PubMed · 10187047
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N Talbot. Moving forward.. https://pubmed.ncbi.nlm.nih.gov/10187047/
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Quantitative ultrasonic tissue characterisation of the myocardium based on integrated backscatter (IB) has the potential of becoming an effective method for detecting and evaluating myocardial ischaemia. To facilitate IB-based clinical applications, a new imaging method has been developed that combines the anatomical information of a B-mode image with the contractile performance of a selected myocardial region. To produce such a fusion image, a region of interest (ROI) in a B-mode cardiac image was first selected by the user. Algorithms for detection of the endocardium and epicardium were developed, and the resulting mean distance between the computer-detected curve and the manually traced curve was 0.83mm for the endocardium and 0.58mm for the epicardium. The cyclic variation of IB (CVIB) of each myocardial tissue element within the ROI was then calculated over one cardiac cycle. Finally, a grey-scale B-mode image at the end of diastole was displayed as a still image, and the pixels representing the myocardial tissue in the ROI colour-coded according to the corresponding CVIB over the past heart cycle. Both the B-mode image and the colour-coded region were refreshed (up-dated) at the next end-of-diastole. Preliminary results from normal (CVIB= 10-12dB) and ischaemic (CVIB = 5-7 dB) canine hearts are presented that demonstrate the utility of this new imaging method.
Needle-EMG is a common procedure performed and relied on by neurologists, physiatrists and neurosurgeons to localize focal nerve damage. However, despite its popularity, there is no standardization of this diagnostic process rendering it error prone. An automated diagnostic program may help the electromyographer by providing an objective second opinion and a statistical measure of its strength. Such a program is presented and evaluated in this manuscript. The electromyographer samples a set of muscles and grades each muscle for neuropathic changes. The Program accepts the electromyographer's graded muscle set. The Program then compares it to muscle-sets derived from all possible combinations of nerve damage and finds that combination that results in the best match. The latter is the anatomical diagnosis. Eighty-five cases from the literature, each with an impartial expert diagnosis, were analyzed using this Program. The Program precisely matched the expert electromyographers' diagnoses in 79% of the cases, partially matched in 15%, and did not match in 6% of the cases. In the latter, not necessarily the Program was in error. The Program proved to be a reliable diagnostic tool that may help electromyographers by offering a second opinion. It may also assist in teaching of residents and fellows.
Sperm Quality Analyzer (SQA) IIC, an upgrade version, is an inexpensive device and provides a quantitative estimation of sperm motility, whereas the use of computer-aided sperm analysis (CASA) provides high precision and provision of quantitative data on sperm kinetics. The aim of the present study was to evaluate if the SQA IIC variables correlated with the CASA estimates. Semen quality analysis of 71 fresh semen samples was performed using SQA IIC and CASA. Total sperm concentration, percentage of progressively motile sperm, percentage of normal morphology, motile sperm concentration, sperm motility index (SMI) and functional sperm count (FSC) determinations were performed using SQA IIC. Sperm concentration, sperm motility, and sperm motion variables including amplitude of lateral head displacement (ALH), beat cross frequency (BCF), curvilinear velocity (VCL), straight line velocity (VSL), average path velocity (VAP), linearity (LIN=VSL/VCL), and straightness (STR=VSL/VAP) were evaluated simultaneously on the same semen samples using CASA. The sperm characteristics were compared between SQA IIC and CASA. There were significant correlations of sperm concentration (r=0.634, p < 0.0001), sperm motility (r=0.697, p < 0.0001), and motile sperm concentration (r=0.757, p < 0.0001) between the two devices. Both SMI and FSC significantly correlated with eight CASA estimates, including sperm concentration, sperm motility, motile sperm concentration, ALH, VCL, VSL, VAP, and Rapid. SQA IIC is simple and easy to use. Moreover, the SQA IIC variables well correlated with the CASA estimates. As a screening test for semen quality, SQA IIC is considered as useful in the management of male infertility.