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PubMedDate not supplied

The effect of femoral rotation on the projected femoral neck-shaft angle.

Femoral neck-shaft angle (NSA) was measured in a series of anteroposterior (AP) hip radiographs of a cadaveric femur in varying degrees of rotation. A mathematical model was developed to predict NSA on an AP radiograph in varying degrees of femoral rotation. The predictions of the model were found to correlate well with the experimental data (correlation coefficient = 0.94). Based on the mathematical model, a wide range of patient positioning was found to result in a <10 degrees error in the measurement of femoral NSA. Coxa vara, increased femoral anteversion, cerebral palsy, and developmental dislocation of the hip resulted in a more restricted range of acceptable femoral positioning. External rotation of the femur should be avoided during patient positioning because as little as 7 degrees can cause a > 10 degrees change in the apparent NSA. For all patient populations, internally rotating the femur will allow for determination of the femoral NSA to within 10 degrees .

Adult↗
PubMed1975

A model for steroid transport across biological membranes.

The absorption of a range of steroids (water soluble to lipid soluble) in the mouth was investigated under standard conditions and using gas chromatography. A two-compartment open model was used to describe the absorption of these steroids into, and through, the membrane. Rate constants were calculated on this basis using a feathering technique, and were used in an analogue computer program to predict steroid concentration which agree favourably with experimental data. Correlations between absorption and partition data were made in an attempt to relate the proposed model to anatomical features of the absorptive membrane and to make comparison with models proposed to describe drug absorption across the intestinal mucosa.

Absorption↗
PubMed1999

Scatter and attenuation measurements at distances greater than 10 cm from an 192Ir source.

Most algorithms developed by various investigators for use in brachytherapy treatment planning have typically been designed to calculate the dose within a 10 cm range of a radiation source. These algorithms predict the dose well at distances < 10 cm from the source but were not developed and should not be utilized to predict the dose at distances > 10 cm. On the contrary, treatment planning systems and manual calculations will produce erroneous results when dose points > 10 cm are calculated using these algorithms. The spread in the data generated by the above algorithms is 16% at 15 cm and 42% at 20 cm. Physical measurements were performed at distances between 5 and 50 cm from a high activity 192Ir source in water. The measured data correlated well with the predicted data from 5 to 10 cm, which had a 5% spread. Beyond 10 cm the measured data fell central to the range of the predicted data, with the spread of the predicted data increasing from 5% to 80% with increasing distance from the source. The measured data was fitted with a model incorporating a buildup factor and an attenuation factor. The best fit values are in reasonable agreement with those obtained by two of the investigators, Thomason and Tripathi.

Algorithms↗
PubMed1992

Effect of improved assay sensitivity on luteinizing hormone pulse detection after gonadotropin-releasing hormone antagonist treatment in man.

When serum levels of a hormone are at or below the detection limit of the measurement system, accurate characterization and quantitation of pulsatile hormone secretion may be difficult. This point is well illustrated in this study, which used two immunoassays with markedly different assay sensitivities to quantitate pulsatile LH secretion in men in whom serum LH levels had been suppressed by the administration of a GnRH antagonist. Five normal men received 5 mg Nal-Glu, sc, daily for 21 days. Blood was drawn at 10-min intervals over 8 h on days 0 and 21. Samples were assayed in triplicate in both a conventional LH RIA with a sensitivity of 0.6-1.0 IU/L and a two-site-directed ultrasensitive immunofluorometric assay (IFMA) with assay sensitivity ranging from 0.05-0.125 IU/L. LH pulses were analyzed by Cluster analysis (C) and were corroborated by the Detect algorithm (D). Nal-Glu suppressed LH (C) pulse amplitude from 4.0 +/- 0.7 to 0.40 +/- 0.03 IU/L by LH RIA and from 7.8 +/- 2.1 to 0.21 +/- 0.04 IU/L by LH IFMA. An apparent reduction in LH pulse number was observed in the RIA data on day 21 by both pulse detection methods [4.2 +/- 0.4 vs 2.4 +/- 0.2/8 h on days 0 and 21 by C (P < 0.005); 5.8 +/- 0.8 vs. 2.8 +/- 0.7 by D (P < 0.05)]. However, the IFMA measurements in the same samples using the more sensitive LH IFMA showed no difference in pulse number between days 0 and 21. The RIA data correlated well with the IFMA data, with a concordance coefficient ranging from 0.66-0.9. In summary, the Nal-Glu GnRH antagonist markedly decreases LH pulse amplitude, but not pulse frequency. These observations are consistent with competitive inhibition of GnRH action at the pituitary site by the Nal-Glu antagonist; they indicate that assay characteristics can significantly affect quantitation of hormone pulse pattern and underscore the need for ultrasensitive LH assays for accurate assessment of LH pulse characteristics when LH levels are low or suppressed.

Adult↗
PubMed2003

Computational analyses of high-throughput protein-protein interaction data.

Protein-protein interactions play important roles in nearly all events that take place in a cell. High-throughput experimental techniques enable the study of protein-protein interactions at the proteome scale through systematic identification of physical interactions among all proteins in an organism. High-throughput protein-protein interaction data, with ever-increasing volume, are becoming the foundation for new biological discoveries. A great challenge to bioinformatics is to manage, analyze, and model these data. In this review, we describe several databases that store, query, and visualize protein-protein interaction data. Comparison between experimental techniques shows that each high-throughput technique such as yeast two-hybrid assay or protein complex identification through mass spectrometry has its limitations in detecting certain types of interactions and they are complementary to each other. In silico methods using protein/DNA sequences, domain and structure information to predict protein-protein interaction can expand the scope of experimental data and increase the confidence of certain protein-protein interaction pairs. Protein-protein interaction data correlate with other types of data, including protein function, subcellular location, and gene expression profile. Highly connected proteins are more likely to be essential based on the analyses of the global architecture of large-scale interaction network in yeast. Use of protein-protein interaction networks, preferably in conjunction with other types of data, allows assignment of cellular functions to novel proteins and derivation of new biological pathways. As demonstrated in our study on the yeast signal transduction pathway for amino acid transport, integration of high-throughput data with traditional biology resources can transform the protein-protein interaction data from noisy information into knowledge of cellular mechanisms.

Animals↗
PubMed2001

The Zeiss-MKM system for frameless image-guided approach in epidural motor cortex stimulation for central neuropathic pain.

OBJECT: Twelve patients (seven female, and five male, mean age 55.6 years) suffering from refractory central (ischemic/traumatic [eight cases]) and neuropathic pain (trigeminal neuropathy [four cases]) underwent surgery for the implantation of an epidural motor cortex stimulation (MCS) device in which the authors used a frameless neuronavigation system, the Zeiss-MKM microscope. METHODS: The authors assessed the spatial accuracy of the neuronavigation system and its potential contribution to improve the quality of targeting pain. In these patients, the positions of the central sulcus, defined by stereotactic magnetic resonance MR imaging, intraoperative somatosensory evoked potentials (SSEPs) and subdural visual verification, were correlated into the stereotactic neuronavigation planning procedure. The mean spatial accuracy of distance between (MR) imaging-defined and actual central sulcus was 2.4 mm (range 5-10 mm). The intraoperative SSEPdefined central sulcus was close to that defined by MR imaging (mean distance 6.4 mm). Although very precise, intraoperative SSEP recordings were impaired by artifacts and wave attenuation in six of the 12 patients. Stereotactic correlations between anatomical and functional data in the navigation system corrected final targeting in 10 of 12 cases. Pain relief was obtained in eight patients. Indeed, inappropriate targeting probably explains the reported variable success rate of MCS and certainly underestimates the actual efficacy. CONCLUSIONS: Since intraoperative SSEP monitoring has, for many years, been considered the standard procedure to approach motor target, the development of an accurate stereotactic image guidance system could help to increase the efficacy of MCS on the alleviation of pain. The excellent spatial accuracy provided by the Zeiss-MKM navigation system allows precise data correlations that represent a remarkable means to validate functional MR imaging as an alternative to SSEP. The authors believe that developing stereotactic image guidance with such a navigation system could improve the success rate of MCS.

Deep Brain Stimulation↗
PubMed1996

Biodosimetry: chromosome aberration in lymphocytes and electron paramagnetic resonance in tooth enamel from atomic bomb survivors.

One hundred enamel samples isolated from extracted teeth donated by atomic bomb survivors were subjected to free radical measurement by means of electron paramagnetic resonance (ESR). Results comparing ESR with the chromosome aberration frequency in lymphocytes of the tooth donors, and with the physically estimated DS86 dose suggested that ESR data correlated more closely with chromosome data than with the estimated DS86 doses, probably because DS86 may depend on erroneous memory in some cases.

Adult↗
PubMed1996

[Current developments in biostatistics].

Recent developments in biostatistics in three key areas: survival analysis of censured data, generalised linear models for correlated data, Bayesian modelling of complex data, are presented. Particular emphasis is placed upon illustrating common trends in these areas, in particular advances in computer intensive methods, the development of unifying modelling structures and the increasing variety of complex biomedical problems which can be realistically analysed.

Bayes Theorem↗
PubMed2003

Equine third metacarpal bone assessment by quantitative ultrasound and dual energy X-ray absorptiometry: an ex vivo study.

The purpose of this ex vivo study was to analyse two commonly established methods of mechanical bone property assessment for application in horses: Quantitative ultrasound (QUS), which depends on the bone's density and Young's modulus, and dual energy X-ray absorptiometry (DXA), which depends on the areal bone mineral density (BMD). The third metacarpal bone (MC III) of horses was selected as examination region for practical reasons. An interrelationship between QUS- and DXA-values was examined. Both MC III of eleven randomly selected equine cadavers were divided in nine regions of interest (ROI). A multi-site QUS device was used for axial transmission speed of sound (SOS) measurements and a DXA device was used for BMD evaluation. Full cortical thickness BMD (FcBMD), overall aspect BMD and 4 mm cortical border slice BMD (4 mmBMD) were evaluated. In addition, each ROI of one MC III was measured 10 times to determine QUS- and DXA-measurement precision. SOS values and BMD values obtained at different aspects of MC III were different (P < 0.001). FcBMD and overall BMD obtained at different levels were different (P < 0.001). SOS data correlated with FcBMD-, overall BMD- and 4 mmBMD-data at various ROI. FcBMD-, overall BMD- and 4 mmBMD-data were strongly correlated. The intra-operator coefficient of variation was 1.3% for SOS-measurements and ranged between 1.94 and 10.3% for BMD-measurements. Multi-site axial transmission QUS as well as DXA can be used to precisely measure bone characteristics of MC III in horses. However, both techniques do not measure the same bone properties. It is therefore concluded, that QUS and DXA techniques are complementary for application in horses.

Absorptiometry, Photon↗
PubMed2002

Random matrix approach to cross correlations in financial data.

We analyze cross correlations between price fluctuations of different stocks using methods of random matrix theory (RMT). Using two large databases, we calculate cross-correlation matrices C of returns constructed from (i) 30-min returns of 1000 US stocks for the 2-yr period 1994-1995, (ii) 30-min returns of 881 US stocks for the 2-yr period 1996-1997, and (iii) 1-day returns of 422 US stocks for the 35-yr period 1962-1996. We test the statistics of the eigenvalues lambda(i) of C against a "null hypothesis"--a random correlation matrix constructed from mutually uncorrelated time series. We find that a majority of the eigenvalues of C fall within the RMT bounds [lambda(-),lambda(+)] for the eigenvalues of random correlation matrices. We test the eigenvalues of C within the RMT bound for universal properties of random matrices and find good agreement with the results for the Gaussian orthogonal ensemble of random matrices-implying a large degree of randomness in the measured cross-correlation coefficients. Further, we find that the distribution of eigenvector components for the eigenvectors corresponding to the eigenvalues outside the RMT bound display systematic deviations from the RMT prediction. In addition, we find that these "deviating eigenvectors" are stable in time. We analyze the components of the deviating eigenvectors and find that the largest eigenvalue corresponds to an influence common to all stocks. Our analysis of the remaining deviating eigenvectors shows distinct groups, whose identities correspond to conventionally identified business sectors. Finally, we discuss applications to the construction of portfolios of stocks that have a stable ratio of risk to return.

Journal Article↗
PubMed2004

Midarm computerized tomography fat, muscle and total areas correlation with nutritional assessment data.

BACKGROUND AND OBJECTIVES: Correlated nutritional assessment data (anthropometric, bioimpedance and biochemical) with computerized tomography (CT) of total, muscle and fat midarm areas. Total body fat and fat-free mass were estimated using bioimpedance. Daily urinary urea and creatinine were also quantified. In all, 28 subjects (13 males, 15 females) were evaluated and, they were clinically divided in obese, malnourished and control subjects. DESIGN: Quantification of total, fat muscle midarm areas by tomography and anthropometry and total body fat and free-fat mass by bioimpedance. RESULTS: CT values were 29% higher for fat area and 4-5% lower for total and muscle midarm areas compared against anthropometric data. The midarm skinfold thickness highly correlated with CT fat midarm area. Total body fat and free-fat mass bioimpedance data showed significant correlation with CT midarm data. Urinary creatinine correlated with CT muscle midarm area. CONCLUSION: Utilization of anthropometry can lead to error estimation of fat and fat-free arm areas and that bioimpedance gives fair correlation between total body and CT midarm measurements.

Adult↗
PubMed1999

Sexuality during pregnancy and after childbirth: a metacontent analysis of 59 studies.

The aim of this study is to gain a systematic overview of all existing studies on parental sexuality during pregnancy and the postpartum period (months 1-6). Investigations of psychological and medical data banks and cross-references revealed 59 relevant studies published in English or German between 1950 and 1996. These primary studies were metacontent analyzed, according to the following categories: methodology (samples, designs): type of descriptive data researched (sexual activity, interest, enjoyment, orgasm, problems); and type of correlational data researched (sexual variables and pregnancy outcome, maternal physical and psychological health, sociodemographic data, biographical data, partnership data). On average, female sexual interest and coital activity declines slightly in the first trimester of pregnancy, shows variable patterns in the second trimester, and decreases sharply in the third trimester. Most couples do not practice intercourse for about 2 months around the delivery. Afterwards, sexual interest and activity tends to be reduced for several months as compared with the prepregnancy level, and sexual problems occur relatively often. But most remarkable is the interindividual variability concerning sexual responsiveness, orgasm, activity, and enjoyment. Descriptive research is focused on coital activity of (expectant) mothers. Data about fathers, noncoital activities, and sexual feelings are scarce. Data analysis is focused on three questions: (1) Does sexual activity in pregnancy harm the fetus? (if there are no risk factors: no); (2) Are physical and mental symptoms or data about the delivery and sexual variables correlated? (in some cases: yes); (3) Are sociodemographic data and sexual variables correlated? (mostly not). Research deficits (e.g., conceptual reductionism "sexuality=intercourse," neglect of the male partners, validity, reliability, neglect of the nonsexual partnership and of biographical influences) are critically discussed. Medical, counseling, and psychotherapeutic implications are derived.

Female↗
PubMed2004

Assessment of anthropometric, systemic, and lifestyle factors influencing bone status in the legs of spinal cord injured individuals.

The aim of the present study was to assess the influence of muscle spasms, systemic or lifestyle factors on bone mass and geometry of the femur and the tibia in people with long-standing spinal cord injury (SCI). Fifty-four motor complete SCI people with paralysis duration of between 5 and 50 years were included in the study. Spasticity was measured by means of the Ashworth scale. Distal epiphyses and mid shafts of the femur, tibia, and radius were measured by peripheral quantitative computed tomography. From the epiphyseal scans, trabecular and total bone mineral density (BMDtrab and BMDtot) were calculated, and from the shaft scans, cortical BMD (BMDcort), total and cortical cross-sectional area (CSAtot and CSAcort), and muscle cross-sectional areas (CSAmus) were determined. Personal characteristics, anthropometric, as well as life-style factors, were assessed by means of a questionnaire. A Spearman correlation matrix was produced with measured data. Correlation coefficients exceeding 0.3 were tested for significance by performing linear regression for parametric data and ANOVA for non-parametric data. Subjects with higher spasticity scores had significantly larger CSAmus in the upper and lower leg. Both spasticity and CSAmus were found to be significantly related to BMDtrab and BMDtot of the distal epiphysis of the femur and to CSAcort of the femoral shaft. In the lower leg, bone parameters of the tibia were found to be strongly related to corresponding bone parameters of the radius, which suggests a systemic origin. No significant relationships were found between bone parameters and any of the life-style factors. The extent of bone loss caused by disuse of the lower extremities in people with long-standing SCI is influenced by systemic factors. Additionally, spasticity has a positive effect on bone parameters of the femur.

Adult↗
PubMed2006

A learning algorithm for adaptive canonical correlation analysis of several data sets.

Canonical correlation analysis (CCA) is a classical tool in statistical analysis to find the projections that maximize the correlation between two data sets. In this work we propose a generalization of CCA to several data sets, which is shown to be equivalent to the classical maximum variance (MAXVAR) generalization proposed by Kettenring. The reformulation of this generalization as a set of coupled least squares regression problems is exploited to develop a neural structure for CCA. In particular, the proposed CCA model is a two layer feedforward neural network with lateral connections in the output layer to achieve the simultaneous extraction of all the CCA eigenvectors through deflation. The CCA neural model is trained using a recursive least squares (RLS) algorithm. Finally, the convergence of the proposed learning rule is proved by means of stochastic approximation techniques and their performance is analyzed through simulations.

Algorithms↗
PubMed2005

[Similarity system theory to evaluate similarity of chromatographic fingerprints of traditional Chinese medicine].

The similarity evaluation of the fingerprints is one of the most important problems in the quality control of the traditional Chinese medicine (TCM). Similarity measures used to evaluate the similarity of the common peaks in the chromatogram of TCM have been discussed. Comparative studies were carried out among correlation coefficient, cosine of the angle and an improved extent similarity method using simulated data and experimental data. Correlation coefficient and cosine of the angle are not sensitive to the differences of the data set. They are still not sensitive to the differences of the data even after normalization. According to the similarity system theory, an improved extent similarity method was proposed. The improved extent similarity is more sensitive to the differences of the data sets than correlation coefficient and cosine of the angle. And the character of the data sets needs not to be changed compared with log-transformation. The improved extent similarity can be used to evaluate the similarity of the chromatographic fingerprints of TCM.

Chemical Fractionation↗
PubMed1996

A note on fitting a marginal model to mixed effects log-linear regression data via GEE.

Marginal generalized linear models for correlated data are often fit by generalized estimating equations (Liang, K.Y. and Zeger, S.L., 1986, Biometrika 73, 13-22), which requires the marginal expectation to be correctly specified while the covariance structure is allowed to be misspecified. This note is concerned with the correct specification of the marginal mean for data from a mixed log-linear regression model and the relationship between the true subject-specific parameters and the true marginal parameters.

Analysis of Variance↗
PubMed1993

A new method to determine dose-effect relations for local lung-function changes using correlated SPECT and CT data.

PURPOSE: To determine dose-effect relations for regional lung-function changes after radiotherapy. METHODS: Single Photon Emission Computed Tomography (SPECT) was performed to quantify regional ventilation and perfusion. CT scans were used to calculate the three-dimensional (3-D) dose distribution. Both SPECT and CT scans were performed prior to radiotherapy and 5 months after the start of the treatment. To obtain combined 3-D information on ventilation, perfusion and dose, the SPECT data were correlated with the corresponding CT data. The relative changes in ventilation and perfusion were calculated in each SPECT voxel (voxel size about 6 x 6 x 6 mm) and related to the dose in that voxel. The average relative changes were determined per dose interval of 4 Gy. This procedure was evaluated using the data from five patients treated for Hodgkin's disease with mantle field irradiation with a prescribed total dose of 40-42 Gy. RESULTS: Dose-effect relations for perfusion were observed in all patients, while in four of the five patients, a dose-effect relation was found for ventilation. The maximal uncertainty of the calculated radiation dose was 11%: a difference between the position of the patient during treatment and during CT scanning caused a maximal dose uncertainty of 6%, while the accuracy of the dose calculation algorithm itself was estimated to be within 5%. CONCLUSION: The results indicate that the combined use of SPECT and CT information is an effective method for determining dose-effect relations for regional lung function parameters in each individual patient.

Adolescent↗
PubMed2000

Sonographic evaluation of digital annular pulley tears.

OBJECTIVE: To evaluate the sonographic (US) appearance of digital annular pulley (DAP) tears in high-level rock climbers. DESIGN AND PATIENTS: We performed a retrospective analysis of the US examinations of 16 high-level rock climbers with clinical signs of DAP lesions. MRI and surgical evaluation were performed in five and three patients respectively. The normal US and MRI appearances of DAP were evaluated in 40 and three normal fingers respectively. RESULTS: Nine of 16 patients presented a DAP tear. In eight subjects (seven with complete tears involving the fourth finger and one the fifth finger), US diagnosis was based on the indirect sign of volar bowstringing of the flexor tendons. Injured pulleys were not appreciated by US. Tears concerned the A2 and A3 in six patients and the A3 and A4 in two patients. A2 pulley thickening and hypoechogenicity compatible with a partial tear was demonstrated in one patient. MRI and surgical data correlated well with the US findings. Four patients had tenosynovitis of the flexor tendons but no evidence of pulley disruption. US examinations of three patients were normal. In the healthy subjects US demonstrated DAP in 16 of 40 digits. CONCLUSION: US can diagnose DAP tears and correlates with the MRI and surgical data. Because of its low cost and non-invasiveness we suggest US as the first imaging modality in the evaluation of injuries of the digital pulley.

Adult↗