Literature DB >> 2678242

Breast masses: mammographic evaluation.

E A Sickles1.   

Abstract

The systematic mammographic evaluation of a breast mass involves independent assessments of its size, location, density, shape, clarity of margins, and interval change from prior examination. Additional fine-detail mammograms should be obtained to facilitate this analysis, especially when an equivocal interpretation is planned. Definitively benign masses (those localized to the skin, of fat density, or of mixed density) will not require more attention. Among the remaining water-density lesions, those that have an even slightly stellate appearance should be considered suspicious for malignancy; virtually all of them will undergo biopsy. Well-circumscribed masses should next be evaluated by aspiration or US examination to establish or exclude the diagnosis of simple benign cyst. Only solid and indeterminate lesions will require further evaluation, with the ultimate decision for biopsy versus mammographic follow-up depending on the probability of malignancy determined by the combination of mammographic and physical findings as well as pertinent data from the medical history.

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Mesh:

Year:  1989        PMID: 2678242     DOI: 10.1148/radiology.173.2.2678242

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


  7 in total

Review 1.  Recent developments in breast-conserving surgery for breast cancer patients.

Authors:  F Fitzal; O Riedl; R Jakesz
Journal:  Langenbecks Arch Surg       Date:  2008-09-10       Impact factor: 3.445

2.  Quantitative differentiation of benign and malignant mammographic circumscribed masses using intensity histograms.

Authors:  Tomoyuki Ohta; Norio Nakata; Makiko Nishioka; Takao Igarashi; Kunihiko Fukuda
Journal:  Jpn J Radiol       Date:  2015-07-25       Impact factor: 2.374

3.  Molecular imaging of water binding state and diffusion in breast cancer using diffuse optical spectroscopy and diffusion weighted MRI.

Authors:  So Hyun Chung; Hon Yu; Min-Ying Su; Albert E Cerussi; Bruce J Tromberg
Journal:  J Biomed Opt       Date:  2012-07       Impact factor: 3.170

4.  Computerized detection of masses in digital mammograms: investigation of feature-analysis techniques.

Authors:  F F Yin; M L Giger; K Doi; C J Vyborny; R A Schmidt
Journal:  J Digit Imaging       Date:  1994-02       Impact factor: 4.056

5.  Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model.

Authors:  Maxine Tan; Jiantao Pu; Bin Zheng
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-03-25       Impact factor: 2.924

6.  Accuracy of (99m)Tc-sestamibi scintimammography for breast cancer diagnosis.

Authors:  Sonia Marta Moriguchi; Laurival Antônio DE Luca; Beatriz Lotufo Griva; Kátia Hiromoto Koga; Eduardo Tinois DA Silva; Heloisa DE Luca Vespoli; Gilberto Uemura
Journal:  Exp Ther Med       Date:  2010-01-01       Impact factor: 2.447

Review 7.  BI-RADS 3: Current and Future Use of Probably Benign.

Authors:  Karen A Lee; Nishi Talati; Rebecca Oudsema; Sharon Steinberger; Laurie R Margolies
Journal:  Curr Radiol Rep       Date:  2018-01-27
  7 in total

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