BACKGROUND: The degree of variability in the rate of early diffusion-weighted imaging expansion in acute stroke has not been well characterized. AIM: We hypothesized that patients with slowly expanding diffusion-weighted imaging lesions would have more penumbral salvage and better clinical outcomes following endovascular reperfusion than patients with rapidly expanding diffusion-weighted imaging lesions. METHODS: In the first part of this substudy of DEFUSE 2, growth curves were constructed for patients with >90% reperfusion and <10% reperfusion. Next, the initial growth rate was determined in all patients with a clearly established time of symptom onset, assuming a lesion volume of 0 ml just prior to symptom onset. Patients who achieved reperfusion (>50% reduction in perfusion-weighted imaging after endovascular therapy) were categorized into tertiles according to their initial diffusion-weighted imaging growth rates. For each tertile, penumbral salvage [comparison of final volume to the volume of perfusion-weighted imaging (Tmax > 6 s)/diffusion-weighted imaging mismatch prior to endovascular therapy], favorable clinical response (National Institutes of Health Stroke Scale improvement of ≥8 points or 0-1 at 30 days), and good functional outcome (90-day modified Rankin score of ≤2) were calculated. A multivariate model assessed whether infarct growth rates were an independent predictor of clinical outcomes. RESULTS: Sixty-five patients were eligible for this study; the median initial growth rate was 3·1 ml/h (interquartile range 0·7-10·7). Target mismatch patients (n = 42) had initial growth rates that were significantly slower than the growth rates in malignant profile (n = 9 patients, P < 0·001). In patients who achieved reperfusion (n = 38), slower early diffusion-weighted imaging growth rates were associated with better clinical outcomes (P < 0·05) and a trend toward more penumbral salvage (n = 31, P = 0·103). A multivariate model demonstrated that initial diffusion-weighted imaging growth rate was an independent predictor of achieving a 90-day modified Rankin score of ≤2. CONCLUSIONS: The growth rate of early diffusion-weighted imaging lesions in acute stroke patients is highly variable; malignant profile patients have higher growth rates than patients with target mismatch. A slower rate of early diffusion-weighted imaging growth is associated with a greater degree of penumbral salvage and improved clinical outcomes following endovascular reperfusion.
BACKGROUND: The degree of variability in the rate of early diffusion-weighted imaging expansion in acute stroke has not been well characterized. AIM: We hypothesized that patients with slowly expanding diffusion-weighted imaging lesions would have more penumbral salvage and better clinical outcomes following endovascular reperfusion than patients with rapidly expanding diffusion-weighted imaging lesions. METHODS: In the first part of this substudy of DEFUSE 2, growth curves were constructed for patients with >90% reperfusion and <10% reperfusion. Next, the initial growth rate was determined in all patients with a clearly established time of symptom onset, assuming a lesion volume of 0 ml just prior to symptom onset. Patients who achieved reperfusion (>50% reduction in perfusion-weighted imaging after endovascular therapy) were categorized into tertiles according to their initial diffusion-weighted imaging growth rates. For each tertile, penumbral salvage [comparison of final volume to the volume of perfusion-weighted imaging (Tmax > 6 s)/diffusion-weighted imaging mismatch prior to endovascular therapy], favorable clinical response (National Institutes of Health Stroke Scale improvement of ≥8 points or 0-1 at 30 days), and good functional outcome (90-day modified Rankin score of ≤2) were calculated. A multivariate model assessed whether infarct growth rates were an independent predictor of clinical outcomes. RESULTS: Sixty-five patients were eligible for this study; the median initial growth rate was 3·1 ml/h (interquartile range 0·7-10·7). Target mismatch patients (n = 42) had initial growth rates that were significantly slower than the growth rates in malignant profile (n = 9 patients, P < 0·001). In patients who achieved reperfusion (n = 38), slower early diffusion-weighted imaging growth rates were associated with better clinical outcomes (P < 0·05) and a trend toward more penumbral salvage (n = 31, P = 0·103). A multivariate model demonstrated that initial diffusion-weighted imaging growth rate was an independent predictor of achieving a 90-day modified Rankin score of ≤2. CONCLUSIONS: The growth rate of early diffusion-weighted imaging lesions in acute strokepatients is highly variable; malignant profile patients have higher growth rates than patients with target mismatch. A slower rate of early diffusion-weighted imaging growth is associated with a greater degree of penumbral salvage and improved clinical outcomes following endovascular reperfusion.
Authors: Maarten G Lansberg; Jun Lee; Soren Christensen; Matus Straka; Deidre A De Silva; Michael Mlynash; Bruce C Campbell; Roland Bammer; Jean-Marc Olivot; Patricia Desmond; Stephen M Davis; Geoffrey A Donnan; Gregory W Albers Journal: Stroke Date: 2011-04-14 Impact factor: 7.914
Authors: Maarten G Lansberg; Matus Straka; Stephanie Kemp; Michael Mlynash; Lawrence R Wechsler; Tudor G Jovin; Michael J Wilder; Helmi L Lutsep; Todd J Czartoski; Richard A Bernstein; Cherylee W J Chang; Steven Warach; Franz Fazekas; Manabu Inoue; Aaryani Tipirneni; Scott A Hamilton; Greg Zaharchuk; Michael P Marks; Roland Bammer; Gregory W Albers Journal: Lancet Neurol Date: 2012-09-04 Impact factor: 44.182
Authors: Gregory W Albers; Vincent N Thijs; Lawrence Wechsler; Stephanie Kemp; Gottfried Schlaug; Elaine Skalabrin; Roland Bammer; Wataru Kakuda; Maarten G Lansberg; Ashfaq Shuaib; William Coplin; Scott Hamilton; Michael Moseley; Michael P Marks Journal: Ann Neurol Date: 2006-11 Impact factor: 10.422
Authors: Michael Mlynash; Maarten G Lansberg; Deidre A De Silva; Jun Lee; Soren Christensen; Matus Straka; Bruce C V Campbell; Roland Bammer; Jean-Marc Olivot; Patricia Desmond; Geoffrey A Donnan; Stephen M Davis; Gregory W Albers Journal: Stroke Date: 2011-04-07 Impact factor: 7.914
Authors: Mark W Parsons; Soren Christensen; Patrick McElduff; Christopher R Levi; Ken S Butcher; Deidre A De Silva; Martin Ebinger; P Alan Barber; Christopher Bladin; Geoffrey A Donnan; Stephen M Davis Journal: J Cereb Blood Flow Metab Date: 2010-01-20 Impact factor: 6.200
Authors: Stephen M Davis; Geoffrey A Donnan; Mark W Parsons; Christopher Levi; Kenneth S Butcher; Andre Peeters; P Alan Barber; Christopher Bladin; Deidre A De Silva; Graham Byrnes; Jonathan B Chalk; John N Fink; Thomas E Kimber; David Schultz; Peter J Hand; Judith Frayne; Graeme Hankey; Keith Muir; Richard Gerraty; Brian M Tress; Patricia M Desmond Journal: Lancet Neurol Date: 2008-02-28 Impact factor: 44.182
Authors: Gregory W Albers; Michael P Marks; Stephanie Kemp; Soren Christensen; Jenny P Tsai; Santiago Ortega-Gutierrez; Ryan A McTaggart; Michel T Torbey; May Kim-Tenser; Thabele Leslie-Mazwi; Amrou Sarraj; Scott E Kasner; Sameer A Ansari; Sharon D Yeatts; Scott Hamilton; Michael Mlynash; Jeremy J Heit; Greg Zaharchuk; Sun Kim; Janice Carrozzella; Yuko Y Palesch; Andrew M Demchuk; Roland Bammer; Philip W Lavori; Joseph P Broderick; Maarten G Lansberg Journal: N Engl J Med Date: 2018-01-24 Impact factor: 91.245
Authors: Mohammed Salman Shazeeb; Robert M King; Olivia W Brooks; Ajit S Puri; Nils Henninger; Johannes Boltze; Matthew J Gounis Journal: Transl Stroke Res Date: 2019-09-03 Impact factor: 6.829