scholarly journals Diagnostic accuracy of cone beam computed tomography in detection of simulated mandibular condyle erosions

2015 ◽  
Vol 6 (3) ◽  
pp. 97 ◽  
Author(s):  
Nafiseh Nikkerdar ◽  
Shahriar Shahab ◽  
Maryam Goodarzi ◽  
Amin Golshah ◽  
SanazSharifi Shooshtari
2020 ◽  
pp. 105566562094698
Author(s):  
Parviz Padisar ◽  
Maryam Tofangchiha ◽  
Behzad Salari ◽  
Sonia Oveisi

Objective: The purpose of this study was to identify which diagnostic parameters related to impacted maxillary canines can be reliably detected by the conventional orthodontic radiographic modalities and which factors need to be assessed by cone-beam computed tomography (CBCT). Design: In this cross-sectional study, 8 orthodontists evaluated 7 parameters related to the position and anatomy of the impacted canines by means of 2-dimensional (2D) records. After 1 month, the same process was repeated by means of CBCT by the same clinicians. Setting: Qazvin University of Medical Sciences. Patients and Participants: Thirty-two patients with alveolar cleft and impacted maxillary canines who had CBCT scans, lateral cephalograms, and orthopantomographs as pretreatment records. Main Outcome Measure: The diagnostic accuracy of 2D and 3-dimensional (3D) radiographic modalities was compared with each other and also with the gold standard by 3 radiologists. Results: The diagnostic accuracy of 2D and 3D imaging modalities was not significantly different regarding the mesiodistal inclination of the impacted tooth ( P = .09), apex anatomy ( P = .10), and mesiodistal position of the apex ( P = .19). Cone-beam computed tomography had significantly higher diagnostic accuracy than conventional radiographic modalities regarding overlapping the adjacent tooth ( P = .001), labio–palatal and apico–coronal position of the crown tip, and root resorption of the adjacent tooth ( P = .01). Conclusion: The conventional orthodontic radiographic modalities were as accurate as CBCT for determination of impacted canine inclination, apex anatomy, and mesiodistal position of the apex. Cone-beam computed tomography showed higher diagnostic accuracy for other parameters.


2008 ◽  
Vol 78 (5) ◽  
pp. 880-888 ◽  
Author(s):  
Brian Schlueter ◽  
Ki Beom Kim ◽  
Donald Oliver ◽  
Gus Sortiropoulos

Abstract Objective: To determine the ideal window level and width needed for cone beam computed three-dimensional (3D) reconstruction of the condyle. Materials and Methods: Linear dimensions were measured with a digital caliper to assess the anatomic truth for 50 dry human mandibular condyles. Condyles were scanned with the i-CAT cone beam computed tomography (CBCT) and 3D-models were reconstructed. Three linear three-dimensional measurements were made on each of the 50 condyles at 8 different Hounsfield unit (HU) windows. These measurements were compared with the anatomic truth. Volumetric measurements were also completed on all 50 condyles, at 23 different window levels, to define the volumetric distribution of bone mineral density (BMD) within the condyle. Results: Significant differences were found in two of the three linear measurement groups at and below the recommended viewing window for osseous structures. The most accurate measurements were made within the soft tissue range for HU window levels. Volumetric distribution measurements revealed that the condyles were mostly comprised of low-density bone, and that condyles exhibiting significant changes in linear measurements were shown to have higher percentages of low-density bone than those condyles with little change from the anatomic truth. Conclusions: CBCT assessment of the mandibular condyle, using the 3D reconstruction, is most accurate when accomplished at density levels below that recommended for osseous examination. However, utilizing lower window levels which extend into the soft tissue range, may compromise one's capacity to view the bony topography.


ORL ◽  
2015 ◽  
Vol 77 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Ramin Zojaji ◽  
Masoud Naghibzadeh ◽  
Morteza Mazloum Farsi Baf ◽  
Sirous Nekooei ◽  
Behrokh Bataghva ◽  
...  

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