The authors discussed a 68-year-old man who presented with subdural empyema and received surgery for evacuation. He was found to have a ruptured mycotic aneurysm intraoperatively.

LESSONS

This case demonstrated a rare and atypical presentation of an MA.

In Journal of Neurosurgery: Case Lessons Volume 3 (2022): Issue 4 (Jan 2022)

Open access

Ten-year survival in glioblastoma patient with neurofibromatosis type 1: illustrative case

Sarah Basindwah, Hisham Alkhalidi, Ahmed Abdelwarith, and Sherif Elwatidy

BACKGROUND

Gliomas are commonly detected in patients with neurofibromatosis type 1 (NF1) at an early age. Few patients with NF1 are diagnosed with glioblastoma. The course of management, response to therapy, and prognosis of such patients are unknown. Few reports have shown longer-than-average survival rates for patients with NF1 with glioblastoma.

OBSERVATIONS

A 27-year-old man with NF1 presented with symptoms of high intracranial pressure. Imaging and pathology showed left frontotemporal glioblastoma. Gross total resection was achieved, and concurrent chemoradiotherapy was administered. Recurrence of tumor was detected 48 months later, and the patient underwent tumor debulking and concurrent chemoradiotherapy. The patient received first-, second-, and third-line chemotherapy (temozolomide, bevacizumab, bevacizumab/irinotecan) with good tolerance and has survived >10 years since then with good functional status.

LESSONS

This case demonstrates >10 years overall survival of glioblastoma in a patient with NF1. Reports of patients with NF1 with longer survival may be attributed to the young age at diagnosis and relatively better tolerance for therapy. It might also support the growing evidence of a unique subset of glioblastoma associated with NF1 and opens the door for a more molecular targeted therapy in the future.

In Journal of Neurosurgery: Case Lessons Volume 3 (2022): Issue 4 (Jan 2022)

Restricted access

Cingulum bundle connectivity in treatment-refractory compared to treatment-responsive patients with bipolar disorder and healthy controls: a tractography and surgical targeting analysis

Jennifer A. Sweet, Keming Gao, Zhengyi Chen, Curtis Tatsuoka, Joseph R. Calabrese, Martha Sajatovic, Jonathan P. Miller, and Cameron C. McIntyre

OBJECTIVE

The clinical response of patients with bipolar disorder to medical treatment is variable. A better understanding of the underlying neural circuitry involved in bipolar treatment responsivity subtypes may provide insight into treatment resistance and aid in identifying an effective surgical target for deep brain stimulation (DBS) specific to the disorder. Despite considerable imaging research related to the disease, a paucity of comparative imaging analyses of treatment responsiveness exists. There are also no DBS targets designed expressly for patients with bipolar disorder. Therefore, the authors analyzed cingulum bundle axonal connectivity in relation to cortico-striatal-thalamo-cortical (CSTC) loops implicated in bipolar disorder across subjects who are responsive to treatment (RSP) and those who are refractory to therapy (REF), compared to healthy controls (HCs).

METHODS

Twenty-five subjects with bipolar disorder (13 RSP and 12 REF), diagnosed using the Mini International Neuropsychiatric Interview and classified with standardized rating scales, and 14 HCs underwent MRI with diffusion sequences for probabilistic diffusion-weighted tractography analysis. Image processing and tractography were performed using MRTrix. Region of interest (ROI) masks were created manually for 10 anterior cingulum bundle subregions, including surgical targets previously evaluated for the treatment of bipolar disorder (cingulotomy and subgenual cingulate DBS targets). Cortical and subcortical ROIs of brain areas thought to be associated with bipolar disorder and described in animal tract-tracing models were created via FreeSurfer. The number of axonal projections from the cingulum bundle subregion ROIs to cortical/subcortical ROIs for each group was compared.

RESULTS

Significant differences were found across groups involving cingulum bundle and CSTC loops. Subjects in the RSP group had increased connections from rostral cingulum bundle to medial orbitofrontal cortex, which is part of the limbic CSTC loop, whereas subjects in the REF group had increased connectivity from rostral cingulum bundle to thalamus. Additionally, compared to HCs, both RSP and REF subjects had decreased cingulum bundle dorsal connectivity (dorsal anterior/posterior cingulate, dorsomedial/lateral frontal cortex) and increased cingulum bundle ventral connectivity (subgenual cingulate, frontal pole, lateral orbitofrontal cortex) involving limbic and associative CSTC loops.

CONCLUSIONS

Findings demonstrate that bipolar treatment responsivity may be associated with significant differences in cingulum bundle connectivity in relation to CSTC loops, which may help identify a surgical target for bipolar disorder treatment via DBS in the future.

In Journal of Neurosurgery Publish Before Print

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Complications associated with early cranioplasty for patients with traumatic brain injury: a 25-year single-center analysis

Jessica C. Eaton, Madeline E. Greil, Dominic Nistal, David J. Caldwell, Emily Robinson, Zaid Aljuboori, Nancy Temkin, Robert H. Bonow, and Randall M. Chesnut

OBJECTIVE

Cranioplasty is a technically simple procedure, although one with potentially high rates of complications. The ideal timing of cranioplasty should minimize the risk of complications, but research investigating cranioplasty timing and risk of complications has generated diverse findings. Previous studies have included mixed populations of patients undergoing cranioplasty following decompression for traumatic, vascular, and other cerebral insults, making results challenging to interpret. The objective of the current study was to examine rates of complications associated with cranioplasty, specifically for patients with traumatic brain injury (TBI) receiving this procedure at the authors’ high-volume level 1 trauma center over a 25-year time period.

METHODS

A single-institution retrospective review was conducted of patients undergoing cranioplasty after decompression for trauma. Patients were identified and clinical and demographic variables obtained from 2 neurotrauma databases. Patients were categorized into 3 groups based on timing of cranioplasty: early (≤ 90 days after craniectomy), intermediate (91–180 days after craniectomy), and late (> 180 days after craniectomy). In addition, a subgroup analysis of complications in patients with TBI associated with ultra-early cranioplasty (< 42 days, or 6 weeks, after craniectomy) was performed.

RESULTS

Of 435 patients identified, 141 patients underwent early cranioplasty, 187 patients received intermediate cranioplasty, and 107 patients underwent late cranioplasty. A total of 54 patients underwent ultra-early cranioplasty. Among the total cohort, the mean rate of postoperative hydrocephalus was 2.8%, the rate of seizure was 4.6%, the rate of postoperative hematoma was 3.4%, and the rate of infection was 6.0%. The total complication rate for the entire population was 16.8%. There was no significant difference in complications between any of the 3 groups. No significant differences in postoperative complications were found comparing the ultra-early cranioplasty group with all other patients combined.

CONCLUSIONS

In this cohort of patients with TBI, early cranioplasty, including ultra-early procedures, was not associated with higher rates of complications. Early cranioplasty may confer benefits such as shorter or fewer hospitalizations, decreased financial burden, and overall improved recovery, and should be considered based on patient-specific factors.

In Journal of Neurosurgery Publish Before Print

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Cumulative strain-based metrics for predicting subconcussive head impact exposure–related imaging changes in a cohort of American youth football players

Logan E. Miller, Jillian E. Urban, Mark A. Espeland, Michael P. Walkup, James M. Holcomb, Elizabeth M. Davenport, Alexander K. Powers, Christopher T. Whitlow, Joseph A. Maldjian, and Joel D. Stitzel

OBJECTIVE

Youth football athletes are exposed to repetitive subconcussive head impacts during normal participation in the sport, and there is increasing concern about the long-term effects of these impacts. The objective of the current study was to determine if strain-based cumulative exposure measures are superior to kinematic-based exposure measures for predicting imaging changes in the brain.

METHODS

This prospective, longitudinal cohort study was conducted from 2012 to 2017 and assessed youth, male football athletes. Kinematic data were collected at all practices and games from enrolled athletes participating in local youth football organizations in Winston-Salem, North Carolina, and were used to calculate multiple risk-weighted cumulative exposure (RWE) kinematic metrics and 36 strain-based exposure metrics. Pre- and postseason imaging was performed at Wake Forest School of Medicine, and diffusion tensor imaging (DTI) measures, including fractional anisotropy (FA), and its components (CL, CP, and CS), and mean diffusivity (MD), were investigated. Included participants were youth football players ranging in age from 9 to 13 years. Exclusion criteria included any history of previous neurological illness, psychiatric illness, brain tumor, concussion within the past 6 months, and/or contraindication to MRI.

RESULTS

A total of 95 male athletes (mean age 11.9 years [SD 1.0 years]) participated between 2012 and 2017, with some participating for multiple seasons, resulting in 116 unique athlete-seasons. Regression analysis revealed statistically significant linear relationships between the FA, linear coefficient (CL), and spherical coefficient (CS) and all strain exposure measures, and well as the planar coefficient (CP) and 8 strain measures. For the kinematic exposure measures, there were statistically significant relationships between FA and RWE linear (RWEL) and RWE combined probability (RWECP) as well as CS and RWEL. According to area under the receiver operating characteristic (ROC) curve (AUC) analysis, the best-performing metrics were all strain measures, and included metrics based on tensile, compressive, and shear strain.

CONCLUSIONS

Using ROC curves and AUC analysis, all exposure metrics were ranked in order of performance, and the results demonstrated that all the strain-based metrics performed better than any of the kinematic metrics, indicating that strain-based metrics are better discriminators of imaging changes than kinematic-based measures. Studies relating the biomechanics of head impacts with brain imaging and cognitive function may allow equipment designers, care providers, and organizations to prevent, identify, and treat injuries in order to make football a safer activity.

In Journal of Neurosurgery: Pediatrics Publish Before Print

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Deep brain stimulation for extreme behaviors associated with autism spectrum disorder converges on a common pathway: a systematic review and connectomic analysis

Han Yan, Lior M. Elkaim, Flavia Venetucci Gouveia, Joelene F. Huber, Jurgen Germann, Aaron Loh, Juan Carlos Benedetti-Isaac, Paresh K. Doshi, Cristina V. Torres, David J. Segar, Gavin J. B. Elias, Alexandre Boutet, G. Rees Cosgrove, Alfonso Fasano, Andres M. Lozano, Abhaya V. Kulkarni, and George M. Ibrahim

OBJECTIVE

Individuals with autism spectrum disorder (ASD) may display extreme behaviors such as self-injury or aggression that often become refractory to psychopharmacology or behavioral intervention. Deep brain stimulation (DBS) is a surgical alternative that modulates brain circuits that have yet to be clearly elucidated. In the current study the authors performed a connectomic analysis to identify brain circuitry engaged by DBS for extreme behaviors associated with ASD.

METHODS

A systematic review was performed to identify prior reports of DBS as a treatment for extreme behaviors in patients with ASD. Individual patients’ perioperative imaging was collected from corresponding authors. DBS electrode localization and volume of tissue activated modeling were performed. Volumes of tissue activated were used as seed points in high-resolution normative functional and structural imaging templates. The resulting individual functional and structural connectivity maps were pooled to identify networks and pathways that are commonly engaged by all targets.

RESULTS

Nine patients with ASD who were receiving DBS for symptoms of aggression or self-injurious behavior were identified. All patients had some clinical improvement with DBS. Connectomic analysis of 8 patients (from the systematic review and unpublished clinical data) demonstrated a common anatomical area of shared circuitry within the anterior limb of the internal capsule. Functional analysis of 4 patients identified a common network of distant brain areas including the amygdala, insula, and anterior cingulate engaged by DBS.

CONCLUSIONS

This study presents a comprehensive synopsis of the evidence for DBS in the treatment of extreme behaviors associated with ASD. Using network mapping, the authors identified key circuitry common to DBS targets.

In Journal of Neurosurgery Publish Before Print

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Diagnostic triage in patients with central lumbar spinal stenosis using a deep learning system of radiographs

Tackeun Kim, Young-Gon Kim, Seyeon Park, Jae-Koo Lee, Chang-Hyun Lee, Seung-Jae Hyun, Chi Heon Kim, Ki-Jeong Kim, and Chun Kee Chung

OBJECTIVE

Magnetic resonance imaging (MRI) is the gold-standard tool for diagnosing lumbar spinal stenosis (LSS), but it is difficult to promptly examine all suspected cases with MRI considering the modality’s high cost and limited accessibility. Although radiography is an efficient screening technique owing to its low cost, rapid operability, and wide availability, its diagnostic accuracy is relatively poor. In this study, the authors aimed to develop a deep learning model with a convolutional neural network (CNN) for diagnosing severe central LSS using radiography and to evaluate radiological diagnostic features using gradient-weighted class activation mapping (Grad-CAM).

METHODS

Patients who had undergone both spinal MRI and radiography in the period from May 1, 2005, to December 31, 2017, were screened. According to the formal MRI report, participants were consecutively included in the severe central LSS or healthy control group, and radiographs for both groups were collected. A CNN-based transfer learning algorithm was developed to classify radiographic findings as LSS or normal (binary classification). The proposed models were evaluated using six performance metrics: area under the receiver operating characteristic curve (AUROC), accuracy, sensitivity, specificity, and positive and negative predictive values.

RESULTS

The VGG19 model achieved the highest accuracy with an AUROC of 90.0% (95% CI 89.8%–90.3%) by training 12,442 images. Accuracy was 82.8% (95% CI 82.5%–83.1%) by averaging 5-fold models. Feature points on Grad-CAM were reasonable, and the features could be categorized into reduced disc height, narrow foramina, short pedicle, and hyperdense facet joint. The AUROC in the extra validation was 89.3% (95% CI 88.7%–90.0%). Accuracy was 81.8% (95% CI 80.6%–83.0%) by averaging 5-fold models. Multivariate logistic regression analysis showed that a combination of demographic factors (age and sex) did not improve the model performance.

CONCLUSIONS

The algorithm trained by a CNN to identify central LSS on radiographs showed high diagnostic accuracy and is expected to be useful as a triage tool. The algorithm could accurately localize the stenotic lesion to assist physicians in the identification of LSS.

In Journal of Neurosurgery: Spine Publish Before Print