Upload
karina-llanos
View
223
Download
0
Embed Size (px)
Citation preview
7/28/2019 TABAR
1/3
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-basica7/28/2019 TABAR
2/3
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-birads7/28/2019 TABAR
3/3
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