Image Compression Impact On Quantitative Angiogenesis Analysis Of Ovarian Epithelial Neoplasms

dc.creatorNicolosi J.S.
dc.creatorYoshida A.O.
dc.creatorSarian L.O.Z.
dc.creatorSilva C.A.M.
dc.creatorAndrade L.A.L.A.
dc.creatorDerchain S.F.M.
dc.creatorVassallo J.
dc.creatorSchenka A.A.
dc.date2012
dc.date2015-06-25T20:23:28Z
dc.date2015-11-26T15:18:52Z
dc.date2015-06-25T20:23:28Z
dc.date2015-11-26T15:18:52Z
dc.date.accessioned2018-03-28T22:28:28Z
dc.date.available2018-03-28T22:28:28Z
dc.identifier
dc.identifierApplied Immunohistochemistry And Molecular Morphology. , v. 20, n. 1, p. 91 - 95, 2012.
dc.identifier15412016
dc.identifier10.1097/PAI.0b013e31821c501a
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-83655167318&partnerID=40&md5=fb62eecf3fcfdeec8f39766044be3efc
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/90042
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/90042
dc.identifier2-s2.0-83655167318
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1259635
dc.descriptionObjective: 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. © 2011 by Lippincott Williams & Wilkins.
dc.description20
dc.description1
dc.description91
dc.description95
dc.descriptionGreen, H.S.N., Heterologous transplantation of mammalian tumours. The transfer of human tumours to alien species (1941) J Exp Med, 73, pp. 461-468
dc.descriptionFolkman, J., Tumor angiogenesis: Therapeutic implications (1971) N Engl J Med, 285, pp. 1182-1186
dc.descriptionFolkman, J., Anti-angiogenesis: New concept for therapy of solid tumors (1972) Ann Surg, 175, pp. 409-416
dc.descriptionFolkman, J., What is the evidence that tumors are angiogenesis dependent? (1990) Journal of the National Cancer Institute, 82 (1), pp. 4-6
dc.descriptionFolkman, J., Angiogenesis in cancer, vascular, rheumatoid and other disease (1995) Nat Med, 1, pp. 27-31
dc.descriptionKrebel, R.S., Tumour angiogenesis: Past, present and the near future (2000) Carcinogenesis, 21, pp. 505-515
dc.descriptionSharma, R.A., Harris, A.L., Dalgleish, A.G., Angiogenesis as a biomarker and target in cancer chemoprevention (2001) Lancet Oncol, 2, pp. 726-731
dc.descriptionFolkman, J., Shing, Y., Angiogenesis (1992) J Biol Chem, 267, pp. 10931-10934
dc.descriptionRisau, W., Differentiation of endothelium (1995) FASEB J, 9, pp. 926-933
dc.descriptionRoland, D., Ferder, M., Kothuru, R., Faierman, T., Strauch, B., Effects of pulsed magnetic energy on a microsurgically transferred vessel (2000) Plastic and Reconstructive Surgery, 105 (4), pp. 1371-1374
dc.descriptionSchoell, W.M.J., Pieber, D., Reich, O., Lahousen, M., Janicek, M., Guecer, F., Winter, R., Tumor angiogenesis as a prognostic factor in ovarian carcinoma: Quantification of endothelial immunoreactivity by image analysis (1997) Cancer, 80 (12), pp. 2257-2262. , DOI 10.1002/(SICI)1097-0142(19971215)80:12<2257::AID-CNCR6>3.0. CO;2-R
dc.descriptionHasan, J., Byers, R., Jayson, G.C., Intra-tumoural microvessel density in human solid tumours (2002) British Journal of Cancer, 86 (10), pp. 1566-1577. , DOI 10.1038/sj.bjc.6600315
dc.descriptionLópez, C.L., Effects of image compression on automatic count of immunohistochemically stained nuclei in digital images (2008) J Am Med Inform Assoc, 15, pp. 794-798
dc.descriptionTengowski, M.W., Image Compression in Morphometry Studies Requiring 21 CFR Part 11 Compliance: Procedure Is Key with TIFFs and Various JPEG Compression Strengths (2004) Toxicologic Pathology, 32 (2), pp. 258-263. , DOI 10.1080/01926230490274399
dc.descriptionLandis, J.R., Koch, G.G., The measurement of observer agreement for categorical data (1977) Biometrics, 33 (1), pp. 159-174
dc.descriptionMontgomery, D.C., Peck, E.A., (1982) Introduction to Linear Regression Analysis, , New York: John Wiley and Sons Inc
dc.languageen
dc.publisher
dc.relationApplied Immunohistochemistry and Molecular Morphology
dc.rightsfechado
dc.sourceScopus
dc.titleImage Compression Impact On Quantitative Angiogenesis Analysis Of Ovarian Epithelial Neoplasms
dc.typeArtículos de revistas


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