Cone Beam Computed Tomographic Evaluation of Schneiderian Membrane Thickness
Journal of Craniofacial Surgery, ISSN: 1536-3732, Vol: 35, Issue: 1, Page: E36-E38
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
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Article Description
Objective: This study aimed to determine the measurements and classification of Schneider membrane thickness correlated to age and sex factors using cone beam computed tomography (CBCT). Methods: The study included CBCT images for 100 maxillary sinuses of 50 consecutive patients, and the thickness of the maxillary sinus membrane (Schneiderian membrane) was measured in coronal view from the lowest point in the floor of the maxillary sinus to the highest point. The thickness of the Schneiderian membrane was classified into 4 types. Results: The study result revealed that out of the total cases, 45% of sinus membranes were classified as type 2, while only 10% were classified as type 4. The most frequent type of membrane thickness diagnosed in the age group 20 to 30 as type 1, whereas in age groups 31 to 40 and 41 to 50, regarding sex, type 4 was more obvious in males with membrane thickening >6 mm. Conclusions: Measurement and classification of sinus membrane thickness can be performed accurately with CBCT, and it is affected by age and sex factors.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85181511849&origin=inward; http://dx.doi.org/10.1097/scs.0000000000009767; http://www.ncbi.nlm.nih.gov/pubmed/37815390; https://journals.lww.com/10.1097/SCS.0000000000009767; https://dx.doi.org/10.1097/scs.0000000000009767; https://journals.lww.com/jcraniofacialsurgery/abstract/9900/cone_beam_computed_tomographic_evaluation_of.1122.aspx
Ovid Technologies (Wolters Kluwer Health)
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