Evolution of RANO in Assessing Brain Tumour Outcomes.

Assessing treatment response is extremely important in management of brain tumours. Response assessment in neuro-oncology (RANO) was introduced in 2008 for the purpose of making recommendations for it by addressing and countering the limitations in previously reported response criteriae. Subsequently, multiple RANO working groups have been formed to cater to different tumour types and to update their previous recommendations to counter the limitations in their criteria. Herein we have a summarized list of RANO criteria for adult brain tumours.

Prognostic Value of BRAF Mutation in Glioblastoma.

With advances in molecular genetics, exploring targetable mutations for treating glioblastoma (GBM) patients, has become a centre of interest in modern day neuropathology. BRAF mutation has been extensively reported in several brain tumours. Recent studies report identification of BRAF mutation in GBM patients, especially isocitrate dehydrogenase wildtype glioblastomas (IDH-WT GBM), and its potential role in patient outcomes. Here we discuss the existing literature on the prognostic value of BRAF mutation in GBM.

Raman Spectroscopy: Can It Change The Future Of Brain Tumour Surgery?s.

Raman Spectroscopy (RS) is one of several techniques being used to identify tumour tissue during brain surgery. It is emerging as a novel investigative and diagnostic tool. The application of RS in cancer treatment has displayed promising results. This review centers around its clinical implication in brain tumours.

Spinal Schwannomas; Classification, Management And Outcomes.

Schwannomas are benign tumours of the peripheral nerve sheath. When they occur in spine, they are most commonly found in intradural-extramedullary location. Surgery is the mainstay of treatment. Radiation has a limited role in the management of residual or recurrent lesions not suitable for surgery. Here we discuss the existing literature on the outcomes of spinal schwannoma after surgery.

Exploring the 'January effect' at a university hospital in Pakistan: a retrospective cohort study investigating the impact of trainee turnover on patient care quality outcomes.

OBJECTIVE: There are reports of a potential rise in a teaching hospital's morbidity and mortality rates during the trainee turnover period, i.e., with the induction of new residents and house staffs, and the changeover of clinical teams. The published literature displays mixed reports on this topic with lack of reproducible observations. The current study was conducted to explore existence of any such phenomenon (January effect) in Pakistan. METHODS: This retrospective cohort study was conducted at Aga Khan University Hospital, Karachi, Pakistan. Five-year (2013-2018) record of all the patients in all age groups related to these outcomes was retrieved and recorded in specifically designed questionnaire. Different outcome measures were used as indicators of patient care and change in these outcomes at the time of new induction was related to possible January effect. RESULTS: During the five-year study period, more than 1100 new trainees were inducted into the post graduate medical education program (average of 237 per year) with more than 22,000 inpatient admissions (average of 45,469 per year). Some patterns were observed in frequencies of surgical site infections, medication errors, sentinel events, patient complaints, and adverse drug reactions. However, these were not consistently reproducible and could not be directly attributed to the trainee turnover. All other indicators did not show any pattern and were considered inconclusive. No effect of overlap was observed. CONCLUSIONS: Inconsistency in the patient care quality indicators do not favor existence of January effect in our study. Further research is recommended to establish our results.

Geographical Distribution of Neurosurgeons and Emergency Neurosurgical Services in Pakistan.

BACKGROUND AND OBJECTIVE: According to the World Federation of Neurosurgical Societies (WFNS), a minimum neurosurgery workforce density should be 1 per 200,000 population for optimum access to neurosurgical care. Pakistan lags behind in the number of neurosurgeons, and disproportionate geographical distribution further increases disparity. Our objective was to geographically map the density of neurosurgeons and emergency neurosurgical services (ENS) in Pakistan. METHODS: This survey was circulated among 307 neurosurgeons. Data were analyzed using SPSS v21. The number of neurosurgeons and ENS were plotted on the population density map using ArcGIS Pro 3.0.0 software. RESULTS: Three hundred and seven neurosurgeons working at 74 centers responded to our survey (93.3% coverage). The current density of neurosurgeons in Pakistan is 0.14/100,000. The 2 more populous provinces, Punjab and Sindh, have 42.3% (130) and 35.8% (110) neurosurgeons, respectively. They also housed nearly 3 quarters of all the neurosurgery centers in urban districts. Karachi and Lahore accommodate 135 (44%) of all the country's neurosurgeons, having 0.29 and 0.51 neurosurgeons/100,000 respectively. Management of traumatic brain injury is offered at 65 centers (87.8%). Nearly all centers are equipped with computed tomography (CT) scan machine (74; 97%), but magnetic resonance imaging (MRI) facility is available at 55 (72%) centers and 37 (49%) centers have angiography suites. Sixty nine centers (93.2%) have C-arm fluoroscopes available. CONCLUSIONS: The geographical mapping of neurosurgeons and neurosurgical facilities is highly skewed towards urban centers, increasing disparity in access to timely neurosurgical emergency services. Four times more neurosurgeons are required in Pakistan to bridge the gap in neurosurgical workforce.

Factors affecting post-operative recurrence or growth of meningiomas, other than histological grade and extent of resection.

Meningiomas are one of the commonest primary brain tumours, treated primarily with surgery. These are extraaxial tumours and their post-operative recurrence rates have been extensively studied. The most established predictor of meningioma recurrence is the WHO grade (based on histological features) and the Simpson grade, based on the extent of resection. In this review article, we look into the risk factors other than histological grade and Simpson grade that have been associated with recurrence of meningioma after resection.