METHODS: A random pair of neurosurgery resident and specialist conducted consecutive virtual and physical ward rounds on neurocritical patients. A virtual ward round was first conducted remotely by a specialist who received real-time audiovisual information from a resident wearing smart glasses integrated with telemedicine. Subsequently, a physical ward round was performed together by the resident and specialist on the same patient. The management plans of both ward rounds were compared, and the intrarater reliability was measured. On study completion a qualitative survey was performed.
RESULTS: Ten paired ward rounds were performed on 103 neurocritical care patients with excellent overall intrarater reliability. Nine out of 10 showed good to excellent internal consistency, and 1 showed acceptable internal consistency. Qualitative analysis indicated wide user acceptance and high satisfaction rate with the alternative method.
CONCLUSIONS: Virtual ward rounds using telemedicine via smart glasses on neurosurgical patients in critical care were feasible, effective, and widely accepted as an alternative to physical ward rounds during the coronavirus disease 2019 pandemic.
METHODS: We conducted an online survey among neurosurgery residents in Indonesia, Malaysia, Philippines, Singapore, and Thailand from May 22 to 31, 2020 using Google Forms. The 33-item questionnaire collected data on elective and emergency neurosurgical operations, ongoing learning activities, and health worker safety.
RESULTS: A total of 298 of 470 neurosurgery residents completed the survey, equivalent to a 63% response rate. The decrease in elective neurosurgical operations in Indonesia and in the Philippines (median, 100% for both) was significantly greater compared with other countries (P < 0.001). For emergency operations, trainees in Indonesia and Malaysia had a significantly greater reduction in their caseload (median, 80% and 70%, respectively) compared with trainees in Singapore and Thailand (median, 20% and 50%, respectively; P < 0.001). Neurosurgery residents were most concerned about the decrease in their hands-on surgical experience, uncertainty in their career advancement, and occupational safety in the workplace. Most of the residents (n = 221, 74%) believed that the COVID-19 crisis will have a negative impact on their neurosurgical training overall.
CONCLUSIONS: An effective national strategy to control COVID-19 is crucial to sustain neurosurgical training and to provide essential neurosurgical services. Training programs in Southeast Asia should consider developing online learning modules and setting up simulation laboratories to allow trainees to systematically acquire knowledge and develop practical skills during these challenging times.
MATERIAL AND METHODS: Forty-two glioma patients were subjected to MRI using a standard tumor protocol with diffusion tensor imaging (DTI). The tumor and peritumor regions were delineated using snake model with reference to structural and diffusion MRI. A preprocessing pipeline of the structural MRI image, DTI data, and tumor regions was implemented. Tractography was performed to delineate the white matter (WM) tracts in the selected tumor regions via probabilistic fiber tracking. DTI indices were investigated through comparative mapping of WM tracts and tumor regions in low-grade gliomas (LGG) and high-grade gliomas (HGG).
RESULTS: Significant differences were seen in the planar tensor (Cp) in peritumor regions; mean diffusivity, axial diffusivity and pure isotropic diffusion in solid-enhancing tumor regions; and fractional anisotropy, axial diffusivity, pure anisotropic diffusion (q), total magnitude of diffusion tensor (L), relative anisotropy, Cp and spherical tensor (Cs) in solid nonenhancing tumor regions for affected WM tracts. In most cases of HGG, the WM tracts were not completely destroyed, but found intact inside the tumor.
DISCUSSION: Probabilistic fiber tracking revealed the existence and distribution of WM tracts inside tumor core for both LGG and HGG groups. There were more DTI indices in the solid nonenhancing tumor region, which showed significant differences between LGG and HGG.