Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/77018
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dc.contributor.authorAsenjo González, M.en_US
dc.contributor.authorAnía Lafuente, B. J.en_US
dc.contributor.authorSerrano Gotarredona, P.en_US
dc.contributor.authorGarcía Suárez, M.en_US
dc.date.accessioned2021-01-04T10:29:41Z-
dc.date.available2021-01-04T10:29:41Z-
dc.date.issued2003en_US
dc.identifier.issn1163-1961en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/77018-
dc.description.abstractTo analyze the relationship between breast size and mammographic pattern, considering the contribution of age, anthropometric data, and parity. After a preliminary concordance study of 300 mammograms, we analyzed 500 successive cases of asymptomatic women sent by their physicians to a Breast Diagnostic Imaging Unit. Patients with prior surgery or radiation of any breast were excluded. Height, weight, age, and parity were recorded for each woman. Every mammogram was assigned a mammographic pattern, and measurements were taken of the width, height, and anteroposterior diameter of mammograms without knowledge of the age or other characteristics of the case. A multiple linear regression of the estimated volume of the left breast was performed, including mammographic pattern, age, parity, weight, height, and body mass index (BMI) as dependent variables. Concordance in the assignment of mammographic patterns between two radiologists was excellent (weighed kappa being 0,83 and 0,86 for right and left breasts respectively). The 500 women studied had a mean age of 52,9 years (boundaries 32-81 years), an average of 2,6 children, and 28% of them had a BMI over 30 and thus could be considered obese. The estimated volumes for both breasts were slightly higher for the left breast, but the difference was not significant (P=0.12) in the paired t test. The variables that remained significant predictors for the volume of the left breast were weight, mammographic pattern, and BMI, with age falling outside significance (P=0.063). Autocorrelation and multicollinearity were rejected in this regression model. Breast volume increases significantly with increasing weight, BMI, and mammographic involution.en_US
dc.languageengen_US
dc.relation.ispartofSeinen_US
dc.sourceSein [ISSN 1163-1961], v. 13 (1), p. 13-21, 2003en_US
dc.subject320108 Ginecologíaen_US
dc.subject.otherAgeen_US
dc.subject.otherAnthropometryen_US
dc.subject.otherBreasten_US
dc.subject.otherMammographic patternen_US
dc.subject.otherSizeen_US
dc.subject.otherVolumeen_US
dc.titleBreast size and mammographic pattern in relation with age, height, weight, and parityen_US
dc.title.alternativeTaille du sein et aspect mammographique en fonction de l'âge, de la taille, du poids et de la paritéen_US
dc.title.alternativeTamaño de la mama y patrón mamográfico en relación con la edad, talla, peso y paridaden_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.scopus0037730099-
dc.contributor.authorscopusid6602364775-
dc.contributor.authorscopusid6601916532-
dc.contributor.authorscopusid57211119501-
dc.contributor.authorscopusid55287469800-
dc.description.lastpage21en_US
dc.identifier.issue1-
dc.description.firstpage13en_US
dc.relation.volume13en_US
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateMarzo 2003en_US
dc.identifier.ulpgcen_US
item.fulltextSin texto completo-
item.grantfulltextnone-
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