Evidence map›Paper›PMID 29851354›Full record

ArticleDento maxillo facial radiology2018

Spatial agreement of demineralized areas in quantitative light-induced fluorescence images and digital photographs.

Rosalia Tatano, Benjamin Berkels, Eva E Ehrlich, Thomas M Deserno, Ulrike B Fritz

Abstract read
In one paragraph

Article in Dento maxillo facial radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rosalia Tatano1 Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University , Aachen , Germany.
Benjamin Berkels1 Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University , Aachen , Germany.
Eva E Ehrlich2 Klinik für Kieferorthopädie, Uniklinik RWTH Aachen , Aachen , Germany.
Thomas M Deserno3 Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig - Institute of Technology and Hannover Medical School , Braunschweig , Germany.
Ulrike B Fritz2 Klinik für Kieferorthopädie, Uniklinik RWTH Aachen , Aachen , Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrevious work has shown qualitatively that detection of demineralized tooth areas (white spot lesions, WSLs) is more reliable in digital photographs (DP) as in quantitative light-induced fluorescence (QLF) images. Based on non-rigid, multimodal image registration, we now quantitatively compare manual and automatic markings in both modalities.

methodsAfter braces removal, pairs of DP and QLF were acquired from 124 teeth of 31 patients. Three experienced raters marked the WSL on both DP and QLF images, each of which was presented twice in randomized order. For each tooth and each modality, a ground truth (GT) was established using the simultaneous truth and performance level estimation algorithm on the total of six manual markings per image. DP and QLF image pairs were spatially registered, by aligning the outline of the tooth area in DPs to that of the corresponding tooth area in QLF. Between all pairs of markings for all teeth, position and size were compared quantitatively by the Dice coefficient and the novel coefficient of inclusion.

resultsOur hypotheses: (i) the clinical inspection supported by DP is more sensitive to WSL as that by QLF, disregarding whether the automatic analysis or the experts' manual assessment of QLF is applied, and (ii) detected lesions in QLF are included in those of DP, were confirmed and not confirmed, respectively.

conclusionDP and QLF are valuable methods to detect WSL in demineralized teeth. Combining both modalities can provide additional information on early lesion assessment.

Indexed as

Quantitative Light-Induced FluorescenceTooth DemineralizationAdolescentAdultChildDental CariesFemaleHumansLightMalePhotography, DentalRandom AllocationToothYoung Adult

Identifiers

PMID29851354
PMCPMC6326398

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.