The Experts below are selected from a list of 30267 Experts worldwide ranked by ideXlab platform
Mark Lenox - One of the best experts on this subject based on the ideXlab platform.
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Quantitative assessment of Breast Density using transmission ultrasound tomography
Medical physics, 2019Co-Authors: James W. Wiskin, Bilal H. Malik, Rajni Natesan, Mark LenoxAbstract:PURPOSE Breast Density is important in the evaluation of Breast cancer risk. At present, Breast Density is evaluated using two-dimensional projections from mammography with or without tomosynthesis using either (a) subjective assessment or (b) a computer-aided approach. The purpose of this work is twofold: (a) to establish an algorithm for quantitative assessment of Breast Density using quantitative three-dimensional transmission ultrasound imaging; and (b) to determine how these quantitative assessments compare with both subjective and objective mammographic assessments of Breast Density. METHODS We described and verified a threshold-based segmentation algorithm to give a quantitative Breast Density (QBD) on ultrasound tomography images of phantoms of known geometric forms. We also used the algorithm and transmission ultrasound tomography to quantitatively determine Breast Density by separating fibroglandular tissue from fat and skin, based on imaged, quantitative tissue characteristics, and compared the quantitative tomography segmentation results with subjective and objective mammographic assessments. RESULTS Quantitative Breast Density (QBD) measured in phantoms demonstrates high quantitative accuracy with respect to geometric volumes with average difference of less than 0.1% of the total phantom volumes. There is a strong correlation between QBD and both subjective mammographic assessments of Breast Imaging - Reporting and Data System (BI-RADS) Breast composition categories and Volpara Density scores - the Spearman correlation coefficients for the two comparisons were calculated to be 0.90 (95% CI: 0.71-0.96) and 0.96 (95% CI: 0.92-0.98), respectively. CONCLUSIONS The calculation of Breast Density using ultrasound tomography and the described segmentation algorithm is quantitatively accurate in phantoms and highly correlated with both subjective and Food and Drug Administration (FDA)-cleared objective assessments of Breast Density.
Lusine Yaghjyan - One of the best experts on this subject based on the ideXlab platform.
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Physical activity and mammographic Breast Density: a systematic review
Breast cancer research and treatment, 2012Co-Authors: Lusine Yaghjyan, Graham A. Colditz, Kathleen Y. WolinAbstract:Studies show a protective relationship between physical activity and Breast cancer risk across the life course from menarche to postmenopausal years. Mammographic Breast Density is a known and strong Breast cancer risk factor. Whether the association of physical activity with Breast cancer risk is mediated through mammographic Breast Density is poorly understood. This systematic review summarizes published studies that investigated the association between physical activity and mammographic Breast Density and discusses the methodological issues that need to be addressed. We included in this review studies that were published before October 31, 2011 that were accessible in full-text format and were published in English. We identified 20 studies through the PubMed Central, BioMed Central, Embase, and Scopus and using the search terms “physical activity and Breast Density” and “exercise and Breast Density” as well as through manual searches of the bibliographies of the articles identified in electronic searches. We found no evidence of association between physical activity and Breast Density across the studies by grouping them first by the timing of physical activity assessment (in adolescence, current/recent, past, and lifetime) and then by women’s menopausal status (premenopausal and postmenopausal). Given the strength of the relationship between physical activity and Breast cancer and the null findings of this review, it is unlikely that the effect of physical activity is mediated through an effect on Breast Density.
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Vitamin D and mammographic Breast Density: a systematic review
Cancer Causes & Control, 2012Co-Authors: Lusine Yaghjyan, Graham A. Colditz, Bettina DrakeAbstract:Studies suggest a protective relationship between Vitamin D and Breast cancer risk. Several studies assessed the association of Vitamin D with mammographic Breast Density, a known and strong Breast cancer risk factor. Understanding the potential role of Vitamin D in the modification of Breast Density might open new avenues in Breast cancer prevention. This systematic review summarizes published studies that investigated the association between Vitamin D and mammographic Breast Density and offers suggestions for strategies to advance our scientific knowledge.
Kathleen Y. Wolin - One of the best experts on this subject based on the ideXlab platform.
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Physical activity and mammographic Breast Density: a systematic review
Breast cancer research and treatment, 2012Co-Authors: Lusine Yaghjyan, Graham A. Colditz, Kathleen Y. WolinAbstract:Studies show a protective relationship between physical activity and Breast cancer risk across the life course from menarche to postmenopausal years. Mammographic Breast Density is a known and strong Breast cancer risk factor. Whether the association of physical activity with Breast cancer risk is mediated through mammographic Breast Density is poorly understood. This systematic review summarizes published studies that investigated the association between physical activity and mammographic Breast Density and discusses the methodological issues that need to be addressed. We included in this review studies that were published before October 31, 2011 that were accessible in full-text format and were published in English. We identified 20 studies through the PubMed Central, BioMed Central, Embase, and Scopus and using the search terms “physical activity and Breast Density” and “exercise and Breast Density” as well as through manual searches of the bibliographies of the articles identified in electronic searches. We found no evidence of association between physical activity and Breast Density across the studies by grouping them first by the timing of physical activity assessment (in adolescence, current/recent, past, and lifetime) and then by women’s menopausal status (premenopausal and postmenopausal). Given the strength of the relationship between physical activity and Breast cancer and the null findings of this review, it is unlikely that the effect of physical activity is mediated through an effect on Breast Density.
James W. Wiskin - One of the best experts on this subject based on the ideXlab platform.
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Quantitative assessment of Breast Density using transmission ultrasound: comparison to MRI-based Breast Density
2020 IEEE International Ultrasonics Symposium (IUS), 2020Co-Authors: Bilal H. Malik, Yang Zhang, Jeon-hor Chen, James W. WiskinAbstract:Using transmission ultrasound (TU) tomography for quantification of fibroglandular tissue in the Breast is a relatively new mechanism to determine Breast Density. In this research determine Breast Density from both TU images and the respective magnetic resonance images (MRI) of whole Breasts. The MRI-based Breast Density is used as ground-truth to validate TU-based Breast Density, termed as quantitative Breast Density (QBD). The comparison between the two Breast Density assessments was done by calculating the Pearson correlation coefficient and results showed a strong correlation of 0.90, indicating that TU-based measurements provide a valid way to assess Breast Density.
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Quantitative Assessment of Breast Density: Transmission Ultrasound is Comparable to Mammography with Tomosynthesis.
Cancer prevention research (Philadelphia Pa.), 2019Co-Authors: Rajni Natesan, James W. Wiskin, Sanghyeb Lee, Bilal H. MalikAbstract:Elevated Breast Density is among the strongest independent predictors of Breast cancer. Breast Density scores are critical inputs in models used to calculate a patient's lifetime risk of developing Breast cancer. Today, the only FDA-cleared technology for assessing Breast Density uses mammography. An alternative modality for Breast Density quantification is 3D transmission ultrasound (TU). In this retrospective study, we compared automated Breast Density calculations derived from TU using quantitative Breast Density (QBD) and mammography with tomosynthesis using VolparaDensity 3.1 for 225 Breasts. Pearson correlation coefficients (r) and intraclass correlation coefficients were compared. Subset analyses of extremely dense Breasts, premenopausal, and postmenopausal Breasts were also performed. Comparative analysis between radiologist-derived Density assessment and objective automated scores was performed. Calculations from TU and mammography with tomosynthesis for Breast Density, total Breast volume (TBV), and fibroglandular volume (FGV) were strongly correlated (r = 0.91, 0.92, and 0.67, respectively). We observed moderate absolute agreement for FGV and Breast Density, and strong absolute agreement for TBV. A subset of 56 extremely dense Breasts showed similar trends, however with lower Breast Density agreement in the subset than in the full study. No significant difference existed in Density correlation between premenopausal and postmenopausal Breasts across modalities. QBD calculations from TU were strongly correlated with Breast Density scores from VolparaDensity. TU systematically measured higher FGV and Breast Density compared with mammography, and the difference increased with Breast Density. IMPACT: TU of the Breast can accurately quantify Breast Density comparable with mammography with tomosynthesis.
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Quantitative assessment of Breast Density using transmission ultrasound tomography
Medical physics, 2019Co-Authors: James W. Wiskin, Bilal H. Malik, Rajni Natesan, Mark LenoxAbstract:PURPOSE Breast Density is important in the evaluation of Breast cancer risk. At present, Breast Density is evaluated using two-dimensional projections from mammography with or without tomosynthesis using either (a) subjective assessment or (b) a computer-aided approach. The purpose of this work is twofold: (a) to establish an algorithm for quantitative assessment of Breast Density using quantitative three-dimensional transmission ultrasound imaging; and (b) to determine how these quantitative assessments compare with both subjective and objective mammographic assessments of Breast Density. METHODS We described and verified a threshold-based segmentation algorithm to give a quantitative Breast Density (QBD) on ultrasound tomography images of phantoms of known geometric forms. We also used the algorithm and transmission ultrasound tomography to quantitatively determine Breast Density by separating fibroglandular tissue from fat and skin, based on imaged, quantitative tissue characteristics, and compared the quantitative tomography segmentation results with subjective and objective mammographic assessments. RESULTS Quantitative Breast Density (QBD) measured in phantoms demonstrates high quantitative accuracy with respect to geometric volumes with average difference of less than 0.1% of the total phantom volumes. There is a strong correlation between QBD and both subjective mammographic assessments of Breast Imaging - Reporting and Data System (BI-RADS) Breast composition categories and Volpara Density scores - the Spearman correlation coefficients for the two comparisons were calculated to be 0.90 (95% CI: 0.71-0.96) and 0.96 (95% CI: 0.92-0.98), respectively. CONCLUSIONS The calculation of Breast Density using ultrasound tomography and the described segmentation algorithm is quantitatively accurate in phantoms and highly correlated with both subjective and Food and Drug Administration (FDA)-cleared objective assessments of Breast Density.
Bilal H. Malik - One of the best experts on this subject based on the ideXlab platform.
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Quantitative assessment of Breast Density using transmission ultrasound: comparison to MRI-based Breast Density
2020 IEEE International Ultrasonics Symposium (IUS), 2020Co-Authors: Bilal H. Malik, Yang Zhang, Jeon-hor Chen, James W. WiskinAbstract:Using transmission ultrasound (TU) tomography for quantification of fibroglandular tissue in the Breast is a relatively new mechanism to determine Breast Density. In this research determine Breast Density from both TU images and the respective magnetic resonance images (MRI) of whole Breasts. The MRI-based Breast Density is used as ground-truth to validate TU-based Breast Density, termed as quantitative Breast Density (QBD). The comparison between the two Breast Density assessments was done by calculating the Pearson correlation coefficient and results showed a strong correlation of 0.90, indicating that TU-based measurements provide a valid way to assess Breast Density.
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Quantitative Assessment of Breast Density: Transmission Ultrasound is Comparable to Mammography with Tomosynthesis.
Cancer prevention research (Philadelphia Pa.), 2019Co-Authors: Rajni Natesan, James W. Wiskin, Sanghyeb Lee, Bilal H. MalikAbstract:Elevated Breast Density is among the strongest independent predictors of Breast cancer. Breast Density scores are critical inputs in models used to calculate a patient's lifetime risk of developing Breast cancer. Today, the only FDA-cleared technology for assessing Breast Density uses mammography. An alternative modality for Breast Density quantification is 3D transmission ultrasound (TU). In this retrospective study, we compared automated Breast Density calculations derived from TU using quantitative Breast Density (QBD) and mammography with tomosynthesis using VolparaDensity 3.1 for 225 Breasts. Pearson correlation coefficients (r) and intraclass correlation coefficients were compared. Subset analyses of extremely dense Breasts, premenopausal, and postmenopausal Breasts were also performed. Comparative analysis between radiologist-derived Density assessment and objective automated scores was performed. Calculations from TU and mammography with tomosynthesis for Breast Density, total Breast volume (TBV), and fibroglandular volume (FGV) were strongly correlated (r = 0.91, 0.92, and 0.67, respectively). We observed moderate absolute agreement for FGV and Breast Density, and strong absolute agreement for TBV. A subset of 56 extremely dense Breasts showed similar trends, however with lower Breast Density agreement in the subset than in the full study. No significant difference existed in Density correlation between premenopausal and postmenopausal Breasts across modalities. QBD calculations from TU were strongly correlated with Breast Density scores from VolparaDensity. TU systematically measured higher FGV and Breast Density compared with mammography, and the difference increased with Breast Density. IMPACT: TU of the Breast can accurately quantify Breast Density comparable with mammography with tomosynthesis.
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Quantitative assessment of Breast Density using transmission ultrasound tomography
Medical physics, 2019Co-Authors: James W. Wiskin, Bilal H. Malik, Rajni Natesan, Mark LenoxAbstract:PURPOSE Breast Density is important in the evaluation of Breast cancer risk. At present, Breast Density is evaluated using two-dimensional projections from mammography with or without tomosynthesis using either (a) subjective assessment or (b) a computer-aided approach. The purpose of this work is twofold: (a) to establish an algorithm for quantitative assessment of Breast Density using quantitative three-dimensional transmission ultrasound imaging; and (b) to determine how these quantitative assessments compare with both subjective and objective mammographic assessments of Breast Density. METHODS We described and verified a threshold-based segmentation algorithm to give a quantitative Breast Density (QBD) on ultrasound tomography images of phantoms of known geometric forms. We also used the algorithm and transmission ultrasound tomography to quantitatively determine Breast Density by separating fibroglandular tissue from fat and skin, based on imaged, quantitative tissue characteristics, and compared the quantitative tomography segmentation results with subjective and objective mammographic assessments. RESULTS Quantitative Breast Density (QBD) measured in phantoms demonstrates high quantitative accuracy with respect to geometric volumes with average difference of less than 0.1% of the total phantom volumes. There is a strong correlation between QBD and both subjective mammographic assessments of Breast Imaging - Reporting and Data System (BI-RADS) Breast composition categories and Volpara Density scores - the Spearman correlation coefficients for the two comparisons were calculated to be 0.90 (95% CI: 0.71-0.96) and 0.96 (95% CI: 0.92-0.98), respectively. CONCLUSIONS The calculation of Breast Density using ultrasound tomography and the described segmentation algorithm is quantitatively accurate in phantoms and highly correlated with both subjective and Food and Drug Administration (FDA)-cleared objective assessments of Breast Density.