Evidence map›Paper›PMID 42282339›Full record

ArticleBioinformation2026

Radiographic assessment of frontal sinus morphology for gender determination using paranasal sinus view.

Abhay Deep Singh, Priyadershini A Rangari, Souryakant Varandani, Subash Chandra Nayak, Neelam Singh, Manju J

Abstract read
In one paragraph

Article in Bioinformation, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Abhay Deep SinghDepartment of ENT, Shri Ram Murti Smarak Institute of Medical Sciences, Bareilly, Uttar Pradesh, India.
Priyadershini A RangariDepartment of Dentistry, Nandkumar Singh Chouhan Government Medical College, Khandwa, Madhya Pradesh, India.
Souryakant VarandaniDepartment of Pharmacology, Nandkumar Singh Chouhan Government Medical College, Khandwa, Madhya Pradesh, India.
Subash Chandra NayakDepartment of Orthodontics and Dentofacial Orthopaedics, Hi-Tech Dental College and Hospital, Bhubaneswar, Odisha, India.
Neelam SinghDepartment of Dentistry, Shri Krishna Medical College Hospital, Muzaffarpur, Bihar, India.
Manju JDepartment of Oral Medicine and Radiology, Thai Moogambigai Dental College and Hospital, Dr. MGR Educational and Research Institute, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frontal sinus morphometry shows forensic promise for gender determination, yet paranasal sinus radiographs remain underexplored compared to CT-based assessments despite their accessibility. Therefore, it is of interest to evaluate frontal sinus dimensions (area, width, height) in 300 healthy adults (>20 years) using standardized paranasal sinus views with digital measurement techniques. Right frontal sinus height emerged as the most reliable predictor, achieving 69% accuracy for gender discrimination across all measured parameters. Paranasal radiographs demonstrated clinically viable predictive performance, particularly for height-based analysis compared with area- or width-based metrics. Thus, we document paranasal sinus views as a practical, cost-effective forensic tool for gender estimation when advanced imaging is unavailable.

Indexed as

Frontal sinusgender identificationparanasal sinusPNS views

Identifiers

PMID42282339
PMCPMC13252255

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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.