Evidence map›Paper›PMID 41474657›Full record

ArticleCaries research2025

Potential of Digital Approaches in Evaluating Rodent Caries.

Ruqian Yang, Hafeza Chowdhury, Saishaa Gupta, Yuan Liu, Xingyi Lu, Nora Alomeir, TongTong Wu, Yan Wu, Jin Xiao

Abstract read
In one paragraph

Article in Caries research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Ruqian YangEastman Institute for Oral Health, University of Rochester Medical Center, Rochester, New York, USA.
Hafeza ChowdhuryDepartment of Biology, University of Rochester, Rochester, New York, USA.
Saishaa GuptaDepartment of Biology, University of Rochester, Rochester, New York, USA.
Yuan LiuKornberg School of Dentistry, Temple University, Philadelphia, Pennsylvania, USA.
Xingyi LuEastman Institute for Oral Health, University of Rochester Medical Center, Rochester, New York, USA.
Nora AlomeirEastman Institute for Oral Health, University of Rochester Medical Center, Rochester, New York, USA.
TongTong WuDepartment of Statistics, University of Rochester, Rochester, New York, USA.
Yan WuEastman Institute for Oral Health, University of Rochester Medical Center, Rochester, New York, USA.
Jin XiaoEastman Institute for Oral Health, University of Rochester Medical Center, Rochester, New York, USA, jin_xiao@urmc.rochester.edu.

Funding

Understand biological factors underlying early childhood caries disparity from the oral microbiome in early infancyR01DE031025 · NIDCR · UNIVERSITY OF ROCHESTER · PI STEVEN R. GILL, Tongtong Wu · 2022 to 2026
$3.9M
Association between early Candida infection (oral thrush) and severe early childhood cariesK23DE032419 · NIDCR · UNIVERSITY OF PENNSYLVANIA · PI Yuan Liu · 2023 to 2026
$672k
NIDCR NIH HHS K23 DE032419NIDCR NIH HHS R01 DE031025
6 · The paper itself

Abstract

introductionThis study aimed to assess the sensitivity, specificity, and accuracy of a digital-based method for caries assessment in a rodent model, compared to a conventional modified-Keyes method.

methodsOne hundred and eight mandible molars of Sprague-Dawley rats were collected from a cariogenic caries rodent model, including both caries-free and carious teeth. Smooth surfaces were evaluated using digital photography, whereas sulcal lesions and volumetric quantification were assessed with micro-CT and the Amira software. In the conventional assessment, smooth surfaces were examined under a stereomicroscope with tactile probing, and sulcal surfaces were evaluated on stained, sectioned teeth. Sensitivity, specificity, and accuracy of the digital approaches were calculated, with the conventional method serving as the gold standard. Spearman correlation analysis was conducted between conventional enamel caries scores, combined digital (photography and micro-CT) enamel caries scores, and micro-CT quantified remaining enamel volume.

resultsA total of 107 <sc>m</sc> were available for smooth surfaces evaluation, and 98 <sc>m</sc> were included for sulcal surfaces, tooth-level caries detection and enamel lesion assessments. For smooth surfaces, the digital photographic method demonstrated an accuracy of 88.0%, with a sensitivity of 88.8% and a specificity of 85.7%. In the evaluation of sulcal caries, Micro-CT analysis achieved an accuracy of 96.9%, with 100% sensitivity and 87.0% specificity. For tooth-level caries detection, the combined digital approaches of smooth surface photography and sulcal micro-CT slicing achieved 96.9% accuracy, 97.6% sensitivity, and 92.9% specificity.

conclusionsThis study demonstrates the efficacy of digital photography and micro-CT in the caries assessment of rodent models. The findings support the establishment of a standardized, nondestructive imaging protocol to enhance consistency in caries research.

Indexed as

Animal studiesCaries detectionImage analysis

Identifiers

PMID41474657
PMCPMC12860558

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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.