Literature DB >> 3469845

Computerized interactive morphometry as an aid in the diagnosis of pleural effusions.

A M Marchevsky, E Hauptman, J Gil, C Watson.   

Abstract

A morphometric study of cytologic preparations from patients with benign and malignant (mesothelioma and carcinoma) pleural effusions is reported. The routine cytologic smears from these specimens were studied with a new system of video-based computerized interactive morphometry (CIM) that allows the measurements of real-time images of cell profiles by the simple procedure of touching the two extreme points of a diameter of interest on a touch-sensitive screen. For each cell, the nuclear profile diameter (NPD) and the cytoplasmic profile diameter (CPD) are measured and categorized into classes with 2-microns intervals; the NPD/CPD ratio is also calculated. The mean NPD is calculated for the specimen after measurement of 100 cells. The data were interpreted by two independent methods: a statistical method of discriminant analysis that classifies the lesions as benign, carcinoma or mesothelioma and provides a probability statement of membership in a particular diagnostic class and an ad-hoc algorithm that categorizes the effusions as benign or malignant based on hierarchic analysis. A data base derived from study of the first 24 cases was constructed and utilized for the test classification of the second 24 cases, which were treated as specimens of unknown diagnosis. The discriminant analysis correctly classified 21 of the 24 test cases into their proper diagnostic groups. The algorithm for a computer-generated pathologic diagnosis correctly identified 47 of the 48 cases as benign or malignant. The technical advantages of video-based CIM over the existing morphometric methods are discussed.

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Mesh:

Year:  1987        PMID: 3469845

Source DB:  PubMed          Journal:  Acta Cytol        ISSN: 0001-5547            Impact factor:   2.319


  3 in total

1.  Morphometric diagnosis of serous effusions: refinement of differences between benign and malignant cases by use of outlying values and larger sample size.

Authors:  N Scott; J Sutton; C Gray
Journal:  J Clin Pathol       Date:  1989-06       Impact factor: 3.411

2.  Evaluation of diagnostic efficiency of computerized image analysis based quantitative nuclear parameters in papillary and follicular thyroid tumors using paraffin-embedded tissue sections.

Authors:  N Gupta; C Sarkar; R Singh; A K Karak
Journal:  Pathol Oncol Res       Date:  2001       Impact factor: 3.201

3.  Classification of individual lung cancer cell lines based on DNA methylation markers: use of linear discriminant analysis and artificial neural networks.

Authors:  Alberto M Marchevsky; Jeffrey A Tsou; Ite A Laird-Offringa
Journal:  J Mol Diagn       Date:  2004-02       Impact factor: 5.568

  3 in total

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