Dedicated Cone-beam Breast Computed Tomography and Diagnostic Mammography: Comparison of Radiation Dose, Patient Comfort, And Qualitative Review of Imaging Findings in BI-RADS 4 and 5 Lesions

O’Connell, Avice M; Kawakyu-O’Connor, Daniel

doi:10.4103/2156-7514.93274

Cited by 58 publications

(41 citation statements)

References 13 publications

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“…Not only has clinical research involving bCT grown 28,61 but the recent FDA approval of the Koning Breast CT system may further increase the availability of clinical cases. 62 Additionally, our group has demonstrated the ability to morph between models in order to create a much larger number of phantoms with user-defined anatomical characteristics. 25 A second limitation of this segmentation routine is the sensitivity of the algorithm to noise in the bCT data set.…”

Section: Discussionmentioning

confidence: 99%

Population of 224 realistic human subject-based computational breast phantoms

et al. 2015

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Purpose: To create a database of highly realistic and anatomically variable 3D virtual breast phantoms based on dedicated breast computed tomography (bCT) data. Methods: A tissue classification and segmentation algorithm was used to create realistic and detailed 3D computational breast phantoms based on 230+ dedicated bCT datasets from normal human subjects. The breast volume was identified using a coarse three-class fuzzy C-means segmentation algorithm which accounted for and removed motion blur at the breast periphery. Noise in the bCT data was reduced through application of a postreconstruction 3D bilateral filter. A 3D adipose nonuniformity (bias field) correction was then applied followed by glandular segmentation using a 3D bias-corrected fuzzy C-means algorithm. Multiple tissue classes were defined including skin, adipose, and several fractional glandular densities. Following segmentation, a skin mask was produced which preserved the interdigitated skin, adipose, and glandular boundaries of the skin interior. Finally, surface modeling was used to produce digital phantoms with methods complementary to the XCAT suite of digital human phantoms. Results: After rejecting some datasets due to artifacts, 224 virtual breast phantoms were created which emulate the complex breast parenchyma of actual human subjects. The volume breast density (with skin) ranged from 5.5% to 66.3% with a mean value of 25.3% ± 13.2%. Breast volumes ranged from 25.0 to 2099.6 ml with a mean value of 716.3 ± 386.5 ml. Three breast phantoms were selected for imaging with digital compression (using finite element modeling) and simple ray-tracing, and the results show promise in their potential to produce realistic simulated mammograms. Conclusions: This work provides a new population of 224 breast phantoms based on in vivo bCT data for imaging research. Compared to previous studies based on only a few prototype cases, this dataset provides a rich source of new cases spanning a wide range of breast types, volumes, densities, and parenchymal patterns.

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Section: Discussionmentioning

confidence: 99%

Population of 224 realistic human subject-based computational breast phantoms

et al. 2015

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“…6.9 mGy). 114 In a BCT dose assessment study of the UMASS group, the interquartile range and the range of MGD necessary in a BCT exam were lower than in mammography, in spite of the fact that the median value was higher. 115…”

Section: B1 Dose In Bctmentioning

confidence: 99%

Dedicated breast computed tomography: Basic aspects

2015

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X-ray mammography of the compressed breast is well recognized as the "gold standard" for early detection of breast cancer, but its performance is not ideal. One limitation of screening mammography is tissue superposition, particularly for dense breasts. Since 2001, several research groups in the USA and in the European Union have developed computed tomography (CT) systems with digital detector technology dedicated to x-ray imaging of the uncompressed breast (breast CT or BCT) for breast cancer screening and diagnosis. This CT technology--tracing back to initial studies in the 1970s--allows some of the limitations of mammography to be overcome, keeping the levels of radiation dose to the radiosensitive breast glandular tissue similar to that of two-view mammography for the same breast size and composition. This paper presents an evaluation of the research efforts carried out in the invention, development, and improvement of BCT with dedicated scanners with state-of-the-art technology, including initial steps toward commercialization, after more than a decade of R&D in the laboratory and/or in the clinic. The intended focus here is on the technological/engineering aspects of BCT and on outlining advantages and limitations as reported in the related literature. Prospects for future research in this field are discussed.

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“…91 Another study demonstrated a high correlation between cone-beam CT and mammography in the evaluation of BI-RADs 4 and 5 lesions, with better patient comfort. 92 A pilot study investigated the potential role of conebeam CT in monitoring tumour response. 93 In terms of radiation dose, cone-beam CT had a similar or lower glandular dose than conventional mammography.…”

Section: Cone-beam Computed Tomographymentioning

confidence: 99%

“…93 In terms of radiation dose, cone-beam CT had a similar or lower glandular dose than conventional mammography. [89][90][91][92] The current available evidence is derived largely from small-scale studies: further large population studies are needed to investigate the potential application of conebeam CT in breast imaging.…”

Section: Cone-beam Computed Tomographymentioning

confidence: 99%

Recent Advances and Application of Breast Imaging in Clinical Practice

Wl¹,

Sitt²,

Fung³

et al. 2015

Hong Kong J Radiol

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Breast imaging is an essential cornerstone in the management of breast cancer. It serves not only as breast cancer screening, but also in diagnosis, treatment, and follow-up of patients with breast disease. Attempts to enhance the current imaging modalities and development of new technology are underway. We provide a short overview of the existing imaging modalities including mammography, tomosynthesis, ultrasound and magnetic resonance imaging, and recent technological advances including positron emission mammography, contrast digital mammography, elastography, three-dimensional / contrast-enhanced ultrasound and automated wholebreast ultrasound screening. Magnetic resonance spectroscopy, new state-of-the-art applications in optical imaging, cone-beam computed tomography, magnetic resonance-ultrasound navigation, and molecular imaging techniques are also briefly discussed.

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Dedicated Cone-beam Breast Computed Tomography and Diagnostic Mammography: Comparison of Radiation Dose, Patient Comfort, And Qualitative Review of Imaging Findings in BI-RADS 4 and 5 Lesions

Cited by 58 publications

References 13 publications

Population of 224 realistic human subject-based computational breast phantoms

Population of 224 realistic human subject-based computational breast phantoms

Dedicated breast computed tomography: Basic aspects

Recent Advances and Application of Breast Imaging in Clinical Practice

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