Sexual dimorphism in frontal sinus volume: A CBCT comparative study

Chatra, Laxmikanth; Fasla, EK; Shenoy, Prashanth; Veena, KM; Prabhu, Rachana V

doi:10.5958/0974-0848.2020.00047.0

Cited by 1 publication

(9 citation statements)

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“…Of the eight articles identified, three reported data from an Indian population, two from a Brazilian population, and one from Saudi Arabian, Romanian, and Egyptian populations. In all articles, the male-to-female sample ratio was 1:1, except for the study by Sangavi et al (2021), who did not report their sample composition [ 17 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ].…”

Section: Resultsmentioning

confidence: 99%

“…Of the eight articles identified, the majority of them assessed samples of more than 100 participants, except for Benghiac et al’s (2017) and Motawei et al’s (2016), who reported results of 30 and 53 participants, respectively. A total of 718 participants (359 males and 359 females) were retrieved from the included studies ( Table 1 ) [ 17 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ]. Since each article was analysed independently and there was heterogeneity between them, it was impossible to perform a meta-analysis.…”

Section: Resultsmentioning

confidence: 99%

“…Of the eight articles identified, three reported that measurements of the morphology of the frontal sinuses was a highly accurate method that correctly identified an individual’s gender [ 17 , 20 , 21 ], while the other five articles claimed that measuring specific volumetric and linear parameters of frontal sinuses can be utilised as a reliable method in the identification process [ 21 , 23 , 24 , 25 , 26 ].…”

Section: Resultsmentioning

confidence: 99%

“…Additionally, of the eight articles identified, two reported findings evaluating only volumetric measurements of the frontal sinuses [ 20 , 24 ], two reported findings calculating only linear measurements of the frontal sinuses [ 22 , 25 ], and four reported findings by combining both linear and volumetric measurements of the frontal sinuses (MS) [ 17 , 21 , 23 , 26 ].…”

Section: Resultsmentioning

confidence: 99%

“…Chatra et al (2020) and Rao et al (2022) [ 22 , 24 ] suggested a gender estimation equation that correctly identifies 64.1% and 63.1% of total cases, respectively.…”

Section: Resultsmentioning

confidence: 99%

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Contribution of Morphology of Frontal Sinuses (Linear and Volumetric Measurements) to Gender Identification Based on Cone Beam Computed Tomography Images (CBCT): A Systematic Review

Mitsea

Christoloukas

Rontogianni

et al. 2023

JPM

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Human identification is considered as an important step in the reconstruction of biological profiles, especially of unknown individuals. Frontal sinuses (FS) have been regarded as an ideal anatomical structure for individualisation because few pathological conditions can potentially alter their shape. Aim: The aim of this review was to evaluate scientific evidence published since January 2010 and determine whether the dimensions and volume of FS might be useful parameters for gender determination and human identification, based only on cone beam computed tomography images (CBCT). Methods: This review was performed in accordance with the PRISMA statement. Four databases were searched for articles published between January 2010 and June 2022. Results: A total of 195 records were initially identified, and 90 remained after a manual duplicate check. Eight articles were selected for a full review according to the inclusion and exclusion criteria after title and abstract screening. A total of 718 participants (359 males and 359 females) were identified from the included studies. Frontal sinus volume (FSV) was significantly higher in male individuals. Frontal sinus height (FSH) and volume were the superior discriminating parameters for forensic identification. Conclusions: This review demonstrates that assessment of FS based on CBCT images could be beneficial for gender identification in forensic science. According to the obtained studies, frontal sinus volume (FSV) and frontal sinus height (FSH) are significant greater in males than in females, providing an additional complementary method. Larger sample size and common measurement protocols are needed to verify their usefulness.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…Chatra et al (2020) and Rao et al (2022) [ 22 , 24 ] suggested a gender estimation equation that correctly identifies 64.1% and 63.1% of total cases, respectively.…”

Section: Resultsmentioning

confidence: 99%

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