Evidence map›Paper›PMID 42879577›Full record

ArticleDental press journal of orthodontics2026

Comparative evaluation of single camera photogrammetry and LIDAR-based facial scanning.

Aditi Singh, Payal Sharma, Piush Kumar

Abstract readComparative Study
In one paragraph

Article in Dental press journal of orthodontics, 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

3 authors.

Aditi SinghITS-CDSR, Department of Orthodontics and Dentofacial Orthopaedics (Ghaziabad, Uttar Pradesh, India).ORCID http://orcid.org/0009-0001-9164-528X
Payal SharmaITS-CDSR, Department of Orthodontics and Dentofacial Orthopaedics (Ghaziabad, Uttar Pradesh, India).ORCID http://orcid.org/0000-0002-0062-3940
Piush KumarITS-CDSR, Department of Orthodontics and Dentofacial Orthopaedics (Ghaziabad, Uttar Pradesh, India).ORCID http://orcid.org/0000-0002-9667-5672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOrthodontic diagnosis and treatment planning relies on precise diagnostic records, including facial imaging. While two-dimensional (2D) photography is widely used, it cannot fully represent three-dimensional (3D) facial structures. Recent advances in 3D imaging, including LiDAR-based scanning and single-camera photogrammetry (SCP), offer improved accuracy.

objectivesThis study evaluates these cost-effective 3D scanning methods in facial soft tissue assessment, by comparing measurements from SCP and LiDAR-based mobile apps, with manual method measurements as gold standard.

methodsThirty-six patients (21 females, 15 males) aged 15-25 years requiring orthodontic treatment participated. Scanning was conducted using SCP and LiDAR technology, while manual measurements used digital calipers. Statistical analysis evaluated accuracy, precision, and reliability.

resultsBoth SCP and LiDAR-based scanning techniques show clinically acceptable accuracy in facial soft tissue analysis. LiDAR-based scanning demonstrates better depth perception than SCP, though both methods are viable alternatives to conventional imaging.

conclusionThe study highlights smartphone-based 3D facial scanning as viable alternatives to traditional imaging in Orthodontics. While SCP and LiDAR scanning show comparable accuracy, further research is needed. The findings support implementing affordable 3D scanning technologies in orthodontic diagnostic protocols.

Indexed as

FaceImaging, Three-DimensionalPhotogrammetryAdolescentAdultFemaleHumansMaleMobile ApplicationsReproducibility of ResultsSmartphoneYoung Adult

Identifiers

PMID42879577
PMCPMC13660669

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.