Evidence map›Paper›PMID 41392034›Full record

ArticleScientific data2025

BRAR-anchored multimodal dataset of panoramic radiographs for periodontal bone resorption grading.

Yiru Xia, Zhi Li, Zhikai Lin, Shuai Wang, Yaqi Wang, Yufeng Xie

Abstract readDataset
In one paragraph

Article in Scientific data, 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

6 authors.

Yiru Xia *Department of Periodontology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-9955-7375
Zhi Li *School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China.ORCID http://orcid.org/0000-0002-8789-0151
Zhikai LinDepartment of Periodontology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Shuai WangSchool of Cyberspace, Hangzhou Dianzi University, Hangzhou, China. shuaiwang.tai@gmail.com.
Yaqi WangInnovation Center for Electronic Design Automation Technology, Hangzhou Dianzi University, Hangzhou, China. wangyaqi@hdu.edu.cn.ORCID http://orcid.org/0000-0002-4627-3392
Yufeng XieDepartment of Periodontology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China. yufengxie_123@163.com.

Funding

Shanghai Hospital Development Center (SHDC) SHDC22024247
6 · The paper itself

Abstract

Accurate assessment of alveolar bone resorption from panoramic radiographs is crucial for diagnosing and managing periodontal disease. However, the development of robust, automated diagnostic tools is hindered by a lack of large-scale, expertly annotated multimodal datasets. To address this, we present a comprehensive dataset from 1,104 patients, integrating demographic information, full-mouth panoramic radiographs, and clinician-annotated clinical indicators at both patient and tooth levels. A key feature is the Bone Resorption Age Ratio (BRAR), which standardizes bone resorption assessment. Annotations were validated by experienced periodontists to ensure high data quality. This dataset, with its rich multimodal structure and expert validation, provides a foundational resource to accelerate AI-driven diagnostic model development and large-scale clinical research in periodontics, advancing periodontal disease diagnosis, prognosis, and epidemiology.

Indexed as

Alveolar Bone LossPeriodontal DiseasesRadiography, PanoramicHumans

Identifiers

PMID41392034
PMCPMC12830377

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.