METHODS: A total of 15 femora were examined with four parameters i.e. maximum length of femur (FeMl), diameter of femoral head (FeHd), transverse diameter of midshaft (FeMd) and condylar breadth (FeCb). Osteometric board and vernier calipers were employed for the conventional method, while CT reconstructed images and Osirix MD software was utilised for the virtual method.

RESULTS: Results exhibited that there were no significant differences in the measurements by conventional and virtual methods. There were also no significant differences in the measurements by the intra or inter-observer error analyses. The intraclass correlation coefficients (ICC) were more than 0.95 by both intra and inter-observer error analyses. Technical error of measurement had displayed values within the acceptable ranges (rTEM <0.08 for intra-observer, <2.25 for inter-observer), and coefficient of reliability (R) indicated small measurement errors (R > 0.95 for intra-observer, R > 0.92 for inter-observer). By parameters, FeMl showed the highest R value (0.99) with the least error in different methods and observers (rTEM = 0.02-0.41%). Bland and Altman plots revealed points scattered close to zero indicating perfect agreement by both virtual and conventional methods. The mean differences for FeMl, FeHd, FeMd and FeCb measurements were 0.01 cm, -0.01 cm, 0.02 cm and 0.01 cm, respectively.

MATERIALS AND METHODS: 52 healthy volunteers were scanned in a 16-slice MDCT, and the volume of 104 sets of carpal bones was measured using a Syngo workstation (Both CT and workstation-Siemens Healthcare, Erlangen, Germany).

RESULTS: Male carpal bones were of higher volume compared to the female carpal bones (p<0.001). Area under the curve (AUC) assessment of responder-operator characteristics curves showed that the trapezium bone was best able to predict sex with an AUC of 0.986. At a trapezium bone volume of ⩾1.94cm(3), there was a 93.5% probability that the subject was male. Binary logistic regression analysis found that the highest accuracy was derived using the pisiform, trapezium and capitate bones. There was a strong relationship between sex prediction and grouping of the carpal bone volumes (Nagelkerke R(2)=0.923) with an overall prediction accuracy of 97%.

AIM: The aim of the present study was to determine sex of human mandible from morphology, morphometric measurements as well as discriminant function analysis from the CT scan.

MATERIALS AND METHODS: The present retrospective study comprised 79 subjects (48 males, 31 females), with age group between 18 and 74 years, and were obtained from the post mortem computed tomography data in the Hospital Kuala Lumpur. The parameters were divided into three morphologic and nine morphometric parameters, which were measured by using Osirix MD Software 3D Volume Rendering.

RESULTS: The Chi-square test showed that men were significantly association with square-shaped chin (92%), prominent muscle marking (85%) and everted gonial glare, whereas women had pointed chin (84%), less prominent muscle marking (90%) and inverted gonial glare (80%). All parameter measurements showed significantly greater values in males than in females by independent t-test (p< 0.01). By discriminant analysis, the classification accuracy was 78.5%, the sensitivity was 79.2% and the specificity was 77.4%. The discriminant function equation was formulated based on bigonial breath and condylar height, which were the best predictors.