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Biomedical subjects

V Goldberg

Publications and source records attributed to V Goldberg.

32 records · Page 2Linked to original sources

Application of new techniques to separation of proteoglycan aggregates from normal and destabilized rabbit articular cartilages.

Proteoglycans were prepared from rabbit articular cartilages by classical techniques employing 4.0 M guanidine. HCl by transport ultracentrifugation techniques on the purified proteoglycans, present. A new method of extracting the cartilage with 0.4 M guanidine. HCl in the presence of highly purified collagenase is presented. The same yield of proteoglycans on extraction of normal cartilage was obtained as with the classical technique, but a larger proportion of intermediate and large aggregates was obtained with the new than with the classical methodologies. The osteoarthritic cartilage was obtained from 6 month old animals, 3 months after a partial medial meniscectomy had been performed. The profile of proteoglycans from osteoarthritic cartilage consisted predominately of monomers, and a small content of aggregates spread over intermediate and large size ranges. It is postulated that by the methods of extraction, the profile of proteoglycan aggregates present in vivo is more faithfully reproduced than obtained by the classical methodologies.

Animals↗

Rheumatology education in United States medical school.

Although rheumatology manpower in United States medical schools has dramatically increased in the past decade, 13% of medical schools did not have a full-time staff rheumatologist in 1980. Thirty-eight percent of medical schools had 2 or less full-time rheumatologists. Staff rheumatologists and rheumatology fellows provided the majority of medical student education in the clinical aspects of rheumatic disease; however, rheumatologists in less than 50% of medical schools taught in the basic science curriculum or in related fields such as collagen biochemistry, metabolic bone disease, and orthopedic intervention in arthritis. The staff rheumatologists' time commitment to medical student education was inversely proportional to the rheumatology faculty size. At medical schools with no rheumatologists, however, there was little, if any, formal education in the rheumatic diseases. Most subjects are taught in systems-oriented lectures. Education is currently limited to the common rheumatic conditions such as bursitis and back pain. Only 62% of medical schools provide a structured course on the musculoskeletal examination. Elective rotations in rheumatology, usually offered in the third or fourth year, are currently being provided to only 15% of U.S. medical students.

Curriculum↗

Evaluation of a new immunoassay for determination of phenytoin and phenobarbital: results of a European collaborative control study.

The performance of a new enzyme multiplied immunoassay technique (EMIT) was compared with other current methods, namely gas-liquid chromatography and thin-layer chromatography, for the determination of phenytoin and phenobarbital in serum. Forty-three serum samples were sent as unknowns to the participating laboratories for determination. The precision of repeated determinations was very similar for EMIT and chromatography. There was good agreement among gas chromatography, thin-layer chromatography, and EMIT results. Interlaboratory variability was lower for EMIT determinations of both antiepileptic drugs. The rapid analysis of small samples, made possible by the EMIT system, could have beneficial effects on the treatment of epilepsies.

Chromatography, Gas↗

Improvement in specificity of ultrasonography for diagnosis of breast tumors by means of artificial intelligence.

A set of ultrasonograms of lesions from 200 patients between the ages of 14 and 93 years who underwent mammography followed by ultrasonographic examination and excisional biopsy has been studied with computer vision techniques to improve the ultrasonographic specificity of the diagnosis. Selected features representing the texture of the lesion were calculated and then classified by an artificial neural network. This network was biased toward correctly classifying all the malignant cases at the expense of some misclassification of the benign cases. The network diagnosed the malignant cases with 100% sensitivity and 40% specificity (compared with 0% specificity for the radiologists diagnosing the same set of cases in the breast imaging setting), and tests performed with a leave-one-out technique indicate that the network will generalize well to new cases. This suggests that methods based on neural network classification of texture features show promise for potentially decreasing the number of unnecessary biopsies by a significant amount in patients with sonographically identifiable lesions.

Adolescent↗

The ageing process.

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Academies and Institutes↗