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Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan).
Conclusion: Our preliminary results suggested a probability of the DL-based prediction models for stroke occurrence only by meteorological and calendar factors. In the future, by synchronizing a variety of medical information among the electronic medical records and personal smartphones as well as integrating the physical activities or meteorological conditions in real time, the prediction of stroke occurrence could be performed with high accuracy, to save medical resources, to have patients care for themselves, and to perform efficient medicine. PMID: 33598347 [PubMed]
Source: Surgical Neurology International - February 21, 2021 Category: Neurosurgery Tags: Surg Neurol Int Source Type: research

Predicting ischemic stroke after carotid artery stenting based on proximal calcification and the jellyfish sign.
CONCLUSIONS The jellyfish sign, proximal Ca, and LDL cholesterol were considered to be important predictors for new DWI lesions after CAS. These 3 factors can be easily determined during a standard clinical visit. Thus, these 3 variables-especially the jellyfish sign and proximal Ca-may be useful for reducing the ischemic stroke risk in patients with stenosis of the cervical carotid artery. PMID: 28686117 [PubMed - as supplied by publisher]
Source: Journal of Neurosurgery - July 7, 2017 Category: Neurosurgery Authors: Ichinose N, Hama S, Tsuji T, Soh Z, Hayashi H, Kiura Y, Sakamoto S, Okazaki T, Ishii D, Shinagawa K, Kurisu K Tags: J Neurosurg Source Type: research

Machine learning and acute stroke imaging
Conclusions ML in acute ischemic stroke imaging has already made tremendous headway. Additional applications and further integration with clinical care is inevitable. Thus, facility with these approaches is critical for the neurointerventional clinician.
Source: Journal of NeuroInterventional Surgery - January 11, 2023 Category: Neurosurgery Authors: Sheth, S. A., Giancardo, L., Colasurdo, M., Srinivasan, V. M., Niktabe, A., Kan, P. Tags: Neuroimaging Source Type: research

Ctbrain machine learning predicts stroke thrombolysis result
Conclusions This proof-of-concept study shows that machine learning methods applied to acute stroke CT-scans potentially offers automation, and improved performance in SICH prediction following thrombolysis. Larger-scale cohorts, and incorporation of CT perfusion/angiography data, should be tested with such methods.
Source: Journal of Neurology, Neurosurgery and Psychiatry - September 9, 2014 Category: Neurosurgery Authors: Epton, S., Bentley, P., Ganesalingam, J., Dias, A., Mahady, K., Rinne, P., Sharma, P., Halse, O., Mehta, A., Rueckert, D. Tags: Abstracts Source Type: research

Rapid learning curve for Solitaire FR stent retriever therapy: evidence from roll-in and randomised patients in the SWIFT trial
Conclusions Thrombectomy in AIS using the Solitaire stent retriever device can be performed safely and effectively when used by experienced neurointerventionalists without previous experience with the device. Trial registration number The SWIFT study is registered with ClinicalTrials.gov, number NCT 01054560.
Source: Journal of NeuroInterventional Surgery - March 15, 2016 Category: Neurosurgery Authors: Sheth, S. A., Jahan, R., Levy, E. I., Jovin, T. G., Baxter, B., Nogueira, R. G., Clark, W., Budzik, R., Zaidat, O. O., Saver, J. L., for the SWIFT Trialists Tags: Ischemic stroke Source Type: research

A Neurosurgical Stratagem: Doing the Same with Less?
We have read and much appreciated the article by Ma et  al.,1 entitled “Endoscopic Evacuation of Basal Ganglia Hematoma: Surgical Technique, Outcome and Learning Curve,” recently published in WORLD NEUROSURGERY, in which the authors describe their experience with evacuation of basal ganglia hematomas through minimally invasive surgery by an endosco pic technique. Intracerebral hemorrhage (ICH) is the most common type of stroke, accounting for up to 15% of all stroke cases. ICH incidence has increased with advanced age, and its prognosis remains poor.
Source: World Neurosurgery - August 24, 2017 Category: Neurosurgery Authors: Nicola Alberio, Rosario Maugeri, Roberto Giuseppe Giammalva, Domenico Gerardo Iacopino, Salvatore Cicero, Natale Francaviglia, Roberto Battaglia Tags: Letter to the Editor Source Type: research

Randomized Pilot Trial of Intensive Management of Blood Pressure or Volume Expansion in Subarachnoid Hemorrhage (IMPROVES)
CONCLUSION: This pilot study showed adequate feasibility and excellent retention to follow-up. Given the suggestion of possible worse neurobehavioral outcome with ABP, a larger trial to determine the optimal blood pressure management in this patient population is warranted. (ClinTrials.gov NCT01414894.) ABBREVIATIONS: ABP, augmented blood pressure CBP, conventional DCI, delayed cerebral ischemia GOSE, Glasgow Outcome Scale-Extended HV, volume expansion mRS, modified Rankin Scale NV, normovolemia PHQ-9, Patient Health Questionnaire RAVLT, Ray Auditory Verbal Learning Test SWLS, Satisfaction with Life scale TCD, transcranial...
Source: Neurosurgery - January 20, 2015 Category: Neurosurgery Tags: Research-Human-Clinical Trials Source Type: research

E-046 Length of stay in mechanical thrombectomy, and machine learning improvement of predictive analysis
Conclusions Machine learning methods outperform multivariate logistic regression at the prediction of length of stay. Predictive analysis for patient length of stay could help hospital utilization and allow for more aggressive measures to prevent hospital acquired conditions. Disclosures S. Arndt: None. G. Bennett: None. K. Wojcik: None. A. Albar: None. M. Alhasan: None. J. Ma: None. P. Gulotta: None. J. Milburn: None.
Source: Journal of NeuroInterventional Surgery - July 23, 2017 Category: Neurosurgery Authors: Arndt, S., Bennett, G., Wojcik, K., Albar, A., Alhasan, M., Ma, J., Gulotta, P., Milburn, J. Tags: Electronic Poster Abstracts Source Type: research

Prediction of bleb formation in intracranial aneurysms using machine learning models based on aneurysm hemodynamics, geometry, location, and patient population
Conclusions Based on the premise that aneurysm characteristics prior to bleb formation resemble those derived from vascular reconstructions with their blebs virtually removed, machine learning models can identify aneurysms prone to bleb development with good accuracy. Pending further validation with longitudinal data, these models may prove valuable for assessing the propensity of IAs to progress to vulnerable states and potentially rupturing.
Source: Journal of NeuroInterventional Surgery - September 14, 2022 Category: Neurosurgery Authors: Salimi Ashkezari, S. F., Mut, F., Slawski, M., Cheng, B., Yu, A. K., White, T. G., Woo, H. H., Koch, M. J., Amin-Hanjani, S., Charbel, F. T., Rezai Jahromi, B., Niemelä, M., Koivisto, T., Frosen, J., Tobe, Y., Maiti, S., Robertson, A. M., Cebral, Tags: Hemorrhagic stroke Source Type: research

E-236 Automated pre- and post-operative volumes estimates risk of retreatment in chronic subdural hematoma: a retrospective, multi-center study
Conclusions/RelevanceLarger pre- and post-operative cSDH volumes increase the risk of cSDH retreatment. Volume thresholds may allow identification of patients at high risk of cSDH retreatment who would benefit from adjunct treatments. Machine learning algorithm can quickly provide accurate estimates of pre and post operative volumes.Disclosures J. Vargas: 2; C; Viz.AI, Synchron, Borvo, Imperative Care. 4; C; Viz.AI, Imperative Care, Cerenovus, Q’APel. M. Pease: None. M. Snyder: None. J. Blalock: None. S. Wu: None. E. Nwachuku: None. A. Mital: None. D. Okonkwo: None. R. Kellogg: 2; C; VizAI, Cerenovus, Imperative Care. 4; C; VizAI.
Source: Journal of NeuroInterventional Surgery - July 30, 2023 Category: Neurosurgery Authors: Vargas, J., Pease, M., Snyder, M., Blalock, J., Wu, S., Nwachuku, E., Mital, A., Okonkwo, D., Kellogg, R. Tags: SNIS 20th annual meeting electronic poster abstracts Source Type: research