Very low cerebral blood volume
Appearance
Very low cerebral blood volume (VLCBV) is a measurement of hemorrhagic transformation degree in the tissue surrounding the lesion in strokes. It is counted as one of the penumbral imaging procedures along with less commonly used methods such as diffusion-weighted imaging (DWI).[1] These are used to predict if there is going to be a hemorrhage after the treatment by tPA. In advanced centers, this measurement helps with using tPA beyond the standard time limit (4.5 hours) without risk of hemorrhage.[2][3]
References
- ^ Campbell BC, Christensen S, Butcher KS, Gordon I, Parsons MW, Desmond PM, et al. (January 2010). "Regional very low cerebral blood volume predicts hemorrhagic transformation better than diffusion-weighted imaging volume and thresholded apparent diffusion coefficient in acute ischemic stroke". Stroke. 41 (1): 82–88. doi:10.1161/STROKEAHA.109.562116. PMID 19959537. S2CID 11737560. Archived from the original on 2022-05-08.
{{cite journal}}
:|archive-date=
/|archive-url=
timestamp mismatch; 2022-08-06 suggested (help) - ^ "Very low cerebral blood volume predicts post-thrombolysis hemorrhage". medwirenews.com. 2009-12-14. Archived (PDF) from the original on 2022-08-06. Retrieved 2022-08-06.
- ^ Parsons M (November 2009). "Very Low Cerebral Blood Volume (VLCBV) – A New Predictor of Haemorrhagic Transformation after Thrombolysis for Acute Ischaemic Stroke". Journal of Clinical Neuroscience. 16 (11): 1527. doi:10.1016/j.jocn.2009.07.037. S2CID 54326527.
Further reading
- Davis S, Donnan GA (2014). "Time is Penumbra: imaging, selection and outcome. The Johann Jacob Wepfer Award 2014". Cerebrovascular Diseases. 38 (1): 59–72. doi:10.1159/000365503. PMID 25227260. S2CID 26397745.
- Etherton MR, Barreto AD, Schwamm LH, Wu O (15 May 2018). "Neuroimaging Paradigms to Identify Patients for Reperfusion Therapy in Stroke of Unknown Onset". Frontiers in Neurology. 9: 327. doi:10.3389/fneur.2018.00327. PMC 5962731. PMID 29867736.
- Flottmann F, Broocks G, Faizy TD, Ernst M, Forkert ND, Grosser M, et al. (July 2017). "CT-perfusion stroke imaging: a threshold free probabilistic approach to predict infarct volume compared to traditional ischemic thresholds". Scientific Reports. 7 (1): 6679. Bibcode:2017NatSR...7.6679F. doi:10.1038/s41598-017-06882-w. PMC 5532266. PMID 28751692.
- Kidwell CS (February 2013). "MRI biomarkers in acute ischemic stroke: a conceptual framework and historical analysis". Stroke. 44 (2): 570–578. doi:10.1161/strokeaha.111.626093. PMID 23132783.
- Nael K, Knitter JR, Jahan R, Gornbein J, Ajani Z, Feng L, et al. (March 2017). "Multiparametric Magnetic Resonance Imaging for Prediction of Parenchymal Hemorrhage in Acute Ischemic Stroke After Reperfusion Therapy". Stroke. 48 (3): 664–670. doi:10.1161/STROKEAHA.116.014343. PMC 5325250. PMID 28138001.