Literature DB >> 30891465

Classification of breast microcalcifications using dual-energy mammography.

Bahaa Ghammraoui1, Andrey Makeev1, Ahmed Zidan2, Alaadin Alayoubi2, Stephen J Glick1.   

Abstract

The potential of dual-energy mammography for microcalcification classification was investigated with simulation and phantom studies. Classification of type I/II calcifications was performed using the tissue attenuation ratio as a performance metric. The simulation and phantom studies were carried out using breast phantoms of 50% fibroglandular and 50% adipose tissue composition and thicknessess ranging from 3 to 6 cm. The phantoms included models of microcalcifications ranging in size between 200 and 900    μ m . The simulation study was carried out with fixed MGD of 1.5 mGy using various low- and high-kVp spectra, aluminum filtration thicknesses, and exposure distribution ratios to predict an optimized imaging protocol for the phantom study. Attenuation ratio values were calculated for microcalcification signals of different types at two different voltage settings. ROC analysis showed that classification performance as indicated by the area under the ROC curve was always greater than 0.95 for 1.5 mGy deposited mean glandular dose. This study provides encouraging first results in classifying malignant and benign microcalcifications based solely on dual-energy mammography images.

Entities:  

Keywords:  breast microcalcifications; dual-energy exposure acquisition; energy integrated detector; spectral mammography

Year:  2019        PMID: 30891465      PMCID: PMC6411940          DOI: 10.1117/1.JMI.6.1.013502

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  24 in total

1.  Normalized glandular dose (DgN) coefficients for arbitrary X-ray spectra in mammography: computer-fit values of Monte Carlo derived data.

Authors:  John M Boone
Journal:  Med Phys       Date:  2002-05       Impact factor: 4.071

2.  Clustering of breast microcalcifications: revisited.

Authors:  J M Park; H K Choi; S J Bae; M S Lee; S H Ahn; G Gong
Journal:  Clin Radiol       Date:  2000-02       Impact factor: 2.350

3.  Use of artificial neural networks (computer analysis) in the diagnosis of microcalcifications on mammography.

Authors:  C Markopoulos; E Kouskos; K Koufopoulos; V Kyriakou; J Gogas
Journal:  Eur J Radiol       Date:  2001-07       Impact factor: 3.528

4.  Calcium oxalate in breast lesions biopsied for calcification detected in screening mammography: incidence and clinical significance.

Authors:  L D Truong; J Cartwright; L Alpert
Journal:  Mod Pathol       Date:  1992-03       Impact factor: 7.842

5.  Size-adapted microcalcification segmentation in mammography utilizing scale-space signatures.

Authors:  Nikolaos S Arikidis; Anna Karahaliou; Spyros Skiadopoulos; Panayiotis Korfiatis; Eleni Likaki; George Panayiotakis; Lena Costaridou
Journal:  Comput Med Imaging Graph       Date:  2010-01-18       Impact factor: 4.790

6.  Breast microcalcifications: multivariate analysis of radiologic and clinical factors for carcinoma.

Authors:  Eric Fondrinier; Gérard Lorimier; Véronique Guerin-Boblet; Andrée-Françoise Bertrand; Claude Mayras; Nicolette Dauver
Journal:  World J Surg       Date:  2001-12-21       Impact factor: 3.352

Review 7.  Microcalcifications associated with breast cancer: an epiphenomenon or biologically significant feature of selected tumors?

Authors:  Maria P Morgan; Michelle M Cooke; Geraldine M McCarthy
Journal:  J Mammary Gland Biol Neoplasia       Date:  2005-04       Impact factor: 2.673

8.  Comparison of the x-ray attenuation properties of breast calcifications, aluminium, hydroxyapatite and calcium oxalate.

Authors:  L M Warren; A Mackenzie; D R Dance; K C Young
Journal:  Phys Med Biol       Date:  2013-03-08       Impact factor: 3.609

9.  Dual-energy digital mammography for calcification imaging: noise reduction techniques.

Authors:  S Cheenu Kappadath; Chris C Shaw
Journal:  Phys Med Biol       Date:  2008-09-02       Impact factor: 3.609

10.  Mammographic predictors of the presence and size of invasive carcinomas associated with malignant microcalcification lesions without a mass.

Authors:  Paul C Stomper; Joseph Geradts; Stephen B Edge; Ellis G Levine
Journal:  AJR Am J Roentgenol       Date:  2003-12       Impact factor: 3.959

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  1 in total

1.  Exploring CNN potential in discriminating benign and malignant calcifications in conventional and dual-energy FFDM: simulations and experimental observations.

Authors:  Andrey Makeev; Gabriela Rodal; Bahaa Ghammraoui; Andreu Badal; Stephen J Glick
Journal:  J Med Imaging (Bellingham)       Date:  2021-05-13
  1 in total

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