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Clinical Neuroradiology
Published in: Clinical Neuroradiology 4/2017

01-12-2017 | Editorial

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Author: Horst Urbach

Published in: Clinical Neuroradiology | Issue 4/2017

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Excerpt

Machine learning has been a topic of several scientific conferences in 2017 and its potential to aid the (neuro)radiologist is now widely accepted. The task is now to find applications so that our patients can benefit from machine learning. One possible application is the prediction of delayed cerebral ischemia (DCI) following acute aneurysmal subarachnoid hemorrhage. The low sensitivity of the Fisher scale in Fisher grade III patients and the superiority of the Hijdra scale has just been addressed in the September issue of Clinical Neuroradiology [1], when abstracts indicating the potential to predict DCI from dynamic susceptibility contrast (DSC) perfusion, digital subtraction angiography or computed tomography (CT) were presented at the 52nd Annual Conference of the German Society of Neuroradiology [2‐4]. …
Literature
1.
Bretz JS, Von Dincklage F, Woitzik J, Winkler MK, Major S, Dreier JP, Bohner G, Scheel M. The Hijdra scale has significant prognostic value for the functional outcome of Fisher grade 3 patients with subarachnoid hemorrhage. Clin Neuroradiol. 2017;27:361–9.CrossRefPubMed
2.
Rubbert C, Beseoglu K, May R, Turowski B, Mathys C, Caspers J. Vorhersage des funktionellen Outcomes nach Subarachnoidalblutung aus Daten der klinischen Frühphase mittels maschinellem Lernen. Clin Neuroradiol. 2017;27(Suppl 1):55–6.
3.
Maros M, Förster A, Al-Zghloul M, Böhme J, Neumaier Probst E, Groden C, Wenz H. Deep learning basierte Detektion zerebraler Vasospasmen anhand konventioneller digitaler Substraktionsangiogramme. Clin Neuroradiol. 2017;27(Suppl 1):102–3.
4.
Kohl S, Yang S, Kirchner JH, Rölz R, Urbach H, Egger K. „Machine Learning“ zur Prognose von „Delayed Cerebral Ischemia“ nach Subarachnoidalblutung. Clin Neuroradiol. 2017;27 (Suppl 1):92.
5.
Neumann A, Küchler J, Ditz C, Eckey T, Kemmling A, Schramm P. Wirksamkeit multipler endovaskulärer Behandlungen im Rahmen rekurrenter cerebraler Vasospasmen (CVS) bei aneurysmatischer SAB. Clin Neuroradiol. 2017;27(Suppl 1):74.
6.
AlMatter M, Aguilar Pérez M, Hellstern V, Serna Candel C, Bäzner H, Ganslandt O, Henkes H. Posthämorrhagischer Vasospasmus: Inzidenz, Behandlungsstrategien und Bedeutung für den klinischen Ausgang. Clin Neuroradiol. 2017;27(Suppl 1):27.
7.
Hensler J, Madjidyar J, Wodarg F, Jansen O. Spasmolyse mit dem Stentretriever bei Vasospasmen nach Subarachnoidalblutung. Clin Neuroradiol. 2017;27(Suppl 1):55.
8.
Roelz R, Coenen VA, Scheiwe C, Niesen WD, Egger K, Csok I, Kraeutle R, Jabbarli R, Urbach H, Reinacher PC. Stereotactic catheter ventriculocisternostomy for clearance of subarachnoid hemorrhage: a matched cohort study. Stroke. 2017;48(10):2704–9.CrossRefPubMed
Metadata
Title
Find Applications
Author
Horst Urbach
Publication date
01-12-2017
Publisher
Springer Berlin Heidelberg
Published in
Clinical Neuroradiology / Issue 4/2017
Print ISSN: 1869-1439
Electronic ISSN: 1869-1447
DOI
https://doi.org/10.1007/s00062-017-0649-x

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