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1.
Cereb Cortex ; 34(1)2024 01 14.
Article in English | MEDLINE | ID: mdl-38112581

ABSTRACT

Developing neurophysiological tools to predict WHO tumor grade can empower the treating teams for a better surgical decision-making process. A total of 38 patients with supratentorial diffuse gliomas underwent an asleep-awake-sedated craniotomies for tumor removal with intraoperative neuromonitoring. The resting motor threshold was calculated for different train stimulation paradigms during awake and asleep phases. Receiver operating characteristic analysis and Bayesian regression models were performed to analyze the prediction of tumor grading based on the resting motor threshold differences. Significant positive spearman correlations were observed between resting motor threshold excitability difference and WHO tumor grade for train stimulation paradigms of 5 (R = 0.54, P = 0.00063), 4 (R = 0.49, P = 0.002), 3 (R = 0.51, P = 0.001), and 2 pulses (R = 0.54, P = 0.0007). Kruskal-Wallis analysis of the median revealed a positive significant difference between the median of excitability difference and WHO tumor grade in all paradigms. Receiver operating characteristic analysis showed 3 mA difference as the best predictor of high-grade glioma across different patterns of motor pathway stimulation. Bayesian regression found that an excitability difference above 3 mA would indicate a 75.8% probability of a glioma being high grade. Our results suggest that cortical motor excitability difference between the asleep and awake phases in glioma surgery could correlate with tumor grade.


Subject(s)
Brain Neoplasms , Glioma , Humans , Brain Neoplasms/surgery , Wakefulness , Bayes Theorem , Glioma/surgery , Craniotomy/adverse effects , Craniotomy/methods , Efferent Pathways , World Health Organization , Brain Mapping/methods
2.
Br J Neurosurg ; 36(1): 3-10, 2022 Feb.
Article in English | MEDLINE | ID: mdl-33030051

ABSTRACT

BACKGROUND: This project's focus was on improving neurosurgical theatre efficiency through the application of Javed et al's Golden Patient initiative to the emergency theatre setting. This initiative has not previously been used in neurosurgery, so we have had to consider how to adapt it. Phase I's primary objective was to quantify theatre start time delays. Phase II assessed whether introducing the initiative reduced the delays. METHODOLOGY: We performed an observational retrospective service evaluation project. Data was collected on weekday theatre start times over 12-week periods pre- and post-initiative. We quantified the delay in theatre start times and recorded the reasons for delays. Following the initiative's introduction, we repeated the evaluation process. Mean and median theatre start times were compared. An ANOVA test was used to confirm statistical significance. RESULTS: Data was collected on 49 days and on 48 days over 12-week periods in both Phase I and II respectively. Phase I of this project identified that there was on average an 86.7 minute delay in starting the theatre each day. The theatre start time was delayed in 91.7% of cases. A 72.3 minute reduction in the theatre start time delay was noted following the initiative's introduction (p < .0005), with an improvement in the average emergency theatre start time from 09:56 to 08:44 (08:30 is the recognised theatre start time). We have identified hospital-wide and doctor-related contributing factors which require further attention, most notably, relating to issues around transferring patients from the ward to theatre. CONCLUSIONS: We have identified a statistically significant improvement in reducing theatre start time delays following the introduction of the initiative. This relatively simple intervention improved communication amongst the multidisciplinary team and led to a notable improvement in the service provided to patients by reducing start time delays. Through tackling identified areas, we hope to further reduce theatre start time delays leading not only to financial savings but also to further improvements in the quality of care provided to our neurosurgical patients.


Subject(s)
Neurosurgery , Operating Rooms , Communication , Hospitals , Humans , Retrospective Studies
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