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Biomedical subjects

G W Moore

Publications and source records attributed to G W Moore.

At least 37 records · Page 2Linked to original sources

Impact of unfunded research in medicine, pathology, and surgery.

The impact of unfunded medical research (ie, research conducted with no visible means of support) has received scant attention. In this study, we counted research contributions from the 10 most-cited journals in the fields of internal medicine, pathology, and surgery. Ten consecutive articles, excluding case reports and review articles, for the years 1987, 1989, and 1991 were sampled from each of 10 journals for the three areas of medicine. Unfunded articles accounted for the majority of contributions (60% of pathology articles, 62% of internal medicine articles, and 74% of surgery articles). In 1987, funded research articles published received somewhat more citations (2,961) than unfunded research articles (2,368). Among articles supported by an NIH grant, the first author of the article was seldom the grant's principal investigator (38.6%, 26.9%, and 16.7% of funded articles by pathologists, internists, and surgeons, respectively). These results indicate that unfunded research plays a major role in medical research.

Authorship↗

Image analysis software for the detection of preneoplastic and early neoplastic lesions.

Preneoplastic lesions are usually small, and often appear as foci of atypical cells that blend into the surrounding normal tissue without producing a detectable tumor mass. Since these lesions seldom provide adequate tissue for biochemical studies, their detection often depends upon subtle distinctions in cytologic features. Image analysis permits pathologists to obtain quantitative measurements on cytologic and histologic preparations, so that visual impressions can be augmented by quantitative morphometry. Preneoplastic lesions have well-described morphometric features relating to nuclear area, texture, or shape. It is now feasible for every pathology department to capture images of pathologic material with equipment costing less than the price of a microscope. Captured image files can be analyzed using commercial software or software developed in several U.S. government agencies and made freely available to the public. Image analysis has been shown to improve the detection of preneoplastic cells. Recent improvements in the resolution of captured images, in the algorithms that measure preneoplastic descriptors, and in the ease and speed of transmission of images between laboratories, should increase our ability to detect and treat preneoplastic lesions.

Carcinoma in Situ↗

Performance analysis of manual and automated systemized nomenclature of medicine (SNOMED) coding.

Many pathology departments rely on the accuracy of computer-generated diagnostic coding for surgical specimens. At present, there are no published guidelines to assure the quality of coding devices. To assess the performance of systemized nomenclature of medicine (SNOMED) coding software, manual coding was compared with automated coding in 9353 consecutive surgical pathology reports at the Baltimore Veterans Affairs Medical Center. Manual SNOMED coding produced 13,454 morphologic codes comprising 519 distinct codes; 209 were unique codes (assigned to only one report apiece). Automated coding obtained 23,744 morphologic codes comprising 498 distinct codes, of which 129 were unique codes. Only 44 (.5%) instances were found in which automated coding missed key diagnoses on surgical case reports. Thus, automated coding compared favorably with manual coding. To achieve the maximum performance, departments should monitor the output from automatic coders. Modifications in reporting style, code dictionaries, and coding algorithms can lead to improved coding performance.

Classification↗

Prostate-specific antigen screening for prostate cancer: no reduction in Gleason scores.

Skepticism regarding prostate-specific antigen (PSA) screening arises from the possibility that screening procedures increase the yield of diagnosed prostate cancers occurring in an indolent form that does not require treatment. If PSA screening serves only to increase the yield of clinically trivial prostate cancer, one would expect a drop in the average Gleason score of prostate cancers detected with PSA screening compared with prostate cancers detected before the advent of PSA screening. In a 3-yr study of newly diagnosed prostate cancer, there was almost a 7-fold increase in PSA screening tests ordered between 1989 and 1992 and a greater than 2-fold increase in the number of newly diagnosed prostate cancers. In the same time period, the average Gleason scores of newly diagnosed prostate cancer increased slightly (from 6.2 to 6.5). In this study there was no prognostic difference (as predicted by Gleason score) between prostate cancers in populations whose cancers were diagnosed before and after the increased use of PSA as a screening tool.

Biopsy, Needle↗

A SNOMED analysis of three years' accessioned cases (40,124) of a surgical pathology department: implications for pathology-based demographic studies.

Pathology departments devote considerable energy toward indexing diagnoses. To date, there have been no detailed tabulations of the results of these efforts. We have thoroughly analyzed three years' surgical pathology reports (40,124) generated for 29,127 different patients from the University of Florida at Gainesville between Jan 1, 1990, and December 31, 1992. 64,921 SNOMED code entries (averaging 1.6 codes per specimen and 1.4 specimens per patient) were accounted for by 1,998 distinct SNOMED morphologies. A mere 21 entities accounted for 50% of the morphology code occurrences. 265 entities accounted for 90% of the morphology code occurrences, indicating that the diagnostic efforts of pathology departments are contained within a small fraction of the many thousands of morphologic entities available in the SNOMED nomenclature. One of the key problems in using SNOMED data collected from surgical pathology reports is the redundancy of lesions reported for single patients (i.e., a patient's disease may be coded on more than one specimen from the patient, leading to false conclusions regarding the incidence of disease in the population). In this study, redundant SNOMED data was removed by eliminating repeat morphology/topography pairs whenever they occur for a single patient. SNOMED data can be stratified on the basis of age and sex (data fields included on every surgical pathology report). This analysis represents the first published analysis of SNOMED data from a large pathology service, and demonstrates how SNOMED data can be compiled in a form that preserves patient privacy.

Adult↗

Automatic SNOMED coding.

Medical coding has become an important new industry that has originated from the field of medical informatics. Automatic coding of specimens has emerged as a way of relieving hospitals from the cost of paying professional coders and for achieving uniform coding for all specimens. Unfortunately, automatic coding, like manual coding, has numerous pitfalls. Further, the coding algorithms employed by manufacturers of automatic coders are typically proprietary. We have developed a method for automatic coding of pathology reports. Using this public domain autocoder, we have previously demonstrated that automatic SNOMED coding was superior to manual coding in several measurable categories, including the overall number of codes generated and the number of distinct code entities provided. In this report, we describe an algorithm that executes this strategy in the M-Technology environment.

Algorithms↗

Registry of Experimental Cancers of the National Cancer Institute. A database resource for cancer research.

The National Cancer Institute established the Registry of Experimental Cancers in March 1970. This registry consists of a permanent collection of pathological materials on spontaneous and induced lesions in laboratory animals that includes histological slides, paraffin blocks, autopsy findings, pathological diagnoses, photographs, and experimental records. The material presently is composed of approximately 60,000 consecutive records and is a valuable resource for researchers interested in tumors and other lesions arising spontaneously or from specific induction protocols in experimental animals. The entire registry database was transferred to an object-oriented database that permits registry staff to write programs for the different data field objects, thus customizing searches and other database functions. Twenty-seven animal species are represented and a total of 6,496 diagnostic entities and 1,106 treatment and control protocols are listed. Archival material may be retrieved for analysis of molecular markers.

Animals↗

Liver cell dysplasia: a DNA aneuploid lesion with distinct morphologic features.

Liver cell dysplasia is characterized by hepatocellular foci with nuclear atypia. It is often seen in cirrhosis and may be a precursor of hepatocellular carcinoma (HCC). To determine whether liver cell dysplasia is DNA aneuploid, 72 sections of 33 cirrhotic livers from the autopsy files of The Johns Hopkins Hospital were studied, and 14 foci of dysplasia from 13 cirrhotic livers were selected. Patients ranged in age from 32 to 70 years. Histologically, there were 10 foci of low-grade dysplasia and four foci of high-grade dysplasia. Nine HCCs served as positive controls; seven autopsy livers with no morphologic or clinical evidence of primary liver disease served as negative controls. One focus of HCC and one focus of dysplasia were unsatisfactory for analysis. Flow cytometric examination demonstrated subpopulations with DNA abnormality in four of nine (44%) foci of low-grade dysplasia, of which three were aneuploid. Three of four (75%) foci of high-grade dysplasia were aneuploid. Six of eight (75%) HCCs showed DNA abnormality, of which five were aneuploid. DNA aneuploidy was not present in the seven control livers; however, one showed DNA abnormality. We conclude that liver cell dysplasia is a morphologic entity that contains DNA aneuploid cells, a feature that supports the role of liver cell dysplasia in the evolution of HCC.

Adult↗

Automated review of blood donor screening test patterns at a regional blood center.

Regional blood centers recently increased the number of tests used to protect transfusion recipients from infectious disease. The Food and Drug Administration has noted that computer systems for managing these data have lost donor data or failed to recognize all deferrals. Of 118,396 consecutive donations, including 4,859 records with at least one positive test result, records were analyzed to determine the number and frequency of distinct combinations of test data. A modular precedence-logic expert system assigned donor deferrals and unit dispositions. Ten combinations of data accounted for 4,334 records (89%); the remaining 525 records (11%) were distributed among 85 combinations of test data. The expert system correctly assigned all records. Regional blood centers must interpret a growing number of test results, including donations with a complicated pattern of multiple positive screening test results. The distribution of these data is described and the expert system's ability to monitor deferrals and ensure database completeness is demonstrated.

Blood Banks↗

The role of cell death in the growth of preneoplastic lesions: a Monte Carlo simulation model.

A variety of experimental and clinical examples of preneoplasia demonstrate that regression of early lesions is common. This paper examines the hypothesis that early lesions operate under the identical growth kinetics of 'late' lesions (neoplasms), but that kinetic features favouring continuous growth in established lesions tend to favour extinction of lesions composed of small numbers of cells. Growth simulations of early lesions were produced using the Monte Carlo method, a technique demanding intensive computations. With the advent of powerful personal computers, this technique is now widely available to biologists. Simulating growth under conditions of cell loss similar to those observed in established tumours, the model predicts that the great majority of initiated cell clusters are expected to reach extinction within a few cell doubling times, and most early (promoted) lesions would not likely progress to the size of a clinically detectable lesion within the life span of the host organism. These Monte Carlo simulations provide a model of initiated cell growth consistent with the recently demonstrated role of early lesion cell death in the development of human lymphomas and in transgenic mice expressing the bcl-2 oncogene. The model demonstrates that small increments in the intrinsic cell loss probability in even the earliest progenitors of malignancy can strongly influence the subsequent development of neoplasia from initiated foci.

Apoptosis↗

Research by pathologists not funded by external grant agencies: a success story.

The paradigm of pathology research as an endeavor among grant-funded principal investigators resulting in first-author publications is unsupported by quantitative examination of author profiles extracted from the scientific literature. Publications in six pathology journals (Modern Pathology, American Journal of Surgical Pathology, Human Pathology, Acta Cytologica, Archives of Pathology and Laboratory Medicine, and American Journal of Clinical Pathology) and three general science journals (Science, New England Journal of Medicine, and Proceedings of the U.S. National Academy of Sciences) were reviewed. Twenty articles per journal from each of three years (1987, 1989, and 1991) were examined (a total of 520 articles). Of these, 295 articles were first-authored by a member of a department of pathology. Of the 295 articles first-authored by a member of a pathology department, 47 (16%) articles listed competitive grant support. Of the grant-supported articles, 20 articles listed NIH support, but only four had an NIH-supported principle investigator as the first author of the article. Unfunded research represented the vast majority (84%) of work produced by pathologists. A review of the ISI Citation Index showed that those articles written by funded pathologists averaged 8.7 (S.D. 7.8) citations per article, compared to 10.4 (S.D. 12.1) citations per article for unfunded pathologists. Results suggest that unfunded research accounts for the majority of pathology research activity as well as their resulting literature citations.

Authorship↗

Spontaneous regression of residual tumour burden: prediction by Monte Carlo simulation.

Current cancer treatment protocols are designed to release the tumour burden down to a small number of cells. In this study, we use Monte Carlo simulations to show that small populations of cells with intrinsic cell loss rates comparable to the cell loss rates observed clinically in human tumours, may regress spontaneously. Large populations of cells tend to grow under the same conditions of cell loss that result in extinction of small clones. Furthermore, minor variations in the intrinsic cell death probability near 0.50 result in large differences in the number of surviving cells calculated at the 100th generation. When Monte Carlo simulations of clonal growth resulted in clones with large populations (> 50 cells), the population as a whole behaved in a deterministic fashion (logarithmic growth) similar to those observed in clinically observed neoplasms and consistent with other published models of tumour growth. These findings provide a plausible explanation for the clinically observed failure of tumours to recur in instances where tumour burden remains following cancer therapy. The findings also demonstrate the usefulness of the Monte Carlo method to simulate biologic events in populations where the fate of each member of a population can be modeled probabilistically.

Cell Death↗

Multiparameter DNA flow cytometry of keratoacanthoma.

Keratoacanthomas (KAs) are rapidly growing cutaneous lesions that frequently look much like well-differentiated squamous cell carcinomas (SCCs) but spontaneously regress. It is uncertain whether KA is a reactive hyperplastic lesion that mimics a neoplasm or a true (but defective) neoplasm that cannot sustain progressive growth. To address this question, we performed DNA flow cytometric analysis on 14 KAs and 10 cutaneous SCCs for comparison. By multiparameter DNA flow cytometry using forward scatter and orthogonal scatter, 10 KAs and 4 SCCs had peridiploid DNA aneuploid populations (DNA indices of 1.03-1.14), and 2 SCCs had grossly aneuploid populations (DNA index, 1.69 and 2.33). Our data thus support aneuploidy in KAs. It is argued that KA is a true neoplasm.

Aneuploidy↗