Evidence map›Paper›PMID 41651967›Full record

ArticleScientific reports2026

Feasibility of multisource CBCT for improving the predictability of dental implant primary stability compared to conventional CBCT.

Wei Luo, Yuanming Hu, Amanda Finger Stadler, Antonio J Moretti, Donald A Tyndall, Christina R Inscoe, Yueh Z Lee, Jianping Lu, Otto Zhou

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. 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

9 authors.

Wei LuoDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Yuanming HuDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Amanda Finger StadlerDepartment of Periodontology, Endodontics and Dental Hygiene, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Antonio J MorettiDepartment of Periodontology, Endodontics and Dental Hygiene, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Donald A TyndallDepartment of Diagnostic Sciences, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Christina R InscoeDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Yueh Z LeeDepartment of Radiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Jianping LuDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Otto ZhouDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA. zhou@email.unc.edu.

Funding

National Institutes of Health (NIH) R56DE030962-01
6 · The paper itself

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.

Indexed as

Cone-Beam Computed TomographyDental ImplantsAnimalsBone DensityFeasibility StudiesFemurImaging, Three-DimensionalSwineTorqueDental Implants

Identifiers

PMID41651967
PMCPMC12946345

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