OBJECTIVE: Patients with spontaneous intracerebral hemorrhage (ICH) presenting within 24 hours of symptom onset are known to be increased risk of hematoma expansion which is closely correlated with morbidity and mortality. We investigated whether tiny enhancing foci ('Spot sign') on axial view of 3-dimensional computed tomography angiography (3D-CTA) source images can predict subsequent hematoma expansion in spontaneous ICH. METHODS: During a 2-year period (March 2007-March 2009), we prospectively evaluated 3D-CTA of 110 patients with spontaneous ICH. Based on source images of 3D-CTA, patients were classified according to presence or absence of 'Spot sign'; 'Spot sign' (+) group, 'Spot sign' (-) group. Radiological factors and clinical outcomes were compared between two groups. RESULTS: Hematoma expansion occurred in 16 patients (15%). Mean Glasgow Coma Scale (GCS) score of patients with hematoma expansion was significantly different compared to score of patients without hematoma expansion (5 vs. 9, p < 0.001). Nineteen patients (16%) of 110 ICH patients demonstrated 'spot sign' on 3D-CTA. Among the 'spot sign' (+) group, 53% of patients developed hematoma expansion. Conversely 7% of patients without 'spot sign' demonstrated the hematoma expansion (p < 0.001). Initial volume and location of hematoma were significantly not associated with hematoma expansion except shape of hematoma. CONCLUSION: Our study showed that patients with hematoma expansion of spontaneous ICH had significant clinical deterioration. And the fact that 'spot sign' (+) group have higher risk of hematoma expansion suggests the presence of 'spot sign' on source images of 3D-CTA can give a clue to predict hematoma expansion in spontaneous ICH.
OBJECTIVE:Patients with spontaneous intracerebral hemorrhage (ICH) presenting within 24 hours of symptom onset are known to be increased risk of hematoma expansion which is closely correlated with morbidity and mortality. We investigated whether tiny enhancing foci ('Spot sign') on axial view of 3-dimensional computed tomography angiography (3D-CTA) source images can predict subsequent hematoma expansion in spontaneous ICH. METHODS: During a 2-year period (March 2007-March 2009), we prospectively evaluated 3D-CTA of 110 patients with spontaneous ICH. Based on source images of 3D-CTA, patients were classified according to presence or absence of 'Spot sign'; 'Spot sign' (+) group, 'Spot sign' (-) group. Radiological factors and clinical outcomes were compared between two groups. RESULTS:Hematoma expansion occurred in 16 patients (15%). Mean Glasgow Coma Scale (GCS) score of patients with hematoma expansion was significantly different compared to score of patients without hematoma expansion (5 vs. 9, p < 0.001). Nineteen patients (16%) of 110 ICHpatients demonstrated 'spot sign' on 3D-CTA. Among the 'spot sign' (+) group, 53% of patients developed hematoma expansion. Conversely 7% of patients without 'spot sign' demonstrated the hematoma expansion (p < 0.001). Initial volume and location of hematoma were significantly not associated with hematoma expansion except shape of hematoma. CONCLUSION: Our study showed that patients with hematoma expansion of spontaneous ICH had significant clinical deterioration. And the fact that 'spot sign' (+) group have higher risk of hematoma expansion suggests the presence of 'spot sign' on source images of 3D-CTA can give a clue to predict hematoma expansion in spontaneous ICH.
Authors: Andrea Morotti; H Bart Brouwers; Javier M Romero; Michael J Jessel; Anastasia Vashkevich; Kristin Schwab; Mohammad Rauf Afzal; Christy Cassarly; Steven M Greenberg; Renee Hebert Martin; Adnan I Qureshi; Jonathan Rosand; Joshua N Goldstein Journal: JAMA Neurol Date: 2017-08-01 Impact factor: 18.302
Authors: L Letourneau-Guillon; T Huynh; R Jakobovic; R Milwid; S P Symons; R I Aviv Journal: AJNR Am J Neuroradiol Date: 2012-10-18 Impact factor: 3.825
Authors: J M Romero; H R Kelly; J E Delgado Almandoz; J Hernandez-Siman; J C Passanese; M H Lev; R G González Journal: AJNR Am J Neuroradiol Date: 2013-02-28 Impact factor: 3.825
Authors: Dar Dowlatshahi; H Bart Brouwers; Andrew M Demchuk; Michael D Hill; Richard I Aviv; Lee-Anne Ufholz; Michael Reaume; Max Wintermark; J Claude Hemphill; Yasuo Murai; Yongjun Wang; Xingquan Zhao; Yilong Wang; Na Li; Takatoshi Sorimachi; Mitsunori Matsumae; Thorsten Steiner; Timolaos Rizos; Steven M Greenberg; Javier M Romero; Jonathan Rosand; Joshua N Goldstein; Mukul Sharma Journal: Stroke Date: 2016-02-04 Impact factor: 7.914