@article{McKinleyJCBFM2017,
	abstract = {Several clinical trials have recently proven the efficacy of mechanical thrombectomy for treating ischemic stroke, within a six-hour window for therapy. To move beyond treatment windows and toward personalized risk assessment, it is essential to accurately identify the extent of tissue-at-risk (``penumbra''). We introduce a fully automated method to estimate the penumbra volume using multimodal MRI (diffusion-weighted imaging, a T2w- and T1w contrast-enhanced sequence, and dynamic susceptibility contrast perfusion MRI). The method estimates tissue-at-risk by predicting tissue damage in the case of both persistent occlusion and of complete recanalization. When applied to 19 test cases with a thrombolysis in cerebral infarction grading of 1--2a, mean overestimation of final lesion volume was 30 ml, compared with 121 ml for manually corrected thresholding. Predicted tissue-at-risk volume was positively correlated with final lesion volume (p < 0.05). We conclude that prediction of tissue damage in the event of either persistent occlusion or immediate and complete recanalization, from spatial features derived from MRI, provides a substantial improvement beyond predefined thresholds. It may serve as an alternative method for identifying tissue-at-risk that may aid in treatment selection in ischemic stroke.},
	author = {McKinley R. and Haeni L. and Gralla J. and El-Koussy M. and Bauer S. and Arnold M. and Fischer U. and Jung S. and Mattmann K. and Reyes M. and Wiest R.},
	date-added = {2016-10-27 08:04:37 +0000},
	date-modified = {2017-09-08 13:55:40 +0000},
	doi = {10.1177/0271678X16674221},
	eprint = {http://jcb.sagepub.com/content/early/2016/10/18/0271678X16674221.full.pdf+html},
	journal = {Journal of Cerebral Blood Flow and Metabolism},
	month = {August},
	number = {8},
	pages = {2728-2741},
	title = {Fully automated stroke tissue estimation using random forest classifiers (FASTER)},
	url = {http://jcb.sagepub.com/content/early/2016/10/18/0271678X16674221.abstract},
	volume = {37},
	year = {2017},
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	Bdsk-Url-1 = {http://jcb.sagepub.com/content/early/2016/10/18/0271678X16674221.abstract},
	Bdsk-Url-2 = {http://dx.doi.org/10.1177/0271678X16674221}}