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1.
Biomed Eng Online ; 14 Suppl 2: S2, 2015.
Article in English | MEDLINE | ID: mdl-26329009

ABSTRACT

BACKGROUND: Digital image (DI) analysis avoids visual subjectivity in interpreting immunohistochemical stains and provides more reproducible results. An automated procedure consisting of two variant methods for quantifying the cytokeratin-19 (CK19) marker in breast cancer tissues is presented. METHODS: The first method (A) excludes the holes inside selected CK19 stained areas, and the second (B) includes them. 93 DIs scanned from complete cylinders of tissue microarrays were evaluated visually by two pathologists and by the automated procedures. RESULTS AND CONCLUSIONS: There was good concordance between the two automated methods, both of which tended to identify a smaller CK19-positive area than did the pathologists. The results obtained with method B were more similar to those of the pathologists; probably because it takes into account the entire positive tumoural area, including the holes. However, the pathologists overestimated the positive area of CK19. Further studies are needed to confirm the utility of this automated procedure in prognostic studies.


Subject(s)
Breast Neoplasms/metabolism , Breast Neoplasms/pathology , Keratin-19/metabolism , Tissue Array Analysis/methods , Automation , Biomarkers, Tumor/metabolism , Humans , Image Processing, Computer-Assisted , Observer Variation
2.
J Obes ; 2012: 287939, 2012.
Article in English | MEDLINE | ID: mdl-22900151

ABSTRACT

Although obesity is a well-established cardiovascular risk factor, some controversy has arisen with regard to its effect on hospital mortality in patients admitted for acute coronary syndrome. Methods. Clinical and anthropometric variables were analyzed in patients consecutively admitted for acute coronary syndrome to a university hospital between 2009 and 2010, and the correlation of those variables with hospital mortality was examined. Results. A total of 824 patients with a diagnosis of myocardial infarction or unstable angina were analyzed. Body mass index was an independent factor in hospital mortality (odds ratio 0.739 (IC 95%: 0.597 - 0.916), P = 0.006). Mortality in normal weight (n = 218), overweight (n = 399), and obese (n = 172) subjects was 6.1%, 3.1%, and 4.1%, respectively, with no statistically significant differences between the groups. Conclusions. There is something of a paradox in the relationship between body mass index and hospital mortality in patients with acute coronary syndrome in that the mortality rate decreases as body mass index increases. However, no statistically significant differences have been found in normal weight, overweight, or obese subjects.

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