Efficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scans
Abstract Background Early detection of peri-implant bone defects can improve long-term durability of dental implants. By the advances in cone-beam computed tomography (CBCT) scanners and introduction of new algorithms, it is important to find the most efficient protocol for detection of bone defects...
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BMC
2025-01-01
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| Online Access: | https://doi.org/10.1186/s12903-024-05397-x |
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| author | Faezeh Yousefi Ali Heidari Azita Ehsani Maryam Farhadian Marzieh Ehsani |
| author_facet | Faezeh Yousefi Ali Heidari Azita Ehsani Maryam Farhadian Marzieh Ehsani |
| author_sort | Faezeh Yousefi |
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| description | Abstract Background Early detection of peri-implant bone defects can improve long-term durability of dental implants. By the advances in cone-beam computed tomography (CBCT) scanners and introduction of new algorithms, it is important to find the most efficient protocol for detection of bone defects. This study aimed to assess the efficacy of metal artifact reduction (MAR) and advanced noise reduction (ANR) algorithms for detection of peri-implant bone defects. Materials and methods In this in vitro study, 40 titanium implants were placed in 7 sheep mandibles. Crestal, apical, and Full defects (n = 10 from each type) were created around the implants, and 10 implants were also placed as controls. CBCT scans were obtained in four modes: with MAR, with ANR, with both MAR and ANR, and without any filter. Totally, 28 scans were obtained and evaluated by a radiologist and a maxillofacial surgeon. The observers recorded their observations in a checklist, and data were analyzed by SPSS version 21 using the kappa coefficient of agreement, sensitivity and specificity values, area under the receiver operating characteristic (ROC) curve (AUC), intraclass correlation coefficient, t-test and paired t-test (P < 0.05). Results The inter-observer agreement was high for detection of all defects in all modes except with ANR. No significant difference was found in AUC and diagnostic accuracy of different scan modes (P > 0.05). The most common diagnostic error was related to misdiagnosis of control group with full defect with ANR filter, such that the existing bone was not detected. Defect depth was averagely over-estimated while defect length was under-estimated. Correct diagnosis of defects had the highest frequency when both filters were on. Conclusion The diagnostic accuracy and sensitivity for detection of different defect types were not significantly different in different scan modes but activation of ANR filter significantly decreased the specificity and positive predictive value compared with no use of filter. |
| format | Article |
| id | doaj-art-866eba06a0ba4d2b99bd4da2e522f95f |
| institution | Kabale University |
| issn | 1472-6831 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Oral Health |
| spelling | doaj-art-866eba06a0ba4d2b99bd4da2e522f95f2025-01-12T12:42:13ZengBMCBMC Oral Health1472-68312025-01-0125111110.1186/s12903-024-05397-xEfficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scansFaezeh Yousefi0Ali Heidari1Azita Ehsani2Maryam Farhadian3Marzieh Ehsani4Department of Oral and Maxillofacial Radiology, Dental Research Center, Hamadan University of Medical SciencesDepartment of Oral and Maxillofacial Surgery, Dental Research Center, Hamadan University of Medical ScienceDepartment of Oral and Maxillofacial Radiology, School of Dentistry, Alborz University of Medical SciencesDental Implants Research Center, School of Public Health and Research Center for Health Sciences, Hamadan University of Medical SciencesResident of Oral and Maxillofacial Radiology, Isfahan University of Medical SciencesAbstract Background Early detection of peri-implant bone defects can improve long-term durability of dental implants. By the advances in cone-beam computed tomography (CBCT) scanners and introduction of new algorithms, it is important to find the most efficient protocol for detection of bone defects. This study aimed to assess the efficacy of metal artifact reduction (MAR) and advanced noise reduction (ANR) algorithms for detection of peri-implant bone defects. Materials and methods In this in vitro study, 40 titanium implants were placed in 7 sheep mandibles. Crestal, apical, and Full defects (n = 10 from each type) were created around the implants, and 10 implants were also placed as controls. CBCT scans were obtained in four modes: with MAR, with ANR, with both MAR and ANR, and without any filter. Totally, 28 scans were obtained and evaluated by a radiologist and a maxillofacial surgeon. The observers recorded their observations in a checklist, and data were analyzed by SPSS version 21 using the kappa coefficient of agreement, sensitivity and specificity values, area under the receiver operating characteristic (ROC) curve (AUC), intraclass correlation coefficient, t-test and paired t-test (P < 0.05). Results The inter-observer agreement was high for detection of all defects in all modes except with ANR. No significant difference was found in AUC and diagnostic accuracy of different scan modes (P > 0.05). The most common diagnostic error was related to misdiagnosis of control group with full defect with ANR filter, such that the existing bone was not detected. Defect depth was averagely over-estimated while defect length was under-estimated. Correct diagnosis of defects had the highest frequency when both filters were on. Conclusion The diagnostic accuracy and sensitivity for detection of different defect types were not significantly different in different scan modes but activation of ANR filter significantly decreased the specificity and positive predictive value compared with no use of filter.https://doi.org/10.1186/s12903-024-05397-xCone-Beam Computed TomographyBone defectDental implantsAdvanced noise reductionMetal artifact reduction |
| spellingShingle | Faezeh Yousefi Ali Heidari Azita Ehsani Maryam Farhadian Marzieh Ehsani Efficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scans BMC Oral Health Cone-Beam Computed Tomography Bone defect Dental implants Advanced noise reduction Metal artifact reduction |
| title | Efficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scans |
| title_full | Efficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scans |
| title_fullStr | Efficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scans |
| title_full_unstemmed | Efficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scans |
| title_short | Efficacy of two radiographic algorithms for detection of peri-implant bone defects on cone-beam computed tomography scans |
| title_sort | efficacy of two radiographic algorithms for detection of peri implant bone defects on cone beam computed tomography scans |
| topic | Cone-Beam Computed Tomography Bone defect Dental implants Advanced noise reduction Metal artifact reduction |
| url | https://doi.org/10.1186/s12903-024-05397-x |
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