Improving the Treatment Outcome of Naso-Orbito-Ethmoido-Maxillary Fractures Using Virtual Three-Dimensional Anthropometric Data

Roșu, Andrei-Mihail; Sulea, Daniela; Bandol, Geanina; Cobzeanu, Bogdan Mihail; Gheorghe, Liliana; Severin, Florentina; Cobzeanu, Luiza-Maria; Negru, D.; Roșu, Oana Cristina; Palade, Dragoș Octavian; Costan, Victor Vlad; Cobzeanu, Mihail Dan

doi:10.3390/ijerph191610412

Cited by 2 publications

(1 citation statement)

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“…8. While distances between craniometric landmarks are studied in different papers [38], [39], the present study includes the analysis of additional features estimated as selected triangular facial areas. Results point to differences of these measures for males and females during the treatment.…”

Section: Discussionmentioning

confidence: 99%

Computational Intelligence in Metric Analysis of the Skull in the Context of Maxillofacial Surgery

et al. 2022

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Anthropometric studies focusing on facial metrics and their proportions form an important research area devoted to observations of the appearance of the human skull. Many different applications include the use of craniometry for maxillofacial reconstruction and surgery. This paper explores the possibility of using selected craniometric points and associated metric to observe spatial changes during the maxillofacial surgery treatment. The experimental dataset includes observations of 27 individuals. The proposed method is associated with the processing of measurements by selected methods of signal processing and computational intelligence. The statistical results point to changes of facial measures before and after the maxillofacial surgery. The proposed method conclusively demonstrates that the area of the mean upper law triangle after surgical treatment is decreased by 8.5%, at the 5% significance level of the two-sample t-test. The classification of selected measurements by a neural network model reached an accuracy of 84.9%.

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Section: Discussionmentioning

confidence: 99%

Computational Intelligence in Metric Analysis of the Skull in the Context of Maxillofacial Surgery

et al. 2022

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Comparison of Craniofacial Anthropometric Measurement Accuracy of Manual Technique vs. Cone-Beam CT Scanning

Misăiloaie,

Tărăboanță,

Stan

et al. 2024

Diagnostics

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Background: This study aimed to compare the accuracy of linear measurements obtained using the classical (manual) method versus cone-beam computed tomography (CBCT) in craniofacial anthropometry, specifically targeting the infraorbital foramen (IOF). Methods: This study involved two sample groups: one of 40 dry skulls measured manually using digital calipers, and the other of 40 CBCT 3D images digitally measured. Measurements included IOF height, distances between the IOF and nasion (N), IOF and frontomalar orbital (FMO), and between the two IOFs. Statistical analysis was performed using an ANOVA, t-test, and Fisher’s test with a significance level of 0.05. Results: The manual method recorded a mean IOF height of 2.1 mm, while CBCT showed a mean of 3.52 mm. Significant differences were recorded between the two methods when measuring IOF height, with a p < 0.001. However, CBCT measurements generally yielded higher accuracy and lower variance due to the absence of significant differences (p > 0.05). The distance between the two IOFs measured by both methods differed significantly (p = 0.03157), with CBCT measurements showing higher values. Conclusions: In conclusion, although no significant differences were found in the overall accuracy of the two methods, CBCT proved to be a more reliable tool for detailed craniofacial measurements due to its higher accuracy and reproducibility. CBCT demonstrated superior consistency in measurements, offering enhanced precision in assessing craniofacial structures. These findings support the growing preference for CBCT in maxillofacial surgery, where precision is critical for successful outcomes. Nonetheless, manual techniques remain valuable in settings where advanced imaging is not accessible.

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Improving the Treatment Outcome of Naso-Orbito-Ethmoido-Maxillary Fractures Using Virtual Three-Dimensional Anthropometric Data

Cited by 2 publications

References 31 publications

Computational Intelligence in Metric Analysis of the Skull in the Context of Maxillofacial Surgery

Computational Intelligence in Metric Analysis of the Skull in the Context of Maxillofacial Surgery

Comparison of Craniofacial Anthropometric Measurement Accuracy of Manual Technique vs. Cone-Beam CT Scanning

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