Literature DB >> 26835493

Model predictions for the wide-angle x-ray scatter signals of healthy and malignant breast duct biopsies.

Robert J LeClair1, Andrew Ferreira2, Nancy McDonald2, Curtis Laamanen2, Robert Y Tang2.   

Abstract

Wide-angle x-ray scatter (WAXS) could potentially be used to diagnose ductal carcinoma in situ (DCIS) in breast biopsies. The regions of interest were assumed to consist of fibroglandular tissue and epithelial cells and the model assumed that biopsies with DCIS would have a higher concentration of the latter. The scattered number of photons from a 2-mm diameter column of tissue was simulated using a 110-kV beam and selectively added in terms of momentum transfer. For a 1-min exposure, specificities and sensitivities of unity were obtained for biopsies 2- to 20-mm thick. The impact of sample and tumor cell layer thicknesses was studied. For example, a biopsy erroneously estimated to be 8 mm would be correctly diagnosed if its actual thickness was between 7.3 and 8.7 mm. An 8-mm thick malignant biopsy can be correctly diagnosed provided the malignant cell layer thickness is [Formula: see text]. WAXS methods could become a diagnostic tool for DCIS within breast biopsies.

Entities:  

Keywords:  breast duct biopsies; differential linear scattering coefficients; ductal carcinoma in situ; energy dispersive photon counting detectors; epithelial cells; wide-angle x-ray scatter

Year:  2015        PMID: 26835493      PMCID: PMC4718198          DOI: 10.1117/1.JMI.2.4.043502

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


  45 in total

1.  X-ray scattering from human breast tissues and breast-equivalent materials.

Authors:  M E Poletti; D Gonçalves; I Mazzaro
Journal:  Phys Med Biol       Date:  2002-01-07       Impact factor: 3.609

2.  The optimization of an energy-dispersive X-ray diffraction system for potential clinical application.

Authors:  A Chaparian; M A Oghabian; V Changizi; M J Farquharson
Journal:  Appl Radiat Isot       Date:  2010-07-18       Impact factor: 1.513

3.  The quantitative potential for breast tomosynthesis imaging.

Authors:  Christina M Shafer; Ehsan Samei; Joseph Y Lo
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

4.  Reproducibility of histological diagnosis of breast lesions: results of a panel in Italy.

Authors:  D Palli; M Galli; S Bianchi; G Bussolati; S Di Palma; V Eusebi; M Gambacorta; M Rosselli Del Turco
Journal:  Eur J Cancer       Date:  1996-04       Impact factor: 9.162

5.  Diagnosing breast cancer by using Raman spectroscopy.

Authors:  Abigail S Haka; Karen E Shafer-Peltier; Maryann Fitzmaurice; Joseph Crowe; Ramachandra R Dasari; Michael S Feld
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-22       Impact factor: 11.205

6.  Mapping structural changes in breast tissue disease using x-ray scattering.

Authors:  Sabeena Sidhu; Karen K W Siu; Gregory Falzon; Stewart A Hart; Jane G Foxe; Robert A Lewis
Journal:  Med Phys       Date:  2009-07       Impact factor: 4.071

7.  X-ray characterisation of normal and neoplastic breast tissues.

Authors:  P C Johns; M J Yaffe
Journal:  Phys Med Biol       Date:  1987-06       Impact factor: 3.609

8.  Diagnosing breast cancer using Raman spectroscopy: prospective analysis.

Authors:  Abigail S Haka; Zoya Volynskaya; Joseph A Gardecki; Jon Nazemi; Robert Shenk; Nancy Wang; Ramachandra R Dasari; Maryann Fitzmaurice; Michael S Feld
Journal:  J Biomed Opt       Date:  2009 Sep-Oct       Impact factor: 3.170

Review 9.  Breast cancer prognostic classification in the molecular era: the role of histological grade.

Authors:  Emad A Rakha; Jorge S Reis-Filho; Frederick Baehner; David J Dabbs; Thomas Decker; Vincenzo Eusebi; Stephen B Fox; Shu Ichihara; Jocelyne Jacquemier; Sunil R Lakhani; José Palacios; Andrea L Richardson; Stuart J Schnitt; Fernando C Schmitt; Puay-Hoon Tan; Gary M Tse; Sunil Badve; Ian O Ellis
Journal:  Breast Cancer Res       Date:  2010-07-30       Impact factor: 6.466

10.  Application of small angle X-ray scattering (SAXS) for differentiation between normal and cancerous breast tissue.

Authors:  Vahid Changizi; Mohammad A Oghabian; Robert Speller; Saeed Sarkar; Ali Arab Kheradmand
Journal:  Int J Med Sci       Date:  2005-07-05       Impact factor: 3.738

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  2 in total

1.  Model predictions for the wide-angle x-ray scatter signals of healthy and malignant breast duct biopsies.

Authors:  Robert J LeClair; Andrew Ferreira; Nancy McDonald; Curtis Laamanen; Robert Y Tang
Journal:  J Med Imaging (Bellingham)       Date:  2015-10-23

2.  Application of machine learning classifiers to X-ray diffraction imaging with medically relevant phantoms.

Authors:  Stefan Stryker; Anuj J Kapadia; Joel A Greenberg
Journal:  Med Phys       Date:  2021-12-01       Impact factor: 4.071

  2 in total

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