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Non-contrast computed tomography features predict intraventricular hemorrhage growth
by
Mazzacane, Federico
, Broocks, Gabriel
, Penzkofer, Tobias
, Desser, Dmitriy
, Vu, Ly
, Jensen-Kondering, Ulf
, Böhmer, Maik F. H.
, Sporns, Peter B.
, Padovani, Alessandro
, Elsayed, Sarah
, Vogt, Estelle
, Pasi, Marco
, Cao, Haoyin
, Morotti, Andrea
, Hanning, Uta
, Akkurt, Burak Han
, Dell’Orco, Andrea
, Nawabi, Jawed
, Schlunk, Frieder
, Fiehler, Jens
in
Cerebral Hemorrhage - diagnostic imaging
/ Computed Tomography
/ Diagnostic Radiology
/ Germany - epidemiology
/ Hematoma
/ Hematoma - diagnostic imaging
/ Hemorrhage
/ Humans
/ Imaging
/ Internal Medicine
/ Interventional Radiology
/ Medicine
/ Medicine & Public Health
/ Neuroradiology
/ Radiology
/ Retrospective Studies
/ Risk
/ Subgroups
/ Tomography
/ Tomography, X-Ray Computed - methods
/ Ultrasound
2023
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Non-contrast computed tomography features predict intraventricular hemorrhage growth
by
Mazzacane, Federico
, Broocks, Gabriel
, Penzkofer, Tobias
, Desser, Dmitriy
, Vu, Ly
, Jensen-Kondering, Ulf
, Böhmer, Maik F. H.
, Sporns, Peter B.
, Padovani, Alessandro
, Elsayed, Sarah
, Vogt, Estelle
, Pasi, Marco
, Cao, Haoyin
, Morotti, Andrea
, Hanning, Uta
, Akkurt, Burak Han
, Dell’Orco, Andrea
, Nawabi, Jawed
, Schlunk, Frieder
, Fiehler, Jens
in
Cerebral Hemorrhage - diagnostic imaging
/ Computed Tomography
/ Diagnostic Radiology
/ Germany - epidemiology
/ Hematoma
/ Hematoma - diagnostic imaging
/ Hemorrhage
/ Humans
/ Imaging
/ Internal Medicine
/ Interventional Radiology
/ Medicine
/ Medicine & Public Health
/ Neuroradiology
/ Radiology
/ Retrospective Studies
/ Risk
/ Subgroups
/ Tomography
/ Tomography, X-Ray Computed - methods
/ Ultrasound
2023
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Non-contrast computed tomography features predict intraventricular hemorrhage growth
by
Mazzacane, Federico
, Broocks, Gabriel
, Penzkofer, Tobias
, Desser, Dmitriy
, Vu, Ly
, Jensen-Kondering, Ulf
, Böhmer, Maik F. H.
, Sporns, Peter B.
, Padovani, Alessandro
, Elsayed, Sarah
, Vogt, Estelle
, Pasi, Marco
, Cao, Haoyin
, Morotti, Andrea
, Hanning, Uta
, Akkurt, Burak Han
, Dell’Orco, Andrea
, Nawabi, Jawed
, Schlunk, Frieder
, Fiehler, Jens
in
Cerebral Hemorrhage - diagnostic imaging
/ Computed Tomography
/ Diagnostic Radiology
/ Germany - epidemiology
/ Hematoma
/ Hematoma - diagnostic imaging
/ Hemorrhage
/ Humans
/ Imaging
/ Internal Medicine
/ Interventional Radiology
/ Medicine
/ Medicine & Public Health
/ Neuroradiology
/ Radiology
/ Retrospective Studies
/ Risk
/ Subgroups
/ Tomography
/ Tomography, X-Ray Computed - methods
/ Ultrasound
2023
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Non-contrast computed tomography features predict intraventricular hemorrhage growth
Journal Article
Non-contrast computed tomography features predict intraventricular hemorrhage growth
2023
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Overview
Objectives
Non-contrast computed tomography (NCCT) markers are robust predictors of parenchymal hematoma expansion in intracerebral hemorrhage (ICH). We investigated whether NCCT features can also identify ICH patients at risk of intraventricular hemorrhage (IVH) growth.
Methods
Patients with acute spontaneous ICH admitted at four tertiary centers in Germany and Italy were retrospectively included from January 2017 to June 2020. NCCT markers were rated by two investigators for heterogeneous density, hypodensity, black hole sign, swirl sign, blend sign, fluid level, island sign, satellite sign, and irregular shape. ICH and IVH volumes were semi-manually segmented. IVH growth was defined as IVH expansion > 1 mL (eIVH) or any delayed IVH (dIVH) on follow-up imaging. Predictors of eIVH and dIVH were explored with multivariable logistic regression. Hypothesized moderators and mediators were independently assessed in PROCESS macro models.
Results
A total of 731 patients were included, of whom 185 (25.31%) suffered from IVH growth, 130 (17.78%) had eIVH, and 55 (7.52%) had dIVH. Irregular shape was significantly associated with IVH growth (OR 1.68; 95%CI [1.16–2.44];
p
= 0.006). In the subgroup analysis stratified by the IVH growth type, hypodensities were significantly associated with eIVH (OR 2.06; 95%CI [1.48–2.64];
p
= 0.015), whereas irregular shape (OR 2.72; 95%CI [1.91–3.53];
p
= 0.016) in dIVH. The association between NCCT markers and IVH growth was not mediated by parenchymal hematoma expansion.
Conclusions
NCCT features identified ICH patients at a high risk of IVH growth. Our findings suggest the possibility to stratify the risk of IVH growth with baseline NCCT and might inform ongoing and future studies.
Clinical relevance statement
Non-contrast CT features identified ICH patients at a high risk of intraventricular hemorrhage growth with subtype-specific differences. Our findings may assist in the risk stratification of intraventricular hemorrhage growth with baseline CT and might inform ongoing and future clinical studies.
Key Points
• NCCT features identified ICH patients at a high risk of IVH growth with subtype-specific differences.
• The effect of NCCT features was not moderated by time and location or indirectly mediated by hematoma expansion.
• Our findings may assist in the risk stratification of IVH growth with baseline NCCT and might inform ongoing and future studies.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
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