Muhammad Faiz Mohd Fauad , Ku Mastura Ku Mohd Noor , Aspalilah Alias , Ker Woon Choy , Wei Lin Ng , Eric Chung , Yuan Seng Wu , Noraina Hafizan Norman
{"title":"评估颈椎年龄变化:二维几何形态计量学方法","authors":"Muhammad Faiz Mohd Fauad , Ku Mastura Ku Mohd Noor , Aspalilah Alias , Ker Woon Choy , Wei Lin Ng , Eric Chung , Yuan Seng Wu , Noraina Hafizan Norman","doi":"10.1016/j.tria.2023.100269","DOIUrl":null,"url":null,"abstract":"<div><p>Age estimation in adults is a complicated task because of various external factors occur concurrently with increasing age. The geometric morphometric method (GMM) is an approach that focuses on shape analysis and is widely recognized for its high reliability and reproducibility. The aim of this study was to explore the variation of cervical vertebrae among different age groups of the Malaysian population by GMM. Lateral skull radiographs of 432 subjects comprising four adult age groups; young adult age group (20–30 years old), early middle age group (31–40 years old), late middle age group (41–50 years old) and, elder adult age group (51–60 years old) were selected. Fifty-three 2-dimensional (2D) landmarks were applied to the digitalized radiographs by TPSDig2 (Version 2.31) software. Geometric morphometric analysis was performed by MorphoJ software. Results showed that the first three principal components (PC) contributed to 47.71 % of the cervical vertebrae variation and were shown in both lollipop and wireframe graphs. Procrustes ANOVA indicated that the shape was significantly different among different age groups. Canonical variate analysis revealed significant differences of both mahalanobis and procrustes distances among age groups with substantial individual overlap within groups. Discriminant function analysis (DFA) showed a correct classification rate for 61.5 % of cases respective to age groups. In conclusion, this study found significant differences in the shape of cervical vertebrae among different age groups of the Malaysian population using the GMM.</p></div>","PeriodicalId":37913,"journal":{"name":"Translational Research in Anatomy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214854X23000389/pdfft?md5=8b27f9071c81d9737b9b0af294982381&pid=1-s2.0-S2214854X23000389-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Evaluation of age variation changes in cervical vertebrae: 2-Dimensional (2D) geometric morphometrics approach\",\"authors\":\"Muhammad Faiz Mohd Fauad , Ku Mastura Ku Mohd Noor , Aspalilah Alias , Ker Woon Choy , Wei Lin Ng , Eric Chung , Yuan Seng Wu , Noraina Hafizan Norman\",\"doi\":\"10.1016/j.tria.2023.100269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Age estimation in adults is a complicated task because of various external factors occur concurrently with increasing age. The geometric morphometric method (GMM) is an approach that focuses on shape analysis and is widely recognized for its high reliability and reproducibility. The aim of this study was to explore the variation of cervical vertebrae among different age groups of the Malaysian population by GMM. Lateral skull radiographs of 432 subjects comprising four adult age groups; young adult age group (20–30 years old), early middle age group (31–40 years old), late middle age group (41–50 years old) and, elder adult age group (51–60 years old) were selected. Fifty-three 2-dimensional (2D) landmarks were applied to the digitalized radiographs by TPSDig2 (Version 2.31) software. Geometric morphometric analysis was performed by MorphoJ software. Results showed that the first three principal components (PC) contributed to 47.71 % of the cervical vertebrae variation and were shown in both lollipop and wireframe graphs. Procrustes ANOVA indicated that the shape was significantly different among different age groups. Canonical variate analysis revealed significant differences of both mahalanobis and procrustes distances among age groups with substantial individual overlap within groups. Discriminant function analysis (DFA) showed a correct classification rate for 61.5 % of cases respective to age groups. In conclusion, this study found significant differences in the shape of cervical vertebrae among different age groups of the Malaysian population using the GMM.</p></div>\",\"PeriodicalId\":37913,\"journal\":{\"name\":\"Translational Research in Anatomy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2214854X23000389/pdfft?md5=8b27f9071c81d9737b9b0af294982381&pid=1-s2.0-S2214854X23000389-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Translational Research in Anatomy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214854X23000389\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational Research in Anatomy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214854X23000389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
Evaluation of age variation changes in cervical vertebrae: 2-Dimensional (2D) geometric morphometrics approach
Age estimation in adults is a complicated task because of various external factors occur concurrently with increasing age. The geometric morphometric method (GMM) is an approach that focuses on shape analysis and is widely recognized for its high reliability and reproducibility. The aim of this study was to explore the variation of cervical vertebrae among different age groups of the Malaysian population by GMM. Lateral skull radiographs of 432 subjects comprising four adult age groups; young adult age group (20–30 years old), early middle age group (31–40 years old), late middle age group (41–50 years old) and, elder adult age group (51–60 years old) were selected. Fifty-three 2-dimensional (2D) landmarks were applied to the digitalized radiographs by TPSDig2 (Version 2.31) software. Geometric morphometric analysis was performed by MorphoJ software. Results showed that the first three principal components (PC) contributed to 47.71 % of the cervical vertebrae variation and were shown in both lollipop and wireframe graphs. Procrustes ANOVA indicated that the shape was significantly different among different age groups. Canonical variate analysis revealed significant differences of both mahalanobis and procrustes distances among age groups with substantial individual overlap within groups. Discriminant function analysis (DFA) showed a correct classification rate for 61.5 % of cases respective to age groups. In conclusion, this study found significant differences in the shape of cervical vertebrae among different age groups of the Malaysian population using the GMM.
期刊介绍:
Translational Research in Anatomy is an international peer-reviewed and open access journal that publishes high-quality original papers. Focusing on translational research, the journal aims to disseminate the knowledge that is gained in the basic science of anatomy and to apply it to the diagnosis and treatment of human pathology in order to improve individual patient well-being. Topics published in Translational Research in Anatomy include anatomy in all of its aspects, especially those that have application to other scientific disciplines including the health sciences: • gross anatomy • neuroanatomy • histology • immunohistochemistry • comparative anatomy • embryology • molecular biology • microscopic anatomy • forensics • imaging/radiology • medical education Priority will be given to studies that clearly articulate their relevance to the broader aspects of anatomy and how they can impact patient care.Strengthening the ties between morphological research and medicine will foster collaboration between anatomists and physicians. Therefore, Translational Research in Anatomy will serve as a platform for communication and understanding between the disciplines of anatomy and medicine and will aid in the dissemination of anatomical research. The journal accepts the following article types: 1. Review articles 2. Original research papers 3. New state-of-the-art methods of research in the field of anatomy including imaging, dissection methods, medical devices and quantitation 4. Education papers (teaching technologies/methods in medical education in anatomy) 5. Commentaries 6. Letters to the Editor 7. Selected conference papers 8. Case Reports