Kosior JC, Idris S, Dowlatshahi D et al (2011) Quantomo: validation of a computer-assisted methodology for the volumetric analysis of intracerebral haemorrhage. Urday S, Beslow LA, Goldstein DW et al (2015) Measurement of perihematomal edema in intracerebral hemorrhage. Volbers B, Staykov D, Wagner I et al (2011) Semi-automatic volumetric assessment of perihemorrhagic edema with computed tomography. Gonzales NR, Shah J, Sangha N et al (2013) Design of a prospective, dose-escalation study evaluating the Safety of Pioglitazone for Hematoma Resolution in Intracerebral Hemorrhage (SHRINC). Kollmar R, Juettler E, Huttner HB et al (2012) Cooling in Intracerebral Hemorrhage (CINCH) trial: protocol of a randomized German–Austrian clinical trial. Neurocrit Care 19(2):257–266įu Y, Hao J, Zhang N et al (2014) Fingolimod for the treatment of intracerebral hemorrhage: a 2-arm proof-of-concept study. Yeatts SD, Palesch YY, Moy CS, Selim M (2013) High Dose Deferoxamine in Intracerebral Hemorrhage (HI-DEF) trial: rationale, design, and methods. Yang J, Arima H, Wu G et al (2015) Prognostic significance of perihematomal edema in acute intracerebral hemorrhage: pooled analysis from the intensive blood pressure reduction in acute cerebral hemorrhage trial studies. Urday S, Kimberly WT, Beslow LA et al (2015) Targeting secondary injury in intracerebral haemorrhage–perihaematomal oedema. ![]() A powerful and easy-to-use predictor of 30-day mortality. Int J Stroke 9(7):840–855īroderick JP, Brott TG, Duldner JE, Tomsick T, Huster G (1993) Volume of intracerebral hemorrhage. Steiner T, Al-Shahi Salman R, Beer R et al (2014) European Stroke Organisation (ESO) guidelines for the management of spontaneous intracerebral hemorrhage. Hemphill JC 3rd, Greenberg SM, Anderson CS et al (2015) Guidelines for the management of spontaneous intracerebral hemorrhage: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Results of clinical and collaborative studies need to be considered in the context of these methodological differences. Our results demonstrate that the method used to determine voxel depth can influence the final volume output markedly. In scans with variable slice thickness, the volume underestimations were larger, −29%/−36 % for ICH and −29 %/−41 % for oedema. Compared to a best practice approach to volume calculation, the automated haematoma volume output was 2.6 mL (−11 %) too small with Analyze and 4.0 mL (−18 %) too small with Osirix, whilst the oedema volumes were 2.5 mL (−12 %) and 5.5 mL (−25 %) too small, correspondingly. There was excellent overall inter-rater, intra-rater and inter-software reliability, all intraclass correlation coefficients >0.918. Volumes reported by Analyze and Osirix were compared to volume estimates calculated using the best practice method, taking effective individual slice thickness, i.e. Three raters segmented all scans using both softwares and 20 scans repeated for intra-rater reliability and segmentation timing. We used Hounsfield Unit thresholds of 5–33 for oedema and 44–100 for ICH. We randomly selected 100 scans from 1329 ICH patients from two centres. ![]() We assessed the reliability of semi-automated computed tomography planimetry using Analyze and Osirix softwares. Haematoma and oedema size determines outcome after intracerebral haemorrhage (ICH), with each added 10 % volume increasing mortality by 5 %.
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