Literature DB >> 3485337

Mammographic features of 300 consecutive nonpalpable breast cancers.

E A Sickles.   

Abstract

The mammographic presentations of 300 consecutive nonpalpable breast cancers were analyzed to more clearly define the spectrum of radiographic signs needed to detect cancer at such an early stage. Clustered calcifications were the primary mammographic abnormality in 42% of cases, but only 23% demonstrated the rod, curvilinear, and branching shapes that are characteristic of malignancy. Of the 300 cancers, 39% presented as dominant masses, but only 16% showed spiculated or knobby margins typical of carcinoma. Almost 20% of the cancers were detected primarily by "indirect" mammographic signs of malignancy, such as focal architectural distortion, asymmetry, single dilated duct, and the developing density sign. To take full advantage of the capabilities of mammography, radiologists must search diligently not only for for the classic mammographic features of malignancy but especially for the more subtle and "indirect" signs that are less specific in predicting the presence of cancer.

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Year:  1986        PMID: 3485337     DOI: 10.2214/ajr.146.4.661

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  27 in total

1.  Computerized segmentation method for individual calcifications within clustered microcalcifications while maintaining their shapes on magnification mammograms.

Authors:  Akiyoshi Hizukuri; Ryohei Nakayama; Nobuo Nakako; Hiroharu Kawanaka; Haruhiko Takase; Koji Yamamoto; Shinji Tsuruoka
Journal:  J Digit Imaging       Date:  2012-06       Impact factor: 4.056

2.  Individualized computer-aided education in mammography based on user modeling: concept and preliminary experiments.

Authors:  Maciej A Mazurowski; Jay A Baker; Huiman X Barnhart; Georgia D Tourassi
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

3.  [Comparison of dignity determination of mammographic microcalcification with two systems for digital full-field mammography with different detector resolution: a retrospective clinical study].

Authors:  R Schulz-Wendtland; K-P Hermann; B Adamietz; M Meier-Meitinger; E Wenkel; M Lell; K Anders; M Uder
Journal:  Radiologe       Date:  2011-02       Impact factor: 0.635

4.  Experience with indeterminate mammograms.

Authors:  P De Neef; J Gandara
Journal:  West J Med       Date:  1991-01

5.  Gabor filters and phase portraits for the detection of architectural distortion in mammograms.

Authors:  Rangaraj M Rangayyan; Fábio J Ayres
Journal:  Med Biol Eng Comput       Date:  2006-08-11       Impact factor: 2.602

6.  Screen-film mammography and soft-copy full-field digital mammography: comparison in the patients with microcalcifications.

Authors:  Hye Seong Kim; Boo Kyung Han; Ki Seok Choo; Yong Hwan Jeon; Jung Han Kim; Yeon Hyeon Choe
Journal:  Korean J Radiol       Date:  2005 Oct-Dec       Impact factor: 3.500

7.  Characterization and classification of tumor lesions using computerized fractal-based texture analysis and support vector machines in digital mammograms.

Authors:  Qi Guo; Jiaqing Shao; Virginie F Ruiz
Journal:  Int J Comput Assist Radiol Surg       Date:  2008-10-28       Impact factor: 2.924

8.  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

9.  Measures of divergence of oriented patterns for the detection of architectural distortion in prior mammograms.

Authors:  Rangaraj M Rangayyan; Shantanu Banik; Jayasree Chakraborty; Sudipta Mukhopadhyay; J E Leo Desautels
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-09-30       Impact factor: 2.924

10.  Mammographic features and histopathological findings of interval breast cancers.

Authors:  S Hofvind; B Geller; P Skaane
Journal:  Acta Radiol       Date:  2008-11       Impact factor: 1.990

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