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  • 1
    ISSN: 1471-0528
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Objective To analyse the suitability of DNA cytometry for predicting the histological diagnosis in women with cervical dyskaryosis.Design Survey with the use of diagnostic information to revise disease probability.Setting Colposcopy clinic of a university hospital.Participants One hundred and ten women with two mildly or moderately dyskaryotic cervical smears and 98 women with one severely dyskaryotic smear.Interventions DNA cytometric analysis using cytocentrifuge preparations of single cell suspensions from a cervical scrape. The main DNA cytometric parameter was N5C (i.e. the absolute number of cells with a DNA content of more than 5C on a given surface with a predefined cell density).Main outcome measure The probability of finding CIN II or worse. On arbitrary grounds, a positive test should point to a probability of 85% or higher.Results In the patients with cervical neoplasia, the value of N5C increased significantly with an increasing CIN grade (P 〈 0.001). In the patients with one severely dyskaryotic smear and in those with two mildly or moderately dyskaryotic smears, the prior probability of finding CIN II or worse was 94% and 53%, respectively. Therefore, DNA cytometric analysis might be particularly useful in women with mild or moderate dyskaryosis; further analysis was restricted to this group. All of the women in whom the N5C value was higher than 52 were diagnosed as having CIN II or worse. Only 16 (14.5%) of the 110 women had an N5C value of 52 or higher. When the N5C value was 27, the probability of finding CIN II or worse was estimated to be 85%. Only 28 (25%) patients had an N5C value of 27 or higher.Conclusions DNA cytometry produced significant diagnostic information, as was shown by the relation between N5C and the histological diagnosis. However, the N5C value could not discriminate sufficiently between women with CIN II or worse and CIN I or better. Therefore, the management of individual patients with cytological abnormalities cannot be based on the results of DNA cytometric analysis.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Histochemistry and cell biology 84 (1986), S. 549-555 
    ISSN: 1432-119X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Notes: Summary This paper describes the application of image analysis combined with a quantitative staining method for the analysis of cervical specimens. The image analysis is carried out with the Leyden Television Analysis System, LEYTAS, of which two versions are described. LEYTAS-1 as well as LEYTAS-2 have both been designed with a high degree of flexibility and interaction facilities. A much wider range of image analysis programs is however, possible with LEYTAS-2, enabling many applications. LEYTAS-1, the earlier version, consists of a Leitz microscope with automated functions, a TV camera, the Texture Analysis System (TAS, Leitz), a four-bit grey value memory and a minicomputer (PDP 11/23). Using this instrumentation 1,500 cervical smears prepared from cell suspensions and stained with acriflavin-Feulgen-Sits have been analysed in a completely automated procedure. Image transformations working in parallel on entire fields, have been used for cell selection and artefact rejection. Resulting alarms, consisting of selected single cells and non-rejected artefacts are stored in the grey value memory, which is displayed on a TV monitor. This option allows visual interaction after the machine diagnosis has been made. The machine diagnosis was correct in 320 out 321 specimens with a severe dysplasia or more serious lesion. The false positive rate in 561 morphologically negative specimens (normal and inflammation) was 16% (machine diagnosis). Visual interaction by subtracting the visually recognized false alarms from the total number of alarms reduces the false positive rate to 11%. In LEYTAS-2, which is based on LEYTAS-1 studies, the microscope is equipped with a new type of objective, enabling the analysis of microscope fields, which are four times as large as in LEYTAS-1. The image analysis part consists of the Modular Image Analysis Computer (MIAC, Leitz) and for alarm storage an eight-bit grey value processor is used. Comparison with LEYTAS-1 shows that cell selection capacities are similar and that the speed is four times higher.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Journal of cancer research and clinical oncology 126 (2000), S. 280-284 
    ISSN: 1432-1335
    Keywords: Key words Thymoma ; Prognostic factors ; Prognosis ; DNA cytometry
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract  Purpose: The aim of this work was to evaluate the prognostic significance of DNA image cytometry in thymoma. Patients and methods: Image cytometric studies with an automatic video-based analysis system (LEYTAS) were carried out on 47 archival specimens from 36 patients with thymomas who underwent operation at a single institution from 1954 to 1992. The significance of aneuploidy DNA-content (5c-exceeding events), and nuclear size on stage and survival were evaluated. The median follow-up was 52.7 (6–164) months. Results: Masaoka's stage was predictive of aneuploidy (P 〈 0.01) and disease-free survival (P 〈 0.015). In stage I 18% of the tumors were aneuploid, in stage II 78%, in stage III 85% and in stage IV 100%. The occurrence of 5c-exceeding events was associated with both decreased disease-free survival (P 〈 0.01) and overall survival (P = 0.013). Nuclear size was not significantly correlated to stage. Under multivariate analysis, aneuploidy and DNA content failed to attain independent significance for stage, performance status, and histology. Conclusion: DNA image cytometry may provide additional information about the prognosis of resected thymoma.
    Type of Medium: Electronic Resource
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