Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Computed tomography in acute intracerebral hemorrhage : neuroimaging predictors of hematoma expansion and outcome

Hillal, Amir LU ; Ullberg, Teresa LU ; Ramgren, Birgitta LU and Wassélius, Johan LU (2022) In Insights into Imaging 13(1).
Abstract

Intracerebral hemorrhage (ICH) accounts for 10–20% of all strokes worldwide and is associated with serious outcomes, including a 30-day mortality rate of up to 40%. Neuroimaging is pivotal in diagnosing ICH as early detection and determination of underlying cause, and risk for expansion/rebleeding is essential in providing the correct treatment. Non-contrast computed tomography (NCCT) is the most used modality for detection of ICH, identification of prognostic markers and measurements of hematoma volume, all of which are of major importance to predict outcome. The strongest predictors of 30-day mortality and functional outcome for ICH patients are baseline hematoma volume and hematoma expansion. Even so, exact hematoma measurement is... (More)

Intracerebral hemorrhage (ICH) accounts for 10–20% of all strokes worldwide and is associated with serious outcomes, including a 30-day mortality rate of up to 40%. Neuroimaging is pivotal in diagnosing ICH as early detection and determination of underlying cause, and risk for expansion/rebleeding is essential in providing the correct treatment. Non-contrast computed tomography (NCCT) is the most used modality for detection of ICH, identification of prognostic markers and measurements of hematoma volume, all of which are of major importance to predict outcome. The strongest predictors of 30-day mortality and functional outcome for ICH patients are baseline hematoma volume and hematoma expansion. Even so, exact hematoma measurement is rare in clinical routine practice, primarily due to a lack of tools available for fast, effective, and reliable volumetric tools. In this educational review, we discuss neuroimaging findings for ICH from NCCT images, and their prognostic value, as well as the use of semi-automatic and fully automated hematoma volumetric methods and assessment of hematoma expansion in prognostic studies.

(Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Computed tomography, Imaging, Intracerebral hemorrhage, Outcome prognostication, Volumetric measurement
in
Insights into Imaging
volume
13
issue
1
article number
180
publisher
Springer
external identifiers
  • pmid:36417131
  • scopus:85142222468
ISSN
1869-4101
DOI
10.1186/s13244-022-01309-1
language
English
LU publication?
yes
id
aaf6beb3-300c-47bf-aa6f-be70a6ea67ed
date added to LUP
2023-01-03 14:26:30
date last changed
2024-04-18 11:53:48
@article{aaf6beb3-300c-47bf-aa6f-be70a6ea67ed,
  abstract     = {{<p>Intracerebral hemorrhage (ICH) accounts for 10–20% of all strokes worldwide and is associated with serious outcomes, including a 30-day mortality rate of up to 40%. Neuroimaging is pivotal in diagnosing ICH as early detection and determination of underlying cause, and risk for expansion/rebleeding is essential in providing the correct treatment. Non-contrast computed tomography (NCCT) is the most used modality for detection of ICH, identification of prognostic markers and measurements of hematoma volume, all of which are of major importance to predict outcome. The strongest predictors of 30-day mortality and functional outcome for ICH patients are baseline hematoma volume and hematoma expansion. Even so, exact hematoma measurement is rare in clinical routine practice, primarily due to a lack of tools available for fast, effective, and reliable volumetric tools. In this educational review, we discuss neuroimaging findings for ICH from NCCT images, and their prognostic value, as well as the use of semi-automatic and fully automated hematoma volumetric methods and assessment of hematoma expansion in prognostic studies.</p>}},
  author       = {{Hillal, Amir and Ullberg, Teresa and Ramgren, Birgitta and Wassélius, Johan}},
  issn         = {{1869-4101}},
  keywords     = {{Computed tomography; Imaging; Intracerebral hemorrhage; Outcome prognostication; Volumetric measurement}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Springer}},
  series       = {{Insights into Imaging}},
  title        = {{Computed tomography in acute intracerebral hemorrhage : neuroimaging predictors of hematoma expansion and outcome}},
  url          = {{http://dx.doi.org/10.1186/s13244-022-01309-1}},
  doi          = {{10.1186/s13244-022-01309-1}},
  volume       = {{13}},
  year         = {{2022}},
}