Literature DB >> 7073355

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

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.   

Abstract

The five-year screening experience for 10,131 asymptomatic women evaluated at the Louisville Breast Cancer Detection Demonstration Project (LBCDDP) disclosed 144 breast carcinomas in 1,209 patients (12%) aged 35 to 74 years in whom 904 biopsies and 305 aspirations were performed. This study included 44,711 high-quality xeromammograms (XM) prospectively classified by the modified Wolfe mammographic parenchymal patterns into low-risk (N(1), P(1)) versus high-risk (P(2), DY) groups, with expansion of the P(2) cohort into three additional categories. Using BMDP computer-program analysis, each XM pattern was collated with 21 nonneoplastic and 18 malignant pathologic variables and commonly associated risk factors. A separate analysis of epithelial proliferative and nonproliferative fibrocystic disease of the breast (FCDB) was performed. The histopathology for each biopsy, with distinction of FCDB and neoplasms, was analyzed with regard to the statistical probability of influencing the XM pattern. An average of 1.05 biopsies per patient were performed in women with findings suggestive of carcinoma at clinical and/or XM examinations. An equal distribution of the N(1), P(1), and P(2) DYXM patterns was observed in the 10,131 screenees. Of 8.5% of the screened population having biopsies, 623 were observed to have nonproliferative FCDB and 137, proliferative FCDB. For women 50 years of age or younger, these pathologic variables were seen more frequently in the P(2) DY patterns (p < 0.001), whereas no difference in XM pattern distribution was observed for the screenee 50 years of age or older for proliferative FCDB (p = 0.65). Sixteen percent of the biopsied/aspirated lesions were carcinomas, yielding a biopsy/cancer ratio of 6.25:1. These in situ and invasive neoplasms were more commonly (p < 0.04) observed in 55% of the P(2) (P(2f), P(2n), P(2c)) categories, while 64% of all cancers appeared more frequently in the P(2) DY subgroup (p <0.001), compared with this pattern in the screened population. An equal distribution frequency of the XM classification existed for screenees 50 years of age or older with cancer (p = 0.50), while screenees 35-49 years of age were more often observed to have the high-risk P(2), DY patterns (p <0.001). Analysis of 1,759 histologic characteristics in biopsies of 863 patients with FCDB revealed ductal and lobular hyperplastic lesions, sclerosing adenosis, or epithelial cyst(s) to be the major constituents of 64-69% of the high-risk P(2) (P(2f), P(2n), P(2c)) image (p < 0.001). These data suggest that XM parenchymal patterns observed in asymptomatic screenees incompletely correlate with known pathologic variables and risk factors. Additionally, benefit for recognition of these preinvasive proliferative pathologic factors and carcinomas appears restricted to the younger screenee. The clinical integration of these risk factors with XM patterns may allow preselection of patients deserving of frequent follow-up for breast cancer; however, these data do not support the contention that Wolfe XM patterns are predictors for screening strategies or that they decisively enhance patient management.

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Year:  1982        PMID: 7073355      PMCID: PMC1352563          DOI: 10.1097/00000658-198205000-00007

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  26 in total

1.  Preneoplastic lesions in the human breast.

Authors:  H M Jensen; J R Rice; S R Wellings
Journal:  Science       Date:  1976-01-23       Impact factor: 47.728

2.  An atlas of subgross pathology of the human breast with special reference to possible precancerous lesions.

Authors:  S R Wellings; H M Jensen; R G Marcum
Journal:  J Natl Cancer Inst       Date:  1975-08       Impact factor: 13.506

3.  Chronic mastopathy and breast cancer. A follow-up study.

Authors:  D Kodlin; E E Winger; N L Morgenstern; U Chen
Journal:  Cancer       Date:  1977-06       Impact factor: 6.860

4.  On the origin and progression of ductal carcinoma in the human breast.

Authors:  S R Wellings; H M Jensen
Journal:  J Natl Cancer Inst       Date:  1973-05       Impact factor: 13.506

5.  Association of atypical characteristics of benign breast lesions with subsequent risk of breast cancer.

Authors:  M M Black; T H Barclay; S J Cutler; B F Hankey; A J Asire
Journal:  Cancer       Date:  1972-02       Impact factor: 6.860

6.  Breast patterns as an index of risk for developing breast cancer.

Authors:  J N Wolfe
Journal:  AJR Am J Roentgenol       Date:  1976-06       Impact factor: 3.959

7.  The pathology of invasive breast cancer. A syllabus derived from findings of the National Surgical Adjuvant Breast Project (protocol no. 4).

Authors:  E R Fisher; R M Gregorio; B Fisher; C Redmond; F Vellios; S C Sommers
Journal:  Cancer       Date:  1975-07       Impact factor: 6.860

8.  Risk for breast cancer development determined by mammographic parenchymal pattern.

Authors:  J N Wolfe
Journal:  Cancer       Date:  1976-05       Impact factor: 6.860

9.  Chronic mastitis and carcinoma of the breast.

Authors:  R R Monson; S Yen; B MacMahon
Journal:  Lancet       Date:  1976-07-31       Impact factor: 79.321

10.  Benign breast lesions and subsequent breast carcinoma in Rochester, Minnesota.

Authors:  P K Donnelly; K W Baker; J A Carney; W M O'Fallon
Journal:  Mayo Clin Proc       Date:  1975-11       Impact factor: 7.616

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  4 in total

1.  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

2.  High mammographic density is associated with an increase in stromal collagen and immune cells within the mammary epithelium.

Authors:  Cecilia W Huo; Grace Chew; Prue Hill; Dexing Huang; Wendy Ingman; Leigh Hodson; Kristy A Brown; Astrid Magenau; Amr H Allam; Ewan McGhee; Paul Timpson; Michael A Henderson; Erik W Thompson; Kara Britt
Journal:  Breast Cancer Res       Date:  2015-06-04       Impact factor: 6.466

3.  The origins of breast cancer associated with mammographic density: a testable biological hypothesis.

Authors:  Norman Boyd; Hal Berman; Jie Zhu; Lisa J Martin; Martin J Yaffe; Sofia Chavez; Greg Stanisz; Greg Hislop; Anna M Chiarelli; Salomon Minkin; Andrew D Paterson
Journal:  Breast Cancer Res       Date:  2018-03-07       Impact factor: 6.466

4.  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

  4 in total

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