Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/200036
Type: Artigo de periódico
Title: Image Compression Impact On Quantitative Angiogenesis Analysis Of Ovarian Epithelial Neoplasms.
Author: Nicolosi, Jacqueline S
Yoshida, Adriana O
Sarian, Luís O Z
Silva, Cleide A M
Andrade, Liliana A L A
Derchain, Sophie F M
Vassallo, José
Schenka, André Almeida
Abstract: This study aims to investigate the impact of digital image compression on manual and semiautomatic quantification of angiogenesis in ovarian epithelial neoplasms (including benign, borderline, and malignant specimens). We examined 405 digital images (obtained from a previously validated computer-assisted analysis system), which were equally divided into 5 groups: images captured in Tagged Image File Format (TIFF), low and high compression Joint Photographic Experts Group (JPEG) formats, and low and high compression JPEG images converted from the TIFF files. Microvessel density counts and CD34 endothelial areas manually and semiautomatically determined from TIFF images were compared with those from the other 4 groups. Mostly, the correlations between TIFF and JPEG images were very high (intraclass correlation coefficients >0.8), especially for low compression JPEG images obtained by capture, regardless of the variable considered. The only exception consisted in the use of high compression JPEG files for semiautomatic microvessel density counts, which resulted in intraclass correlation coefficients of <0.7. Nonetheless, even then, interconversion between TIFF and JPEG values could be successfully achieved using prediction models established by linear regression. Image compression does not seem to significantly compromise the accuracy of angiogenesis quantitation in the ovarian epithelial tumors, although low compression JPEG images should always be preferred over high compression ones.
Subject: Antigens, Cd34
Data Compression
Epithelium
Female
Humans
Immunohistochemistry
Neovascularization, Pathologic
Ovarian Neoplasms
Ovary
Rights: fechado
Identifier DOI: 10.1097/PAI.0b013e31821c501a
Address: http://www.ncbi.nlm.nih.gov/pubmed/21836501
Date Issue: 2012
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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