Dental Cavity Grading: Comparing Algorithm Reliability and Agreement with Expert Evaluation
Aim. The current study introduces a novel, algorithm-based software developed to objectively evaluate dental cavity preparations. The software aims to provide an alternative or complement to traditional, subjective assessment methods used in operative dentistry education. Materials and Methods. The...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | International Journal of Dentistry |
| Online Access: | http://dx.doi.org/10.1155/2024/3965641 |
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| _version_ | 1832544738519023616 |
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| author | Abubaker Qutieshat Abdurahman Salem Melina N. Kyranides |
| author_facet | Abubaker Qutieshat Abdurahman Salem Melina N. Kyranides |
| author_sort | Abubaker Qutieshat |
| collection | DOAJ |
| description | Aim. The current study introduces a novel, algorithm-based software developed to objectively evaluate dental cavity preparations. The software aims to provide an alternative or complement to traditional, subjective assessment methods used in operative dentistry education. Materials and Methods. The software was tested on cavity preparations carried out by 70 participants on artificial molar teeth. These cavities were also independently assessed by an experienced academic panel. The software, using 3D imaging, calculated cavity dimensions and assigned an error score based on deviation from ideal measurements. Statistical analyses included sensitivity, specificity, positive predictive value, negative predictive value, Cohen’s kappa, the intraclass correlation coefficient (ICC3k), Spearman’s rho, Kendall’s tau correlation coefficients, and a confusion matrix. Result. The software demonstrated a high degree of accuracy and agreement with the panel assessments. The average software and panel scores were 64.1 and 60.91, respectively. Sensitivity (0.98) was high, specificity (0.55) was moderate, and the ICC3k value (0.857) indicated a strong agreement between the software and the panel. Further, Spearman’s rho (0.73) and Kendall’s tau (0.56) suggested a strong correlation between the two grading methods. Conclusion. The results support the algorithm-based software as a valid and reliable tool for dental cavity preparation assessments. The software’s potential use in dental education is promising, though future research is necessary to validate and optimize this technology for wider application. |
| format | Article |
| id | doaj-art-2eaa1fd319c04a18acd5635866bea2ea |
| institution | Kabale University |
| issn | 1687-8736 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Dentistry |
| spelling | doaj-art-2eaa1fd319c04a18acd5635866bea2ea2025-02-03T09:58:38ZengWileyInternational Journal of Dentistry1687-87362024-01-01202410.1155/2024/3965641Dental Cavity Grading: Comparing Algorithm Reliability and Agreement with Expert EvaluationAbubaker Qutieshat0Abdurahman Salem1Melina N. Kyranides2Adult Restorative DentistryDental TechnologyClinical and Health PsychologyAim. The current study introduces a novel, algorithm-based software developed to objectively evaluate dental cavity preparations. The software aims to provide an alternative or complement to traditional, subjective assessment methods used in operative dentistry education. Materials and Methods. The software was tested on cavity preparations carried out by 70 participants on artificial molar teeth. These cavities were also independently assessed by an experienced academic panel. The software, using 3D imaging, calculated cavity dimensions and assigned an error score based on deviation from ideal measurements. Statistical analyses included sensitivity, specificity, positive predictive value, negative predictive value, Cohen’s kappa, the intraclass correlation coefficient (ICC3k), Spearman’s rho, Kendall’s tau correlation coefficients, and a confusion matrix. Result. The software demonstrated a high degree of accuracy and agreement with the panel assessments. The average software and panel scores were 64.1 and 60.91, respectively. Sensitivity (0.98) was high, specificity (0.55) was moderate, and the ICC3k value (0.857) indicated a strong agreement between the software and the panel. Further, Spearman’s rho (0.73) and Kendall’s tau (0.56) suggested a strong correlation between the two grading methods. Conclusion. The results support the algorithm-based software as a valid and reliable tool for dental cavity preparation assessments. The software’s potential use in dental education is promising, though future research is necessary to validate and optimize this technology for wider application.http://dx.doi.org/10.1155/2024/3965641 |
| spellingShingle | Abubaker Qutieshat Abdurahman Salem Melina N. Kyranides Dental Cavity Grading: Comparing Algorithm Reliability and Agreement with Expert Evaluation International Journal of Dentistry |
| title | Dental Cavity Grading: Comparing Algorithm Reliability and Agreement with Expert Evaluation |
| title_full | Dental Cavity Grading: Comparing Algorithm Reliability and Agreement with Expert Evaluation |
| title_fullStr | Dental Cavity Grading: Comparing Algorithm Reliability and Agreement with Expert Evaluation |
| title_full_unstemmed | Dental Cavity Grading: Comparing Algorithm Reliability and Agreement with Expert Evaluation |
| title_short | Dental Cavity Grading: Comparing Algorithm Reliability and Agreement with Expert Evaluation |
| title_sort | dental cavity grading comparing algorithm reliability and agreement with expert evaluation |
| url | http://dx.doi.org/10.1155/2024/3965641 |
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