Factors affecting interpretation of dental radiographs

1. Balogh EP, , Miller BT, , Ball JR, eds. The National Academies of Sciences, Engineering and M. In: Improving Diagnosis in Health Care [Internet]. Washington, DC: The National Academies Press; 2015. Available from: https://www.nap.edu/catalog/21794/improving-diagnosis-in-health-care

2. Corbet EF, , Ho DKL, , Lai SML. Radiographs in periodontal disease diagnosis and management. Aust Dent J 2009; 54 Suppl 1: S27–43. doi: https://doi.org/10.1111/j.1834-7819.2009.01141.x

3. Fogarty WP, , Drummond BK, , Brosnan MG. The use of radiography in the diagnosis of oral conditions in children and adolescents. N Z Dent J 2015; 111: 144–50.

4. Krupinski EA. The role of perception in imaging: past and future. Semin Nucl Med 2011; 41: 392–400. doi: https://doi.org/10.1053/j.semnuclmed.2011.05.002

5. Gray JE, , Taylor KW, , Hobbs BB. Detection accuracy in chest radiography. AJR Am J Roentgenol 1978; 131: 247–53. doi: https://doi.org/10.2214/ajr.131.2.247

6. Waite S, , Scott J, , Gale B, , Fuchs T, , Kolla S, , Reede D. Interpretive error in radiology. AJR Am J Roentgenol 2017; 208: 739–49. doi: https://doi.org/10.2214/AJR.16.16963

7. Bruno MA, , Walker EA, , Abujudeh HH. Understanding and confronting our mistakes: the epidemiology of error in radiology and strategies for error reduction. Radiographics 2015; 35: 1668–76. doi: https://doi.org/10.1148/rg.2015150023

8. Kim, YML. Fool me twice: delayed diagnosis in radiology. Am J Roentgenol 2014; 202: 465–70.

9. Pinto A, , Brunese L. Spectrum of diagnostic errors in radiology. World J Radiol 2010; 2: 377–83. doi: https://doi.org/10.4329/wjr.v2.i10.377

10. Bruno MA, , Walker EA, , Abujudeh HH. Understanding and confronting our mistakes: the epidemiology of error in radiology and strategies for error reduction. Radiographics 2015; 35: 1668–76. doi: https://doi.org/10.1148/rg.2015150023

11. Kundel HL, , Nodine CF, , Carmody D. Visual scanning, pattern recognition and decision-making in pulmonary nodule detection. Invest Radiol 1978; 13: 175–81. doi: https://doi.org/10.1097/00004424-197805000-00001

12. Berlin L. Accuracy of diagnostic procedures: has it improved over the past five decades? AJR Am J Roentgenol 2007; 188: 1173–78. doi: https://doi.org/10.2214/AJR.06.1270

13. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Br Med J 2021; 372(7).

14. Pluye P, , Hong QN. Combining the power of stories and the power of numbers: mixed methods research and mixed studies reviews. Annu Rev Public Health 2014; 35: 29–45. doi: https://doi.org/10.1146/annurev-publhealth-032013-182440

15. Milgrom P. Quality control of end results: identifying avoidable adverse events in dentistry. J Am Dent Assoc 1975; 90: 1282–90. doi: https://doi.org/10.14219/jada.archive.1975.0279

16. Mileman PA, , van den Hout WB. Comparing the accuracy of Dutch dentists and dental students in the radiographic diagnosis of dentinal caries. Dentomaxillofac Radiol 2002; 31: 7–14. doi: https://doi.org/10.1038/sj.dmfr.4600652

17. Diniz MB, , Rodrigues JA, , Neuhaus KW, , Cordeiro RCL, , Lussi A. Influence of examiner’s clinical experience on the reproducibility and accuracy of radiographic examination in detecting occlusal caries. Clin Oral Investig 2010; 14: 515–23. doi: https://doi.org/10.1007/s00784-009-0323-z

18. Lazarchik DA, , Firestone AR, , Heaven TJ, , Filler SJ, , Lussi A. Radiographic evaluation of occlusal caries: effect of training and experience. Caries Res 1995; 29: 355–58. doi: https://doi.org/10.1159/000262092

19. Castner N, , Appel T, , Eder T, , Richter J, , Scheiter K, , Keutel C, , et al.. Pupil diameter differentiates expertise in dental radiography visual search. [PLoS One [Internet]]. PLoS One 2020; 15(5): e0223941. doi: https://doi.org/10.1371/journal.pone.0223941

20. Bussaneli DG, , Boldieri T, , Diniz MB, , Rivera LML, , Santos-Pinto L, , Cordeiro RDCL. Influence of professional experience on detection and treatment decision of occlusal caries lesions in primary teeth. Int J Paediatr Dent 2015; 25: 418–27. doi: https://doi.org/10.1111/ipd.12148

21. Vizzotto MB, , Da Silveira PF, , Liedke GS, , Arus NA, , Montagner F, , Silveira HLD, , et al.. Diagnostic reproducibility of the second mesiobuccal canal by CBCT: influence of potential factors. ORAL Radiol 2015; 31: 160–64. doi: https://doi.org/10.1007/s11282-015-0210-z

22. Plessas A, , Nasser M, , Hanoch Y, , O’Brien T, , Bernardes Delgado M, , Moles D. Impact of time pressure on dentists’ diagnostic performance. J Dent 2019; 82: 38–44. doi: https://doi.org/10.1016/j.jdent.2019.01.011

23. Krupinski EA. Current perspectives in medical image perception. Atten Percept Psychophys 2010; 72: 1205–17. doi: https://doi.org/10.3758/APP.72.5.1205

24. Malterud K. The art and science of clinical knowledge: evidence beyond measures and numbers. Lancet 2001; 358: 397–400. doi: https://doi.org/10.1016/S0140-6736(01)05548-9

25. Denovan A, , Dagnall N. Development and evaluation of the chronic time pressure inventory. Front Psychol 2019; 10: 2717. doi: https://doi.org/10.3389/fpsyg.2019.02717

26. ALQahtani DA, , Rotgans JI, , Ahmed NE, , Alalwan IA, , Magzoub MEM. The influence of time pressure and case complexity on physicians׳ diagnostic performance. Health Professions Education 2016; 2: 99–105. doi: https://doi.org/10.1016/j.hpe.2016.01.006

27. Iskander M. Burnout, cognitive overload, and metacognition in medicine. Med Sci Educ 2019; 29: 325–28. doi: https://doi.org/10.1007/s40670-018-00654-5

28. Pinto A, , Brunese L, , Pinto F, , Reali R, , Daniele S, , Romano L. The concept of error and malpractice in radiology. Semin Ultrasound CT MR 2012; 33: 275–79. doi: https://doi.org/10.1053/j.sult.2012.01.009

29. Brady A, , Laoide RÓ, , McCarthy P, , McDermott R. Discrepancy and error in radiology: concepts, causes and consequences. Ulster Med J 2012; 81: 3–9.

30. Waite S, , Grigorian A, , Alexander RG, , Macknik SL, , Carrasco M, , Heeger DJ, , et al.. Analysis of perceptual expertise in radiology - current knowledge and a new perspective. Front Hum Neurosci 2019; 13: 213. doi: https://doi.org/10.3389/fnhum.2019.00213

31. Renfrew DL, , Franken EAJ, , Berbaum KS, , Weigelt FH, , Abu-Yousef MM. Error in radiology: classification and lessons in 182 cases presented at a problem case conference. Radiology 1992; 183: 145–50. doi: https://doi.org/10.1148/radiology.183.1.1549661

32. Pinto A, , Acampora C, , Pinto F, , Kourdioukova E, , Romano L, , Verstraete K. Learning from diagnostic errors: a good way to improve education in radiology. Eur J Radiol 2011; 78: 372–76. doi: https://doi.org/10.1016/j.ejrad.2010.12.028

33. Lee CS, , Nagy PG, , Weaver SJ, , Newman-Toker DE. Cognitive and system factors contributing to diagnostic errors in radiology. AJR Am J Roentgenol 2013; 201: 611–17. doi: https://doi.org/10.2214/AJR.12.10375

34. Schwendicke F, , Tzschoppe M, , Paris S. Radiographic caries detection: a systematic review and meta-analysis. J Dent 2015; 43: 924–33. doi: https://doi.org/10.1016/j.jdent.2015.02.009

35. Brady AP. Error and discrepancy in radiology: inevitable or avoidable? Insights Imaging 2017; 8: 171–82. doi: https://doi.org/10.1007/s13244-016-0534-1

36. Degnan AJ, , Ghobadi EH, , Hardy P, , Krupinski E, , Scali EP, , Stratchko L, , et al.. Perceptual and interpretive error in diagnostic radiology-causes and potential solutions. Acad Radiol 2019; 26: 833–45. doi: https://doi.org/10.1016/j.acra.2018.11.006

37. Berlin L. Radiologic errors, past, present and future. Diagnosis (Berl) 2014; 1: 79–84: /j/dx.2014.1.issue-1/dx-2013-0012/dx-2013-0012.xml. doi: https://doi.org/10.1515/dx-2013-0012

38. Preisz A. Fast and slow thinking; and the problem of conflating clinical Reasoning and ethical deliberation in acute decision-making. J Paediatr Child Health 2019; 55: 621–24. doi: https://doi.org/10.1111/jpc.14447

39. Cervellin G, , Borghi L, , Lippi G. Do clinicians decide relying primarily on bayesians principles or on gestalt perception? some pearls and pitfalls of gestalt perception in medicine. Intern Emerg Med 2014; 9: 513–19. doi: https://doi.org/10.1007/s11739-014-1049-8

40. Koontz NA, , Gunderman RB. Gestalt theory: implications for radiology education. AJR Am J Roentgenol 2008; 190: 1156–60. doi: https://doi.org/10.2214/AJR.07.3268

41. Berenholtz SM, , Pronovost PJ, , Lipsett PA, , Hobson D, , Earsing K, , Farley JE, , et al.. Eliminating catheter-related bloodstream infections in the intensive care unit. Crit Care Med 2004; 32: 2014–20. doi: https://doi.org/10.1097/01.ccm.0000142399.70913.2f

42. Weiss MJ, , Kramer C, , Tremblay S, , Côté L. Attitudes of pediatric intensive care unit physicians towards the use of cognitive aids: a qualitative study. BMC Med Inform Decis Mak 2016; 16: 53. doi: https://doi.org/10.1186/s12911-016-0291-6

43. Krombach JW, , Edwards WA, , Marks JD, , Radke OC. Checklists and other cognitive AIDS for emergency and routine anesthesia care-A survey on the perception of anesthesia providers from a large academic us institution. Anesth Pain Med 2015; 5(4): e26300. doi: https://doi.org/10.5812/aamp.26300v2

留言 (0)

沒有登入
gif