Literature DB >> 2845470

Occult malignant breast lesions in 114 patients: relationship to age and the presence of microcalcifications.

G Hermann1, C Janus, I S Schwartz, A Papatestas, D G Hermann, J G Rabinowitz.   

Abstract

This study evaluates the mammographic findings in 352 patients, aged 30-85 years, who underwent spot localization and biopsy for evaluation of nonpalpable breast abnormalities. Malignancy was found at biopsy in 114 cases. The mammographic appearance (specifically, whether grouped microcalcifications, mass, or both were present) was correlated with patient age and histologic findings (specifically, whether the pathologic changes were infiltrating or noninfiltrating in nature). The prevalence of malignant conditions increased directly with age. The presence of grouped microcalcifications as the sole indicator of malignancy was seen in 100% (seven of seven) of the patients in the 30-39-year age group, 64% (18 of 28) in the 40-49-year age group, 37% (11 of 30) in the 50-59-year age group, 30% (seven of 23) in the 60-69-year age group, and 23% (six of 26) in the 70-85-year age group. Of the 49 tumors that were manifested solely as microcalcifications, 34 (69%) were noninfiltrating. The finding of grouped microcalcifications should be aggressively investigated, since it may indicate noninfiltrating carcinoma in an early stage, when the potential for cure is greatest.

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Year:  1988        PMID: 2845470     DOI: 10.1148/radiology.169.2.2845470

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


  7 in total

1.  Mammographic appearance of nonpalpable breast cancer reflects pathologic characteristics.

Authors:  Csaba Gajdos; Paul Ian Tartter; Ira J Bleiweiss; George Hermann; John de Csepel; Alison Estabrook; Alfred W Rademaker
Journal:  Ann Surg       Date:  2002-02       Impact factor: 12.969

2.  Automated detection of microcalcification clusters for digital breast tomosynthesis using projection data only: a preliminary study.

Authors:  I Reiser; R M Nishikawa; A V Edwards; D B Kopans; R A Schmidt; J Papaioannou; R H Moore
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

3.  Computer-aided detection of clustered microcalcifications on digital mammograms.

Authors:  R M Nishikawa; M L Giger; K Doi; C J Vyborny; R A Schmidt
Journal:  Med Biol Eng Comput       Date:  1995-03       Impact factor: 2.602

4.  Microcalcification detectability using a bench-top prototype photon-counting breast CT based on a Si strip detector.

Authors:  Hyo-Min Cho; Huanjun Ding; William C Barber; Jan S Iwanczyk; Sabee Molloi
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

5.  Clinical/genetic features in hereditary breast cancer.

Authors:  H T Lynch; P Watson; T A Conway; J F Lynch
Journal:  Breast Cancer Res Treat       Date:  1990-02       Impact factor: 4.872

6.  Positive predictive value of specific mammographic findings according to reader and patient variables.

Authors:  Aruna Venkatesan; Philip Chu; Karla Kerlikowske; Edward A Sickles; Rebecca Smith-Bindman
Journal:  Radiology       Date:  2009-01-21       Impact factor: 11.105

7.  Predicting invasive breast cancer versus DCIS in different age groups.

Authors:  Mehmet U S Ayvaci; Oguzhan Alagoz; Jagpreet Chhatwal; Alejandro Munoz del Rio; Edward A Sickles; Houssam Nassif; Karla Kerlikowske; Elizabeth S Burnside
Journal:  BMC Cancer       Date:  2014-08-11       Impact factor: 4.430

  7 in total

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