RESUMEN
Urachal epithelial neoplasms are rare tumors that arise from the vestiges of the urachus. Mucinous cystadenomas are considered as a benign glandular tumors of the urachus. Cystadenomas are commonly found in the ovary, appendix, and pancreas. Mucinous cystadenomas of the urachus are extremely rare in the urachus, and only nine cases reported so far. We reported the 10th case of Mucinous cystadenomas of the urachus detected incidentally at the time of diagnostic laparoscopy for investigation of genitourinary tuberculosis.
RESUMEN
Many studies have shown that the finger length ratios might be characteristic for sexual dimorphism. The aim of the study was to determine sexual dimorphism in finger length ratios among the representatives of the Indo-Mauritian population. The study group comprised of 200 healthy Indo-Mauritian people (100 male and 100 female) of the age ranged from 19 to 25 years. The lengths of second (2D), third (3D), forth (4D) and fifth (5D) finger of both hands were measured by using a vernier caliper. Our results indicate that all finger length ratios have significant sex differences (p-value < 0.05) except 2D:5D and 3D:5D. To conclude, 2D:4D ratio is the most decisive ratio (predictive accuracy = 0.61) which can demarcate between male and female.
Asunto(s)
Dedos/anatomía & histología , Determinación del Sexo por el Esqueleto/métodos , Adulto , Femenino , Antropología Forense , Humanos , Masculino , Mauricio , Grupos Raciales , Adulto JovenRESUMEN
Gender determination is an important aspect of personal identification, which is often required in medicolegal practice. Many experts believe that there are finer and more epidermal ridges on the fingers of women as compared with men. However, it is important to establish numerical cut-off values in terms of ridge counts to facilitate the gender determination within a particular population. The present study was conducted in the Department of Forensic Medicine, SSR Medical College, Mauritius with the objective to describe the ridge density in the Indo-Mauritian population and to devise a numerical model which is capable of identifying the sex of an individual from this population on the basis of the ridge counts obtained from the corresponding finger prints. The study was focused on 200 healthy medical students (100 men and 100 women) within the age range of 20-30 years. Multivariate analysis of variance results shows a significant gender difference in the sense that women tend to have higher ridge density then men in the distal region of all 10 digits (F = 41.83, P ≤ 0.005). The maximum mean ridge density over all fingers in men (12.26â¼12) is less than the minimum mean ridge density over all fingers in women (12.71â¼13). A linear discriminant function is derived from numerical modelling, which is used to predict (with a high reliability index, 0.92) the sex of the person whose fingerprints are obtained.
Asunto(s)
Dermatoglifia , Caracteres Sexuales , Adulto , Análisis Discriminante , Femenino , Humanos , Masculino , Mauricio , Análisis Multivariante , Adulto JovenRESUMEN
Identification is the foremost issue in crime investigation. A few studies have been performed so far in order to identify sex on the basis of single foot or hand of the victim. Moreover, these studies provide only crude measures to indicate sex and there exists no concrete methodology to predict sex using the available information. In the present paper, we have developed statistical models to identify sex based on the dimensions of foot and hand. The models containing both length and breadth of hand or foot as independent variables are capable of predicting sex in Indo-Mauritian population with fairly high accuracy as compared to those containing hand or foot indices.
Asunto(s)
Pie/anatomía & histología , Mano/anatomía & histología , Determinación del Sexo por el Esqueleto/métodos , Adolescente , Adulto , Femenino , Antropología Forense , Humanos , Funciones de Verosimilitud , Modelos Logísticos , Masculino , Mauricio , Adulto JovenRESUMEN
Determination of stature from fragmented human remains is vital part of forensic investigation for the purpose of identification. The present study was aimed to modelling the stature both for male and female separately on the basis of craniofacial dimensions. The study was conducted on 150 young and healthy students (75 males and 75 females) in the age group ranging from 20 to 28 years. The stature and fourteen cephalo-facial dimensions were measured on each subject by using standard anthropometric instruments. It is remarked that the stature and craniofacial measurements of males were significantly higher than that of females, except for nasal height where no significant difference was observed (p > 0.05). The correlation coefficients (r) of all cephalo-facial dimensions were less than 0.5. It means the estimation of stature is not reliable with the help of cephalo-facial dimensions.
Asunto(s)
Estatura/fisiología , Cráneo/anatomía & histología , Adulto , Cefalometría , Femenino , Antropología Forense , Humanos , Masculino , Mauricio , Análisis de Regresión , Caracteres Sexuales , Adulto JovenRESUMEN
Stature estimation from percutaneous body measurements forms part of forensic anthropological analysis for the purpose of identification. This study is aimed at modeling the stature on the basis of percutaneous tibial and/or ulnar length in human subjects comprising of Indo-Mauritian population. The study was conducted in the Department of Forensic Medicine and Toxicology, SSR Medical College, Mauritius on 180 young and healthy students comprising of 90 males and 90 females in the age group ranging from 18 to 28 years. The measurements were taken by using standard anthropometric instruments. It is remarked that tibial as well as ulnar length show a linear relationship with the stature, where stature is normally distributed. However, it is required to transform the measurements on stature to obtain appropriate regression equations. Moreover, since ulna and tibia are significantly correlated, it is recommended to use the sum of the ulnar and tibial length to estimate stature, in case both are available for an individual. Our regression models are sufficiently validated and highly efficient.
Asunto(s)
Estatura , Antropología Forense/métodos , Tibia/anatomía & histología , Cúbito/anatomía & histología , Adulto , Pesos y Medidas Corporales/clasificación , Femenino , Humanos , Masculino , Mauricio , Modelos Estadísticos , Valores de Referencia , Análisis de Regresión , Adulto JovenRESUMEN
In this study, an attempt was made to find out possible correlations between hand dimensions and stature using linear and curvilinear regression models for both genders. The study was conducted amongst 250 medical students (125 male and 125 female) aged 18-30 years. Each student has been studied for measurements of stature, hand length and hand breadth. To explain stature, all the explanatory variables like age, sex, hand length (right and left) and hand breadth (right and left) were included for model generation using SPSS. A general linear regression model was found to be best explanatory in both males and females, however, amongst the curvilinear models; the exponential model emerged as the 'best' in explaining stature of the individual. Left hand length alone explained very significantly (P<0.001).
Asunto(s)
Antropometría/métodos , Estatura , Ciencias Forenses/métodos , Mano/anatomía & histología , Adolescente , Distribución por Edad , Factores de Edad , Composición Corporal , Femenino , Lateralidad Funcional , Humanos , Modelos Lineales , Masculino , Mauricio/etnología , Probabilidad , Factores Sexuales , Adulto JovenRESUMEN
The aim of this study was to develop a relationship between foot length and stature using linear and curvilinear regression models. Measurements of foot length and stature were taken from 250 medical students (125 males and 125 females) aged 18-30 years. General multiple linear regression model was highly significant (P<0.001) and validated with highest values for the coefficients of determination R(2)=0.769 and multiple correlation coefficient r=0.877. Right foot length, sex and age explained for about 77% variations in stature.