TABAR

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    AUTORES :

    Lszl Tabr, MD, es Profesor de Radiologa en la Universidad de Uppsala yjefe del Departamento de

    Mamografa en el Hospital Central Faln, Faln, Suecia.

    Tibor Tot, MD, es Profesor Asociado de Patologa en la Universidad de Uppsala y Presidente delDepartamento de Patologa y Citologa Clnica de la Universidad de Uppsala, Hospital Central, Faln,

    Suecia.Peter B. Dean, MD, es Profesor en el Departamento de Radiologa Diagnstica en la Universidad de

    Turku, Finlandia, y fue anteriormente Profesor Visitante en el Brigham and Women's Hospital, Hospital

    Mdico de Harvard, Boston, MA, EUA.

    CARACTERISTICAS

    Los internacionalmente conocidos imagenlogos Lszl Tabr y Peter B. Dean, y el eminente patlogo de

    la mama Tibor Tot, condensan dcadas de experiencia en este nuevo volumen que cubre las msfrecuentes calcificaciones de tipo maligno que ocurren: las calcificaciones de tipo piedra triturada

    pleomrficas.

    El libro presenta un enfoque sistemtico, utilizando las caractersticas mamogrficas para distinguir los

    diferentes subtipos de enfermedad de mama que se originan dentro de la unidad terminal del lbulo ductal

    (UTLD).Ms de 800 imgenes muestran los hallazgos anormales con magnfica claridad, ofreciendo unareferencia visual vanguardista para interpretar las mamografas de un grupo clnico de observaciones.

    http://www.slideshare.net/selabg/mamografia-basica

    Parenchymal patterns in breast imagingDr Yuranga WeerakkodyandStefano Pacificiet al.

    Mammographic densityis considered a risk factor for breast cancer, and its important in the way in which

    it affects mammographic screening sensitivity. Women with high-risk density patternsshould be screened

    more frequently and / or with additional views per breast. Pioneers in classification of density was

    Leborgne in 1953 and Wolfe in 1967, which described an increased risk of breast cancer in

    radiographically dense breast, but the first qualitative classification of mammographic density patterns was

    described by Wolfe in 1976.

    Wolfe Classification

    Wolfe assign the mammograms to four parenchymal patterns (N1, P1, P2 and DY) according to the

    distribution of fat and the prominence of the ducts:

    N1 : the breast consists mainly of fat (N=normal), corresponding to ACR 1 (lower risk for breastcancer)

    P1 : this pattern includes fat as well as linear densities (enlarged ducts) occupying no more than25% of the breast, corresponding to ACR 2 (low risk for breast cancer)

    P2 : linear denisities (from enlarged ducts) occupying more than 25% of the breast. They areprominently in the upper outer quadrant but may be distributed throughout the breast (P=prominent

    ducts), corresponding to ACR3 (high risk for breast cancer)

    Dy : dense, radiopaque breast (Dy=dysplasia) corresponding to ACR4 (highest risk for breastcancer) ; these patterns are again subdivided into low-risk (N1 and P1) and high-risk (P2 and DY)

    patterns.

    A fifth category has been later added by Wolfe to this four:

    Qdy (quasi-dysplasia) : this group consists of young women whose dense breast have a somewhatspongy texture due to fatty infiltration

    http://www.slideshare.net/selabg/mamografia-basicahttp://www.slideshare.net/selabg/mamografia-basicahttp://radiopaedia.org/users/weer06http://radiopaedia.org/users/weer06http://radiopaedia.org/users/spacificihttp://radiopaedia.org/users/spacificihttp://radiopaedia.org/users/spacificihttp://radiopaedia.org/articles/breast-densityhttp://radiopaedia.org/articles/breast-densityhttp://radiopaedia.org/articles/breast-densityhttp://radiopaedia.org/users/spacificihttp://radiopaedia.org/users/weer06http://www.slideshare.net/selabg/mamografia-basica
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    Boyd Classification

    An alternative, quantitative method proposed by Boyd and collegues (1980) was based on

    mammographic density percentage given by radiologists and divided into six categories of unequal

    intervals

    A : 0% B : > 0 - 10% C : > 10 - 25% D : > 25 - 50% E : > 50 - 75% F : > 75%

    This method has been updated in 1995 with computer-assisted technique measuring.

    BI-RADS Classification of density

    TheBI-RADSsystem too is a quantitative method proposed by the American College of Radiology (2000)

    and used in clinical radiology practice in the USA .BI-RADS classification is a modification of Wolfes

    classification, and is defined using percentages of density divided into quartiles:

    type 1 : extremely fat type 2 : minimal density type 3 : heterogeneous density type 4 : extremely dense

    Tabar Classification

    Tabr (1997) classifies the mammograms in five patterns (I to V) based on an histologic-mammographic

    correlation with a three-dimensional, subgross (thick-slice) technique, and on the relative proportion of four

    building blocks (nodular denisties, linear densities, homogeneous fibrous tissue, radiolucent fat tissue):

    I : balanced proportion of all components of breast tissue with a slight predominance offibrous tissue

    II : predominance of fat tissue (fat breast) III : predominance of fat tissue with retroareolar residual fibrous tissue IV : predominantly nodular densities V : predominantly fibrous tissue (dense breast)

    Patterns I, II and III are considered low-risk; patterns IV and V high-risk.

    It is important to considere that some therapies may alter the pattern by increasing

    parenchymal density, as in hormone replacement therapy (HRT), or reducing it as in therapies

    with selective estrogen-receptor modulators (SERM).

    References

    Synonyms & Alternative Spellings

    http://radiopaedia.org/articles/breast-imaging-reporting-and-data-system-biradshttp://radiopaedia.org/articles/breast-imaging-reporting-and-data-system-biradshttp://radiopaedia.org/articles/breast-imaging-reporting-and-data-system-biradshttp://radiopaedia.org/articles/breast-imaging-reporting-and-data-system-birads
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    http://www.sciencedirect.com/science/article/pii/S0720048X96011382

    http://www.ncbi.nlm.nih.gov/pubmed/9097055

    http://jama.jamanetwork.com/article.aspx?articleid=366359

    http://mingaonline.uach.cl/scielo.php?pid=S0718-28642004000100017&script=sci_arttext

    http://www.sciencedirect.com/science/article/pii/S0720048X96011382http://www.sciencedirect.com/science/article/pii/S0720048X96011382http://www.ncbi.nlm.nih.gov/pubmed/9097055http://www.ncbi.nlm.nih.gov/pubmed/9097055http://jama.jamanetwork.com/article.aspx?articleid=366359http://jama.jamanetwork.com/article.aspx?articleid=366359http://mingaonline.uach.cl/scielo.php?pid=S0718-28642004000100017&script=sci_arttexthttp://mingaonline.uach.cl/scielo.php?pid=S0718-28642004000100017&script=sci_arttexthttp://mingaonline.uach.cl/scielo.php?pid=S0718-28642004000100017&script=sci_arttexthttp://jama.jamanetwork.com/article.aspx?articleid=366359http://www.ncbi.nlm.nih.gov/pubmed/9097055http://www.sciencedirect.com/science/article/pii/S0720048X96011382