Detection and size differentiation of simulated tooth root defects using flat-panel volume computerized tomography (fpVCT)

Hahn, Wolfram; Fricke-Zech, Susanne; Gruber, Rudolf; Dullin, Christian; Zapf, Antonia; Hannig, Christian; Kubein-Meesenburg, Dietmar; Sadat-Khonsari, Reza

doi:10.1016/j.tripleo.2008.04.030

Cited by 17 publications

(12 citation statements)

References 37 publications

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“…In another study (20), 62.5% of small cavities (0.16-mm wide and 0.15-mm deep) and 87.5% of large cavities (0.3 mm) were diagnosed with a 0.125-mm voxel size. Only 1 study (8) had similar sized cavities to ours. Cavities were correctly identified in 77% of cases, and the absence of cavity was correctly identified in 53%.…”

Section: Discussionsupporting

confidence: 55%

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Influence of Cone-Beam Computed Tomography Enhancement Filters on Diagnosis of Simulated External Root Resorption

de-Azevedo-Vaz

Vasconcelos

Neves

et al. 2012

Journal of Endodontics

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Section: Discussionsupporting

confidence: 55%

“…The cost and exposure dose are lower than multislice computed tomography (3)(4)(5). The literature has already shown that CBCT is a good radiographic method for diagnosing ERR (6)(7)(8)(9)(10)(11).…”

mentioning

confidence: 99%

Influence of Cone-Beam Computed Tomography Enhancement Filters on Diagnosis of Simulated External Root Resorption

de-Azevedo-Vaz

Vasconcelos

Neves

et al. 2012

Journal of Endodontics

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“…Small resorption defects were accurately diagnosed in 69% of cases. These values were 96% for medium size and 89% for severe, large defects (22). In 2012, Neves et al evaluated external root resorption using different voxel sizes of CBCT and showed that by an increase in size of defects, the accuracy, sensitivity, positive predictive value and negative predictive value of diagnoses increased as well (23, 24).…”

Section: Discussionmentioning

confidence: 96%

Effect of Voxel Size on Detection of External Root Resorption Defects Using Cone Beam Computed Tomography

Nikneshan

Valizadeh

Javanmard³

et al. 2016

Iran J Radiol

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BackgroundSelecting a voxel size that yields minimal radiation dose with no significant compromise of the diagnostic accuracy of cone beam computed tomography (CBCT) is particularly important.ObjectivesThis study aimed to assess the effect of voxel size on detection accuracy of simulated external root resorption defects using NewTom CBCT system.Materials and MethodsIn this diagnostic study, the roots of 90 extracted human central incisors were hypothetically divided into cervical, middle, and apical thirds. Variable-size defects were prepared in the buccal and lingual surfaces of the roots and CBCT scans were obtained with four different voxel sizes (150, 200, 250, and 300). Presence or absence of defects on CBCT scans was determined by three radiologists and the results were compared with the gold standard (actual size and depth of defects). Sensitivity and specificity values were calculated and reported for different groups.ResultsIn the lingual surfaces, the highest specificity and sensitivity belonged to 300µm voxel size (92.9%), and 200 and 250µm voxel sizes (both 97.4%) in the cervical third, respectively. In the middle third, the highest specificity and sensitivity belonged to 250 and 200µm voxel sizes (84.6% and 100%, respectively). In the apical third, the highest specificity and sensitivity belonged to 300 µm voxel size (100% and 97.9%, respectively). In the buccal surfaces, the highest specificity and sensitivity belonged to 150 (75.0%), 300 and 250 µm voxel sizes (100%) and the minimum values belonged to 200 µm voxel size (60% and 97.3%) in the cervical third. In the apical third, the highest specificity and sensitivity were noted in 300 µm voxel size (100% and 97.6%, respectively) and the minimum values were seen in 200 and 150 µm voxel sizes (93.8%, 90.5%, respectively). In the middle third, 300, 250 and 200 µm voxel sizes yielded the highest specificity (88.9%), while 150 µm voxel size yielded the highest sensitivity (98.8%).ConclusionConsidering the similar diagnostic efficacy of all voxel sizes, 300 µm voxel size can be used with adequate efficacy for detection of external root resorption defects with minimal patient radiation dose and the shortest scanning time.

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“…Numerous studies 17,[38][39][40] substantiate the good diagnostic capabilities of fpVCT for small bone structures. Obenauer et al 41 demonstrated that with the prototype of a fpVCT the imaging of different phantoms can be distinctively improved in comparison to the results afforded by MSCT.…”

Section: Resultsmentioning

confidence: 94%

Measurement of the midpalatal suture width

Fricke-Zech

Gruber

Dullin

et al. 2011

The Angle Orthodontist

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Objective: To conduct a pilot study to investigate the potentiality to determine the midpalatal sutural width radiographically with a flat-panel volume computed tomography (fpVCT) in a porcine model. Materials and Methods: Bone samples from the midpalatal suture of five young (16 weeks) and five old (200 weeks) sus scrofa domestica were gathered. The midpalatal suture width was measured via fpVCT and compared to respective histological preparations. Results with P , .05 were considered significant.

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Detection and size differentiation of simulated tooth root defects using flat-panel volume computerized tomography (fpVCT)

Cited by 17 publications

References 37 publications

Influence of Cone-Beam Computed Tomography Enhancement Filters on Diagnosis of Simulated External Root Resorption

Influence of Cone-Beam Computed Tomography Enhancement Filters on Diagnosis of Simulated External Root Resorption

Effect of Voxel Size on Detection of External Root Resorption Defects Using Cone Beam Computed Tomography

Measurement of the midpalatal suture width

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