Topic
Mammography
About: Mammography is a research topic. Over the lifetime, 20643 publications have been published within this topic receiving 513679 citations.
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TL;DR: Addition of MRI to routine clinical care in patients with nonpalpable breast cancer was paradoxically associated with an increased re-excision rate, and breast MRI should not be used routinely for preoperative work-up of patients withNonpalpables breast cancer.
270 citations
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TL;DR: Evaluating the feasibility of using thermal imaging as a potential tool for detecting breast cancer using 50 IR breast images collected from Singapore General Hospital, Singapore found an accuracy of 88.10%, sensitivity and specificity of 85.71% and 90.48% respectively.
Abstract: Breast cancer is a leading cause of death nowadays in women throughout the world In developed countries, it is the most common type of cancer in women, and it is the second or third most common malignancy in developing countries The cancer incidence is gradually increasing and remains a significant public health concern The limitations of mammography as a screening and diagnostic modality, especially in young women with dense breasts, necessitated the development of novel and more effective strategies with high sensitivity and specificity Thermal imaging (thermography) is a noninvasive imaging procedure used to record the thermal patterns using Infrared (IR) camera The aim of this study is to evaluate the feasibility of using thermal imaging as a potential tool for detecting breast cancer In this work, we have used 50 IR breast images (25 normal and 25 cancerous) collected from Singapore General Hospital, Singapore Texture features were extracted from co-occurrence matrix and run length matrix Subsequently, these features were fed to the Support Vector Machine (SVM) classifier for automatic classification of normal and malignant breast conditions Our proposed system gave an accuracy of 8810%, sensitivity and specificity of 8571% and 9048% respectively
270 citations
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TL;DR: Transmission ultrasound computer-assisted tomography has been developed for detection and diagnosis of cancer in the breast and estimates of sensitivity and specificity are approaching those of X-ray mammography techniques.
Abstract: Transmission ultrasound computer-assisted tomography has been developed for detection and diagnosis of cancer in the breast. Pulses of ultrasound (8 MHz ±3 MHz) are transmitted through the breast in a coronal plane from a plurality of directions. The received signal is processed for arrival time and for changes in amplitude. The measured values for arrival time and attenuation are used in a convolution-back projection reconstruction algorithm to obtain estimates of the two-dimensional distribution of acoustic speed and attenuation within the scanned planes of the breast. Over 1000 images in breasts of approximately 150 patients have been scanned of whom 30 had biopsy proven cancer. Some common characteristics of the reconstructed images which are associated with cancer are 1) increased speed relative to the embedding tissue associated with 2) decreased attenuation in central region of the lesion usually with 3) a ring of higher attenuation at the border of the lesion. Current estimates of sensitivity and specificity of this system for cancer are approaching those of X-ray mammography techniques.
269 citations
01 Jan 2008
TL;DR: DITI is a valuable adjunct to mammography and ultrasound, especially in women with dense breast parenchyma, and is significantly more likely to be associated with malignancy than overall risk scores of 0.
Abstract: BACKGROUND: Digital infrared thermal imaging (DITI) has resurfaced in this era of modernized computer technology. Its role in the detection of breast cancer is evaluated. METHODS: In this prospective clinical trial, 92 patients for whom a breast biopsy was recommended based on prior mammogram or ultrasound underwent DITI. Three scores were generated: an overall risk score in the screening mode, a clinical score based on patient information, and a third assessment by artificial neural network. RESULTS: Sixty of 94 biopsies were malignant and 34 were benign. DITI identified 58 of 60 malignancies, with 97% sensitivity, 44% specificity, and 82% negative predictive value depending on the mode used. Compared to an overall risk score of 0, a score of 3 or greater was significantly more likely to be associated with malignancy (30% vs 90%, P .03). CONCLUSION: DITI is a valuable adjunct to mammography and ultrasound, especially in women with dense breast parenchyma. © 2008 Elsevier Inc. All rights reserved.
268 citations
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TL;DR: The available evidence indicates that mammographic parenchymal patterns do, at least in part, meet the criteria outlined in the introduction of this paper.
Abstract: There is now a large amount of evidence showing that mammographic densities are an indicator of increased risk of breast cancer. There is as yet no generally agreed upon and recognized method of classifying these densities, although the available evidence shows that quantitative description of densities creates larger gradients of risk than Wolfe's classification and larger risk gradients than most other risk factors for breast cancer. It seems likely that improved methods of describing densities quantitatively, and possibly other methods of characterizing the tissue changes that are responsible for the densities, will allow greater discrimination. However, it is already clear that breast cancer develops in a large number of women who do not have radiologic changes indicating increased risk, and that it is unlikely that mammographic pattern, or any other risk factor for breast cancer identified to date, will be useful for the selection of women for mammographic screening. Although mammographic densities are associated with an increased risk of developing histologic changes that are risk factors for breast cancer, the histologic feature most consistently associated with mammographic densities is stromal fibrosis. We suggest that the relation between stromal fibrosis and risk of breast cancer can be explained by the known actions of a variety of growth factors that are thought to play a role in a number of aspects of breast development and carcinogenesis. The association between mammographic densities and several other risk factors for breast cancer suggests that these factors may also modulate the activity of growth factors in breast tissue, and that this may be the means by which they influence breast cancer risk. Further research is needed to determine whether differences in the activity of growth factors in breast tissue can be found in association with radiologic and other risk factors for breast cancer. The available evidence indicates, therefore, that mammographic parenchymal patterns do, at least in part, meet the criteria outlined in the introduction of this paper. Some mammographic appearances are associated with a substantial increase in the risk of breast cancer, and, as shown by observations on the effects of hormone use, are capable of change. Mammographic densities have also been found to be associated with biochemical characteristics of possible relevance to carcinogenesis. The appearances that are related to risk may, therefore, be most useful as a means of investigating the etiology of breast cancer and of testing hypotheses about potential preventive strategies.
268 citations