{"title":"评估临床前手术程序的自我评估软件的有效性","authors":"Qi Dai, Ryan Davis, Houlin Hong, Ying Gu","doi":"arxiv-2404.05865","DOIUrl":null,"url":null,"abstract":"Objectives: To assess the effectiveness of digital scanning techniques for\nself-assessment and of preparations and restorations in preclinical dental\neducation when compared to traditional faculty grading. Methods: Forty-four\nseparate Class I (#30-O), Class II (#30-MO) preparations, and class II amalgam\nrestorations (#31-MO) were generated respectively under preclinical assessment\nsetting. Calibrated faculty evaluated the preparations and restorations using a\nstandard rubric from preclinical operative class. The same teeth were scanned\nusing Planmeca PlanScan intraoral scanner and graded using the Romexis E4D\nCompare Software. Each tooth was compared against a corresponding gold standard\ntooth with tolerance intervals ranging from 100{\\mu}m to 500{\\mu}m. These\nscores were compared to traditional faculty grades using a linear mixed model\nto estimate the mean differences at 95% confidence interval for each tolerance\nlevel. Results: The average Compare Software grade of Class I preparation at\n300{\\mu}m tolerance had the smallest mean difference of 1.64 points on a 100\npoints scale compared to the average faculty grade. Class II preparation at\n400{\\mu}m tolerance had the smallest mean difference of 0.41 points. Finally,\nClass II Restoration at 300{\\mu}m tolerance had the smallest mean difference at\n0.20 points. Conclusion: In this study, tolerance levels that best correlated\nthe Compare Software grades with the faculty grades were determined for three\noperative procedures: class I preparation, class II preparation and class II\nrestoration. This Compare Software can be used as a useful adjunct method for\nmore objective grading. It also can be used by students as a great\nself-assessment tool.","PeriodicalId":501219,"journal":{"name":"arXiv - QuanBio - Other Quantitative Biology","volume":"245 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effectiveness of Self-Assessment Software to Evaluate Preclinical Operative Procedures\",\"authors\":\"Qi Dai, Ryan Davis, Houlin Hong, Ying Gu\",\"doi\":\"arxiv-2404.05865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objectives: To assess the effectiveness of digital scanning techniques for\\nself-assessment and of preparations and restorations in preclinical dental\\neducation when compared to traditional faculty grading. Methods: Forty-four\\nseparate Class I (#30-O), Class II (#30-MO) preparations, and class II amalgam\\nrestorations (#31-MO) were generated respectively under preclinical assessment\\nsetting. Calibrated faculty evaluated the preparations and restorations using a\\nstandard rubric from preclinical operative class. The same teeth were scanned\\nusing Planmeca PlanScan intraoral scanner and graded using the Romexis E4D\\nCompare Software. Each tooth was compared against a corresponding gold standard\\ntooth with tolerance intervals ranging from 100{\\\\mu}m to 500{\\\\mu}m. These\\nscores were compared to traditional faculty grades using a linear mixed model\\nto estimate the mean differences at 95% confidence interval for each tolerance\\nlevel. Results: The average Compare Software grade of Class I preparation at\\n300{\\\\mu}m tolerance had the smallest mean difference of 1.64 points on a 100\\npoints scale compared to the average faculty grade. Class II preparation at\\n400{\\\\mu}m tolerance had the smallest mean difference of 0.41 points. Finally,\\nClass II Restoration at 300{\\\\mu}m tolerance had the smallest mean difference at\\n0.20 points. Conclusion: In this study, tolerance levels that best correlated\\nthe Compare Software grades with the faculty grades were determined for three\\noperative procedures: class I preparation, class II preparation and class II\\nrestoration. This Compare Software can be used as a useful adjunct method for\\nmore objective grading. It also can be used by students as a great\\nself-assessment tool.\",\"PeriodicalId\":501219,\"journal\":{\"name\":\"arXiv - QuanBio - Other Quantitative Biology\",\"volume\":\"245 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Other Quantitative Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2404.05865\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Other Quantitative Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2404.05865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effectiveness of Self-Assessment Software to Evaluate Preclinical Operative Procedures
Objectives: To assess the effectiveness of digital scanning techniques for
self-assessment and of preparations and restorations in preclinical dental
education when compared to traditional faculty grading. Methods: Forty-four
separate Class I (#30-O), Class II (#30-MO) preparations, and class II amalgam
restorations (#31-MO) were generated respectively under preclinical assessment
setting. Calibrated faculty evaluated the preparations and restorations using a
standard rubric from preclinical operative class. The same teeth were scanned
using Planmeca PlanScan intraoral scanner and graded using the Romexis E4D
Compare Software. Each tooth was compared against a corresponding gold standard
tooth with tolerance intervals ranging from 100{\mu}m to 500{\mu}m. These
scores were compared to traditional faculty grades using a linear mixed model
to estimate the mean differences at 95% confidence interval for each tolerance
level. Results: The average Compare Software grade of Class I preparation at
300{\mu}m tolerance had the smallest mean difference of 1.64 points on a 100
points scale compared to the average faculty grade. Class II preparation at
400{\mu}m tolerance had the smallest mean difference of 0.41 points. Finally,
Class II Restoration at 300{\mu}m tolerance had the smallest mean difference at
0.20 points. Conclusion: In this study, tolerance levels that best correlated
the Compare Software grades with the faculty grades were determined for three
operative procedures: class I preparation, class II preparation and class II
restoration. This Compare Software can be used as a useful adjunct method for
more objective grading. It also can be used by students as a great
self-assessment tool.