title: Microscopic age estimation from the anterior cortex of the femur in Korean adults.
abstract: The purpose of this study was to develop age-predicting equations from the anterior cortex of the femur of Korean adults. Seventy-two femoral samples (44 male and 28 female) were obtained from Korean cadavers and used to develop the equations. The thin sections (<100-microm thick) were prepared by manual grinding; the sections were not decalcified and were stained with Villanueva bone stain reagent. Analysis of covariance showed no significant differences in age-adjusted histomorphological variables between sexes. In stepwise regression analysis, osteon population density, average osteon area, and the most anterior cortical width were selected for an age-predicting equation which produced a high regression correlation (R(2) = 0.789). The average Haversian canal area was not significantly related to age for any specimen.
authors.affiliation: Department of Anatomy, Catholic Institute for Applied Anatomy, College of Medicine, The Catholic University of Korea, 505, Banpo-dong, Seocho-gu, Seoul 137701, Korea.
authors.forename: Seung-Ho
authors.initials: SH
authors.lastname: Han
authors.forename: Sang-Hyun
authors.initials: SH
authors.lastname: Kim
authors.forename: Yong-Woo
authors.initials: YW
authors.lastname: Ahn
authors.forename: Gi-Yeong
authors.initials: GY
authors.lastname: Huh
authors.forename: Dai-Soon
authors.initials: DS
authors.lastname: Kwak
authors.forename: Dae-Kyoon
authors.initials: DK
authors.lastname: Park
authors.forename: U-Young
authors.initials: UY
authors.lastname: Lee
authors.forename: Yi-Suk
authors.initials: YS
authors.lastname: Kim
mesh_terms: D000328:Adult; D000365:Age Determination by Skeleton / Q000379:methods*; D000368:Aged; D000369:Aged, 80 and over; D002452:Cell Count; D005260:Female; D005269:Femur / Q000166:cytology*; D018732:Forensic Anthropology / Q000379:methods; D006253:Haversian System / Q000166:cytology*; D006801:Humans; D007723:Korea; D008297:Male; D008853:Microscopy; D008875:Middle Aged; D012044:Regression Analysis; D013194:Staining and Labeling