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Record W6909243666 · doi:10.34944/dspace/1748

IN VITRO EVALUATION OF A DIFFERENTIAL REFLECTOMETRY DENTAL CALCULUS DETECTION INSTRUMENT

2017· other· en· W6909243666 on OpenAlexaboutno aff

Bibliographic record

VenueTUScholarShare (Temple University) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCalculus (dental)ReflectometryDifferential calculusTooth surfaceDifferential (mechanical device)

Abstract

fetched live from OpenAlex

Objectives: The presence of subgingival dental calculus on tooth root surfaces, an important risk factor in the pathogenesis of human periodontitis, is clinically challenging to reliably detect with existing tactile-based, manual forms of dental instrumentation. In 2003, the United States Food and Drug Administration granted approval for marketing in the United States of a differential reflectometry-based device (DetecTar, NEKS Technologies, Laval, Quebec, Canada) for detection of subgingival dental calculus in humans. The instrument employs a light-emitting diode to deliver red light from the visible light region of the electromagnetic spectrum, with a 635 nm-specific wavelength, onto tooth root surfaces through an optical fiber extending to the tip of a periodontal probe-like handpiece. The optical fiber also collects light reflected back from oral surfaces, from which the optical signature of dental calculus is identified by matching the spectra of the reflected light to an internal computer software database containing red light spectra characteristic of dental calculus in its reference library. To date, only a limited amount of in vitro and in vivo research has been conducted on the DetecTar differential reflectometry device. As a result, the purpose of this study was to to assess, with an in vitro typodont model system, the ability of the DetecTar differential reflectometry device to reliably identify subgingival dental calculus on tooth root surfaces. Methods: A total of 108 subgingival sites on mandibular posterior plastic teeth, of which 73 (67.6%) exhibited artificial dental calculus deposits, were mounted within typodont models of the human oral cavity, comprised of white plastic teeth emerging from and surrounded by anatomically-accurate pink silicone gingival and palatal soft tissues. Each typodont was attached to a phantom head with simulated soft tissue mouth shrouds. Sheep blood was irrigated into subgingival and interproximal areas around typodont teeth to simulate gingival tissue inflammation, and artificial saliva applied onto supragingival typodont tooth surfaces to further simulate typical oral cavity conditions in humans. The 108 test subgingival surfaces were then evaluated with the DetecTar differential reflectometry device in duplicate readings performed by a single periodontist examiner blinded to the typodont distribution of subgingival dental calculus. Emission of a sustained audible signal tone from the DetecTar differential reflectometry device upon entry of its optical fiber tip into typodont periodontal pockets indicated detection of subgingival dental calculus. The diagnostic performance of the DetecTar differential reflectometry device, relative to in vitro detection of subgingival dental calculus, was assessed among all test root surfaces, as well as among proximal and non-proximal root surfaces, with calculations of sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood value, negative likelihood value, diagnostic odds ratio, accuracy (diagnostic effectiveness), and Youden’s Index. Results: Among all root surfaces, the DetecTar differential reflectometry device revealed a sensitivity of 75.4%, specificity of 86.3%, positive predictive value of 86.0%, negative predictive value of 75.9%, positive likelihood value of 5.5, negative likelihood value of 0.3, diagnostic odds ratio of 19.6, accuracy (diagnostic effectiveness) of 80.6%, and Youden’s index value of 0.62, for in vitro detection of subgingival dental calculus. More favorable diagnostic test findings for the device were found on non-proximal (buccal and lingual) than proximal (mesial and distal) root surfaces, with accuracy (diagnostic effectiveness) values 22.7% lower at proximal sites, indicating a poorer performance capability of differential reflectometry within interproximal periodontal pockets. Only a fair level (kappa = 0.42) of reproducibility was found in duplicate scoring of tooth root surfaces for subgingival dental calculus by the DetecTar differential reflectometry device. Conclusions: These study findings suggest marked limitations in the potential clinical utility of the DetecTar differential reflectometry device for detection of subgingival dental calculus. The device demonstrated markedly decreased in vitro accuracy on mesial and distal typodont tooth root surfaces, as compared to non-proximal tooth sites, and exhibited only a fair level of reproducibility in duplicate assessments. The overall performance of the DetecTar differential reflectometry device appears to be inferior to similar assessments of typodont tooth root surfaces conducted by other investigators with more conventional tactile-based, manual instrumentation. Based on these in vitro findings, routine clinical utilization of the DetecTar differential reflectometry device in dental practice is not recommended.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.308
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
Admission routes1
Has abstractyes

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