Literature DB >> 23674525

The striate artery, hematoma, and spot sign on coronal images of computed tomography angiography in putaminal intracerebral hemorrhage.

Takatoshi Sorimachi1, Takahiro Osada, Tanefumi Baba, Go Inoue, Hideki Atsumi, Hideo Ishizaka, Kazuko Hotta, Naokazu Hayashi, Mitsunori Matsumae.   

Abstract

BACKGROUND AND
PURPOSE: A spot sign is a bright spot on computed tomography angiography source images, which is predictive of hematoma growth in spontaneous intracerebral hemorrhage, although the cause of the spot sign is unclear. Our aim was to investigate the spot sign seen on computed tomography angiography and a striate artery, which is a presumed site of intracerebral hemorrhage bleeding origin in the putamen.
METHODS: In consecutive cases of spontaneous intracerebral hemorrhage in the putamen, spot signs and striate arteries were evaluated. Coronal reformat images of computed tomography angiography were created to visualize the striate arteries. Acute deterioration, defined as hematoma enlargement, emergency hematoma removal, or death within the day of admission, was reviewed.
RESULTS: Of the 141 patients undergoing computed tomography angiography, 15 of the 30 patients (50%) who had spot signs showed an intrahematoma striate artery (termed spot and tail sign), which was a linear density extending from the middle cerebral artery toward the spot sign. Acute deterioration occurred more frequently in patients who had a spot and tail sign compared with patients who had spot signs without intrahematoma striate arteries (P<0.05). Multivariate analysis revealed that hematoma volume, spot signs, and intrahematoma striate arteries were independent predictors of acute deterioration (P<0.05).
CONCLUSIONS: The presence of a spot and tail sign, assumed to indicate active bleeding from the striate artery, could be a more sensitive predictor of acute deterioration than the presence of a simple spot sign.

Entities:  

Keywords:  computed tomography angiography; intracerebral hemorrhage; perforator; predictors; spot sign

Mesh:

Year:  2013        PMID: 23674525     DOI: 10.1161/STROKEAHA.113.001498

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  6 in total

1.  Time course and predictors of neurological deterioration after intracerebral hemorrhage.

Authors:  Aaron S Lord; Emily Gilmore; H Alex Choi; Stephan A Mayer
Journal:  Stroke       Date:  2015-02-05       Impact factor: 7.914

Review 2.  Predicting Intracerebral Hemorrhage Growth With the Spot Sign: The Effect of Onset-to-Scan Time.

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

Review 3.  Prediction and observation of post-admission hematoma expansion in patients with intracerebral hemorrhage.

Authors:  Christian Ovesen; Inger Havsteen; Sverre Rosenbaum; Hanne Christensen
Journal:  Front Neurol       Date:  2014-09-29       Impact factor: 4.003

Review 4.  The accuracy of spot sign in predicting hematoma expansion after intracerebral hemorrhage: a systematic review and meta-analysis.

Authors:  Fei-Zhou Du; Rui Jiang; Ming Gu; Ci He; Jing Guan
Journal:  PLoS One       Date:  2014-12-26       Impact factor: 3.240

5.  Computed tomography angiography-based analysis of high-risk intracerebral haemorrhage patients by employing a mathematical model.

Authors:  Le Zhang; Jin Li; Kaikai Yin; Zhouyang Jiang; Tingting Li; Rong Hu; Zheng Yu; Hua Feng; Yujie Chen
Journal:  BMC Bioinformatics       Date:  2019-05-01       Impact factor: 3.169

6.  Leakage Sign for Primary Intracerebral Hemorrhage: A Novel Predictor of Hematoma Growth.

Authors:  Kimihiko Orito; Masaru Hirohata; Yukihiko Nakamura; Nobuyuki Takeshige; Takachika Aoki; Gousuke Hattori; Kiyohiko Sakata; Toshi Abe; Yuusuke Uchiyama; Teruo Sakamoto; Motohiro Morioka
Journal:  Stroke       Date:  2016-03-01       Impact factor: 7.914

  6 in total

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