Circadian Thermal Sensing to Detect Breast Disease
Early-Stage Breast CarcinomaThe purpose of this study is to determine if Cyrcadia's Circadian Biometric Recorder (CBR™), which is attached to soft biometric patches worn on the body, can improve early breast cancer detection along with mammography or as a stand alone device.
Prolactin Receptor and Breast Diseases
Benign Breast DiseaseBreast CancerProlactin is known to play an important role in breast development and differentiation. Thus proliferative breast diseases are good models to unravel PRl / PRLR function in proliferative processes. The aim of this project is to identify and to characterize new mutants of the prolactin receptor gene within cohorts of benign or malign breast diseases with low or high occurrence frequency in human populations
Breast Ultrasonography and Polycystic Ovary Syndrome
Breast DiseasesPolycystic OvaryThe results of the evaluation of breast ultrasonography results of patients with polycystic ovary syndrome diagnosis over 30 years of age will be evaluated. Patients admitted to the outpatient clinic and rotterdam criteria according to laboratory data and polycystic ovary syndrome patients diagnosed by the same radiologist the next day after the end of menstrual breast ultrasonography. The aim of this study is to show the association of polycystic ovary syndrome and fibrocystic breast.
Promoting Earlier Detection of Breast Cancer in Rwanda: Scaleup in the National Health Care System...
Breast CancerBenign Breast DiseaseThis observational study evaluates scale-up of a breast cancer early detection program in Rwanda that was initially piloted in a single district. Specifically investigators will examine patient volume, service delivery, loss-to-follow-up rates, and cancer detection rates noted following implementation of scale-up to 3 additional districts. For scaleup, breast cancer screening with CBE was added to a cervical cancer screening initiative, in a combined Women's Cancer Early Detection Program (WCEDP).
Using Deep Learning and Radiomics to Diagnose Benign and Malignant Breast Lesions Based on Ultrasound...
Breast DiseasesThis retrospective study aimed to create a prediction model using deep learning and radiomics features extracted from intratumoral and peritumoral regions of breast lesions in ultrasound images, to diagnose benign and malignant breast lesions with BI-RADS 4 classification. Materials and methods: Patients who visited in The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital were collected. Their general clinical features, information on preoperative ultrasound diagnosis, and postoperative pathologic data were reviewed.
Multimodal Ultrasound Diagnosis Characteristics of Bi-rads Class 4 Breast Lesions
Breast DiseaseObjective: To explore the potential association between the multimodal ultrasound characteristics and pathological classification of BI-RADS category 4 breast lesions, so as to clarify the diagnostic characteristics of multimodal ultrasound in different pathological types BI-RADS category 4 breast lesions. Materials and methods: Patients who visited in The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital were collected. Their general clinical features, information on preoperative ultrasound diagnosis, and postoperative pathologic data were reviewed.
New Mammographic Techniques Versus MRI in Assessment of Breast Lesions
Breast DiseasesValue of New Mammography Techniques in Comparison to Dynamic Contrast-Enhanced MRI of the Breast in the Detection and Diagnosis of Breast lesions
Study Comparing the PET Scan and MRI in Identifying Breast Malignancies in Women With Breast Abnormalities...
Breast DiseaseThis is a study looking at advanced imaging such as PET/CT and MRI to see if they can provide a more accurate assessment of the patient with dense breasts or difficult to interpret mammograms. In addition, the ability to determine whether one or the other is more accurate or whether both together would be appropriate in this clinical situation, may be able to be measured. The MRI studies are very sensitive for detection of breast histopathology but less specific in differentiating between small low grade malignancies are more benign pathologies. Multifocal pathology can be challenging in determining site(s) for biopsy. PET scanning is specific in the measurement of metabolic glucose activity of various histopathologies and is accurate in differentiating aggressive from benign pathology in multifocal breast disease. A further drawback of PET is the lack of ability to observe lesions less than 3-4mm in diameter. In select cases the combination of MR and PET/CT is able to come to a more conclusive diagnosis - specifically with bilateral or multifocal breast disease.
Genetics of Mammographic Appearances and Patterns (The GenMap Study)
Benign Breast DiseaseHigh mammographic density (HMD) is the strongest risk factor for non-familial breast cancer apart from age and gender. Studies of sisters and twins suggest that approximately 67% of the variation in density is attributable to common genetic factors. However, to date, efforts to identify genetic determinants of HMD have achieved limited success. We and others (Boyd et al Lancet Oncol 2009) postulate that this lack of progress in identifying genetic determinants of density is related to a failure to study younger women and misclassification of density. As women age, their breast tissues undergo atrophy, which is manifested radiologically as a decrease in mammographic density, resulting in a convergence of density values and a masking of inter-person variation. This protocol is intended to demonstrate the feasibility of methods that we plan to use in a full-scale analysis of mammographic density among women under age 50 years who receive care at the University of Vermont, Fletcher Allen Health Care (FAHC) and have been followed through the Vermont Breast Cancer Surveillance System (VBCSS). The Hormonal and Reproductive Epidemiology Branch (HREB) is currently conducting a cross-sectional study entitled, Breast Radiology Evaluation and Study of Tissues (BREAST) Stamp Project which aims to understand why mammographically dense tissues are related to elevated breast cancer risk. This project is being conducted within the VBCSS using breast cancer awareness Stamp Act funds. The BREAST Stamp project has focused on women between the ages of 40-65 years who were referred for radiologically-guided biopsy to evaluate an abnormality identified on a screening mammogram. The study has successfully enrolled over 400 women with collection of questionnaires, buccal and blood samples, and tissues. The study will continue recruiting through May 2010, with a targeted enrollment of 450-500 women. Through the infrastructure developed for the BREAST Stamp Project, mammographic volumetric density data, assessed using a novel method with density phantoms developed at UCSF, has been collected on approximately 25,000 screened women of all ages from February 2008-present. The current protocol describes a study in which we propose to capitalize on infrastructure that has been established through the BREAST Stamp Project. We propose to perform this study in two phases: Phase one will be a feasibility study: specifically, we propose to demonstrate that we can use a mailing to collect Oragene tube format saliva collection kits as a source of germline DNA and a short self-administered questionnaire. This collection of specimens and data will be used to inform the launch of phase two, the full-scale study to identify determinants of mammographic volumetric density among approximately 10,000 women less than 50 years of age for whom raw images and density data are already collected. During the first phase we hope to demonstrate feasibility by achieving at least 60% participation with unbiased representation of subjects with regard to demographics and volumetric density measurements. Once feasibility of this approach is established, we propose to launch the full-scale study by contacting the remaining (approximately 10,000) women with existing volumetric density data to collect questionnaires and DNA samples necessary to delineate the genetic determinants of mammographic density, as well as to investigate hypothesized risk factors for mammographic density and breast cancer risk, such as alcohol intake, cigarette smoking, and breastfeeding history.
Studying Normal Breast Tissue and Cancer Risk
Breast NeoplasmsNeoplasms by Site3 moreBreast cancer is the most common cancer among women in the United States. Breast cancer research has been hampered by the difficulty in collecting normal breast tissue. In this study, researchers will obtain samples of normal breast tissue from organ donors and will collect risk-factor data from next-of-kin. The purpose of this study is to learn how normal breast develops and responds to stresses that are known to increase a woman s chance of developing breast cancer. Following the breast-tissue donation from 20 volunteers, surgical technicians will make small incisions in the skin and tissue of the breast and remove several samples measuring about one-inch. Technicians also will take samples of the uterine lining to estimate the date of the last menstrual period. The tissue will then be sent to the National Cancer Institute for laboratory research studies. Steps will be taken to ensure that the identity of the participants remains confidential.