Literature DB >> 7352202

Mammographic patterns as markers for high-risk benign breast disease and incident cancers.

M Moskowitz, P Gartside, C McLaughlin.   

Abstract

A study was done to determine whether the risk of cancer development can be calculated through the use of mammographic patterns. Hyperplasia, bland fibrocystic disease, and incident cancers were correlated with Wolfe's mammographic classification scheme. Intraobserver and interobserver consistency were measured in the 8,033 classified mammograms. Maximum observer agreement was achieved by combining high-risk and low-risk categories. The data presented do not support the contention that diffuse mammographic patterns are useful predictors for determining strategies of screening or patient management; large-scale studies are needed before mammographic classification is adopted.

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Year:  1980        PMID: 7352202     DOI: 10.1148/radiology.134.2.7352202

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  8 in total

1.  Hyperplasia and breast cancer.

Authors:  R A Bright
Journal:  Cancer Causes Control       Date:  1993-05       Impact factor: 2.506

2.  Tissue composition of mammographically dense and non-dense breast tissue.

Authors:  Karthik Ghosh; Kathleen R Brandt; Carol Reynolds; Christopher G Scott; V S Pankratz; Darren L Riehle; Wilma L Lingle; Tonye Odogwu; Derek C Radisky; Daniel W Visscher; James N Ingle; Lynn C Hartmann; Celine M Vachon
Journal:  Breast Cancer Res Treat       Date:  2011-08-30       Impact factor: 4.872

3.  Evaluation of mammographic density patterns: reproducibility and concordance among scales.

Authors:  Macarena Garrido-Estepa; Francisco Ruiz-Perales; Josefa Miranda; Nieves Ascunce; Isabel González-Román; Carmen Sánchez-Contador; Carmen Santamariña; Pilar Moreo; Carmen Vidal; Mercé Peris; María P Moreno; Jose A Váquez-Carrete; Francisca Collado-García; Francisco Casanova; María Ederra; Dolores Salas; Marina Pollán
Journal:  BMC Cancer       Date:  2010-09-13       Impact factor: 4.430

4.  A clinicopathologic correlation of mammographic parenchymal patterns and associated risk factors for human mammary carcinoma.

Authors:  K I Bland; J G Kuhns; J B Buchanan; P A Dwyer; L F Heuser; C A O'Connor; L A Gray; H C Polk
Journal:  Ann Surg       Date:  1982-05       Impact factor: 12.969

Review 5.  Qualitative Versus Quantitative Mammographic Breast Density Assessment: Applications for the US and Abroad.

Authors:  Stamatia Destounis; Andrea Arieno; Renee Morgan; Christina Roberts; Ariane Chan
Journal:  Diagnostics (Basel)       Date:  2017-05-31

Review 6.  An overview of mammographic density and its association with breast cancer.

Authors:  Shayan Shaghayeq Nazari; Pinku Mukherjee
Journal:  Breast Cancer       Date:  2018-04-12       Impact factor: 4.239

7.  Mammographic density does not correlate with Ki-67 expression or cytomorphology in benign breast cells obtained by random periareolar fine needle aspiration from women at high risk for breast cancer.

Authors:  Qamar J Khan; Bruce F Kimler; Anne P O'Dea; Carola M Zalles; Priyanka Sharma; Carol J Fabian
Journal:  Breast Cancer Res       Date:  2007       Impact factor: 6.466

8.  Bias and the association of mammographic parenchymal patterns with breast cancer.

Authors:  N F Boyd; B O'Sullivan; J E Campbell; E Fishell; I Simor; G Cooke; T Germanson
Journal:  Br J Cancer       Date:  1982-02       Impact factor: 7.640

  8 in total

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