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Stent retrievers and acute stroke treatment: a rapid learning curve for experienced neurointerventional surgeons
A study by Sheth et al1 has examined the safety and efficacy of thrombectomy for acute ischemic stroke (AIS) using the Solitaire stent retriever device for patients treated in the roll-in phase of the Solitaire With the Intention For Thrombectomy (SWIFT) trial. This is a well designed study aimed at determining the learning curve for operators who had not previously used Solitaire for the treatment of emergent large vessel occlusion (ELVO). The roll-in period entailed treatment of two patients with the Solitaire device, before proceeding to the randomized phase of the trial. This represented the first clinical use of the s...
Source: Journal of NeuroInterventional Surgery - January 12, 2017 Category: Neurosurgery Authors: Mack, W. J. Tags: Commentary Source Type: research

Impedance-based sensors discriminate among different types of blood thrombi with very high specificity and sensitivity
Conclusions Combining EIS measurements with machine learning provides a highly effective approach for discriminating among different thrombus types and liquid blood. These findings raise the possibility of developing a probe-like device (eg, a neurovascular guidewire) integrating an impedance-based sensor. This sensor, placed in the distal part of the smart device, would allow the characterization of the probed thrombus on contact. The information could help physicians identify optimal thrombectomy strategies to improve outcomes for stroke patients.
Source: Journal of NeuroInterventional Surgery - May 16, 2023 Category: Neurosurgery Authors: Messina, P., Garcia, C., Rambeau, J., Darcourt, J., Balland, R., Carreel, B., Cottance, M., Gusarova, E., Lafaurie-Janvore, J., Lebedev, G., Bozsak, F., Barakat, A. I., Payrastre, B., Cognard, C. Tags: Open access, Ischemic stroke Source Type: research

E-076 improvement of patient care, quality and research through an automated cerebrovascular data collection (acdc)
ConclusionsAccess to real-time patient data will allow for improved clinical quality at the point of care. It will provide healthcare providers the ability to impact care prior to discharge which benefits patients, the clinical team, and Vanderbilt as a whole. Uniformity in data collection will reduce system redundancies and streamline clinical workflow. Currently VUMC employs two individuals for the sole purpose of manually abstracting stroke patient data. By reducing the burden of manual data abstraction, we will implement a cost-saving application which improves patient care at VUMC through increased efforts towards imp...
Source: Journal of NeuroInterventional Surgery - July 26, 2015 Category: Neurosurgery Authors: Gilchrist, E., Burks, B., Espaillat, K., Fortenberry, T., Baggett, S., Kearney, M., Goggins, B., He, L., Mocco, J., Froehler, M. Tags: SNIS 12th Annual Meeting Electronic Poster Abstracts Source Type: research

Change is everything
As we endure another winter surge of the coronavirus, I reflect on what we’ve learnt about the pandemic and its impact on our field. Many important trends were published and debated on the pages of JNIS.1–3 These include the global decline in the presentation of patients with stroke, unique challenges in the triaging of emergently ill patients with cerebrovascular disease, workplace fatigue and burnout among interventional surgeons and support staff and, most disturbingly, disparities in mechanical thrombectomy (MT) rates in our minority communities. In their prospective analysis of the Stroke Thrombectomy and ...
Source: Journal of NeuroInterventional Surgery - January 18, 2022 Category: Neurosurgery Authors: Albuquerque, F. C. Tags: Editor ' s column Source Type: research

Thrombosis origin identification of cardioembolism and large artery atherosclerosis by distinct metabolites
Conclusions Six metabolites as potential predictors for distinguishing between cerebral thrombi of CE and LAA origin were identified. The results are useful for understanding the pathogenesis and for secondary stroke prevention.
Source: Journal of NeuroInterventional Surgery - June 16, 2023 Category: Neurosurgery Authors: Li, W., Bai, X., Hao, J., Xu, X., Lin, F., Jiang, Q., Ding, C., Dai, G., Peng, F., Zhang, M., Feng, Y., Wang, J., Chen, X., Xue, T., Guo, X., Fu, Z., Chen, W.-h., Zhang, L., Wang, C., Jiao, L. Tags: Basic science 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

Diagnostic performance of an algorithm for automated large vessel occlusion detection on CT angiography
Conclusion The algorithm provided a high detection rate for proximal LVO, but performance varied significantly by occlusion location. Detection of M2 occlusion needs further improvement.
Source: Journal of NeuroInterventional Surgery - July 14, 2022 Category: Neurosurgery Authors: Luijten, S. P. R., Wolff, L., Duvekot, M. H. C., van Doormaal, P.-J., Moudrous, W., Kerkhoff, H., Lycklama a Nijeholt, G. J., Bokkers, R. P. H., Yo, L. S. F., Hofmeijer, J., van Zwam, W. H., van Es, A. C. G. M., Dippel, D. W. J., Roozenbeek, B., van der L Tags: Open access, Vascular neurology 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

P53 ESMINT/EYMINT E-fellowship - experiences from two seasons and implications for future neurointerventional tele-observerships
ConclusionsTele-observerships may facilitate location-independent training of complex neurointerventional procedures through high levels of situational awareness. Future programs will have to incorporate individual training schedules to enable fellows to better attend complex elective procedures.ReferencesBechstein M, Elsheikh S, Wodarg F, et al. Republished: Interhospital Teleproctoring of Endovascular Intracranial Aneurysm Treatment Using a Dedicated Live-streaming Technology: First Experiences during the Covid-19 Pandemic. J Neurointerv Surg 2021;13(2):E1.Bechstein M, Buhk JH, Frolich AM, et al. Training and Supervision...
Source: Journal of NeuroInterventional Surgery - August 29, 2022 Category: Neurosurgery Authors: Bechstein, M., Hanning, U., Martinez-Galdamez, M., Kalousek, V., Fiehler, J., Guerreiro, H. Tags: 14th Congress of the European Society of Minimally Invasive Neurological Therapy 2022 Meeting Abstracts Source Type: research

P94 Deep learning-based automated device detection for assessment standardisation in mechanical thrombectomy
ConclusionAutomated DSA assessment on device presence and differentiation is feasible. Its application on evaluation of wider data-sets should be further evaluated.ReferencesNielsen M, Waldmann M, Frölich, et al. Deep learning-based automated thrombolysis in cerebral infarction scoring: a timely proof-of-principle study. Stroke 2021 Nov;52(11):3497–504.Vaswani A, Shazeer N, Parmar N, et al. Attention is all You Need. Advances in Neural Information Processing Systems. 2017;30.Ali A, Touvron H, Caron M, et al. XCIT: Cross-Covariance Image Transformers. Advances in Neural Information Processing Systems. 2021 Dec...
Source: Journal of NeuroInterventional Surgery - August 29, 2022 Category: Neurosurgery Authors: Guerreiro, H., Nielsen, M., Sentker, T., Schmidt, E., Kniep, H., Fiehler, J., Werner, R. Tags: 14th Congress of the European Society of Minimally Invasive Neurological Therapy 2022 Meeting Abstracts Source Type: research

E-186 Assessing congruency of first pass effect on outcomes in mechanical thrombectomy for large vessel occlusions via unsupervised machine learning
This study was approved by the local institutional review board (IRB). Clustered outcomes to formulate clusters included the number of passes, the final reperfusion obtained, the discharge NIHSS, and complications. FPE was defined as TICI 2C or 3 reperfusions on the first pass. Uniform manifold approximations and projections (UMAP) and K-means unsupervised clustering were done to identify outcome clusters. Logistic regression with and without interaction coefficients was used to determine associated factors with cluster membership or FPE. P-values less than 0.05 were considered significant.Results287 consecutive patients w...
Source: Journal of NeuroInterventional Surgery - July 30, 2023 Category: Neurosurgery Authors: Catapano, J., Naik, A., Koester, S., Singh, R., Ostinnington, H., Rangel, I., Desai, S., Winkler, E., Ducruet, A., Albuquerque, F., Jadhav, A. Tags: SNIS 20th annual meeting electronic poster abstracts 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

O32/312 Continuous evaluation of the ESMINT/EYMINT E-fellowship as a European tele-learning network for neurointerventional trainees
ConclusionTele-observerships may supplement neurointerventional hands-on training in particular of low-frequency high-complexity procedures.Disclosure of InterestMatthias Bechstein: Nothing to discloseHelena Guerreiro: Nothing to discloseTeresa Nawka: Nothing to discloseVladimir Kalousek: Nothing to discloseJens Fiehler: Nothing to discloseUta Hanning: Nothing to disclose.
Source: Journal of NeuroInterventional Surgery - August 21, 2023 Category: Neurosurgery Authors: Bechstein, M., Guerreiro, H., Nawka, M. T., Kalousek, V., Fiehler, J., Paula Hanning, U. M. Tags: 3.3 OTHER - Miscellaneous Source Type: research

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