Publication: Clinical applications of image cytometry to human tumour analysis
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Date
2000
Authors
Millot, C. ; Dufer, J.
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Publisher
Murcia : F. Hernández
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DOI
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info:eu-repo/semantics/article
Description
Abstract
Image cytometry (ICM) is widely applied to
the automated screening, the detection, the diagnosis, the
classification, the prognosis and the therapeutic followup
of different types of cancers (breast, bladder,
cervix,. . .). This review describes the analysis methods
and the applications of nuclear image analysis, the
determination of DNA content and the analysis of
morphometry and of nuclear texture. DNA content
analysis can contribute to a prognostic information in
addition to other prognostic factors for breast, renal and
prostate cancers. For ovarian cancer, aneuploidy seems
to be related to prognosis. Bladder tumours with DNA
aneuploidy were frequently of high malignancy while
ploidy was significantly correlated to relapse risk. For
digestive cancers, patients presenting DNA diploid
tumours show a better survival than patients with
aneuploid ones. Morphometry seems to be a more
important criterion than other conventional prognostic
factors of invasive breast and digestive carcinomas. A
differential diagnosis between normal and neoplastic
thyroids is more precise when based on a quantitative
evaluation of texture associated to morphometry.
Textural parameters permit the discrimination of two
populations of patients having a different prognosis and
could thus be an aid for prognosis in prostatic cancers.
Morphonuclear parameters contribute to separate low
and high grade bladder carcinomas. Although ICM was
frequently reported, results from the reported examples
were not always obvious. In conclusion, the
measurements obtained with ICM could be helpful for a
decision in several cancers but could not be a substitute
for the classical approach of the pathologist.
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