Biomedical subjects

T K Berkan

Publications and source records attributed to T K Berkan.

4 recordsLinked to original sources

PubMed1987

Improved model for specimen classification based on single-cell classifiers.

We consider probabilistic models for specimen classification procedures based on systems which classify individual cells as normal or abnormal. The models which we consider generalize those discussed previously by Castleman and White (Anal. Quant. Cytol. 2:117-122, 1980; Cytometry 2:155-158, 1981) and by Timmers and Gelsema (Cytometry 6:22-25, 1985). In particular, they include the biologically plausible possibility that the specimen contains cells which are intermediate between the extremes of normal and abnormal. We find that if these additional cells occur differentially in normal and abnormal specimens, then specimen classification can become substantially more efficient when the cell classifier has different error rates for these cells.

Cervix Uteri↗

PubMed1986

A protocol for Papanicolaou staining of cytologic specimens following flow analysis.

A protocol has been developed for restaining cytologic specimens that have been analyzed on a multidimensional slit-scan flow system. The technique involves Papanicolaou staining of cells on a membrane filter that has been previously stained with acridine orange and fixed with glutaraldehyde buffer. The specimen and staining solutions were sequentially added to a 5-micrometers pore size, 47-mm diameter Gelman "Metricel" filter while it remained in a glass filtration apparatus. The practice of retaining the filter in the filtration apparatus throughout the staining procedure minimizes cell loss and eliminates specimen cross contamination when compared with conventional filter dip staining. The availability of this postflow specimen Papanicolaou staining protocol permits accurate determination of the performance characteristics of a multidimensional slit-scan flow system and should be useful whenever staining of a limited number of cells with minimal cell loss is desired.

Acridine Orange↗

PubMed1986

A statistical analysis of prescreening alarms in a population of normal and abnormal gynecologic specimens.

A multidimensional slit-scan flow system has been developed to serve as an automated prescreening instrument for gynecological cytology. Specimens are classified abnormal based on the number of cells having elevated nuclear fluorescence (alarms). An alarm region in a bivariate histogram of nuclear fluorescence versus nuclear-to-cell-diameter ratio is defined. Alarm region probability arrays are calculated to estimate the probability that an alarm falling in a particular bin of the alarm region is either from a normal or an abnormal specimen. From these arrays, a weighted alarm index is generated. In addition, summary indices are derived that measure how the distribution of alarms in each specimen compares with the average distributions for the normal and abnormal specimen populations. These indices together with current features are evaluated with respect to their utility in specimen classification using a nonparametric classification technique known as recursive partitioning. Resulting classification trees are presented that suggest information in the distribution of alarms in the bivariate histogram. In addition, they validate the features and rules currently used for specimen classification. Recursive partitioning appears to be useful for multivariate classification and is seen as a promising technique for other applications.

Cytodiagnosis↗

PubMed1986

Multidimensional slit-scan detection of bladder cancer. Preliminary clinical results.

A multidimensional slit-scan flow system was developed for the automated recognition of abnormal cells derived from cancer of the uterine cervix and its precursors. It provides great sensitivity in both its ability to recognize cellular abnormality and to deal with the myriad potential causes of false alarms in an automated flow system. While its initial application was the automated recognition of the spectrum of neoplasia in gynecologic cytology samples, a preliminary study was carried out using specimens obtained from the urinary bladder. Cellular material was collected by bladder irrigation and stained with the fluorochrome acridine orange. One hundred fifty-three bladder irrigation specimens, including 115 abnormal specimens containing cells derived from neoplastic lesions of the bladder epithelium, were analyzed. For the purposes of this study, abnormal specimens from the urinary bladder included specimens containing cells derived from the following lesions of the urothelium: dysplasia (atypical hyperplasia), carcinoma-in-situ, and transitional cell carcinoma, grades 1-3. Approximately 50,000 cells were analyzed for most specimens. Of the 38 presumed normal specimens (specimens containing only normal urothelial components), four were instrument classified abnormal. For the 69 specimens containing cells derived from transitional cell carcinoma, grade 1, 1-2, 2, 66 were correctly classified as abnormal while three were classified as normal.(ABSTRACT TRUNCATED AT 250 WORDS)

Carcinoma in Situ↗