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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Image Compression Impact on Quantitative Angiogenesis Analysis of Ovarian Epithelial Neoplasms

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Author(s):
Nicolosi, Jacqueline S. [1] ; Yoshida, Adriana O. [2] ; Sarian, Luis O. Z. [2] ; Silva, Cleide A. M. [3] ; Andrade, Liliana A. L. A. [1] ; Derchain, Sophie F. M. [2] ; Vassallo, Jose [1] ; Schenka, Andre Almeida [1, 4]
Total Authors: 8
Affiliation:
[1] Univ Estadual Campinas, Dept Anat Pathol, BR-13084971 Campinas, SP - Brazil
[2] Univ Estadual Campinas, Dept Gynecol & Obstet, BR-13084971 Campinas, SP - Brazil
[3] Univ Estadual Campinas, Sch Med Sci, BR-13084971 Campinas, SP - Brazil
[4] Univ Estadual Campinas, Dept Farmacol, BR-13084971 Campinas, SP - Brazil
Total Affiliations: 4
Document type: Journal article
Source: APPLIED IMMUNOHISTOCHEMISTRY & MOLECULAR MORPHOLOGY; v. 20, n. 1, p. 91-95, JAN 2012.
Web of Science Citations: 1
Abstract

Objective: 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). Design: 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. Measurements: Microvessel density counts and CD34(+) endothelial areas manually and semiautomatically determined from TIFF images were compared with those from the other 4 groups. Results: 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. Conclusion: 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. (AU)

FAPESP's process: 09/13767-2 - Angiogenesis in ovarian epithelial tumours: influence of methodological variables on vascular quantitation
Grantee:André Almeida Schenka
Support type: Regular Research Grants