Evidence map›Paper›PMID 41121144›Full record

ArticleBMC oral health2025

Radiographic analysis of primary first molars in pediatric dentistry: a retrospective study.

Wenzhe You, Wenfeng Song, Linjie Li, Xingyu Quan, Hui Guo, Yifan Luo, Jing Li

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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wenzhe YouOral Medical Center, China-Japan Friendship Hospital, Beijing, 100029, China.
Wenfeng SongSchool of Computer Science, Beijing Information Science and Technology University, Beijing, 102206, China.
Linjie LiOral Medical Center, China-Japan Friendship Hospital, Beijing, 100029, China.
Xingyu QuanOral Medical Center, China-Japan Friendship Hospital, Beijing, 100029, China.
Hui GuoOral Medical Center, China-Japan Friendship Hospital, Beijing, 100029, China.
Yifan LuoSchool of Computer Science, Beijing Information Science and Technology University, Beijing, 102206, China.
Jing LiOral Medical Center, China-Japan Friendship Hospital, Beijing, 100029, China. lijingbmu@sina.com.

Funding

National High Level Hospital Clinical Research Funding 2023-NHLHCRF-YYPPLC-TJ-11
6 · The paper itself

Abstract

backgroundThe first primary molar plays a crucial role in maintaining occlusion and guiding the eruption of permanent teeth. This study aimed to analyze the radiographic characteristics of the primary first molar using periapical radiographs and investigate the correlation between root resorption, periapical radiolucency, and various clinical factors.

methodsA retrospective study was conducted using 504 eligible periapical radiographs of primary first molars, obtained from children aged between 3.5 and 10.75 years between April 1 and September 7, 2022. Tooth position, crown condition, root canal condition, root resorption condition, periapical radiolucency, and integrity of the bony crypt of the permanent tooth germ were analyzed. Generalized linear mixed models were performed to determine significant correlations between root resorption, periapical radiolucency, and various clinical indicators.

resultsPathological root resorption was significantly associated with age (p < 0.0001), with a higher prevalence observed in children aged 6-8 years (30.83%) compared to those under 6 years (9.20%). Pathological resorption was more frequently observed in teeth with deep carious lesions involving the pulp (p = 0.0001) and those containing radiopaque restorative materials (p = 0.0237). Periapical radiolucency was significantly correlated with age, the presence of deep caries, and root canal filling materials (all p < 0.0001), showing a strong correlation between advanced carious lesions and apical periodontitis. Additionally, root resorption was significantly associated with the presence of high-density materials in the root canal (p < 0.0001). The integrity of the alveolar bone plate overlying the permanent tooth germ was significantly affected by the presence of root resorption (p < 0.0001), age (p < 0.0001), and tooth position, with the left and right lower primary first molars showing the higher prevalence of bone plate damage (p = 0.0003).

conclusionsThis study highlights the importance of age and dental caries progression in the pathological resorption of primary first molars. The presence of deep carious lesions and the presence of high-density materials in the root canal are significantly associated with root and periapical changes.

Indexed as

MolarRoot ResorptionTooth, DeciduousAge FactorsChildChild, PreschoolDental CariesFemaleHumansMalePediatric DentistryRadiography, DentalRetrospective StudiesChronic apical periodontitisDental cariesPediatric dentistryPeriapical radiographsPrimary molarsRadiographic imaging

Identifiers

PMID41121144
PMCPMC12542458

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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.