Quantitative parameters of CT texture analysis as potential markers for early prediction of spontaneous intracranial hemorrhage enlargement
- 30.04.2018
- Computed Tomography
Erschienen in:
- Verfasst von
- Qijun Shen
- Yanna Shan
- Zhengyu Hu
- Wenhui Chen
- Bing Yang
- Jing Han
- Yanfang Huang
- Wen Xu
- Zhan Feng
- Erschienen in
- European Radiology | Ausgabe 10/2018
Abstract
Objective
To objectively quantify intracranial hematoma (ICH) enlargement by analysing the image texture of head CT scans and to provide objective and quantitative imaging parameters for predicting early hematoma enlargement.
Methods
We retrospectively studied 108 ICH patients with baseline non-contrast computed tomography (NCCT) and 24-h follow-up CT available. Image data were assessed by a chief radiologist and a resident radiologist. Consistency analysis between observers was tested. The patients were divided into training set (75%) and validation set (25%) by stratified sampling. Patients in the training set were dichotomized according to 24-h hematoma expansion ≥ 33%. Using the Laplacian of Gaussian bandpass filter, we chose different anatomical spatial domains ranging from fine texture to coarse texture to obtain a series of derived parameters (mean grayscale intensity, variance, uniformity) in order to quantify and evaluate all data. The parameters were externally validated on validation set.
Results
Significant differences were found between the two groups of patients within variance at V1.0 and in uniformity at U1.0, U1.8 and U2.5. The intraclass correlation coefficients for the texture parameters were between 0.67 and 0.99. The area under the ROC curve between the two groups of ICH cases was between 0.77 and 0.92. The accuracy of validation set by CTTA was 0.59–0.85.
Conclusion
NCCT texture analysis can objectively quantify the heterogeneity of ICH and independently predict early hematoma enlargement.
Key Points
• Heterogeneity is helpful in predicting ICH enlargement.
• CTTA could play an important role in predicting early ICH enlargement.
• After filtering, fine texture had the best diagnostic performance.
• The histogram-based uniformity parameters can independently predict ICH enlargement.
• CTTA is more objective, more comprehensive, more independently operable, than previous methods.
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- Titel
- Quantitative parameters of CT texture analysis as potential markers for early prediction of spontaneous intracranial hemorrhage enlargement
- Verfasst von
-
Qijun Shen
Yanna Shan
Zhengyu Hu
Wenhui Chen
Bing Yang
Jing Han
Yanfang Huang
Wen Xu
Zhan Feng
- Publikationsdatum
- 30.04.2018
- Verlag
- Springer Berlin Heidelberg
- Erschienen in
-
European Radiology / Ausgabe 10/2018
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084 - DOI
- https://doi.org/10.1007/s00330-018-5364-8
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