2016
DOI: 10.1002/ajpa.23114
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Quantification of 3D curvature in the iliac crest: Ontogeny and implications for sex determination in juveniles

Abstract: An increased likelihood of correct male identification (reduced rate of false positive identification) was observed in older children (>5 years). This reflects divergence of male and female iliac crest shape with size (or age), and the development of a unique, more curved iliac crest shape in males. The results suggest more conspicuous male trait expression than female trait expression.

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Cited by 23 publications
(13 citation statements)
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“…The trajectory angles of needle direction for the new technique are consistent with those described by Hirahara et al [18]. The presence of sex-related differences in needle trajectory angle in both the traditional and new techniques was expected as studies have often reported sex-related differences in pelvic and iliac crest anatomy [25][26][27]. Despite the presence of statistically significant sex-related differences, it is likely that these differences are not clinically significant as the trajectory angles differed by a small amount (within 1°-2.5° in all measurements).…”
Section: Discussionsupporting
confidence: 78%
“…The trajectory angles of needle direction for the new technique are consistent with those described by Hirahara et al [18]. The presence of sex-related differences in needle trajectory angle in both the traditional and new techniques was expected as studies have often reported sex-related differences in pelvic and iliac crest anatomy [25][26][27]. Despite the presence of statistically significant sex-related differences, it is likely that these differences are not clinically significant as the trajectory angles differed by a small amount (within 1°-2.5° in all measurements).…”
Section: Discussionsupporting
confidence: 78%
“…These include approaches based on visual evaluation of features of the pelvis (e.g., Bruzek, ; Phenice, ; Schutkowski, ), and skull (e.g., Loth & Henneberg, ; Walker, ); and metric methods for bones (e.g., Holman & Bennett, ; Safont, Malgosa, & Subirà, ; Steele, ) and teeth (e.g., Black, ; Kondo, Townsend, & Yamada, ). Several approaches have leveraged technological and analytical advances, such as geometric morphometric analysis of three‐dimensional laser scan data (Garvin & Ruff, ; Wilson, Ives, & Humphrey, ) and the DNA‐based analyses mentioned above.…”
Section: Potential Solutionsmentioning
confidence: 99%
“…Wilson et al [6] had also evaluated the use of the auricular surface, but ultimately concluded in the 2011 article [7] that the auricular surface criterion should not be used, given poor success rates particularly among females. A third variable explored by Wilson [6–8,10] was iliac crest curvature and sinuosity. In the most recent article investigating crest curvature and sinuosity in 3D, correct classifications were recorded between 62.3% and 86.7% depending on the variable (with sinuosity demonstrating the highest classification); however, sinuosity accuracy dropped to 56.6–60.4% once cross‐validated [10].…”
Section: Introductionmentioning
confidence: 99%
“…A third variable explored by Wilson [6–8,10] was iliac crest curvature and sinuosity. In the most recent article investigating crest curvature and sinuosity in 3D, correct classifications were recorded between 62.3% and 86.7% depending on the variable (with sinuosity demonstrating the highest classification); however, sinuosity accuracy dropped to 56.6–60.4% once cross‐validated [10].…”
Section: Introductionmentioning
confidence: 99%