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Shape-based interpolation method in measuring intracranial volume for pre- and post-operative decompressive
Johari Yap Abdullah1, Zainul Ahmad Rajion1, Arvind Gerard Martin2
1Craniofacial Medical Imaging Research Group, School of Dental Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
The shape-based interpolation (SBI) method accurately estimates intracranial volume (ICV) using CT scans, offering a rapid and reliable alternative to manual segmentation for patients undergoing decompressive craniectomy (DC). This validated technique ensures consistent ICV measurements in clinical practice.
Area of Science:
- Neurosurgery
- Medical Imaging
- Radiology
Background:
- Intracranial volume (ICV) is crucial for managing patients undergoing decompressive craniectomy (DC).
- Accurate ICV measurement is essential for surgical planning and patient monitoring.
- Traditional manual segmentation methods can be time-consuming.
Purpose of the Study:
- To validate the shape-based interpolation (SBI) method for ICV measurement.
- To assess the reliability and agreement of SBI compared to manual segmentation.
- To determine the clinical applicability of SBI for ICV estimation using CT images.
Main Methods:
- Analysis of pre- and post-operative CT images from 55 patients undergoing DC surgery.
- ICV measurement using manual segmentation and the SBI method with a 1-in-10 sampling strategy.
- Statistical comparison using independent t tests, intraclass correlation coefficients (ICC), and Bland-Altman plots.
Main Results:
- No significant difference in ICV measurements between manual and SBI methods (p=.983 pre-op, p=.960 post-op).
- High intrarater reliability with ICC=1.00.
- Bland-Altman analysis demonstrated good agreement between both methods.
Conclusions:
- The SBI method with 1-in-10 sampling provides ICV estimations comparable to manual segmentation.
- SBI is a rapid, reliable, and repeatable method for ICV estimation.
- This validated technique is suitable for clinical use in DC patient management.
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