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Cancer Detection by Quantitative Fluorescence Image Analysis

Overview of attention for article published in The Journal of Urology, February 1988
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About this Attention Score

  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

policy
1 policy source
patent
5 patents

Readers on

mendeley
13 Mendeley
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Article details
Title
Cancer Detection by Quantitative Fluorescence Image Analysis
Published in
The Journal of Urology, February 1988
DOI 10.1016/s0022-5347(17)42384-6
Pubmed ID
Authors

William L. Parry, George P. Hemstreet

Abstract

Quantitative fluorescence image analysis is a rapidly evolving biophysical cytochemical technology with the potential for multiple clinical and basic research applications. We report the application of this technique for bladder cancer detection and discuss its potential usefulness as an adjunct to methods used currently by urologists for the diagnosis and management of bladder cancer. Quantitative fluorescence image analysis is a cytological method that incorporates 2 diagnostic techniques, quantitation of nuclear deoxyribonucleic acid and morphometric analysis, in a single semiautomated system to facilitate the identification of rare events, that is individual cancer cells. When compared to routine cytopathology for detection of bladder cancer in symptomatic patients, quantitative fluorescence image analysis demonstrated greater sensitivity (76 versus 33 per cent) for the detection of low grade transitional cell carcinoma. The specificity of quantitative fluorescence image analysis in a small control group was 94 per cent and with the manual method for quantitation of absolute nuclear fluorescence intensity in the screening of high risk asymptomatic subjects the specificity was 96.7 per cent. The more familiar flow cytometry is another fluorescence technique for measurement of nuclear deoxyribonucleic acid. However, rather than identifying individual cancer cells, flow cytometry identifies cellular pattern distributions, that is the ratio of normal to abnormal cells. Numerous studies by others have shown that flow cytometry is a sensitive method to monitor patients with diagnosed urological disease. Based upon results in separate quantitative fluorescence image analysis and flow cytometry studies, it appears that these 2 fluorescence techniques may be complementary tools for urological screening, diagnosis and management, and that they also may be useful separately or in combination to elucidate the oncogenic process, determine the biological potential of tumors and monitor the results of chemopreventive, immunological and chemotherapeutic regimens. To our knowledge there has been no study in which quantitative fluorescence image analysis and flow cytometry were compared directly to assess the relative strengths and weaknesses for urinary tract cytology. Such a study could provide important information for urologists.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 2 15%
Other 1 8%
Lecturer 1 8%
Student > Bachelor 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 6 46%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 3 23%
Pharmacology, Toxicology and Pharmaceutical Science 2 15%
Biochemistry, Genetics and Molecular Biology 1 8%
Engineering 1 8%
Unknown 6 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 April 2002.
All research outputs
#6,504,609
of 29,653,920 outputs
Outputs from The Journal of Urology
#4,448
of 20,350 outputs
Outputs of similar age
#4,473
of 56,143 outputs
Outputs of similar age from The Journal of Urology
#4
of 28 outputs
Altmetric has tracked 29,653,920 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 20,350 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 56,143 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.