Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Computer Analysis in the Differentiation of Benign and Malignant Polypoid Lesions of the Colon

Authors: J E, Youker; S, Welin; G, Main;

Computer Analysis in the Differentiation of Benign and Malignant Polypoid Lesions of the Colon

Abstract

Recently, Castleman and Krickstein (1), Spratt and Ackerman (7), and others have cast considerable doubt on how frequently colonic polyps become malignant. As a result, excision is no longer advised whenever a polypoid growth of the colon is discovered, and differentiation between benign and malignant polypoid growths of the colon has become a challenge to the radiologist. Many x-ray and clinical signs have been noted, but no one of these is diagnostic. The purpose of this study was to determine whether the simultaneous evaluation of several variables, compared to only one variable, can improve diagnostic accuracy. Computer technics were used to facilitate the multiple calculations necessary. Material and Method The material consisted of 271 biopsy-proved polypoid growths of the colon, which had been demonstrated by the Welin air-contrast barium-enema method in Malmo, Sweden. Subsequent examinations of many of these growths permitted the determination of growth rates as measured by the doubling time (10)....

Keywords

Diagnosis, Differential, Radiography, Polyps, Computers, Biopsy, Colonic Neoplasms, Humans, Probability

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    32
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Average
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!