@article{McKinleyJCBFM2016,
	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},
	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},
	Title = {Fully automated stroke tissue estimation using random forest classifiers (FASTER)},
	Url = {http://jcb.sagepub.com/content/early/2016/10/18/0271678X16674221.abstract},
	Year = {2016},
	Bdsk-File-1 = {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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}}