Accurate muscle geometry for musculoskeletal models is important to enable accurate subject-specific simulations. Commonly, linear scaling is used to obtain individualised muscle geometry. More advanced methods include non-linear scaling using segmented bone surfaces and manual or semi-automatic digitisation of muscle paths from medical images. In this study, a new scaling method combining non-linear scaling with reconstructions of bone surfaces using statistical shape modelling is presented. Statistical Shape Models (SSMs) of femur and tibia/fibula were used to reconstruct bone surfaces of nine subjects. Reference models were created by morphing manually digitised muscle paths to mean shapes of the SSMs using non-linear transformations and inter-subject variability was calculated. Subject-specific models of muscle attachment and via points were created from three reference models. The accuracy was evaluated by calculating the differences between the scaled and manually digitised models. The points defining the muscle paths showed large inter-subject variability at the thigh and shank - up to 26mm; this was found to limit the accuracy of all studied scaling methods. Errors for the subject-specific muscle point reconstructions of the thigh could be decreased by 9% to 20% by using the non-linear scaling compared to a typical linear scaling method. We conclude that the proposed non-linear scaling method is more accurate than linear scaling methods. Thus, when combined with the ability to reconstruct bone surfaces from incomplete or scattered geometry data using statistical shape models our proposed method is an alternative to linear scaling methods.

We present a three dimensional (3D) morphometric modelling study of the scapulae of Felidae, with a focus on the correlations between forelimb postures and extracted scapular shape variations. Our shape modelling results indicate that the scapular infraspinous fossa becomes larger and relatively broader along the craniocaudal axis in larger felids. We infer that this enlargement of the scapular fossa may be a size-related specialization for postural support of the shoulder joint.

Hepatitis B virus (HBV) genotype C and the basic core promoter (BCP) mutations were reported to be associated with the development of hepatocellular carcinoma (HCC). In this study the full sequences of HBV genomes were analyzed in order to find the other predictors of HCC development. We determined the full sequences of HBV genomes in 24 genotype C carriers who developed HCC (HCC group) at the beginning of follow-up and at the time of HCC diagnosis, and 20 patients who did not develop HCC (non-HCC group) served as a control. The number of nucleotide and amino acid substitutions in most regions was higher in the HCC group than in the non-HCC group, and the following substitutions and deletions were found more frequently in the HCC group than in the non-HCC group: G1317A and T1341C/A/G in the X promoter region were detected in 13 and six of the HCC cases, four and none of the non-HCC cases, respectively; and pre-S2 deletion was detected in eight HCC and none of the non-HCC cases. Compared with the wild type X promoter, the mutant type X promoters, M1 (G1317A), M2 (T1341C), and M4 (T1341G) showed increases in activity of 2. (1) Infection with HBV leads to a wide spectrum of clinical presentations ranging from an ASC state to chronic hepatitis with progression to HCC in some patients. HCC is one of the major malignant diseases in the world, ranking as the fifth most common cancer, and it is believed that chronic HBV infection is a major global cause of HCC.(2) HBV consists of four ORFs: the X, precore/core, pre-S/S, and Pol regions. Among these, the X and pre-S/S regions have been reported to function as transcriptional transactivators. (3)(4)(5) The domain between nt 221 and 573 in the pre-S/S region was termed the transactivator region, and its 3′-deleted form was shown to exert a transcriptional transactivator function. (6) Although substitutions and deletions in the pre-S1/pre-S2/S region were reported in relation to the development of liver disease, (7,8) it remains unclear whether differences in the full length sequence of HBV exist at different stages of infection, particularly between patients who develop HCC and those who do not. Kajiya et al. analyzed the full sequence of serial serum samples obtained from a patient who underwent long-term follow-up from the time prior to development of symptoms to the chronic active hepatitis stage, and suggested that pre-S1 deletions and substitutions in the CP region may participate cooperatively in the progression of the disease.(9) Takahashi et al. studied the full length nucleotide sequence of HBV genome in sera from 40 Japanese patients with HBsAg positive HCC, and reported frequent deletions and missense mutations in the preS2 region. (10) In the present study, the full length sequence of the HBV genome were analyzed in the sera of patients who did not have HCC at the beginning of follow-up and developed HCC thereafter, and in those of patients who did not develop HCC during followup served as the control group, in order to find the predicators of HCC development. ...

IntroductionThe meniscus has an important role in force transmission across the knee, but a detailed three-dimensional (3D) morphometric shape analysis of the lateral meniscus to elucidate subject-specific function has not been conducted. The aim of this study was to perform 3D morphometric analyses of the lateral meniscus in order to correlate shape variables with anthropometric parameters, thereby gaining a better understanding of the relationship between lateral meniscus shape and its load-bearing function.MethodsThe lateral meniscus (LM) was manually segmented from magnetic resonance images randomly selected from the Osteoarthritis Initiative (OAI) non-exposed control subcohort. A 3D statistical shape model (SSM) was constructed to extract the principal morphological variations (PMV) of the lateral meniscus for 50 subjects (25 male and 25 female). Correlations between the principal morphological variations and anthropometric parameters were tested. Anthropometric parameters that were selected included height, weight, body mass index (BMI), femoral condyle width and axial rotation.ResultsThe first principal morphological variation (PMV) was found to correlate with height (r = 0.569), weight (r = 0.647), BMI (r = 0.376), and femoral condyle width (r = 0.622). The third PMV was found to correlate with height (r = 0.406), weight (r = 0.312), and femoral condyle width (r = 0.331). The percentage of the tibial plateau covered by the lateral meniscus decreases as anthropometric parameters relating to size of the subject increase. Furthermore, when the size of the subject increases, the posterior and anterior horns become proportionally longer and wider.ConclusionThe correlations discovered suggest that variations in meniscal shape can be at least partially explained by the levels of loads transmitted across the knee on a regular basis. Additionally, as the size of the subject increases and body weight rises, the coverage percentage of the meniscus is reduced, suggesting that there would be an increase in the load-bearing by the cartilage. However, this reduced coverage percentage is compensated by the proportionally wider and longer meniscal horn.

No abstract