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Showing papers on "Mammography published in 2013"


Journal ArticleDOI
TL;DR: It is found that breast cancer mortality was an unreliable outcome that was biased in favour of screening, mainly because of differential misclassification of cause of death.
Abstract: Screening with mammography uses X-ray imaging to find breast cancer before a lump can be felt. The goal is to treat cancer earlier, when a cure is more likely. The review includes seven trials that involved 600,000 women in the age range 39 to 74 years who were randomly assigned to receive screening mammograms or not. The studies which provided the most reliable information showed that screening did not reduce breast cancer mortality. Studies that were potentially more biased (less carefully done) found that screening reduced breast cancer mortality. However, screening will result in some women getting a cancer diagnosis even though their cancer would not have led to death or sickness. Currently, it is not possible to tell which women these are, and they are therefore likely to have breasts or lumps removed and to receive radiotherapy unnecessarily. If we assume that screening reduces breast cancer mortality by 15% after 13 years of follow-up and that overdiagnosis and overtreatment is at 30%, it means that for every 2000 women invited for screening throughout 10 years, one will avoid dying of breast cancer and 10 healthy women, who would not have been diagnosed if there had not been screening, will be treated unnecessarily. Furthermore, more than 200 women will experience important psychological distress including anxiety and uncertainty for years because of false positive findings. Women invited to screening should be fully informed of both the benefits and harms. To help ensure that the requirements for informed choice for women contemplating whether or not to attend a screening programme can be met, we have written an evidence-based leaflet for lay people that is available in several languages on www.cochrane.dk. Because of substantial advances in treatment and greater breast cancer awareness since the trials were carried out, it is likely that the absolute effect of screening today is smaller than in the trials. Recent observational studies show more overdiagnosis than in the trials and very little or no reduction in the incidence of advanced cancers with screening.

1,640 citations


Journal ArticleDOI
TL;DR: The use of mammography plus tomosynthesis in a screening environment resulted in a significantly higher cancer detection rate and enabled the detection of more invasive cancers.
Abstract: We found a significant increase in cancer detection rates, particularly for invasive cancers, and a simultaneous decrease in false-positive rates with use of mammography plus tomosynthesis compared with mammography alone.

890 citations


Journal ArticleDOI
TL;DR: Integrated 2D and 3D mammography improves breast-cancer detection and has the potential to reduce false positive recalls.
Abstract: Summary Background Digital breast tomosynthesis with 3D images might overcome some of the limitations of conventional 2D mammography for detection of breast cancer. We investigated the effect of integrated 2D and 3D mammography in population breast-cancer screening. Methods Screening with Tomosynthesis OR standard Mammography (STORM) was a prospective comparative study. We recruited asymptomatic women aged 48 years or older who attended population-based breast-cancer screening through the Trento and Verona screening services (Italy) from August, 2011, to June, 2012. We did screen-reading in two sequential phases—2D only and integrated 2D and 3D mammography—yielding paired data for each screen. Standard double-reading by breast radiologists determined whether to recall the participant based on positive mammography at either screen read. Outcomes were measured from final assessment or excision histology. Primary outcome measures were the number of detected cancers, the number of detected cancers per 1000 screens, the number and proportion of false positive recalls, and incremental cancer detection attributable to integrated 2D and 3D mammography. We compared paired binary data with McNemar's test. Findings 7292 women were screened (median age 58 years [IQR 54–63]). We detected 59 breast cancers (including 52 invasive cancers) in 57 women. Both 2D and integrated 2D and 3D screening detected 39 cancers. We detected 20 cancers with integrated 2D and 3D only versus none with 2D screening only (p Interpretation Integrated 2D and 3D mammography improves breast-cancer detection and has the potential to reduce false positive recalls. Randomised controlled trials are needed to compare integrated 2D and 3D mammography with 2D mammography for breast cancer screening. Funding National Breast Cancer Foundation, Australia; National Health and Medical Research Council, Australia; Hologic, USA; Technologic, Italy.

713 citations


Journal ArticleDOI
TL;DR: The extensive research performed during the development of breast tomosynthesis is reviewed, with a focus on the research addressing the medical physics aspects of this imaging modality.
Abstract: Mammography is a very well-established imaging modality for the early detection and diagnosis of breast cancer. However, since the introduction of digital imaging to the realm of radiology, more advanced, and especially tomographic imaging methods have been made possible. One of these methods, breast tomosynthesis, has finally been introduced to the clinic for routine everyday use, with potential to in the future replace mammography for screening for breast cancer. In this two part paper, the extensive research performed during the development of breast tomosynthesis is reviewed, with a focus on the research addressing the medical physics aspects of this imaging modality. This first paper will review the research performed on the issues relevant to the image acquisition process, including system design, optimization of geometry and technique, x-ray scatter, and radiation dose. The companion to this paper will review all other aspects of breast tomosynthesis imaging, including the reconstruction process.

363 citations


Journal ArticleDOI
TL;DR: The approaches which are applied to develop CAD systems on mammography and ultrasound images are presented and the performance evaluation metrics of CAD systems are reviewed.

311 citations


Journal ArticleDOI
TL;DR: The introduction of breast tomosynthesis into clinical practice was associated with a significant reduction in recall rates and a simultaneous increase in breast cancer detection rates.
Abstract: OBJECTIVE. Digital mammography combined with tomosynthesis is gaining clinical acceptance, but data are limited that show its impact in the clinical environment. We assessed the changes in performance measures, if any, after the introduction of tomosynthesis systems into our clinical practice. MATERIALS AND METHODS. In this observational study, we used verified practice- and outcome-related databases to compute and compare recall rates, biopsy rates, cancer detection rates, and positive predictive values for six radiologists who interpreted screening mammography studies without (n = 13,856) and with (n = 9499) the use of tomosynthesis. Two-sided analyses (significance declared at p < 0.05) accounting for reader variability, age of participants, and whether the examination in question was a baseline were performed. RESULTS. For the group as a whole, the introduction and routine use of tomosynthesis resulted in significant observed changes in recall rates from 8.7% to 5.5% (p < 0.001), nonsignificant change...

308 citations


Journal ArticleDOI
TL;DR: The ACR Appropriateness Criteria as mentioned in this paper are evidence-based guidelines for specific clinical conditions that are reviewed every 2 years by a multidisciplinary expert panel and used to recommend imaging and treatment procedures.
Abstract: Mammography is the recommended method for breast cancer screening of women in the general population. However, mammography alone does not perform as well as mammography plus supplemental screening in high-risk women. Therefore, supplemental screening with MRI or ultrasound is recommended in selected high-risk populations. Screening breast MRI is recommended in women at high risk for breast cancer on the basis of family history or genetic predisposition. Ultrasound is an option for those high-risk women who cannot undergo MRI. Recent literature also supports the use of breast MRI in some women of intermediate risk, and ultrasound may be an option for intermediate-risk women with dense breasts. There is insufficient evidence to support the use of other imaging modalities, such as thermography, breast-specific gamma imaging, positron emission mammography, and optical imaging, for breast cancer screening. The ACR Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed every 2 years by a multidisciplinary expert panel. The guideline development and review includes an extensive analysis of current medical literature from peer-reviewed journals and the application of a well-established consensus methodology (modified Delphi) to rate the appropriateness of imaging and treatment procedures by the panel. In those instances in which evidence is lacking or not definitive, expert opinion may be used to recommend imaging or treatment.

273 citations


Journal ArticleDOI
TL;DR: This review aims at providing an overview about recent advances and developments in the field of Computer-Aided Diagnosis (CAD) of breast cancer using mammograms, specifically focusing on the mathematical aspects of the same, aiming to act as a mathematical primer for intermediates and experts inThe field.
Abstract: The American Cancer Society (ACS) recommends women aged 40 and above to have a mammogram every year and calls it a gold standard for breast cancer detection. Early detection of breast cancer can improve survival rates to a great extent. Inter-observer and intra-observer errors occur frequently in analysis of medical images, given the high variability between interpretations of different radiologists. Also, the sensitivity of mammographic screening varies with image quality and expertise of the radiologist. So, there is no golden standard for the screening process. To offset this variability and to standardize the diagnostic procedures, efforts are being made to develop automated techniques for diagnosis and grading of breast cancer images. A few papers have documented the general trend of computer-aided diagnosis of breast cancer, making a broad study of the several techniques involved. But, there is no definitive documentation focusing on the mathematical techniques used in breast cancer detection. This review aims at providing an overview about recent advances and developments in the field of Computer-Aided Diagnosis (CAD) of breast cancer using mammograms, specifically focusing on the mathematical aspects of the same, aiming to act as a mathematical primer for intermediates and experts in the field.

236 citations


Journal ArticleDOI
TL;DR: A review of breast tomosynthesis research is performed, with an emphasis on its medical physics aspects, including reconstruction, image processing, and analysis, as well as the advanced applications being investigated for breasttomosynthesis.
Abstract: Many important post-acquisition aspects of breast tomosynthesis imaging can impact its clinical performance. Chief among them is the reconstruction algorithm that generates the representation of the three-dimensional breast volume from the acquired projections. But even after reconstruction, additional processes, such as artifact reduction algorithms, computer aided detection and diagnosis, among others, can also impact the performance of breast tomosynthesis in the clinical realm. In this two part paper, a review of breast tomosynthesis research is performed, with an emphasis on its medical physics aspects. In the companion paper, the first part of this review, the research performed relevant to the image acquisition process is examined. This second part will review the research on the post-acquisition aspects, including reconstruction, image processing, and analysis, as well as the advanced applications being investigated for breast tomosynthesis.

215 citations


Journal ArticleDOI
TL;DR: Double reading of 2D + 3D significantly improves the cancer detection rate in mammography screening and significantly reduced false-positive interpretations in tomosynthesis-based examinations.
Abstract: To compare double readings when interpreting full field digital mammography (2D) and tomosynthesis (3D) during mammographic screening. A prospective, Ethical Committee approved screening study is underway. During the first year 12,621 consenting women underwent both 2D and 3D imaging. Each examination was independently interpreted by four radiologists under four reading modes: Arm A—2D; Arm B—2D + CAD; Arm C—2D + 3D; Arm D—synthesised 2D + 3D. Examinations with a positive score by at least one reader were discussed at an arbitration meeting before a final management decision. Paired double reading of 2D (Arm A + B) and 2D + 3D (Arm C + D) were analysed. Performance measures were compared using generalised linear mixed models, accounting for inter-reader performance heterogeneity (P < 0.05). Pre-arbitration false-positive scores were 10.3 % (1,286/12,501) and 8.5 % (1,057/12,501) for 2D and 2D + 3D, respectively (P < 0.001). Recall rates were 2.9 % (365/12,621) and 3.7 % (463/12,621), respectively (P = 0.005). Cancer detection was 7.1 (90/12,621) and 9.4 (119/12,621) per 1,000 examinations, respectively (30 % increase, P < 0.001); positive predictive values (detected cancer patients per 100 recalls) were 24.7 % and 25.5 %, respectively (P = 0.97). Using 2D + 3D, double-reading radiologists detected 27 additional invasive cancers (P < 0.001). Double reading of 2D + 3D significantly improves the cancer detection rate in mammography screening. • Tomosynthesis-based screening was successfully implemented in a large prospective screening trial. • Double reading of tomosynthesis-based examinations significantly reduced false-positive interpretations. • Double reading of tomosynthesis significantly increased the detection of invasive cancers.

202 citations


Journal ArticleDOI
TL;DR: A review of the current status of task-based image analysis methods, which are being developed for the various image acquisition modalities of mammography, tomosynthesis, computed tomography, ultrasound, and magnetic resonance imaging, and a discussion of future directions.
Abstract: The role of breast image analysis in radiologists' interpretation tasks in cancer risk assessment, detection, diagnosis, and treatment continues to expand. Breast image analysis methods include segmentation, feature extraction techniques, classifier design, biomechanical modeling, image registration, motion correction, and rigorous methods of evaluation. We present a review of the current status of these task-based image analysis methods, which are being developed for the various image acquisition modalities of mammography, tomosynthesis, computed tomography, ultrasound, and magnetic resonance imaging. Depending on the task, image-based biomarkers from such quantitative image analysis may include morphological, textural, and kinetic characteristics and may depend on accurate modeling and registration of the breast images. We conclude with a discussion of future directions.

Journal ArticleDOI
TL;DR: It is proposed that optimal breast cancer screening will ultimately require a personalized approach based on metrics of cancer risk with selective application of specific screening technologies best suited to the individual's age, risk, and breast density.

Journal ArticleDOI
TL;DR: Women aged 50 to 74 years, even those with high breast density or HT use, who undergo biennial screening mammography have similar risk of advanced-stage disease and lower cumulative risk of false-positive results than those who undergo annual mammography.
Abstract: Importance Controversy exists about the frequency women should undergo screening mammography and whether screening interval should vary according to risk factors beyond age. Objective To compare the benefits and harms of screening mammography frequencies according to age, breast density, and postmenopausal hormone therapy (HT) use. Design Prospective cohort. Setting Data collected January 1994 to December 2008 from mammography facilities in community practice that participate in the Breast Cancer Surveillance Consortium (BCSC) mammography registries. Participants Data were collected prospectively on 11 474 women with breast cancer and 922 624 without breast cancer who underwent mammography at facilities that participate in the BCSC. Main Outcomes and Measures We used logistic regression to calculate the odds of advanced stage (IIb, III, or IV) and large tumors (>20 mm in diameter) and 10-year cumulative probability of a false-positive mammography result by screening frequency, age, breast density, and HT use. The main predictor was screening mammography interval. Results Mammography biennially vs annually for women aged 50 to 74 years does not increase risk of tumors with advanced stage or large size regardless of women's breast density or HT use. Among women aged 40 to 49 years with extremely dense breasts, biennial mammography vs annual is associated with increased risk of advanced-stage cancer (odds ratio [OR], 1.89; 95% CI, 1.06-3.39) and large tumors (OR, 2.39; 95% CI, 1.37-4.18). Cumulative probability of a false-positive mammography result was high among women undergoing annual mammography with extremely dense breasts who were either aged 40 to 49 years (65.5%) or used estrogen plus progestogen (65.8%) and was lower among women aged 50 to 74 years who underwent biennial or triennial mammography with scattered fibroglandular densities (30.7% and 21.9%, respectively) or fatty breasts (17.4% and 12.1%, respectively). Conclusions and Relevance Women aged 50 to 74 years, even those with high breast density or HT use, who undergo biennial screening mammography have similar risk of advanced-stage disease and lower cumulative risk of false-positive results than those who undergo annual mammography. When deciding whether to undergo mammography, women aged 40 to 49 years who have extremely dense breasts should be informed that annual mammography may minimize their risk of advanced-stage disease but the cumulative risk of false-positive results is high.

Journal ArticleDOI
TL;DR: Preliminary data from population screening trials suggest that the integration of DBT with conventional DM may substantially improve breast cancer detection, although final results are not yet available, and many logistical issues need further evaluation to determine the potential implications and cost of combined 2D + 3D mammographic screening.

Book
19 Mar 2013
TL;DR: Mammography and Beyond as mentioned in this paper provides a comprehensive and up-to-date perspective on the state of breast cancer screening and diagnosis and recommends steps for developing the most reliable breast cancer detection methods possible.
Abstract: Each year more than 180,000 new cases of breast cancer are diagnosed in women in the U.S. If cancer is detected when small and local, treatment options are less dangerous, intrusive, and costly-and more likely to lead to a cure.Yet those simple facts belie the complexity of developing and disseminating acceptable techniques for breast cancer diagnosis. Even the most exciting new technologies remain clouded with uncertainty. Mammography and Beyond provides a comprehensive and up-to-date perspective on the state of breast cancer screening and diagnosis and recommends steps for developing the most reliable breast cancer detection methods possible.This book reviews the dramatic expansion of breast cancer awareness and screening, examining the capabilities and limitations of current and emerging technologies for breast cancer detection and their effectiveness at actually reducing deaths. The committee discusses issues including national policy toward breast cancer detection, roles of public and private agencies, problems in determining the success of a technique, availability of detection methods to specific populations of women, women's experience during the detection process, cost-benefit analyses, and more.Examining current practices and specifying research and other needs, Mammography and Beyond will be an indispensable resource to policy makers, public health officials, medical practitioners, researchers, women's health advocates, and concerned women and their families.

Journal ArticleDOI
TL;DR: In this article, the authors evaluated the sizing of primary breast cancer using mammography, sonography and magnetic resonance imaging (MRI) and thereby established which imaging method most accurately corresponds with the size of the histological result.
Abstract: Tumour size in breast cancer influences therapeutic decisions. The purpose of this study was to evaluate sizing of primary breast cancer using mammography, sonography and magnetic resonance imaging (MRI) and thereby establish which imaging method most accurately corresponds with the size of the histological result. Data from 121 patients with primary breast cancer were analysed in a retrospective study. The results were divided into the groups “ductal carcinoma in situ (DCIS)”, invasive ductal carcinoma (IDC) + ductal carcinoma in situ (DCIS)”, “invasive ductal carcinoma (IDC)”, “invasive lobular carcinoma (ILC)” and “other tumours” (tubular, medullary, mucinous and papillary breast cancer). The largest tumour diameter was chosen as the sizing reference in each case. Bland-Altman analysis was used to determine to what extent the imaging tumour size correlated with the histopathological tumour sizes. Tumour size was found to be significantly underestimated with sonography, especially for the tumour groups IDC + DCIS, IDC and ILC. The greatest difference between sonographic sizing and actual histological tumour size was found with invasive lobular breast cancer. There was no significant difference between mammographic and histological sizing. MRI overestimated non-significantly the tumour size and is superior to the other imaging techniques in sizing of IDC + DCIS and ILC. The histological subtype should be included in imaging interpretation for planning surgery in order to estimate the histological tumour size as accurately as possible.

Journal ArticleDOI
TL;DR: Preliminary results may justify the cost-benefit of implementing the judicious us of ABUS in conjunction with mammography in the dense breast screening population.

Journal ArticleDOI
TL;DR: There is sufficient evidence to conclude that painful mammography contributes to non-re-attendance and effective pain-reducing interventions in mammography are needed.

Journal ArticleDOI
TL;DR: There is a clear benefit to the use of CAD in less experienced radiologist and in detecting breast carcinomas presenting as microcalcifications and as an alternative to double reading in screening mammography.

Journal ArticleDOI
TL;DR: In this paper, it was shown that a distribution of micrometer-sized calcifications in the human breast which are not visible in clinical x-ray mammography at diagnostic dose levels can produce a significant dark-field signal in a grating-based xray phase-contrast imaging setup with a tungsten anode xray tube operated at 40 kVp.
Abstract: We show that a distribution of micrometer-sized calcifications in the human breast which are not visible in clinical x-ray mammography at diagnostic dose levels can produce a significant dark-field signal in a grating-based x-ray phase-contrast imaging setup with a tungsten anode x-ray tube operated at 40 kVp. A breast specimen with invasive ductal carcinoma was investigated immediately after surgery by Talbot-Lau x-ray interferometry with a design energy of 25 keV. The sample contained two tumors which were visible in ultrasound and contrast-agent enhanced MRI but invisible in clinical x-ray mammography, in specimen radiography and in the attenuation images obtained with the Talbot-Lau interferometer. One of the tumors produced significant dark-field contrast with an exposure of 0.85 mGy air-kerma. Staining of histological slices revealed sparsely distributed grains of calcium phosphate with sizes varying between 1 and 40 μm in the region of this tumor. By combining the histological investigations with an x-ray wave-field simulation we demonstrate that a corresponding distribution of grains of calcium phosphate in the form of hydroxylapatite has the ability to produce a dark-field signal which would-to a substantial degree-explain the measured dark-field image. Thus we have found the appearance of new information (compared to attenuation and differential phase images) in the dark-field image. The second tumor in the same sample did not contain a significant fraction of these very fine calcification grains and was invisible in the dark-field image. We conclude that some tumors which are invisible in x-ray absorption mammography might be detected in the x-ray dark-field image at tolerable dose levels.

Journal ArticleDOI
15 Jul 2013-Cancer
TL;DR: Whether the 2009 USPSTF recommendations led to changes in screening rates among women ages 40 to 49 years and ages 50 to 74 years is determined.
Abstract: BACKGROUND In November 2009, the US Preventive Services Task Force (USPSTF) issued new recommendations regarding mammography screening. The Task Force recommended against routine screening for women ages 40 to 49 years and recommended biennial screening for women ages 50 to74 years. The recommendations met great controversy in mass media and medical literature; whether they have had an impact on screening patterns is not known. The objective of this study was to determine whether the 2009 USPSTF recommendations led to changes in screening rates among women ages 40 to 49 years and ages 50 to 74 years. METHODS The authors performed cross-sectional assessments of mammography screening in 2005, 2008, and 2011 using data from the National Health Interview Survey, a nationally representative, in-person, household survey of the civilian, noninstitutionalized US population. In total, 27,829 women ages ≥40 years responded to the 2005, 2008, or 2011 surveys and reported about their mammography use. The primary outcome assessed was self-reported mammography screening in the past year. RESULTS When adjusted for race, income, education level, insurance, and immigration status, mammography rates increased slightly from 2008 to 2011 (from 51.9% to 53.6%; P = .07) and did not decline within any age group. Among women ages 40 to 49 years, screening rates were 46.1% in 2008 and 47.5% in 2011 (P = 0.38). For women ages 50 to 74, screening rates were 57.2 in 2008 and 59.1 in 2011 (P = 0.09). CONCLUSIONS Mammography rates did not decrease among women aged >40 years after publication of the USPSTF recommendations in 2009, suggesting that the vigorous policy debates and coverage in the media and medical literature have had an impact on the adoption of these recommendations. Cancer 2013;119:2518–2523. © 2013 American Cancer Society.

Journal ArticleDOI
04 Dec 2013-PLOS ONE
TL;DR: Automated volumetric fibroglandular tissue measures from screening digital mammograms were in substantial agreement with MRI and if associated with breast cancer could be used in clinical practice to enhance risk assessment and prevention.
Abstract: Clinical scores of mammographic breast density are highly subjective Automated technologies for mammography exist to quantify breast density objectively, but the technique that most accurately measures the quantity of breast fibroglandular tissue is not k

Journal ArticleDOI
TL;DR: Questions that readers of overdiagnosis studies can use to evaluate the validity and relevance of published estimates are concluded and it is recommended that authors of studies quantifying over Diagnosis provide information about these features.
Abstract: Knowledge of the likelihood that a screening-detected case of cancer has been overdiagnosed is vitally important to make treatment decisions and develop screening policy. An overdiagnosed case is an excess case detected by screening. Estimates of the frequency of overdiagnosis in breast and prostate cancer screening vary greatly across studies. This article identifies features of overdiagnosis studies that influence results and shows their effect by using published research. First, different ways to define and measure overdiagnosis are considered. Second, contextual features and how they affect overdiagnosis estimates are examined. Third, the effect of estimation approach is discussed. Many studies use excess incidence under screening as a proxy for overdiagnosis. Others use statistical models to make inferences about lead time or natural history and then derive the corresponding fraction of cases that are overdiagnosed. This article concludes with questions that readers of overdiagnosis studies can use to evaluate the validity and relevance of published estimates and recommends that authors of studies quantifying overdiagnosis provide information about these features.

Journal ArticleDOI
13 Apr 2013
TL;DR: A new descriptor based on the divergence of the gradient (HGD) was demonstrated to be a feasible predictor of breast masses’ diagnosis, demonstrating promising capabilities to describe masses.
Abstract: Breast cancer computer-aided diagnosis (CADx) may utilize image descriptors, demographics, clinical observations, or a combination. CADx performance was compared for several image features, clinical descriptors (e.g. age and radiologist’s observations), and combinations of both kinds of data. A novel descriptor invariant to rotation, histograms of gradient divergence (HGD), was developed to deal with round-shaped objects, such as masses. HGD was compared with conventional CADx features. HGD and 11 conventional image descriptors were evaluated using cases from two publicly available mammography data sets, the digital database for screening mammography (DDSM) and the breast cancer digital repository (BCDR), with 1,762 and 362 instances, respectively. Three experiments were done for each data set according to the type of lesion (i.e., all lesions, masses, and calcifications), resulting in six scenarios. For each scenario, 100 training and test sets were generated via resampling without replacement and five machine learning classifiers were used to assess the diagnostic performance of the descriptors. Clinical descriptors outperformed image descriptors in the DDSM sample (three out of six scenarios), and combining the two kind of descriptors was advantageous in five out of six scenarios. HGD was the best descriptor (or comparable to best) in 8 out of 12 scenarios, demonstrating promising capabilities to describe masses. The combination of clinical data and image descriptors was advantageous in most mammography CADx scenarios. A new descriptor based on the divergence of the gradient (HGD) was demonstrated to be a feasible predictor of breast masses’ diagnosis.

Journal ArticleDOI
01 Sep 2013-Cancer
TL;DR: This is the first report using individual‐based data on invitation and participation to analyze breast cancer mortality among screened and nonscreened women in the Norwegian Breast Cancer Screening Program.
Abstract: BACKGROUND The Norwegian Breast Cancer Screening Program started in 1996. To the authors' knowledge, this is the first report using individual-based data on invitation and participation to analyze breast cancer mortality among screened and nonscreened women in the program.

Journal ArticleDOI
TL;DR: Women with high breast density and proliferative benign breast disease are at very high risk for future breast cancer, regardless of their benign pathologic diagnosis.
Abstract: Atypical hyperplasia (1–3) and high breast density (4–6) are two of the strongest risk factors for breast cancer. If these two risk factors are independent, then the presence of both would identify a group of women at very high risk for breast cancer. These women may benefit from more-intensive approaches to screening for breast cancer or interventions to lower their risk for breast cancer. A small prior study found a statistically significant interaction between benign breast disease and breast density, such that women with high breast density and atypical hyperplasia were at lower than expected risk (7). This is in contrast to other recent, large studies showing that breast density in combination with other risk factors is associated with increased risk of breast cancer. For example, women with high density and postmenopausal hormone therapy use are at higher risk of breast cancer than postmenopausal non–hormone therapy users with high breast density (8). Similarly, women with a first-degree relative with breast cancer and high breast density are at higher risk of breast cancer than those without a family history of breast cancer who have high breast density (9). In contrast, women with atypical hyperplasia are at increased breast cancer risk, but presence of family history does not statistically significantly modify the risk (2). The presence or absence of a statistically significant interaction between benign breast disease and breast density has important implications for improving risk assessment models of breast cancer. We used data from the large, prospective Breast Cancer Surveillance Consortium (BCSC) to test the hypothesis that benign breast disease and breast density are independent risk factors for breast cancer and to obtain reliable estimates for the risks associated with combinations of these two factors. This is the first large study with sufficient power to examine these two strong, prevalent risk factors in US women evaluated using modern clinical practices for mammography and breast biopsies.

Journal ArticleDOI
TL;DR: Proper assessment of CAD system performance is expected to increase the understanding of a CAD system's effectiveness and limitations, which isexpected to stimulate further research and development efforts on CAD technologies, reduce problems due to improper use, and eventually improve the utility and efficacy of CAD in clinical practice.
Abstract: Computer-aided detection and diagnosis (CAD) systems are increasingly being used as an aid by clinicians for detection and interpretation of diseases. Computer-aided detection systems mark regions of an image that may reveal specific abnormalities and are used to alert clinicians to these regions during image interpretation. Computer-aided diagnosis systems provide an assessment of a disease using image-based information alone or in combination with other relevant diagnostic data and are used by clinicians as a decision support in developing their diagnoses. While CAD systems are commercially available, standardized approaches for evaluating and reporting their performance have not yet been fully formalized in the literature or in a standardization effort. This deficiency has led to difficulty in the comparison of CAD devices and in understanding how the reported performance might translate into clinical practice. To address these important issues, the American Association of Physicists in Medicine (AAPM) formed the Computer Aided Detection in Diagnostic Imaging Subcommittee (CADSC), in part, to develop recommendations on approaches for assessing CAD system performance. The purpose of this paper is to convey the opinions of the AAPM CADSC members and to stimulate the development of consensus approaches and “best practices” for evaluating CAD systems. Both the assessment of a standalone CAD system and the evaluation of the impact of CAD on end-users are discussed. It is hoped that awareness of these important evaluation elements and the CADSC recommendations will lead to further development of structured guidelines for CAD performance assessment. Proper assessment of CAD system performance is expected to increase the understanding of a CAD system's effectiveness and limitations, which is expected to stimulate further research and development efforts on CAD technologies, reduce problems due to improper use, and eventually improve the utility and efficacy of CAD in clinical practice.

Journal ArticleDOI
TL;DR: Compared to women with genetic or familial risk, in HL survivors breast MRI was not more sensitive than mammogram for breast cancer detection, however, the two screening modalities complement each other in the detection of early cases of disease.
Abstract: Purpose Current guidelines recommend breast magnetic resonance imaging (MRI) as an adjunct to mammography for breast cancer screening in female cancer survivors treated with chest irradiation at a young age, beginning 8 to 10 years after treatment. Prospective data evaluating its efficacy in female cancer survivors are lacking. This study sought to compare the sensitivity and specificity of breast MRI with those of mammography in women who received chest irradiation for Hodgkin lymphoma (HL). Patients and Methods We enrolled 148 women treated with chest irradiation for HL at age ≤ 35 years who were > 8 years beyond treatment. Yearly breast MRI and mammogram were performed over a 3-year period. Sensitivity and specificity of the two screening modalities were compared. Results With the screening, 63 biopsies were performed in 45 women; 18 (29%) showed a malignancy. All but one of the screen-detected malignancies were preinvasive or subcentimeter node-negative breast cancers. After excluding first-screen MRI...

Journal ArticleDOI
TL;DR: A working group of breast imagers and breast cancer risk specialists was formed to provide a common response framework and the goal of developing educational materials for referring clinicians and patients was reached with the construction of an easily accessible Web site that contains information about breast density, breastcancer risk assessment, and supplementary imaging.
Abstract: In anticipation of breast density notification legislation in the state of California, which would require notification of women with heterogeneously and extremely dense breast tissue, a working group of breast imagers and breast cancer risk specialists was formed to provide a common response framework. The California Breast Density Information Group identified key elements and implications of the law, researching scientific evidence needed to develop a robust response. In particular, issues of risk associated with dense breast tissue, masking of cancers by dense tissue on mammograms, and the efficacy, benefits, and harms of supplementary screening tests were studied and consensus reached. National guidelines and peer-reviewed published literature were used to recommend that women with dense breast tissue at screening mammography follow supplemental screening guidelines based on breast cancer risk assessment. The goal of developing educational materials for referring clinicians and patients was reached with the construction of an easily accessible Web site that contains information about breast density, breast cancer risk assessment, and supplementary imaging. This multi-institutional, multidisciplinary approach may be useful for organizations to frame responses as similar legislation is passed across the United States. Online supplemental material is available for this article.

Journal ArticleDOI
TL;DR: Familiarity with the salient features of the classic benign male breast conditions will allow accurate imaging interpretation and avoid unnecessary and often invasive treatment.
Abstract: The male breast is susceptible to many of the same pathologic processes as the female breast. Many of these conditions have mammographic, ultrasonographic (US), and magnetic resonance imaging findings that allow differentiation between clearly benign conditions and those that require biopsy. Gynecomastia is the most common abnormality of the male breast and has characteristic imaging features that usually allow differentiation from malignancy. Mammography is the initial imaging modality for a clinically suspicious mass. A palpable mass that is occult or incompletely imaged at mammography mandates targeted US. Suspicious or indeterminate masses require biopsy, which can usually be performed with US guidance. Approximately 0.7% of breast cancers occur in men. Men with breast cancer often present at a more advanced stage than do women owing to a delay in diagnosis. Benign breast neoplasms that may occur in men include angiolipoma, schwannoma, intraductal papilloma, and lipoma. Benign nonneoplastic entities that may occur in the male breast include intramammary lymph node, sebaceous cyst, diabetic mastopathy, hematoma, fat necrosis, subareolar abscess, breast augmentation, venous malformation, secondary syphilis, and nodular fasciitis. Familiarity with the salient features of the classic benign male breast conditions will allow accurate imaging interpretation and avoid unnecessary and often invasive treatment. © RSNA, 2013.