BACKGROUND AND PURPOSE: Perfusion-computed tomography-source images (PCT-SI) may allow a dynamic assessment of leptomeningeal collateral arteries (LMC) filling and emptying in middle cerebral artery (MCA) ischaemic stroke. We described a regional LMC scale on PCT-SI and hypothesized that a higher collateral score would predict a better response to intravenous (iv) thrombolysis. METHODS: We studied consecutive ischaemic stroke patients with an acute MCA occlusion documented by transcranial Doppler/transcranial color-coded duplex, treated with iv thrombolysis who underwent PCT prior to treatment. Readers evaluated PCT-SI in a blinded fashion to assess LMC within the hypoperfused MCA territory. LMC scored as follows: 0, absence of vessels; 1, collateral supply filling ≤ 50%; 2, between> 50% and < 100%; 3, equal or more prominent when compared with the unaffected hemisphere. The scale was divided into good (scores 2-3) vs. poor (scores 0-1) collaterals. The predetermined primary end-point was a good 3-month functional outcome, while early neurological recovery, transcranial duplex-assessed 24-h MCA recanalization, 24-h hypodensity volume and hemorrhagic transformation were considered secondary end-points. RESULTS: Fifty-four patients were included (55.5% women, median NIHSS 10), and 4-13-23-14 patients had LMC score (LMCs) of 0-1-2-3, respectively. The probability of a good long-term outcome augmented gradually with increasing LMCs: (0) 0%; (1) 15.4%; (2) 65.2%; (3) 64.3%, P = 0.004. Good-LMCs was independently associated with a good outcome [OR 21.02 (95% CI 2.23-197.75), P = 0.008]. Patients with good LMCs had better early neurological recovery (P = 0.001), smaller hypodensity volumes (P < 0.001) and a clear trend towards a higher recanalization rate. CONCLUSIONS: A higher degree of LMC assessed by PCT-SI predicts good response to iv thrombolysis in MCA ischaemic stroke patients.
BACKGROUND AND PURPOSE: Perfusion-computed tomography-source images (PCT-SI) may allow a dynamic assessment of leptomeningeal collateral arteries (LMC) filling and emptying in middle cerebral artery (MCA) ischaemic stroke. We described a regional LMC scale on PCT-SI and hypothesized that a higher collateral score would predict a better response to intravenous (iv) thrombolysis. METHODS: We studied consecutive ischaemic strokepatients with an acute MCA occlusion documented by transcranial Doppler/transcranial color-coded duplex, treated with iv thrombolysis who underwent PCT prior to treatment. Readers evaluated PCT-SI in a blinded fashion to assess LMC within the hypoperfused MCA territory. LMC scored as follows: 0, absence of vessels; 1, collateral supply filling ≤ 50%; 2, between> 50% and < 100%; 3, equal or more prominent when compared with the unaffected hemisphere. The scale was divided into good (scores 2-3) vs. poor (scores 0-1) collaterals. The predetermined primary end-point was a good 3-month functional outcome, while early neurological recovery, transcranial duplex-assessed 24-h MCA recanalization, 24-h hypodensity volume and hemorrhagic transformation were considered secondary end-points. RESULTS: Fifty-four patients were included (55.5% women, median NIHSS 10), and 4-13-23-14 patients had LMC score (LMCs) of 0-1-2-3, respectively. The probability of a good long-term outcome augmented gradually with increasing LMCs: (0) 0%; (1) 15.4%; (2) 65.2%; (3) 64.3%, P = 0.004. Good-LMCs was independently associated with a good outcome [OR 21.02 (95% CI 2.23-197.75), P = 0.008]. Patients with good LMCs had better early neurological recovery (P = 0.001), smaller hypodensity volumes (P < 0.001) and a clear trend towards a higher recanalization rate. CONCLUSIONS: A higher degree of LMC assessed by PCT-SI predicts good response to iv thrombolysis in MCA ischaemic strokepatients.
Authors: K M Thierfelder; W H Sommer; B Ertl-Wagner; S E Beyer; F G Meinel; W G Kunz; G Buchholz; M F Reiser; H Janssen Journal: AJNR Am J Neuroradiol Date: 2016-02-11 Impact factor: 3.825
Authors: Latisha K Ali; Julius K Weng; Sidney Starkman; Jeffrey L Saver; Doojin Kim; Bruce Ovbiagele; Brian H Buck; Nerses Sanossian; Paul Vespa; Oh Young Bang; Reza Jahan; Gary R Duckwiler; Fernando Viñuela; David S Liebeskind Journal: Interv Neurol Date: 2016-09-30
Authors: S E Beyer; K M Thierfelder; L von Baumgarten; M Rottenkolber; F G Meinel; H Janssen; B Ertl-Wagner; M F Reiser; W H Sommer Journal: AJNR Am J Neuroradiol Date: 2014-12-18 Impact factor: 3.825
Authors: Lukas Havla; Kolja M Thierfelder; Sebastian E Beyer; Wieland H Sommer; Olaf Dietrich Journal: Eur Radiol Date: 2015-02-26 Impact factor: 5.315
Authors: Charlie Chia-Tsong Hsu; Gigi Nga Chi Kwan; Sachintha Hapugoda; Michelle Craigie; Trevor William Watkins; E Mark Haacke Journal: Neuroradiol J Date: 2017-01-01
Authors: Juan F Arenillas; Elisa Cortijo; Pablo García-Bermejo; Elad I Levy; Reza Jahan; David Liebeskind; Mayank Goyal; Jeffrey L Saver; Gregory W Albers Journal: J Cereb Blood Flow Metab Date: 2017-11-14 Impact factor: 6.200