Evidence map›Paper›PMID 41940904›Full record

ArticleClinical oral investigations2026

Assessing the diagnostic performance of MediXpar texture analysis for C-shaped canal morphology on panoramic radiographs: a pilot study.

Sultan Uzun, Samed Satir, Turgut Felek, Guldane Magat

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Article in Clinical oral investigations, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sultan UzunDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Bilecik Seyh Edebali University, Pelitozu Mah. Fatih Sultan Mehmet Bulvarı No:27, Merkez/BİLECİK, 11100, Türkiye. dtsultanuzun@gmail.com.ORCID http://orcid.org/0000-0003-3743-055X
Samed SatirDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Karamanoglu Mehmetbey University, Karaman, Türkiye.ORCID http://orcid.org/0000-0002-5863-5928
Turgut FelekDepartment of Information Technologies, Faculty of Dentistry, Akdeniz University, Antalya, Türkiye.ORCID http://orcid.org/0000-0003-4466-6456
Guldane MagatDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Necmettin Erbakan University, Konya, Türkiye.ORCID http://orcid.org/0000-0003-4418-174X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study evaluated whether panoramic radiographs could help identify C-shaped canal configurations in mandibular first premolars and offer preliminary diagnostic indicators using the MediXpar bioinformatic platform by examining pixel density and grayscale depth, in a way that approaches the diagnostic value of cone-beam computed tomography (CBCT) while minimizing radiation exposure.

methodsPanoramic radiographs were retrospectively analyzed with the MediXpar system, a pixel-based quantitative image analysis platform that extracts grayscale density and texture-related parameters from digital radiographs. Three quantitative measures—Xpar, Power Xpar, and Pixel Count—were recorded under zoomed and non-zoomed conditions at two-pixel resolutions (1023 × 496 and 1023 × 593). Logistic regression and receiver operating characteristic (ROC) analyses were used to assess the diagnostic performance of each parameter in identifying C-shaped canals C-shaped canals, with statistical significance set at p < 0.05.

resultsTeeth with C-shaped canals showed a significantly larger dentin–pulp complex volume (p = 0.001), whereas pulp length did not differ (p = 0.653). Digital zoom produced higher pixel-based values (p ≤ 0.01), reflecting resampling effects rather than added anatomy. Among all metrics, Power Xpar demonstrated the strongest diagnostic performance (AUC = 0.917 in zoomed and 0.950 in non-zoomed images), showing consistent discrimination across resolutions.

conclusionsDigital magnification alters the appearance of panoramic images but does not improve diagnostic accuracy. Power Xpar performed best at higher native resolution and remained highly discriminative despite on-screen zoom, indicating that its usefulness depends on true image resolution rather than digital enlargement. CLINICAL RELEVANCE: Although zooming enhances visual comfort, it may distort quantitative interpretation. MediXpar-based analysis, especially using Power Xpar—offers a practical and reproducible option when CBCT is unavailable.

Indexed as

BicuspidDental Pulp CavityRadiography, PanoramicCone-Beam Computed TomographyHumansPilot ProjectsRadiography, Dental, DigitalRetrospective StudiesC-shaped canalDigital magnificationImage interpolationMediXpar analysisQuantitative texture analysis

Identifiers

PMID41940904
PMCPMC13053532

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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.