A periodontal probe with automated cemento-enamel detection-design and clinical trials

Jeffcoat, Marjorie K.; Jeffcoat, Robert L.; Captain, K. M.

doi:10.1109/10.133226

Cited by 22 publications

(11 citation statements)

References 16 publications

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“…The periodontal probe developed by Jeffcoat et al [17] is an example. It determines pocket depth from the cemento-enamel junction, which better corresponds to the clinically relevant attachment loss than the traditional probes.…”

Section: Validation Of a Methods That Is Expected To Be 'Better' Than mentioning

confidence: 99%

“…For instance, determination of pocket depth with the new pocket probe [17] was validated in a beagle dog model against the diagnostically more relevant quantity 'true attachment', determined after extraction of the tooth. The use of magnetic resonance imaging to determine disc displacement as a component of the diagnosis of temporomandibular joint disorders was validated on cadaver material against histology [18].…”

Section: Validation Of a Methods That Is Expected To Be 'Better' Than mentioning

confidence: 99%

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Characterization and Validation of Diagnostic Methods

Bosch

Angmar‐Månsson²

2000

Monographs in Oral Science

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Diagnosis is defined as the determination of disease, but not as the determination of the signs and symptoms thereof. The use of modern diagnostic methodology in the clinic is hampered by cost considerations and by the still widespread belief that, e.g. caries lesions and periodontal breakdown are irreversible processes that need to be detected and treated invasively as early as possible, their measurement thus being irrelevant. Modern instrumental and quantitative methods allow early detection and introduction of noninvasive preventive measures to control the development of the disease. Such methods are also very beneficial in clinical research as they may describe the speed of progress or regress of disease. In epidemiology, such methods reduce the classical problem of calibration of observers. Repeatability, reproducibility, accuracy and validity are defined as method-characterizing quantities, for which examples are given. To express the validity of quantitative methods compared with a quantitative gold standard, the use of scatter plots and correlation and regression methods is suggested. Validation of a dichotomous method with a dichotomous gold standard in terms of sensitivity and specificity is discussed. To validate a quantitative method with a dichotomous gold standard, the receiver operating characteristic curve is suggested, with the requirement that the cutoff value should be determined in relation to the use of the method. However, preferably a quantitative method should not be reduced to a dichotomous one by using a cutoff value, but instead all available information should be used by the diagnostician. It is argued that the use of a secondary standard instead of the accepted gold standard usually leads to inadequate results, even when the validity of the secondary standard is known. Finally, it is argued that the choice of a gold standard is a matter of reasoning and weighing of arguments and not of following a prescribed procedure.

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Section: Validation Of a Methods That Is Expected To Be 'Better' Than mentioning

confidence: 99%

Section: Validation Of a Methods That Is Expected To Be 'Better' Than mentioning

confidence: 99%

Characterization and Validation of Diagnostic Methods

Bosch

Angmar‐Månsson²

2000

Monographs in Oral Science

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“…The present study provided information on the extent to which CAL I may be overestimated. The overestimation of CAL I observed here, of 0.5 mm, might be related in the accumulation of well‐known errors inherent in periodontal probing because the indirect method is based on the sum of two recordings (PPD and GR) to obtain the final value (CAL I ). It is believed that this overestimation may be a result of the combination of two measures that are also subject to errors.…”

Section: Discussionmentioning

confidence: 66%

“…On the other hand, in the presence of GR, although it is still possible to measure the extent of CAL directly (CAL D ) by visualisation of the probe over the reference point, some authors choose to measure it indirectly: the CAL (CAL I ) from the sum of the PPD and GR values. However, from a mathematical standpoint, because both PPD and GR are subject to measurement errors, their combined use to determine the CAL I could lead to the compounding of errors that could interfere with the final CAL value.…”

Section: Introductionmentioning

confidence: 99%

Clinical attachment loss: estimation by direct and indirect methods

Barbosa

Angst

Stadler

et al. 2016

International Dental Journal

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“…The probe would automatically recognize the transition from enamel to cementum and use it as a landmark for measuring the attachment level. Jeffcoat et al (1991) have described a periodontal probe that analyzes the natural topography of the tooth as a feature for developing an algorithm. Their analysis of the motion and displacement of a controlled-force, accelerated periodontal probe moving from the convex enamel to the flat cementum yielded results with a high degree of repeatability and validity.…”

Section: Discussionmentioning

confidence: 99%

Feasibility of Computer-assisted Recognition of Different Dental Hard Tissues

2000

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For pattern recognition, fuzzy set theory has been proven to be highly useful. The aim of the present investigation was to combine the fuzzy set with an ultrasonic scaler, to test its suitability for automatic detection of different tooth substances. An experienced operator placed the tip of a piezoceramic ultrasonic scaler on a tooth, thereby inducing oscillations in the contact area around the ultrasonic tip. Each surface showed a characteristic oscillatory behavior in the immediate vicinity of the tip. The oscillations were then re-transmitted to the scaler tip and recorded by the measurement of variations in current and voltage. Because the ultrasonic scaler is driven by piezoceramics, it can be used as both an oscillatory excitation and a sensor system. The data were processed with Fast Fourier transformation and analyzed by means of a fuzzy pattern recognition algorithm. Re-classification of the different measurements was carried out by the experienced operator's assessment. With a combination of six features (frequencies), re-classification was correct for 99% of all surfaces. The diagnostic reliability of the system was tested by the assessment of 50 teeth for which no learning data had previously been recorded. The unknown samples were correctly classified to 100%. The excellent results of these experiments suggest promising possibilities for the implementation of new diagnostic and therapeutic instruments in periodontology practice.

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A periodontal probe with automated cemento-enamel detection-design and clinical trials

Cited by 22 publications

References 16 publications

Characterization and Validation of Diagnostic Methods

Characterization and Validation of Diagnostic Methods

Clinical attachment loss: estimation by direct and indirect methods

Feasibility of Computer-assisted Recognition of Different Dental Hard Tissues

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