Can Compression Be Reduced for Breast Tomosynthesis? Monte Carlo Study on Mass and Microcalcification Conspicuity in Tomosynthesis

Can Compression Be Reduced for Breast Tomosynthesis? Monte Carlo Study on Mass and Microcalcification Conspicuity in Tomosynthesis
Robert S. Saunders, Jr, Ehsan Samei, Joseph Y. Lo, and Jay A. Baker
Radiology 2009;251 673-682

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The findings suggest that there is a potential to reduce breast compression in tomosynthesis without a negative effect on radiation dose or image quality, which will increase patient comfort and therefore possibly improve compliance with this new technology

Probabilistic Computer Model Developed from Clinical Data in National Mammography Database Format to Classify Mammographic Findings

Probabilistic Computer Model Developed from Clinical Data in National Mammography Database Format to Classify Mammographic Findings
Elizabeth S. Burnside, Jesse Davis, Jagpreet Chhatwal, Oguzhan Alagoz, Mary J. Lindstrom, Berta M. Geller, Benjamin Littenberg, Katherine A. Shaffer, Charles E. Kahn, Jr, and C. David Page
Radiology 2009;251 663-672

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We demonstrate that our Bayesian network can use a database of prospectively collected findings at mammography to calculate an accurate risk of malignancy and improve on radiologist performance measures in the classification of benign and malignant breast disease

Predicting Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer by Using MR Imaging and Quantitative 1H MR Spectroscopy

Predicting Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer by Using MR Imaging and Quantitative 1H MR Spectroscopy
Hyeon-Man Baek, Jeon-Hor Chen, Ke Nie, Hon J. Yu, Shadfar Bahri, Rita S. Mehta, Orhan Nalcioglu, and Min-Ying Su
Radiology 2009;251 653-662

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The study results suggest that when the reduction in choline-containing compounds was higher than the reduction in tumor size, the tumor was more likely to achieve pathologic complete response

Computer-aided Detection Evaluation Methods Are Not Created Equal

Computer-aided Detection Evaluation Methods Are Not Created Equal
Robert M. Nishikawa and Lorenzo L. Pesce
Radiology 2009;251 634-636

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For the evaluation of computer-aided detection, longitudinal studies (historical controls) are inherently different from cross-sectional studies (sequential reading) when cancer detection rate is used as an end point in a screening program