Literature DB >> 24976197

Characterization of intraventricular and intracerebral hematomas in non-contrast CT.

Wieslaw L Nowinski1, Ryszard S Gomolka2, Guoyu Qian2, Varsha Gupta2, Natalie L Ullman3, Daniel F Hanley3.   

Abstract

Characterization of hematomas is essential in scan reading, manual delineation, and designing automatic segmentation algorithms. Our purpose is to characterize the distribution of intraventricular (IVH) and intracerebral hematomas (ICH) in NCCT scans, study their relationship to gray matter (GM), and to introduce a new tool for quantitative hematoma delineation. We used 289 serial retrospective scans of 51 patients. Hematomas were manually delineated in a two-stage process. Hematoma contours generated in the first stage were quantified and enhanced in the second stage. Delineation was based on new quantitative rules and hematoma profiling, and assisted by a dedicated tool superimposing quantitative information on scans with 3D hematoma display. The tool provides: density maps (40-85HU), contrast maps (8/15HU), mean horizontal/vertical contrasts for hematoma contours, and hematoma contours below a specified mean contrast (8HU). White matter (WM) and GM were segmented automatically. IVH/ICH on serial NCCT is characterized by 59.0HU mean, 60.0HU median, 11.6HU standard deviation, 23.9HU mean contrast, -0.99HU/day slope, and -0.24 skewness (changing over time from negative to positive). Its 0.1(st)-99.9(th) percentile range corresponds to 25-88HU range. WM and GM are highly correlated (R (2)=0.88; p<10(-10)) whereas the GM-GS correlation is weak (R (2)=0.14; p<10(-10)). The intersection point of mean GM-hematoma density distributions is at 55.6±5.8HU with the corresponding GM/hematoma percentiles of 88(th)/40(th). Objective characterization of IVH/ICH and stating the rules quantitatively will aid raters to delineate hematomas more robustly and facilitate designing algorithms for automatic hematoma segmentation. Our two-stage process is general and potentially applicable to delineate other pathologies on various modalities more robustly and quantitatively.

Entities:  

Keywords:  CLEAR; ICH; IVH; MISTIE; NCCT; hematoma; stroke

Mesh:

Substances:

Year:  2014        PMID: 24976197      PMCID: PMC4202894          DOI: 10.15274/NRJ-2014-10042

Source DB:  PubMed          Journal:  Neuroradiol J        ISSN: 1971-4009


  16 in total

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4.  White and gray matter of the brain differentiated by computed tomography.

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5.  Brain density and cerebrospinal fluid space size: CT of normal volunteers.

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Journal:  Invest Radiol       Date:  2013-09       Impact factor: 6.016

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Authors:  Wendy C Ziai; Stanley Tuhrim; Karen Lane; Nichol McBee; Kennedy Lees; Jesse Dawson; Kenneth Butcher; Paul Vespa; David W Wright; Penelope M Keyl; A David Mendelow; Carlos Kase; Christine Wijman; Marc Lapointe; Sayona John; Richard Thompson; Carol Thompson; Steven Mayo; Pat Reilly; Scott Janis; Issam Awad; Daniel F Hanley
Journal:  Int J Stroke       Date:  2013-08-28       Impact factor: 5.266

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