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A Deep Learning Model for Assessing Second Molar Root Resorption to Guide Impacted Wisdom Tooth Extraction Decisions:A Multicenter Study

A Deep Learning Model for Assessing Second Molar Root Resorption to Guide Impacted Wisdom Tooth Extraction Decisions:A Multicenter Study

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500100382
Enrollment
Unknown
Registered
2025-04-08
Start date
2020-08-01
Completion date
Unknown
Last updated
2025-04-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Abnormal development of facial, oral or dental structures

Interventions

Cases group:None

Sponsors

Guangzhou Medical University Stomatological Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 60 Years

Inclusion criteria

Inclusion criteria: 1. Subjects >= 18 years old and < 60 years old 2. M2 root formation 2/3 3. M2 no apical inflammation 4. Non-caries root absorption 5. M3 complete bone ambush 6. Overall health, no underlying diseases

Exclusion criteria

Exclusion criteria: 1.Subjects = 60 years of age 2. M2 root formation is less than 2/3 3. M2 has external root absorption caused by apical inflammation 4. M3 does not have complete bone ambush 5. Periodontal disease, caries subjects 6. Have an underlying illness 7. During orthodontic treatment 8. Pregnant women

Design outcomes

Primary

MeasureTime frame
The degree of root absorption;

Secondary

MeasureTime frame
related clinical symptoms of absorbing teeth;

Countries

China

Contacts

Public ContactKexiong Ou Yang

Guangzhou Medical University Stomatological Hospital

ouyangkexiong@163.com+86 136 3227 2822

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026