Article ID Journal Published Year Pages File Type
504595 Computerized Medical Imaging and Graphics 2007 8 Pages PDF
Abstract

The invasion front pattern of squamous cell carcinoma (SCC) is a conspicuous histological phenomenon, which is assessed without precise criteria. The current study was performed to introduce the classical (CC) and discrete compactness (CD) as new morphometric parameters for quantification of this pattern. A retrospective analysis of 76 surgically treated patients with cervical carcinoma was conducted and the pattern of invasion was qualitatively classified as closed, finger-like or diffuse, respectively, by two pathologists. After digitization of the histological slides with a field of view of 10.4 mm × 8.3 mm, tumor areas were labeled and CC and CD were computed based on the drawings (binary images). Additionally, intraindividual variation of compactness was evaluated for 12 selected tumors. The qualitative pattern assessment by the pathologists was moderately reproducible with an interobserver agreement of 72% and a κ coefficient of 0.44. The values of CC and CD referring to the invasion front patterns assigned by both pathologists were significantly different between the three classified groups (p ≤ 0.01 and p ≤ 0.0001), so that, both theoretically and in practice, compactness regards the same morphological feature. In due consideration of the analysis of the area under the ROC (receiver operating characteristic) curves and the variation coefficient of different tumor regions, CD is more suitable for practical use than CC. Tumors with a microscopic invasion into the parametria and with lymph-vascular space invasion were found to have a lower value of CD, which indicates a more diffuse pattern of invasion (p = 0.028 and p = 0.033). We conclude that the discrete compactness CD is a new and reproducible parameter for a computer assisted quantification of the invasion front pattern and, thus, defines a further phenotypic feature of SCC of the uterine cervix.

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Physical Sciences and Engineering Computer Science Computer Science Applications
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