| Title: |
Feasibility of multisource CBCT for improving the predictability of dental implant primary stability compared to conventional CBCT |
| Authors: |
Wei Luo; Yuanming Hu; Amanda Finger Stadler; Antonio J. Moretti; Donald A. Tyndall; Christina R. Inscoe; Yueh Z. Lee; Jianping Lu; Otto Zhou |
| Source: |
Scientific Reports, Vol 16, Iss 1 (2026) |
| Publisher Information: |
Nature Portfolio, 2026. |
| Publication Year: |
2026 |
| Collection: |
LCC:Medicine; LCC:Science |
| Subject Terms: |
Medicine; Science |
| Description: |
Abstract Cone beam computed tomography (CBCT) is the current 3D imaging modality of choice in dentistry and is widely used for presurgical implant planning. Implant sites can potentially be evaluated based on their CBCT-derived Hounsfield Units (HU) values, from which clinical decisions, including suitability for implant placement and surgical approach can be made. The current CBCT, however, is inaccurate and unreliable for quantifying the HU, and attempts to correlate CBCT-derived HU with implant primary stability have produced mixed results. This study demonstrated that the novel multisource CBCT (ms-CBCT) enabled by the distributed carbon nanotube (CNT) x-ray source array technology provides a stronger correlation between the cortical bone density of porcine femur approximated by the HU values and the implant primary stability measured by the implant insertion torque, when compared to the conventional single-source CBCT. Twelve planned dental implant sites were imaged with both ms-CBCT and conventional CBCT. The averaged bone HU value was obtained around each site, and insertion torque was measured intraoperatively. Linear regression demonstrated a strong and statistically significant correlation between insertion torque and ms-CBCT-derived HU (R² = 0.86, p = 0.00014), while conventional CBCT showed a weaker but still significant correlation (R² = 0.55, p = 0.0056). These findings suggest that by mitigating x-ray photon scatter and cone beam artifacts, the ms-CBCT derived HU better reflects local bone quality relevant to implant stability, highlighting its potential to improve patient-specific implant planning and improve overall dental implant success. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2045-2322 |
| Relation: |
https://doaj.org/toc/2045-2322 |
| DOI: |
10.1038/s41598-026-39266-0 |
| Access URL: |
https://doaj.org/article/03cdc79aecf844e8bdab3d3bd77cdca2 |
| Accession Number: |
edsdoj.03cdc79aecf844e8bdab3d3bd77cdca2 |
| Database: |
Directory of Open Access Journals |