A novel semi-automatic segmentation protocol for volumetric assessment of alveolar cleft grafting procedures.

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Publication year
2017Source
Journal of Cranio-Maxillo-Facial Surgery, 45, 5, (2017), pp. 685-689ISSN
Annotation
1 mei 2017
Publication type
Article / Letter to editor

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Organization
Oral and Maxillofacial Surgery
Dentistry
Journal title
Journal of Cranio-Maxillo-Facial Surgery
Volume
vol. 45
Issue
iss. 5
Page start
p. 685
Page end
p. 689
Subject
Radboudumc 10: Reconstructive and regenerative medicine RIHS: Radboud Institute for Health SciencesAbstract
A novel protocol for volumetric assessment of alveolar cleft grafting procedures is presented. Eleven cone-beam computed tomography (CBCT) datasets of patients who underwent secondary alveolar cleft reconstructive surgery for a unilateral alveolar cleft were evaluated by two investigators. Residual bone volumes 1 year after surgery were analysed using a semi-automated technique in which preoperative CBCT datasets were superimposed on the postoperative scans using voxel-based registration. To define the correct boundaries of the alveolar cleft defect in the preoperative CBCT dataset, a mirror image of the preoperative CBCT dataset was superimposed on the preoperative CBCT dataset. For the difference in residual bone volume between the two observers, an intraclass correlation of 0.98 and a Dice coefficient of 0.89 were found. This study describes a reliable segmentation protocol for volumetric analysis of the alveolar cleft defect in patients with a unilateral alveolar cleft.
This item appears in the following Collection(s)
- Academic publications [202923]
- Electronic publications [101091]
- Faculty of Medical Sciences [80072]
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