36 KB866 KB29 KB200020242005Elie, NicolasHerlin, PauletteLabiche, AlexandreMichels, Jean-Jacquesštevilka:2letnik:249 stranistr. 85-93ISSN:1580-3139COBISSID:20112089URN:URN:NBN:SI:doc-3M8LK3KRenDruštvo za stereologijo in kvantitativno analizo slike, Medicinska fakultetaImage analysis and stereologyImage Processing, Computer-AssistedJajčnik, novotvorbejajčnikiMicroscopy, Electron, ScanningMikroskopija elektronska, vrstičnaOvarian Neoplasmsrak (medicina)Slika, obdelava z računalnikomstereologijaStromal CellsStromalne celiceControl of low-resolution scanning of ovarian tumor stromal compartment|The active search for markers of prognostic impact and therapeutic response isof crucial importance in oncology. The amount of stroma is a potential indicator with a significant impact on tumor growth. To solve the problems linked to tumor heterogeneity and, hence, of quantization at the microscopic level, we developed an image-analysis strategy dedicated to estimating the proportion of tumor connective tissue in whole histological sections at low resolution. 2,700-dot-per-inch numerical images were acquired with a calibrated slide scanner and automatically analyzed. We performed a quality control in order to evaluate the efficiency of the proposed method of analysisat the selected resolution. The point-counting method and the interactive drawing of stroma limits on equivalent mosaic microscopic images were "the gold standards." The proportions of stroma estimated on microscopic images (magnification with a 4x objective corresponding to 16,200 dots per inch) and on slide scanner images (2,700 dots per inch) through point countingstereology or manual delineation were equivalent (p < 0.0001). The results obtained through automatic image processing of scanner images were also close to the gold standard (95% correlation, p < 0.0001). The proposed method makes it possible to estimate the stroma amount of ovarian carcinomas in whole histological sections with a simple, fast, and low-cost acquisition deviceTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaDruštvo za stereologijo in kvantitativno analizo slike