Mammography

About: Mammography is a research topic. Over the lifetime, 20643 publications have been published within this topic receiving 513679 citations.

Accuracy of physical examination, ultrasonography, and mammography in predicting residual pathologic tumor size in patients treated with neoadjuvant chemotherapy

Abstract: Objective: To assess the accuracy of physical examination, ultrasonography, and mammography in predicting residual size of breast tumors following neoadjuvant chemotherapy. Background: Neoadjuvant chemotherapy is an accepted part of the management of stage II and III breast cancer. Accurate prediction of residual pathologic tumor size after neoadjuvant chemotherapy is critical in guiding surgical therapy. Although physical examination, ultrasonography, and mammography have all been used to predict residual tumor size, there have been conflicting reports about the accuracy of these methods in the neoadjuvant setting. Methods: We reviewed the records of 189 patients who participated in 1 of 2 protocols using doxorubicin-containing neoadjuvant chemotherapy, and who had assessment by physical examination, ultrasonography, and/or mammography no more than 60 days before their surgical resection. Size correlations were performed using Spearman rho analysis. Clinical and pathologic measurements were also compared categorically using the weighted kappa statistic. Results: Size estimates by physical examination, ultrasonography, and mammography were only moderately correlated with residual pathologic tumor size after neoadjuvant chemotherapy (correlation coefficients: 0.42, 0.42, and 0.41, respectively), with an accuracy of ±1 cm in 66% of patients by physical examination, 75% by ultrasonography, and 70% by mammography. Kappa values (0.24-0.35) indicated poor agreement between clinical and pathologic measurements. Conclusion: Physical examination, ultrasonography, and mammography were only moderately useful for predicting residual pathologic tumor size after neoadjuvant chemotherapy.

Computer vision and artificial intelligence in mammography.

Abstract: The revolution in digital computer technology that has made possible new and sophisticated imaging techniques may next influence the interpretation of radiologic images. In mammography, computer vision and artificial intelligence techniques have been used successfully to detect or to characterize abnormalities on digital images. Radiologists supplied with this information often perform better at mammographic detection or characterization tasks in observer studies than do unaided radiologists. This technology therefore could decrease errors in mammographic interpretation that continue to plague human observers.

CADx of mammographic masses and clustered microcalcifications: a review.

Abstract: Breast cancer is the most common type of cancer among women in the western world. While mammography is regarded as the most effective tool for the detection and diagnosis of breast cancer, the interpretation of mammograms is a difficult and error-prone task. Hence, computer aids have been developed that assist the radiologist in the interpretation of mammograms. Computer-aided detection (CADe) systems address the problem that radiologists often miss signs of cancers that are retrospectively visible in mammograms. Furthermore, computer-aided diagnosis (CADx) systems have been proposed that assist the radiologist in the classification of mammographic lesions as benign or malignant. While a broad variety of approaches to both CADe and CADx systems have been published in the past two decades, an extensive survey of the state of the art is only available for CADe approaches. Therefore, a comprehensive review of the state of the art of CADx approaches is presented in this work. Besides providing a summary, the goals for this article are to identify relations, contradictions, and gaps in literature, and to suggest directions for future research. Because of the vast amount of publications on the topic, this survey is restricted to the two most important types of mammographic lesions: masses and clustered microcalcifications. Furthermore, it focuses on articles published in international journals.

Multispectral Optoacoustic Tomography (MSOT) of Human Breast Cancer.

Abstract: Purpose: In a pilot study, we introduce fast handheld multispectral optoacoustic tomography (MSOT) of the breast at 28 wavelengths, aiming to identify high-resolution optoacoustic (photoacoustic) patterns of breast cancer and noncancerous breast tissue.Experimental Design: We imaged 10 female patients ages 48-81 years with malignant nonspecific breast cancer or invasive lobular carcinoma. Three healthy volunteers ages 31-36 years were also imaged. Fast-MSOT was based on unique single-frame-per-pulse (SFPP) image acquisition employed to improve the accuracy of spectral differentiation over using a small number of wavelengths. Breast tissue was illuminated at the 700-970 nm spectral range over 0.56 seconds total scan time. MSOT data were guided by ultrasonography and X-ray mammography or MRI.Results: The extended spectral range allowed the computation of oxygenated hemoglobin (HBO2), deoxygenated hemoglobin (HB), total blood volume (TBV), lipid, and water contributions, allowing first insights into in vivo high-resolution breast tissue MSOT cancer patterns. TBV and Hb/HBO2 images resolved marked differences between cancer and control tissue, manifested as a vessel-rich tumor periphery with highly heterogeneous spatial appearance compared with healthy tissue. We observe significant TBV variations between different tumors and between tumors over healthy tissues. Water and fat lipid layers appear disrupted in cancer versus healthy tissue; however, offer weaker contrast compared with TBV images.Conclusions: In contrast to optical methods, MSOT resolves physiologic cancer features with high resolution and revealed patterns not offered by other radiologic modalities. The new features relate to personalized and precision medicine potential. Clin Cancer Res; 23(22); 6912-22. ©2017 AACR.

Likelihood Ratios for Modern Screening Mammography: Risk of Breast Cancer Based on Age and Mammographic Interpretation

Abstract: Objective. —To determine the sensitivity, specificity, and likelihood ratios (LRs) for modern screening mammography by decade of age and mammographic interpretation. Design. —Cross-sectional. Setting. —Nine counties in northern California. Participants. —A total of 26 057 women aged 30 years and older who underwent a total of 41 747 first and subsequent screening mammographic examinations at the Mobile Mammography Screening Program of the University of California, San Francisco, from April 1985 to September 1991. Measurements. —Breast cancer risk profile, 2 standard mammographic views per breast, and follow-up of abnormal and normal mammograms by contacting women's physicians and by linkage to the regional Surveillance, Epidemiology, and End Results tumor registry. False-negative examinations were normal examinations that occurred within 13 months of a diagnosis of invasive breast cancer or ductal carcinoma in situ. Results. —The sensitivity of first screening mammography increased with age: 77.3% for ages 30 to 39 years, 86.7% for ages 40 to 49 years, 93.6% for ages 50 to 59 years, 94.1% for ages 60 to 69 years, and 91.2% for ages 70 years and older (P=.04). Specificity was similar for all ages, ranging from 92.6% to 95.2%. Of all abnormal first screening examinations, 92.9% were reported as "additional evaluation needed." The LRs for that category ranged from 5.2 to 8.8 and did not vary with age. Based on the risk of breast cancer before mammography, which increases with age, the risk of breast cancer after mammography associated with these LRs were 0.01 for ages 30 to 39 years, 0.02 for ages 40 to 49 years, 0.05 for ages 50 to 59 years, 0.07 for ages 60 to 69 years, and 0.07 for ages 70 years and older. The LRs for mammography reported as "suspicious for malignancy" ranged from 88 to 144 and did not vary across age groups. These LRs were associated with a risk of breast cancer about 10 times greater than when mammography was reported as "additional evaluation needed." Conclusions. —Most abnormal first screening mammography are interpreted as "additional evaluation needed" and are associated with LRs of about 7. Given this low LR, the risk of breast cancer after mammography is primarily influenced by a woman's age-specific risk of breast cancer before mammography. The LRs for screening mammography interpreted as "suspicious for malignancy" are high (about 124) and are associated with a substantial increase in the risk of breast cancer irrespective of age, but these interpretations comprise only a small proportion of abnormal mammography.