A closer look at diagnosis in clinical dental practice: Part 2. Using predictive values and receiver operating characteristics in assessing diagnostic accuracy

Journal of the Canadian Dental Association

Volumn 70, Issue 5, 2004, Pages 313-316

  Pretty, Iain A ^a,e   Maupomé, Gerardo ^b,c,d  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b CENTER FOR HEALTH RESEARCH   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^e UNIVERSITY DENTAL HOSPITAL OF MANCHESTER   (United Kingdom)

Author keywords

Decision support techniques; Predictive value of tests; Risk assessment methods

Indexed keywords

AREA UNDER THE CURVE; ARTICLE; DECISION SUPPORT SYSTEM; EVALUATION; HUMAN; MOUTH DISEASE; PREDICTION AND FORECASTING; REPRODUCIBILITY; ROC CURVE;

AREA UNDER CURVE; DECISION SUPPORT TECHNIQUES; DIAGNOSIS, ORAL; HUMANS; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 4043097480     PISSN: 14882159     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. Pretty IA, Maupomé G. A closer look at diagnosis in clinical dental practice: Part 1. Reliability, validity, specificity and sensitivity of diagnostic procedures. J Can Dent Assoc 2004; 70(4):251-5. Available from: URL: http://www.cda-adc.ca/jcda/vol-70/issue-4/251.html. Part 1 contains a glossary of epidemiology terms.
2. Everitt BS. Statistical methods for medical investigators. London: Edward Arnold; 1989.
3. van Erkel AR, Pattynama PM. Receiver operating characteristic (ROC) analysis: basic principles and applications in radiology. Eur J Radiol 1998; 27(2):88-94.
4. Swets JA, Pickett RM. Evaluation of diagnostic systems: methods from signal detection theory. New York (NY): Academic Press; 1982.
5. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982; 143(1):29-36.
6. Kay EJ, Knill-Jones R. Variation in restorative treatment decisions: application of receiver operating characteristic curve (ROC) analysis. Community Dent Oral Epidemiol 1992; 20(3):113-7.
7. Hanley JA, McNeil BJ. A method of comparing receiver operating characteristic curves derived from the same cases. Radiology 1983; 148(3):839-43.
8. Metz CE KH. Statistical significance tests for binomial ROC curves. J Mathematical Psychology 1980; 22:218-43.
9. Swaving M, van Houwelingen H, Ottes FP, Steerneman T. Statistical comparison of ROC curves from multiple readers. Med Decis Mak 1996; 16(2):143-52.
10. Vaarkamp J, ten Bosch JJ, Verdonschot EH, Bronkhoorst EM. The real performance of bitewing radiography and fiber-optic transillumination in approximal caries diagnosis. J Dent Res 2000; 79(10):1747-51.
11. Ramesh A, Tyndall DA, Ludlow JB. Evaluation of a new digital panoramic system: a comparison with film. Dentomaxillofac Radiol 2001; 30(2):98-100.
12. Ashley PF, Blinkhorn AS, Davies RM. Occlusal caries diagnosis: an in vitro histological validation of the Electronic Caries Monitor (ECM) and other methods. J Dent 1998; 26(2):83-8.
13. al-Ismaily M, Chestnutt IG, al-Khussaiby A, Stephen KW, al-Riyami A, Abbas M, and others. Prevalence of dental caries in Omani 6-year-old children. Community Dent Health 1997; 14(2):171-4.
14. Sagel PA, Lapujade PG, Miller JM, Sunberg RJ. Objective quantification of plaque using digital image analysis. Monogr Oral Sci 2000; 17:130-43.
15. Hildebolt CF, Vannier MW, Shrout MK, Pilgram TK. ROC analysis of observer-response subjective rating data - application to periodontal radiograph assessment. Am J Phys Anthropol 1991; 84(3):351-61.
16. Yoshiura K, Kanda S. Analysis of the diagnostic process in sialography. Dentomaxillofac Radiol 1990; 19(4):149-56.