Prevalence and Distribution of Apical Periodontitis in Root Canal-Treated Teeth: A Cone-Beam Computed Tomography Study in a Saudi Subpopulation
Abstract
1. Introduction
2. Materials and Methods
2.1. Sample Selection
2.2. Radiographic Evaluation
2.3. Examiner Calibration
2.4. Sample Size Calculation
2.5. Statistical Analysis
3. Results
3.1. Participant Characteristics
3.2. Dentition Characteristics and Apical Periodontitis Burden
3.3. Factors Associated with Apical Periodontitis in Root Canal-Treated Teeth
3.4. Regional Distribution of Apical Periodontitis
3.5. Tooth-Level Distribution of Apical Periodontitis
4. Discussion
5. Conclusions
Clinical Significance
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Abbott, P. Classification, diagnosis and clinical manifestations of apical periodontitis. Endod. Top. 2004, 8, 36–54. [Google Scholar] [CrossRef]
- Nair, P. On the causes of persistent apical periodontitis: A review. Int. Endod. J. 2006, 39, 249–281. [Google Scholar] [CrossRef]
- Bürklein, S.; Schäfer, E.; Jöhren, H.-P.; Donnermeyer, D. Quality of root canal fillings and prevalence of apical radiolucencies in a German population: A CBCT analysis. Clin. Oral Investig. 2020, 24, 1217–1227. [Google Scholar] [CrossRef]
- Dutta, A.; Smith-Jack, F.; Saunders, W.P. Prevalence of periradicular periodontitis in a Scottish subpopulation found on CBCT images. Int. Endod. J. 2014, 47, 854–863. [Google Scholar] [CrossRef]
- Paula-Silva FWGd Wu, M.-K.; Leonardo, M.R.; Bezerra da Silva, L.A.; Wesselink, P.R. Accuracy of Periapical Radiography and Cone-Beam Computed Tomography Scans in Diagnosing Apical Periodontitis Using Histopathological Findings as a Gold Standard. J. Endod. 2009, 35, 1009–1012. [Google Scholar] [CrossRef]
- Cotti, E. Advanced techniques for detecting lesions in bone. Dent. Clin. N. Am. 2010, 54, 215–235. [Google Scholar] [CrossRef] [PubMed]
- Kanagasingam, S.; Lim, C.X.; Yong, C.P.; Mannocci, F.; Patel, S. Diagnostic accuracy of periapical radiography and cone beam computed tomography in detecting apical periodontitis using histopathological findings as a reference standard. Int. Endod. J. 2017, 50, 417–426. [Google Scholar] [CrossRef]
- Cotton, T.P.; Geisler, T.M.; Holden, D.T.; Schwartz, S.A.; Schindler, W.G. Endodontic applications of cone-beam volumetric tomography. J. Endod. 2007, 33, 1121–1132. [Google Scholar] [CrossRef] [PubMed]
- Estrela, C.; Bueno, M.R.; Azevedo, B.C.; Azevedo, J.R.; Pecora, J.D. A new periapical index based on cone beam computed tomography. J. Endod. 2008, 34, 1325–1331. [Google Scholar] [CrossRef] [PubMed]
- Lofthag-Hansen, S.; Huumonen, S.; Gröndahl, K.; Gröndahl, H.-G. Limited cone-beam CT and intraoral radiography for the diagnosis of periapical pathology. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. Endod. 2007, 103, 114–119. [Google Scholar] [CrossRef]
- Tyndall, D.A.; Rathore, S. Cone-Beam CT Diagnostic Applications: Caries, Periodontal Bone Assessment, and Endodontic Applications. Dent. Clin. N. Am. 2008, 52, 825–841. [Google Scholar] [CrossRef] [PubMed]
- Tibúrcio-Machado, C.S.; Michelon, C.; Zanatta, F.B.; Gomes, M.S.; Marin, J.A.; Bier, C.A. The global prevalence of apical periodontitis: A systematic review and meta-analysis. Int. Endod. J. 2021, 54, 712–735. [Google Scholar] [CrossRef] [PubMed]
- Sadaf, D.; Alsalhy, H.; Alrothy, R.; Ahmad, M.Z. Prevalence of apical periodontitis in root canal-treated teeth from an urban Saudi female population: Influence of root canal fillings and coronal restorations. Int. J. Oral Health Sci. 2017, 7, 82–85. [Google Scholar] [CrossRef]
- Alfouzan, K.; Baskaradoss, J.K.; Geevarghese, A.; Alzahrani, M.; Alhezaimi, K. Radiographic Diagnosis of Periapical Status and Quality of Root Canal Fillings in a Saudi Arabian Subpopulation. Oral Health Prev. Dent. 2016, 14, 241–248. [Google Scholar]
- Al-Nazhan, S.A.; Alsaeed, S.A.; Al-Attas, H.A.; Dohaithem, A.J.; Al-Serhan, M.S.; Al-Maflehi, N.S. Prevalence of apical periodontitis and quality of root canal treatment in an adult Saudi population. Saudi Med. J. 2017, 38, 413–421. [Google Scholar] [CrossRef]
- De Moor, R.; Hommez, G.; Boever, J.; Delmé, K.; Martens, G. Periapical health related to the quality of root canal treatment in Belgian population. Int. Endod. J. 2000, 33, 113–120. [Google Scholar] [CrossRef]
- Velvart, P.; Hecker, H.; Tillinger, G. Detection of the apical lesion and the mandibular canal in conventional radiography and computed tomography. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. Endod. 2001, 92, 682–688. [Google Scholar] [CrossRef] [PubMed]
- The American Dental Association Council on Scientific Affairs. The use of cone-beam computed tomography in dentistry: An advisory statement from the American Dental Association Council on Scientific Affairs. J. Am. Dent. Assoc. 2012, 143, 899–902. [Google Scholar] [CrossRef]
- Jang, Y.-E.; Kim, B.S.; Kim, Y. Clinical Factors Associated with Apical Periodontitis Visible on Cone-beam Computed Tomography but Missed with Periapical Radiographs: A Retrospective Clinical Study. J. Endod. 2020, 46, 832–838. [Google Scholar] [CrossRef]
- Ørstavik, D.; Kerekes, K.; Eriksen, H.M. The periapical index: A scoring system for radiographic assessment of apical periodontitis. Dent. Traumatol. 1986, 2, 20–34. [Google Scholar] [CrossRef]
- El Ouarti, I.; Chala, S.; Sakout, M.; Abdallaoui, F. Prevalence and risk factors of Apical periodontitis in endodontically treated teeth: Cross-sectional study in an Adult Moroccan subpopulation. BMC Oral Health 2021, 21, 124. [Google Scholar] [CrossRef]
- Estrela, C.; Bueno, M.R.; Leles, C.R.; Azevedo, B.; Azevedo, J.R. Accuracy of cone beam computed tomography and panoramic and periapical radiography for detection of apical periodontitis. J. Endod. 2008, 34, 273–279. [Google Scholar] [CrossRef]
- de Paz, L.C. Redefining the Persistent Infection in Root Canals: Possible Role of Biofilm Communities. J. Endod. 2007, 33, 652–662. [Google Scholar] [CrossRef] [PubMed]
- Al-Omari, M.A.; Hazaa, A.; Haddad, F. Frequency and distribution of root filled teeth and apical periodontitis in a Jordanian subpopulation. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. Endod. 2011, 111, e59–e65. [Google Scholar] [CrossRef] [PubMed]
- Segura-Egea, J.J.; Jiménez-Pinzón, A.; Ríos-Santos, J.V.; Velasco-Ortega, E.; Cisneros-Cabello, R.; Poyato-Ferrera, M. High prevalence of apical periodontitis amongst type 2 diabetic patients. Int. Endod. J. 2005, 38, 564–569. [Google Scholar] [CrossRef]
- Sunay, H.; Tanalp, J.; Dikbas, I.; Bayirli, G. Cross-sectional evaluation of the periapical status and quality of root canal treatment in a selected population of urban Turkish adults. Int. Endod. J. 2007, 40, 139–145. [Google Scholar] [CrossRef]
- Blanco Fuentes, B.Y.; Moreno Monsalve, J.O.; Mesa Herrera, U.; Amoroso-Silva, P.A.; Rodrigues Ferreira Alves, F.; Marceliano-Alves, M.F. Apical periodontitis in endodontically-treated teeth: Association between missed canals and quality of endodontic treatment in a Colombian sub-population. A cross-sectional study. Acta Odontol. Latinoam. 2024, 37, 59–67. [Google Scholar] [CrossRef] [PubMed]
- Alhomrany, R.; Jally, F.A.; Al-Jari, A.; Al-Zamanan, M.; Al-Laajam, N.; Almakrami, A. Current prevalence and risk factors of apical periodontitis in healthy Saudi adults attending dental school at Najran University: A cross-sectional study using cone beam computed tomography. Saudi Dent. J. 2025, 37, 56. [Google Scholar] [CrossRef]
- Hussain, M.A.; Singh, S.K.; Naz, S.; Haque, M.; Shah, H.K.; Singh, A. Predictors of apical periodontitis in root canal treated teeth from an adult Nepalese subpopulation: A cross-sectional study. BMC Oral Health 2024, 24, 400. [Google Scholar] [CrossRef]
- Fadhil, N.H.; Ali, A.H.; Al Hashimi, R.A.; Sabri Al-Qathi, O.; Foschi, F. Assessment of Treatment Quality Risk Factors Influencing the Radiographic Detection of Apical Periodontitis in Root-Filled Teeth: A Retrospective CBCT Analysis. Eur. Endod. J. 2024, 9, 252–259. [Google Scholar] [CrossRef]
- Nascimento, E.H.L.; Gaêta-Araujo, H.; Andrade, M.F.S.; Freitas, D.Q. Prevalence of technical errors and periapical lesions in a sample of endodontically treated teeth: A CBCT analysis. Clin. Oral Investig. 2018, 22, 2495–2503. [Google Scholar] [CrossRef] [PubMed]
- Demirci, M.; Tuncer, S.; Yuceokur, A.A. Prevalence of caries on individual tooth surfaces and its distribution by age and gender in university clinic patients. Eur. J. Dent. 2010, 4, 270–279. [Google Scholar] [CrossRef] [PubMed]
- Alshahrani, I.; Tikare, S.; Meer, Z.; Mustafa, A.; Abdulwahab, M.; Sadatullah, S. Prevalence of dental caries among male students aged 15–17 years in southern Asir, Saudi Arabia. Saudi Dent. J. 2018, 30, 214–218. [Google Scholar] [CrossRef]
- Dye, B.A.; Li, X.; Beltran-Aguilar, E.D. Selected Oral Health Indicators in the United States, 2005–2008; NCHS Data Brief No. 96; U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics: Hyattsville, MD, USA, 2012; pp. 1–8. [PubMed]
- Estrela, L.R.A.; Estrela, C.; Bueno, M.R.; Diogenes, A. Sexual Dimorphism in Apical Periodontitis Severity Detected by CBCT. J. Endod. 2025, 51, 1744–1751. [Google Scholar] [CrossRef]


| Characteristic | Category | n (%) |
|---|---|---|
| ASA status | ASA I | 256 (80.0) |
| ASA II | 53 (16.6) | |
| ASA III | 11 (3.4) | |
| Age (years) | ≤20 | 22 (6.9) |
| 21–30 | 100 (31.3) | |
| 31–40 | 79 (24.7) | |
| 41–50 | 56 (17.5) | |
| 51–60 | 29 (9.1) | |
| ≥61 | 34 (10.6) | |
| Gender | Female | 182 (56.9) |
| Male | 138 (43.1) | |
| Medical history | No/insignificant | 254 (79.4) |
| Any medical condition | 66 (20.6) | |
| Smoking status | No | 301 (94.1) |
| Yes | 19 (5.9) |
| Variable | Mean ± SD | Median |
|---|---|---|
| Teeth per individual | 24.88 ± 5.42 | 26.00 (24.00–28.00) |
| Apical Periodontitis (AP) | 2.02 ± 2.27 | 1.00 (0.00–3.00) |
| AP-RCT | 1.36 ± 1.81 | 1.00 (0.00–2.00) |
| AP-virgin | 0.66 ± 1.25 | 0.00 (0.00–1.00) |
| Predictor | Category | Adjusted IRR (95% CI) | p-Value |
|---|---|---|---|
| ASA status | ASA I | 1.00 Ref | - |
| ASA II | 0.68 (0.18–2.52) | 0.562 | |
| ASA III | 0.52 (0.11–2.37) | 0.396 | |
| Age (years) | 21–30 | 1.00 Ref | - |
| ≤20 | 0.45 (0.20–0.99) | 0.047 | |
| 31–40 | 2.00 (1.39–2.86) | <0.001 | |
| 41–50 | 1.91 (1.27–2.88) | 0.002 | |
| 51–60 | 1.53 (0.88–2.65) | 0.132 | |
| ≥61 | 0.98 (0.54–1.75) | 0.934 | |
| Gender | Female | 1.00 Ref | - |
| Male | 0.87 (0.66–1.15) | 0.322 | |
| Medical history | No/insignificant | 1.00 Ref | - |
| Any medical condition | 1.40 (0.39–5.07) | 0.609 | |
| Smoking status | No | 1.00 Ref | - |
| Yes | 1.41 (0.83–2.41) | 0.205 | |
| Total number of teeth | Per additional tooth | 0.99 (0.97–1.02) | 0.699 |
| Predictor | Category | Adjusted IRR (95% CI) | p-Value |
|---|---|---|---|
| Region | Upper anterior | 1.00 Ref | - |
| Upper premolar | 1.36 (1.04–1.78) | 0.025 | |
| Upper molar | 1.57 (1.18–2.09) | 0.002 | |
| Lower anterior | 0.29 (0.19–0.46) | <0.001 | |
| Lower premolar | 0.77 (0.55–1.09) | 0.145 | |
| Lower molar | 1.48 (1.11–1.96) | 0.006 | |
| ASA status | ASA I | 1.00 Ref | - |
| ASA II | 0.57 (0.26–1.25) | 0.159 | |
| ASA III | 0.54 (0.23–1.25) | 0.150 | |
| Age (years) | 21–30 | 1.00 Ref | - |
| ≤20 | 0.63 (0.37–1.09) | 0.099 | |
| 31–40 | 1.82 (1.30–2.52) | <0.001 | |
| 41–50 | 1.73 (1.16–2.57) | 0.007 | |
| 51–60 | 1.83 (1.11–3.01) | 0.018 | |
| ≥61 | 2.04 (1.36–3.08) | <0.001 | |
| Gender | Female | 1.00 Ref | - |
| Male | 1.06 (0.83–1.36) | 0.635 | |
| Medical history | No/insignificant | 1.00 Ref | - |
| Any medical condition | 1.58 (0.75–3.31) | 0.229 | |
| Smoking status | No | 1.00 Ref | - |
| Yes | 1.55 (0.85–2.83) | 0.150 |
| Tooth | Adjusted OR (95% CI) | p-Value | Tooth | Adjusted OR (95% CI) | p-Value |
|---|---|---|---|---|---|
| (A) | |||||
| 11 | 8.27 (2.83–24.12) | <0.001 | 31 | 1.00 Ref | - |
| 12 | 4.46 (1.46–13.59) | 0.009 | 32 | 1.05 (0.37–2.95) | 0.931 |
| 13 | 2.55 (0.78–8.34) | 0.120 | 33 | 1.13 (0.42–3.01) | 0.803 |
| 14 | 5.59 (1.87–16.72) | 0.002 | 34 | 3.75 (1.40–10.06) | 0.009 |
| 15 | 3.36 (1.07–10.56) | 0.038 | 35 | 2.55 (0.93–7.00) | 0.071 |
| 16 | 9.84 (3.50–27.62) | <0.001 | 36 | 5.59 (1.96–15.95) | 0.001 |
| 17 | 3.44 (1.10–10.74) | 0.033 | 37 | 3.75 (1.35–10.40) | 0.011 |
| 21 | 5.88 (2.06–16.75) | 0.001 | 41 | 1.05 (0.37–2.95) | 0.931 |
| 22 | 4.74 (1.56–14.36) | 0.006 | 42 | 1.49 (0.57–3.90) | 0.416 |
| 23 | 3.36 (1.19–9.53) | 0.022 | 43 | 1.30 (0.49–3.41) | 0.594 |
| 24 | 6.17 (2.17–17.55) | 0.001 | 44 | 2.68 (0.97–7.40) | 0.057 |
| 25 | 2.98 (0.98–9.04) | 0.055 | 45 | 4.74 (1.56–14.36) | 0.006 |
| 26 | 9.84 (3.40–28.48) | <0.001 | 46 | 9.52 (3.39–26.74) | <0.001 |
| 27 | 3.43 (1.10–10.70) | 0.034 | 47 | 3.75 (1.40–10.06) | 0.009 |
| (B) | |||||
| 11 | 2.72 (0.71–10.47) | 0.147 | 31 | 1.00 Ref | - |
| 12 | 1.34 (0.29–6.10) | 0.706 | 32 | 1.74 (0.44–6.91) | 0.432 |
| 13 | 1.34 (0.29–6.10) | 0.706 | 33 | 1.74 (0.44–6.91) | 0.432 |
| 14 | 2.37 (0.60–9.36) | 0.219 | 34 | 1.98 (0.51–7.75) | 0.328 |
| 15 | 2.72 (0.71–10.47) | 0.146 | 35 | 2.35 (0.61–9.06) | 0.215 |
| 16 | 3.42 (0.92–12.72) | 0.066 | 36 | 3.07 (0.81–11.59) | 0.098 |
| 17 | 3.42 (0.92–12.72) | 0.066 | 37 | 4.50 (1.25–16.17) | 0.021 |
| 21 | 3.07 (0.81–11.59) | 0.098 | 41 | 1.74 (0.44–6.91) | 0.432 |
| 22 | 2.37 (0.60–9.36) | 0.219 | 42 | 1.74 (0.44–6.91) | 0.432 |
| 23 | 2.13 (0.55–8.19) | 0.272 | 43 | 1.74 (0.44–6.91) | 0.432 |
| 24 | 3.07 (0.81–11.59) | 0.098 | 44 | 2.35 (0.61–9.06) | 0.215 |
| 25 | 2.13 (0.55–8.19) | 0.272 | 45 | 2.72 (0.71–10.47) | 0.147 |
| 26 | 4.14 (1.14–15.01) | 0.031 | 46 | 4.14 (1.25–13.71) | 0.020 |
| 27 | 3.42 (0.92–12.72) | 0.066 | 47 | 3.78 (1.14–12.57) | 0.030 |
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Austah, O.; Alghamdi, L.; Alshamrani, A.; Wazzan, T.; Barayan, M.; Alharbi, M.A.; Bokhary, A.; Alsofi, L. Prevalence and Distribution of Apical Periodontitis in Root Canal-Treated Teeth: A Cone-Beam Computed Tomography Study in a Saudi Subpopulation. Diagnostics 2026, 16, 618. https://doi.org/10.3390/diagnostics16040618
Austah O, Alghamdi L, Alshamrani A, Wazzan T, Barayan M, Alharbi MA, Bokhary A, Alsofi L. Prevalence and Distribution of Apical Periodontitis in Root Canal-Treated Teeth: A Cone-Beam Computed Tomography Study in a Saudi Subpopulation. Diagnostics. 2026; 16(4):618. https://doi.org/10.3390/diagnostics16040618
Chicago/Turabian StyleAustah, Obadah, Lama Alghamdi, Amjad Alshamrani, Taggreed Wazzan, Mohammed Barayan, Mohammed A. Alharbi, Abdullah Bokhary, and Loai Alsofi. 2026. "Prevalence and Distribution of Apical Periodontitis in Root Canal-Treated Teeth: A Cone-Beam Computed Tomography Study in a Saudi Subpopulation" Diagnostics 16, no. 4: 618. https://doi.org/10.3390/diagnostics16040618
APA StyleAustah, O., Alghamdi, L., Alshamrani, A., Wazzan, T., Barayan, M., Alharbi, M. A., Bokhary, A., & Alsofi, L. (2026). Prevalence and Distribution of Apical Periodontitis in Root Canal-Treated Teeth: A Cone-Beam Computed Tomography Study in a Saudi Subpopulation. Diagnostics, 16(4), 618. https://doi.org/10.3390/diagnostics16040618

