Evidence map›Paper›PMID 40918881›Full record

ArticleCureus2025

Assessing Diagnostic Accuracy in Cephalometry: A Comparative Study of Manual and Digital Tracing Techniques.

Aparajita Pandey, T P Chaturvedi, Adit Srivastava, Saumya Shukla, Savitha Priyadarsini S, Sakshee Nagvanshi, Aparna A V

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PubMed Full text at PMC Publisher
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Aparajita PandeyOrthodontics and Dentofacial Orthopaedics, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, IND.
T P ChaturvediOrthodontics and Dentofacial Orthopaedics, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, IND.
Adit SrivastavaOral Medicine and Radiology, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, IND.
Saumya ShuklaOral Medicine and Radiology, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, IND.
Savitha Priyadarsini SPublic Health Dentistry, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, IND.
Sakshee NagvanshiOrthodontics and Dentofacial Orthopaedics, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, IND.
Aparna A VOrthodontics and Dentofacial Orthopaedics, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to statistically evaluate and compare the accuracy, reliability, and efficiency of manual versus artificial intelligence (AI)-assisted digital cephalometric tracing using Steiner's and Down's analyses in orthodontic diagnostics. MATERIALS AND

methodsA retrospective study was conducted using 20 lateral cephalograms obtained using the NewTom GiANO HR cone-beam computed tomography (CBCT) system (Quantitative Radiology, Verona, Italy). Manual tracings were performed on acetate sheets, while digital analysis employed the AudaxCeph® software (Audax d.o.o., Ljubljana, Slovenia) with automated landmark detection. Measurements were analysed using independent sample t-tests and Mann-Whitney U tests, with significance set at p ≤ 0.05.

resultsStatistical analysis showed no significant differences (p > 0.05) between manual and digital cephalometric measurements across key parameters. Minor variations were within clinically acceptable limits, confirming that both methods are consistent and interchangeable for orthodontic diagnostics.

conclusionAI-assisted digital cephalometric tracing is as accurate and reliable as manual methods, offering enhanced efficiency and consistency. These findings support its integration into routine orthodontic diagnostics.

Indexed as

artificial intelligencecephalometrydigital analysismanual tracingstatistical analysis

Identifiers

PMID40918881
PMCPMC12412276

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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.