Abilities of a densitometric analysis of computed tomography images and hemorrhagic parameters to predict outcome favorability in patients with intracerebral hemorrhage

Hakseung Kim, Xiaoke Yang, Young Hun Choi, Byung C. Yoon, Keewon Kim, Dong-Joo Kim

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

BACKGROUND: Intracerebral hemorrhage (ICH) is one of the most devastating subtypes of stroke. A rapid assessment of ICH severity involves the use of computed tomography (CT) and derivation of the hemorrhage volume, which is often estimated using the ABC/2 method. However, these estimates are highly inaccurate and may not be feasible for anticipating outcome favorability. OBJECTIVE: To predict patient outcomes via a quantitative, densitometric analysis of CT images, and to compare the predictive power of these densitometric parameters with the conventional ABC/2 volumetric parameter and segmented hemorrhage volumes. METHODS: Noncontrast CT images of 87 adult patients with ICH (favorable outcomes = 69, unfavorable outcomes = 12, and deceased = 6) were analyzed. In-house software was used to calculate the segmented hemorrhage volumes, ABC/2 and densitometric parameters, including the skewness and kurtosis of the density distribution, interquartile ranges, and proportions of specific pixels in sets of CT images. Nonparametric statistical analyses were conducted. RESULTS: The densitometric parameter interquartile range exhibited greatest accuracy (82.7%) in predicting favorable outcomes. The combination of skewness and the interquartile range effectively predicted mortality (accuracy = 83.3%). The actual volume of the ICH exhibited good coherence with ABC/2 (R = 0.79). Both parameters predicted mortality with moderate accuracy (<78%) but were less effective in predicting unfavorable outcomes. CONCLUSION: Hemorrhage volume was rapidly estimated and effectively predicted mortality in patients with ICH; however, this value may not be useful for predicting favorable outcomes. The densitometric analysis exhibited significantly higher power in predicting mortality and favorable outcomes in patients with ICH.

Original languageEnglish
Pages (from-to)226-236
Number of pages11
JournalClinical Neurosurgery
Volume83
Issue number2
DOIs
Publication statusPublished - 2018 Aug 1

Fingerprint

Cerebral Hemorrhage
Tomography
Hemorrhage
Mortality
Software
Stroke

Keywords

  • Computed tomography
  • Critical care
  • Intracerebral hemorrhage

ASJC Scopus subject areas

  • Surgery
  • Clinical Neurology

Cite this

Abilities of a densitometric analysis of computed tomography images and hemorrhagic parameters to predict outcome favorability in patients with intracerebral hemorrhage. / Kim, Hakseung; Yang, Xiaoke; Choi, Young Hun; Yoon, Byung C.; Kim, Keewon; Kim, Dong-Joo.

In: Clinical Neurosurgery, Vol. 83, No. 2, 01.08.2018, p. 226-236.

Research output: Contribution to journalArticle

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abstract = "BACKGROUND: Intracerebral hemorrhage (ICH) is one of the most devastating subtypes of stroke. A rapid assessment of ICH severity involves the use of computed tomography (CT) and derivation of the hemorrhage volume, which is often estimated using the ABC/2 method. However, these estimates are highly inaccurate and may not be feasible for anticipating outcome favorability. OBJECTIVE: To predict patient outcomes via a quantitative, densitometric analysis of CT images, and to compare the predictive power of these densitometric parameters with the conventional ABC/2 volumetric parameter and segmented hemorrhage volumes. METHODS: Noncontrast CT images of 87 adult patients with ICH (favorable outcomes = 69, unfavorable outcomes = 12, and deceased = 6) were analyzed. In-house software was used to calculate the segmented hemorrhage volumes, ABC/2 and densitometric parameters, including the skewness and kurtosis of the density distribution, interquartile ranges, and proportions of specific pixels in sets of CT images. Nonparametric statistical analyses were conducted. RESULTS: The densitometric parameter interquartile range exhibited greatest accuracy (82.7{\%}) in predicting favorable outcomes. The combination of skewness and the interquartile range effectively predicted mortality (accuracy = 83.3{\%}). The actual volume of the ICH exhibited good coherence with ABC/2 (R = 0.79). Both parameters predicted mortality with moderate accuracy (<78{\%}) but were less effective in predicting unfavorable outcomes. CONCLUSION: Hemorrhage volume was rapidly estimated and effectively predicted mortality in patients with ICH; however, this value may not be useful for predicting favorable outcomes. The densitometric analysis exhibited significantly higher power in predicting mortality and favorable outcomes in patients with ICH.",
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