Literature DB >> 922658

Breast cancer mammography patterns.

R L Egan, R C Mosteller.   

Abstract

Mammography studies, from 1963 through 1972, on 5,918 women over age 30 years with 327 breast cancer on initial studies, were prospectively categorized on a scale of 1 to 4 of increasing amounts of fibroglandular tissue. Approximately 60% of the cancers occurred in classes 1 and 2 breasts, about one-third of the patients, while 40% of the cancer were in the remaining two-thirds, comprising classes 3 and 4. There were 54 cancers that developed in breast that previously were free of symptoms, clinical signs, and x-ray abnormality. Up to 36 months one cancer was found in class 1, while 26 cancers were detected in class 4 breasts; two cancers developed in class 2 and seven in class 3. Cancers developing 38 to 88 months after normal examination had an incidence of 0.23% in combined classes 1 and 2 and an incidence of 0.21% in classes 3 and 4. Dense fibroglandular tissue delays detection of breast cancer by mammography. Apparent increase in cancer risk in such breasts is due to this delay. More than a 3-year follow-up is required to assess the life history of breast cancer by mammography.

Entities:  

Mesh:

Year:  1977        PMID: 922658     DOI: 10.1002/1097-0142(197711)40:5<2087::aid-cncr2820400516>3.0.co;2-3

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  21 in total

1.  Interobserver agreement in breast radiological density attribution according to BI-RADS quantitative classification.

Authors:  D Bernardi; M Pellegrini; S Di Michele; P Tuttobene; C Fantò; M Valentini; M Gentilini; S Ciatto
Journal:  Radiol Med       Date:  2012-01-07       Impact factor: 3.469

2.  Mammographic breast density and risk of breast cancer: masking bias or causality?

Authors:  C H van Gils; J D Otten; A L Verbeek; J H Hendriks
Journal:  Eur J Epidemiol       Date:  1998-06       Impact factor: 8.082

Review 3.  A review of the influence of mammographic density on breast cancer clinical and pathological phenotype.

Authors:  Michael S Shawky; Cecilia W Huo; Kara Britt; Erik W Thompson; Michael A Henderson; Andrew Redfern
Journal:  Breast Cancer Res Treat       Date:  2019-06-08       Impact factor: 4.872

4.  Mammographic density: intersection of advocacy, science, and clinical practice.

Authors:  Katherine Tossas-Milligan; Sundus Shalabi; Veronica Jones; Patricia J Keely; Matthew W Conklin; Kevin W Elicerie; Robert Winn; Christopher Sistrunk; Joseph Geradts; Gustavo Miranda-Carboni; Eric C Dietze; Lisa D Yee; Victoria L Seewaldt
Journal:  Curr Breast Cancer Rep       Date:  2019-07-24

5.  Association of computerized mammographic parenchymal pattern measure with breast cancer risk: a pilot case-control study.

Authors:  Jun Wei; Heang-Ping Chan; Yi-Ta Wu; Chuan Zhou; Mark A Helvie; Alexander Tsodikov; Lubomir M Hadjiiski; Berkman Sahiner
Journal:  Radiology       Date:  2011-03-15       Impact factor: 11.105

6.  Role of equalisation mammography of dense breasts.

Authors:  D B Plewes; J M Sabol; I Soutar; A Chevrier; R Shumak
Journal:  Med Biol Eng Comput       Date:  1995-03       Impact factor: 2.602

7.  Bilateral breast cancer. Risk reduction by contralateral biopsy.

Authors:  H J Wanebo; G M Senofsky; R E Fechner; D Kaiser; S Lynn; J Paradies
Journal:  Ann Surg       Date:  1985-06       Impact factor: 12.969

8.  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 9.  Mammographic density, breast cancer risk and risk prediction.

Authors:  Celine M Vachon; Carla H van Gils; Thomas A Sellers; Karthik Ghosh; Sandhya Pruthi; Kathleen R Brandt; V Shane Pankratz
Journal:  Breast Cancer Res       Date:  2007       Impact factor: 6.466

10.  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

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