Development and validation of risk prediction algorithms based on cone beam computed tomography and intraoral scanning fusion data to estimate whether biological width is at a low value: a cross-sectional study
Ying Yuan, Shuo Yang, Xu Wang, Lisha Di, Wulin He · 2026
Read Development and validation of risk prediction algorithms based on cone beam computed tomography and intraoral scanning fusion data to estimate whether biological width is at a low value: a cross-sectional study by Ying Yuan, Shuo Yang, Xu Wang, Lisha Di, Wulin He (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13504981.txt.
Description
Ying Yuan and others develop risk prediction algorithms for low biological width using fused dental imaging. In 2026, the one-time study studies 4,420 sites from 740 teeth in fifty-five adults with good oral hygiene, joining cone beam computed tomography, intraoral scanning, and gum probing. Biological width protects the gum ligament and air sac bone, and reduced width invites troubles.
Predictors included tooth kind, tooth place, gum edge to cementum-enamel junction distance, junction to ridge crest distance, and gingival thickness, with low width defined below 1.13 mm. The raw model discriminated well with area under the curve 0.867, while external testing reached 0.68. A visual nomogram lets doctors estimate site-level risk and detect threatened gum tissue.
Catalog record
| CREATOR | Ying Yuan, Shuo Yang, Xu Wang, Lisha Di, Wulin He |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 49 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |