Neurosurgery
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Multicenter Study
Preliminary Experience Suggests the Addition of Choroid Plexus Cauterization to Functional Hemispherectomy May Reduce Posthemispherectomy Hydrocephalus.
Cerebral hemispherectomy can effectively treat unihemispheric epilepsy. However, posthemispherectomy hydrocephalus (PHH), a serious life-long complication, remains prevalent, requiring careful considerations in technique selection and postoperative management. In 2016, we began incorporating open choroid plexus cauterization (CPC) into our institution's hemispherectomy procedure in an attempt to prevent PHH. ⋯ Preventing PHH is critical. Our early experience demonstrated that routinely incorporating CPC into hemispherectomy effectively prevents PHH without causing additional complications, especially in first-time hemispherectomies. A multicenter randomized controlled trial with long-term follow-up is required to corroborate the findings of our single-institutional case series and determine whether greater adoption of this technique is justified.
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Although chronological age is associated with mortality and morbidity after surgery for unruptured cerebral aneurysms (UCAs), there is little evidence regarding an association between the simplified 5-factor modified frailty index (mFI-5) and postoperative outcomes based on age group. ⋯ The mFI-5 score was a more useful associated factor of in-hospital complications than chronological age in patients younger than 74 years undergoing surgery for UCA.
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Multicenter Study
Methods and Impact for Using Federated Learning to Collaborate on Clinical Research.
The development of accurate machine learning algorithms requires sufficient quantities of diverse data. This poses a challenge in health care because of the sensitive and siloed nature of biomedical information. Decentralized algorithms through federated learning (FL) avoid data aggregation by instead distributing algorithms to the data before centrally updating one global model. ⋯ This study demonstrates the feasibility of implementing a federated network for multi-institutional collaboration among clinicians and using FL to conduct machine learning research, thereby opening a new paradigm for neurosurgical collaboration.