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mammography - Top 30 Publications

Deep learning in mammography and breast histology, an overview and future trends.

Recent improvements in biomedical image analysis using deep learning based neural networks could be exploited to enhance the performance of Computer Aided Diagnosis (CAD) systems. Considering the importance of breast cancer worldwide and the promising results reported by deep learning based methods in breast imaging, an overview of the recent state-of-the-art deep learning based CAD systems developed for mammography and breast histopathology images is presented. In this study, the relationship between mammography and histopathology phenotypes is described, which takes biological aspects into account. We propose a computer based breast cancer modelling approach: the Mammography-Histology-Phenotype-Linking-Model, which develops a mapping of features/phenotypes between mammographic abnormalities and their histopathological representation. Challenges are discussed along with the potential contribution of such a system to clinical decision making and treatment management.

Association Between Online Information-Seeking and Adherence to Guidelines for Breast and Prostate Cancer Screening.

From 2012 through 2014, the US Preventive Services Task Force (USPSTF) recommended biennial mammography for women aged 50 to 75 and recommended against the prostate specific antigen (PSA) test for men of any age, emphasizing informed decision making for patients. Because of time constraints and other patient health priorities, health care providers often do not discuss benefits and risks associated with cancer screening. We analyzed the association between seeking information online about breast and prostate cancer and undergoing mammography and PSA screening.

Uncertain times: A survey of Canadian women's perspectives toward mammography screening.

Evolving scientific evidence about mammography has raised new questions about the net benefits of organized screening, yet gaps remain about women's current screening practices, knowledge, attitudes and values toward screening to support informed decision making in this area. We addressed this gap through an online survey of 2000 screen-eligible women from Ontario, Canada in January 2016. Likert-scaled and categorical questions were used to collect information about screening practices, knowledge of benefits and risks of screening and underlying attitudes and values toward screening. Results for all responses were summarized using descriptive statistics. Comparison of results between ever screened versus never screened respondents was performed using chi-squared tests. Most women felt informed about screening yet had doubts about how informed their decisions were. They were more confident in their knowledge of the benefits than the risks which aligned with the emphasis given to benefits in discussions with health care providers. The benefits of screening were linked with lowered anxiety about breast cancer. The never screened were less likely to overstate the benefits of screening, more likely to give weight to the risks, and less likely to report anxiety or worry about breast cancer. Findings highlight the need for improved communication strategies and decision supports that emphasize the provision of current, balanced information about the benefits and risks of screening, both at the population-level (through mass media) and within patient-provider interactions. Sensitivity to the psychosocial factors that shape women's attitudes toward mammography screening should be central to any strategy.

Breast lesion shape and margin evaluation: BI-RADS based metrics understate radiologists' actual levels of agreement.

While there is much literature describing the radiologic detection of breast cancer, there are limited data available on the agreement between experts when delineating and classifying breast lesions. The aim of this work is to measure the level of agreement between expert radiologists when delineating and classifying breast lesions as demonstrated through Breast Imaging Reporting and Data System (BI-RADS) and quantitative shape metrics.

Paget's disease of ectopic breast.

Paget's disease of the breast is rare, even more so when it occurs in a supernumerary breast since diagnosis is delayed due to lack of exploration and ignorance of the pathology of ectopic breast. Based on an original clinical case, we provide a clinical update concerning ectopic breast and ectopic carcinoma, including Paget's disease.

Skin models and their impact on mean glandular dose in mammography.

To quantify the influence of different skin models on mammographic breast dosimetry, based on dosimetric protocols and recent breast skin thickness findings.

Reducing Muslim Mammography Disparities: Outcomes From a Religiously Tailored Mosque-Based Intervention.

To describe the design of, and participant-level outcomes related to, a religiously tailored, peer-led group education program aimed at enhancing Muslim women's mammography intention.

Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk.

This study aims to investigate the feasibility of identifying a new quantitative imaging marker based on false-positives generated by computer-aided detection (CAD) scheme to help predict short-term breast cancer risk. An image dataset including four view mammograms acquired from 1,044 women was retrospectively assembled. All mammograms were originally interpreted as negative by radiologists. In the next subsequent mammography screening, 402 women were diagnosed with breast cancer and 642 remained negative. An existing CAD scheme was applied "as is" to process each image. From CAD-generated results, 4 detection features including the total number of (1) initial detection seeds and (2) the final detected false-positive regions, (3) average and (4) sum of detection scores, were computed from each image. Then, by combining the features computed from two bilateral images of left and right breasts from either craniocaudal or mediolateral oblique view, two logistic regression models were trained and tested using a leave-one-case-out cross-validation method to predict the likelihood of each testing case being positive in the next subsequent screening. The new prediction model yielded the maximum prediction accuracy with an area under a ROC curve of AUC=0.65±0.017 and the maximum adjusted odds ratio of 4.49 with a 95% confidence interval of [2.95, 6.83]. The results also showed an increasing trend in the adjusted odds ratio and risk prediction scores (p<0.01). Thus, this study demonstrated that CAD-generated false-positives might include valuable information, which needs to be further explored for identifying and/or developing more effective imaging markers for predicting short-term breast cancer risk.

Frequency and characteristics of contralateral breast abnormalities following recall at screening mammography.

To determine the frequency and characteristics of contralateral, non-recalled breast abnormalities following recall at screening mammography.

Common genetic variation and novel loci associated with volumetric mammographic density.

Mammographic density (MD) is a strong and heritable intermediate phenotype of breast cancer, but much of its genetic variation remains unexplained.

The efficacy of using computer-aided detection (CAD) for detection of breast cancer in mammography screening: a systematic review.

Background Early detection of breast cancer (BC) is crucial in lowering the mortality. Purpose To present an overview of studies concerning computer-aided detection (CAD) in screening mammography for early detection of BC and compare diagnostic accuracy and recall rates (RR) of single reading (SR) with SR + CAD and double reading (DR) with SR + CAD. Material and Methods PRISMA guidelines were used as a review protocol. Articles on clinical trials concerning CAD for detection of BC in a screening population were included. The literature search resulted in 1522 records. A total of 1491 records were excluded by abstract and 18 were excluded by full text reading. A total of 13 articles were included. Results All but two studies from the SR vs. SR + CAD group showed an increased sensitivity and/or cancer detection rate (CDR) when adding CAD. The DR vs. SR + CAD group showed no significant differences in sensitivity and CDR. Adding CAD to SR increased the RR and decreased the specificity in all but one study. For the DR vs. SR + CAD group only one study reported a significant difference in RR. Conclusion All but two studies showed an increase in RR, sensitivity and CDR when adding CAD to SR. Compared to DR no statistically significant differences in sensitivity or CDR were reported. Additional studies based on organized population-based screening programs, with longer follow-up time, high-volume readers, and digital mammography are needed to evaluate the efficacy of CAD.

Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning.

Digital breast tomosynthesis (DBT) was developed in the field of breast cancer screening as a new tomographic technique to minimize the limitations of conventional digital mammography breast screening methods. A computer-aided detection (CAD) framework for mass detection in DBT has been developed and is described in this paper. The proposed framework operates on a set of two-dimensional (2D) slices. With plane-to-plane analysis on corresponding 2D slices from each DBT, it automatically learns complex patterns of 2D slices through a deep convolutional neural network (DCNN). It then applies multiple instance learning (MIL) with a randomized trees approach to classify DBT images based on extracted information from 2D slices. This CAD framework was developed and evaluated using 5040 2D image slices derived from 87 DBT volumes. The empirical results demonstrate that this proposed CAD framework achieves much better performance than CAD systems that use hand-crafted features and deep cardinality-restricted Bolzmann machines to detect masses in DBTs.

Radiation Risk Associated With X-Ray Mammography Screening: Communication and Exchange of Information via Tweets.

Growing BI-RADS category 3 lesions on follow-up breast ultrasound: malignancy rates and worrisome features.

To determine the frequency and malignancy rate among growing Breast Imaging Reporting and Data System (BI-RADS) category 3 lesions diagnosed on follow-up breast ultrasound (US) and to evaluate the radiological and clinical features associated with malignancy.

Investigation of Frequency Distribution of Breast Imaging Reporting and Data System (BIRADS) Classification and Epidemiological Factors Related to Breast Cancer in Iran: A 7-year Study (2010-2016).

The first cause of women mortality due to cancer is breast cancer. Mammography plays a central part in early detection of breast cancers. The screening methods can play a major role to reduce the morbidity and mortality rate due to this malignancy. We sought the basic data in this study on our population because knowing about the baseline data is apt and vital.

Evaluating the Training of Chinese-Speaking Community Health Workers to Implement a Small-Group Intervention Promoting Mammography.

This study evaluated the training of Chinese American Community Health Workers (CHWs) to implement a small-group mammography video and discussion program as part of a randomized controlled trial that had the goal to increase adherence to mammography screening guidelines among Chinese American women. A total of 26 Chinese American CHWs in the metropolitan Washington DC area, Southern California, and New York City participated in a 4-h training workshop and completed surveys before and after the workshop to assess their knowledge regarding mammography screening guidelines and human subjects protection rules. The results showed significantly increased knowledge of mammography screening guidelines and human subjects protection rules (both p < 0.01) after the training. CHWs were also trained to lead a discussion of the video, including screening benefits and misconceptions. Forty-three audio recordings of discussions led by 13 active CHWs were transcribed and qualitatively analyzed to assess implementation fidelity. Ten out of 13 active CHWs fully addressed about 3 of the 5 benefit items, and 11 out of 13 CHWs fully addressed more than 5 of the 9 misconception items. Chinese CHWs can be trained to implement research-based intervention programs. However, a one-time training resulted in moderate adherence to the discussion protocol. Ongoing or repeat trainings throughout the intervention period may be needed to enhance implementation fidelity.

Can Biannual Ultrasound Surveillance Detect Smaller Second Cancers or Detect Cancers Earlier in Patients with Breast Cancer History?

The aim of the work described here was to evaluate whether surveillance with biannual ultrasound (US) plus annual mammography (biannual group) for women with a history of breast cancer surgery results in earlier detection or in the detection of smaller second cancers than annual US plus mammography (annual group). Additionally, we compared the prevalence of distant metastases or palpable second cancers between the biannual and annual groups. The institutional review board of our institution approved this retrospective study, and patient consent was waived. Between January 2011 and December 2012, we retrospectively reviewed the clinical and imaging follow-up of 3023 patients with mammographic and US surveillance after breast cancer surgery to assess second cancers detected by local surveillance (locoregional recurrence, contralateral breast cancer or distant metastasis). The biannual and annual groups were divided with respect to the mean surveillance interval and compared with respect to clinicopathologic findings. Multivariable logistic regression with propensity score methods was used to examine the effect of the type of surveillance on outcomes. As for the size of the second cancer, no difference was seen between the biannual and annual groups (12.8 ± 6.6 mm vs. 14.1 ± 7.1 mm, p = 0.461); neither was there a significant difference between the groups in the presence of symptoms at the time of diagnosis of the second cancer (17.0% [8/47] vs. 10% [2/20], p = 0.711). Regardless of detection by local surveillance, the prevalence of distant metastases did not differ between the two groups (1.1% [27/2370] vs. 1.0% [7/653], p = 0.88) on univariate or multivariate analysis. The results of our retrospective study indicate that second cancers detected by biannual US surveillance in patients with a history of breast cancer surgery are not smaller and do not occur earlier than those detected by annual US surveillance. However, a randomized controlled study is required to verify these results before they can be generalized to clinical practice.

Early non-invasive detection of breast cancer using exhaled breath and urine analysis.

The main focus of this pilot study is to develop a statistical approach that is suitable to model data obtained by different detection methods. The methods used in this study examine the possibility to detect early breast cancer (BC) by exhaled breath and urine samples analysis. Exhaled breath samples were collected from 48 breast cancer patients and 45 healthy women that served as a control group. Urine samples were collected from 37 patients who were diagnosed with breast cancer based on physical or mammography tests prior to any surgery, and from 36 healthy women. Two commercial electronic noses (ENs) were used for the exhaled breath analysis. Urine samples were analyzed using Gas-Chromatography Mass-Spectrometry (GC-MS). Statistical analysis of results is based on an artificial neural network (ANN) obtained following feature extraction and feature selection processes. The model obtained allows classification of breast cancer patients with an accuracy of 95.2% ± 7.7% using data of one EN, and an accuracy of 85% for the other EN and for urine samples. The developed statistical analysis method enables accurate classification of patients as healthy or with BC based on simple non-invasive exhaled breath and a urine sample analysis. This study demonstrates that available commercial ENs can be used, provided that the data analysis is carried out using an appropriate scheme.

Improvement in diagnostic performance of breast cancer: comparison between conventional digital mammography alone and conventional mammography plus digital breast tomosynthesis.

The aim of this study was to determine if the diagnostic performance of breast lesion examinations could be improved using both digital breast tomosynthesis (DBT) and conventional digital mammography (CDM).

An overview of mammographic density and its association with breast cancer.

In 2017, breast cancer became the most commonly diagnosed cancer among women in the US. After lung cancer, breast cancer is the leading cause of cancer-related mortality in women. The breast consists of several components, including milk storage glands, milk ducts made of epithelial cells, adipose tissue, and stromal tissue. Mammographic density (MD) is based on the proportion of stromal, epithelial, and adipose tissue. Women with high MD have more stromal and epithelial cells and less fatty adipose tissue, and are more likely to develop breast cancer in their lifetime compared to women with low MD. Because of this correlation, high MD is an independent risk factor for breast cancer. Further, mammographic screening is less effective in detecting suspicious lesions in dense breast tissue, which can lead to late-stage diagnosis. Molecular differences between dense and non-dense breast tissues explain the underlying biological reasons for why women with dense breasts are at a higher risk for developing breast cancer. The goal of this review is to highlight the current molecular understanding of MD, its association with breast cancer risk, the demographics pertaining to MD, and the environmental factors that modulate MD. Finally, we will review the current legislation regarding the disclosure of MD on a traditional screening mammogram and the supplemental screening options available to women with dense breast tissue.

A Case of Primary Spinddle Cell Carcinoma of the Breast.

A 76-year-old female underwent breast-conserving surgery of the right breast and sentinel lymph node biopsy for primary breast cancer. Three years later, mammography and ultrasonography showed a small nodule in the right breast. There was nothing abnormal in the left breast. Three months later, she complained of a huge and rapid growing mass in the left breast. Malignant cells were obtained on fine needle aspiration biopsy in the right breast tumor. But it was not possible to diagnose whether the left breast tumor was benign or malignant on fine needle aspiration biopsy and needle biopsy. Bilateral mastectomy and sentinel lymph node biopsy of the right side were performed. Pathological diagnosis were squamous cell carcinoma of the right breast and spindle cell carcinoma of the left breast. Although the patient was treated with adjuvant chemotherapy, she had an early relapse with pleural, lung and bone metastases. The patient died approximately 8 months after operation. Spindle cell carcinoma presents many problems about therapy and prognosis. Further accumulation analysis is necessary.

Diagnosis of a Non-Invasive Ductal Carcinoma, Assisted by Long-Term Follow-Up of Spontaneous Nipple Discharge - A Case Report.

We report a case of a non-invasive ductal carcinoma revealed on long-term follow-up of spontaneous nipple discharge. The patient, a 36-year-old woman, had noticed spontaneous nipple discharge from both breasts over a 3-year period. Mammography and ultrasonography did not reveal any lesions in the breasts. The nipple discharge from her left breast stopped 36 months after initial clinical assessment. However, the nipple discharges from her right breast transformed into a bloody discharge from a single duct. Ultrasonography showed a tumor, 6mm in diameter, in the upper-outer quadrant of her right breast. A core needle biopsy for breast tumor led to a pathological diagnosis of non-invasive ductal carcinoma. We conducted a whole-body clinical examination but no metastatic lesions were detected. Subsequently, we performed breastconserving surgery and sentinel lymph node biopsy. The pathological diagnosis was non-invasive ductal carcinoma in situ. The tumor was positive for estrogen and progesterone receptors, but negative for HER2/neu. The Ki-67 labeling index was 5%. The surgical margin was negative. We diagnosed the tumor as TisN0M0=Stage 0. Endocrine therapy comprising tamoxifen (20mg/day)was initiated. Four years after surgery, she was well without any metastases.

Successful Breast Conserving Surgery for Simultaneous and Ipsilateral Multiple Breast Carcinomas of Young Patient - A Case Report.

We report a case of a simultaneous and ipsilateral multiple breast carcinoma.The patient was 35-year-old woman.She was noticed a breast lump on her right breast, and visited our hospital.Mammography showed a tumor accompanied by spiculation on her right breast.Ultrasonography revealed 2 tumors with irregular margins, 23mm in diameter and 12mm in diameter, and were observed on C area of her right breast.The continuity of the 2 tumors was not clear.Core needle biopsies for each breast tumors led to a diagnosis.The pathological diagnosis was invasive ductal carcinoma.We checked up whole body. There was no metastatic lesion.We performed breast conserving surgery and sentinel node biopsy.The pathological diagnosis was invasive ductal carcinoma, positive for estrogen receptor and progesterone receptor, negative for HER2/neu.The Ki-67 positive cell index was 30%.The surgical margin was negative.We diagnosed T2N0M0=Stage II A.She was started the endocrine therapy by LH-RH agonist and tamoxifen.Four years after surgery, she was well without metastases.

Novel Assessment Tool For Coronary Artery Disease Severity During Screening Mammography.

Breast arterial calcifications (BACs) are common findings on mammography which are associated with an increased risk of the coronary artery disease (CAD). Our aim in the current study was to design measurement instruments of CAD prediction, with or without BACs, and its discriminatory validity in the diagnosis of CAD (expressed by Syntax score) in women. This was observational, prospective study in the women cohort which underwent mammography and angiography. In this study we have demonstrated that the total 'The Breast Arterial Calcification and Coronary Artery Disease Scale' (BACCADS) was good additional diagnostic tool for detection of patients with severe CAD.

Factors associated with ever use of mammography in a limited resource setting. A mixed methods study.

To evaluate facilitators and barriers influencing mammography screening participation among women.

Proton Partial Breast Irradiation: Detailed Description of Acute Clinico-Radiologic Effects.