Effect of CBCT voxel size and software program on the detection of fenestrations and dehiscences
Esraa Ahmed Eid; Mona Mahmoud Abo El Fotouh; Walaa Mohamed Hamed;
Abstract
Objectives This study investigated the effect of CBCT voxel size and software program on the accuracy of detecting
fenestrations and dehiscences.
Materials and methods This ex-vivo experimental animal study was carried out on 6 fleshy sheep heads with
both maxilla and mandible accompanied with the surrounding soft tissue. Fenestrations [n=48] and dehiscences
[n=51] were randomly created on the buccal surfaces of teeth. Two CBCT scans were acquired for each sheep head
using two different voxel sizes [0.2 mm and 0.4 mm]. Images were analyzed by two oral radiologists on two different
software programs [OnDemand and ImplaStation]. All data was collected and analyzed in terms of diagnostic
performance measures.
Results For fenestrations, both voxel sizes and software programs showed high diagnostic performance, with
approximately 94% accuracy and sensitivity, 95% specificity, and a low false positive rate of about 5%. For dehiscences,
performance was more limited, with around 70% accuracy and sensitivity, 60–67% specificity, and a higher false
positive rate of 33–40%. None of the investigated parameters showed statistically significant differences.
Conclusion Changes in voxel size and software program had little impact on the diagnostic accuracy for detecting
fenestrations and dehiscences. CBCT demonstrated good performance in identifying fenestrations but only
moderate capability in detecting dehiscences. These results indicate that, although CBCT is a useful imaging tool, its
contribution to diagnosing dehiscences is limited by factors such as volume averaging and partial volume effects, and
should therefore be interpreted with caution in clinical settings.
Clinical relevance Clinically, the findings suggest that choosing between 0.2 mm and 0.4 mm voxel sizes, or
between different viewing software programs OnDemand and ImplaStation, does not meaningfully affect the ability
to diagnose fenestrations and dehiscences. This provides flexibility in routine practice, allowing clinicians to select
imaging settings based on practical considerations such as field of view, dose, or workflow, without compromising
diagnostic confidence
fenestrations and dehiscences.
Materials and methods This ex-vivo experimental animal study was carried out on 6 fleshy sheep heads with
both maxilla and mandible accompanied with the surrounding soft tissue. Fenestrations [n=48] and dehiscences
[n=51] were randomly created on the buccal surfaces of teeth. Two CBCT scans were acquired for each sheep head
using two different voxel sizes [0.2 mm and 0.4 mm]. Images were analyzed by two oral radiologists on two different
software programs [OnDemand and ImplaStation]. All data was collected and analyzed in terms of diagnostic
performance measures.
Results For fenestrations, both voxel sizes and software programs showed high diagnostic performance, with
approximately 94% accuracy and sensitivity, 95% specificity, and a low false positive rate of about 5%. For dehiscences,
performance was more limited, with around 70% accuracy and sensitivity, 60–67% specificity, and a higher false
positive rate of 33–40%. None of the investigated parameters showed statistically significant differences.
Conclusion Changes in voxel size and software program had little impact on the diagnostic accuracy for detecting
fenestrations and dehiscences. CBCT demonstrated good performance in identifying fenestrations but only
moderate capability in detecting dehiscences. These results indicate that, although CBCT is a useful imaging tool, its
contribution to diagnosing dehiscences is limited by factors such as volume averaging and partial volume effects, and
should therefore be interpreted with caution in clinical settings.
Clinical relevance Clinically, the findings suggest that choosing between 0.2 mm and 0.4 mm voxel sizes, or
between different viewing software programs OnDemand and ImplaStation, does not meaningfully affect the ability
to diagnose fenestrations and dehiscences. This provides flexibility in routine practice, allowing clinicians to select
imaging settings based on practical considerations such as field of view, dose, or workflow, without compromising
diagnostic confidence
Other data
| Title | Effect of CBCT voxel size and software program on the detection of fenestrations and dehiscences | Authors | Esraa Ahmed Eid ; Mona Mahmoud Abo El Fotouh; Walaa Mohamed Hamed | Keywords | CBCT, Voxel size, Imaging software, Fenestration, Dehiscence, Alveolar bone defects | Issue Date | 20-Feb-2026 | Publisher | Springer Nature | Journal | BMC Oral Health | Volume | 26 | Issue | 376 | DOI | https://doi.org/10.1186/s12903-026-07793-x |
Attached Files
| File | Description | Size | Format | Existing users please Login |
|---|---|---|---|---|
| Effect of CBCT voxel size and software program on the detection of fenestrations and dehiscences.pdf | Journal Article | 1.46 MB | Adobe PDF | Request a copy |
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