Diagnostic Accuracy of Digital Mammography in Patients with Dense Breasts Who Underwent Problem-solving Mammography: Effects of Image Processing and Lesion Type

Cole, Elodia B.; Pisano, Etta D.; Kistner, Emily O.; Muller, Keith E.; Brown, Marylee E.; Feig, Stephen A.; Jong, Roberta A.; Maidment, Andrew D. A.; Staiger, Melinda J.; Kuzmiak, Cherie M.; Freimanis, Rita I.; Lesko, N. M.; Rosen, Eric L.; Walsh, Ruth; Williford, Margaret E.; Braeuning, M. Patricia

doi:10.1148/radiol.2261012024

Cited by 66 publications

(44 citation statements)

References 17 publications

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“…About 40% of eligible women who are recommended to have regular screening have dense breasts, which are composed of more than 50% glandular tissue and are among the major contributors to uncertain mammogram readings [38,39]. Thereby, one of the focuses of new screening devices is to enable better imaging visibility through different layers of breast.…”

Section: Digital Breast Tomosynthesis (Dbt)mentioning

confidence: 99%

Near-Field Radar Microwave Imaging as an Add-on Modality to Mammography

Ghanbarzadeh-Dagheyan¹,

Molaei²,

Obermeier³

et al. 2017

New Perspectives in Breast Imaging

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According to global statistics, there is a high incidence of cancer in western countries; and, due to the limited resources available in most health care systems, it seems like one of the most feasible options to fight against cancer might be strict prevention policiessuch as eliminating carcinogens in people's daily lives. Nevertheless, early cancer detection and effective treatment are still necessary, and understanding their efficacy and limitations are important issues that need to be addressed in order to ultimately enhance patients' survival rate. In the case of breast cancer, some of the problems faced by conventional mammography have been addressed in the literature; they include high rate of false-positive and false-negative results, as well as the possibility of overdiagnosis. New technologies, such as digital breast tomosynthesis (DBT), have been able to improve the sensitivity and specificity by using 3D imaging. However, the low contrast (1%) existing between tumors and healthy fibroglandular tissue at X-ray frequencies has been identified as one of the main causes of misdiagnosis in both conventional 2D mammography and DBT. Near-field radar imaging (NRI) provides a unique opportunity to overcome this problem, since the contrast existing between the aforementioned tissues is intrinsically higher (10%) at microwave frequencies. Moreover, the low resolution and highly complex scattering patterns of microwave systems can be enhanced by using prior information from other modalities, such as the DBT. Therefore, a multimodal DBT/NRI imaging system is proposed to exploit their individual strengths while minimizing their weaknesses. In this work, the foundation of this idea is reviewed, and a preliminary design and experimental validation of the NRI system, used as a DBT complement, is introduced.

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Section: Digital Breast Tomosynthesis (Dbt)mentioning

confidence: 99%

Near-Field Radar Microwave Imaging as an Add-on Modality to Mammography

Ghanbarzadeh-Dagheyan¹,

Molaei²,

Obermeier³

et al. 2017

New Perspectives in Breast Imaging

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Section: Computer-aided Detection and Diagnosis Of Breast Lesions In mentioning

confidence: 99%

“…Studies have shown that the performance of radiologists in interpreting breast lesions is highly dependent on lesion type (masses vs. MCs) even with the use of image post-processing techniques (Cole et al, 2003). Specifically, it has been shown that radiologist performance in MCs interpretation is reduced as compared to masses interpretation, independent of the post-processing method used (Cole et al, 2003). Furthermore, inter-and intra-observer variability is higher in MCs interpretation as compared to masses interpretation (Skaane et al, 2008), and is also similar to observer variability in SF mammography (Baker et al, 1996;Skaane et al, 2008).…”

Section: Computer-aided Detection and Diagnosis Of Breast Lesions In mentioning

confidence: 99%

Computerized Image Analysis of Mammographic Microcalcifications: Diagnosis and Prognosis

Karahaliou¹,

Arikidis²,

Skiadopoulos³

et al. 2012

Mammography - Recent Advances

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“…Mammography requires specific image processing for different reading purposes (screening vs. diagnosis) or different lesions (calcifications vs. masses) [27]. Evaluation of three different digital mammography systems showed that the radiologist's interpretation accuracy depends on lesion type (calcification vs. mass) in women with mammographically dense breasts.…”

Section: Image Processingmentioning

confidence: 99%

Digital mammography: current state and future aspects

Fischer¹,

Hermann

Baum³

2005

Eur Radiol

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The introduction of digital technique in mammography has been the last step in completing the process of digitalization in diagnostic imaging. Meanwhile, some different digital techniques as well as a couple of different digital mammography systems were developed and have already been available for some years. In this review article, the relevant data of key studies are reported, the current status is defined, and perspectives of digital mammography are described.

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Diagnostic Accuracy of Digital Mammography in Patients with Dense Breasts Who Underwent Problem-solving Mammography: Effects of Image Processing and Lesion Type

Abstract: Findings in this study indicate that radiologist's interpretation accuracy in interpreting digital mammograms depends on lesion type. Interpretation accuracy was not influenced by the image-processing method.

Cited by 66 publications

References 17 publications

Near-Field Radar Microwave Imaging as an Add-on Modality to Mammography

Near-Field Radar Microwave Imaging as an Add-on Modality to Mammography

Computerized Image Analysis of Mammographic Microcalcifications: Diagnosis and Prognosis

Digital mammography: current state and future aspects

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