Image Processing Technique for Age Estimation in Thai Adults by Histomorphometry of Decalcified Cortical Bone.
Objective: Age estimation is an important step for biological identification. Histomorphometric age estimation in humans is based on observation of microstructural changes in the cortical bone. Several studies have used undecalcified bone sections for histomorphometric age estimation. In Thailand, m...
| Publicado en: | International Medical Journal Vol. 26; no. 3; pp. 209 - 213 |
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| Autores principales: | , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Japan International Cultural Exchange Foundation
Jun2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137024280&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137024280 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13412051 23J1 jtl: International Medical Journal issn: 13412051 maglogo: N pubinfo: dt: Jun2019 vid: 26 iid: 3 pid: 29386 pub: Japan International Cultural Exchange Foundation artinfo: ui: 137024280 137024280 137024280 137024280 ppf: 209 ppct: 4 formats: fmt: @attributes: type: P tig: atl: Image Processing Technique for Age Estimation in Thai Adults by Histomorphometry of Decalcified Cortical Bone. aug: au: Chompoophuenl, Hathaichanok Mahakkanukrauh, Pasuk Settakorn, Jongkolnee Mekjaidee, Karnda Prasitwattanaseree, Sukon Thumthong, Wichan affil: Forensic Osteology Research Center, Faculty of Medicine and Graduate School, Chiang Mai University 50200, Thailand sug: subj: Image Processing, Computer Assisted Age Determination by Skeleton In Adulthood Staining and Labeling Cortical Bone Pathology Femur Pathology Human Thailand Cadaver Male Female Age Factors Sex Factors Death Etiology Collagen Multiple Regression Correlation Coefficient Adult Adult: 19-44 years Male Female ab: Objective: Age estimation is an important step for biological identification. Histomorphometric age estimation in humans is based on observation of microstructural changes in the cortical bone. Several studies have used undecalcified bone sections for histomorphometric age estimation. In Thailand, most hospitals provide facilities and equipment for decalcified methods. Thus, the aim of this study is to develop an age prediction equation using decalcified bone sections stained by picrosirius red in the Thai population. Design: Age at death estimation was analyzed histomorphometrically from the cortical bones of femurs. Materials and Methods: Femoral cortical bone was collected from 71 cadavers (49 males and 22 females) with known age, sex and cause of death. Tissue sections were decalcified and stained with picrosirius red. Histological variables were measured with pixels using an image processing technique and MATLAB program. The histological area was measured in five variables. In addition, this study attempted to develop one new variable for quantifying the measurement of bone collagen. Results: Stepwise multiple regression was employed to develop a predictive model of age estimation. The stepwise selection method in this study utilized the following three histological variables for the equation: the perimeter of Haversian canal, the percentage of lamellar bone area and collagen in the bone stained by picrosirius red. The multiple correlation coefficient and standard error of estimate were 0.906 and 8.26, respectively. Conclusion: The decalcifying procedure and staining method that is routinely employed in histopathology laboratories with image processing technique can assist with age at death estimations in Thailand. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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