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Sao Paulo Medical Journal = Revista... 2011Mammography is the best method for breast-cancer screening and is capable of reducing mortality rates. Studies that have assessed the clinical impact of mammography have... (Comparative Study)
Comparative Study Meta-Analysis Review
CONTEXT AND OBJECTIVE
Mammography is the best method for breast-cancer screening and is capable of reducing mortality rates. Studies that have assessed the clinical impact of mammography have been carried out using film mammography. Digital mammography has been proposed as a substitute for film mammography given the benefits inherent to digital technology. The aim of this study was to compare the performance of digital and film mammography.
DESIGN
Systematic review and meta-analysis.
METHOD
The Medline, Scopus, Embase and Lilacs databases were searched looking for paired studies, cohorts and randomized controlled trials published up to 2009 that compared the performance of digital and film mammography, with regard to cancer detection, recall rates and tumor characteristics. The reference lists of included studies were checked for any relevant citations.
RESULTS
A total of 11 studies involving 190,322 digital and 638,348 film mammography images were included. The cancer detection rates were significantly higher for digital mammography than for film mammography (risk relative, RR = 1.17; 95% confidence interval, CI = 1.06-1.29; I² = 19%). The advantage of digital mammography seemed greatest among patients between 50 and 60 years of age. There were no significant differences between the two methods regarding patient recall rates or the characteristics of the tumors detected.
CONCLUSION
The cancer detection rates using digital mammography are slightly higher than the rates using film mammography. There are no significant differences in recall rates between film and digital mammography. The characteristics of the tumors are similar in patients undergoing the two methods.
Topics: Breast Neoplasms; Female; Humans; Mammography; Middle Aged; X-Ray Film
PubMed: 21971901
DOI: 10.1590/s1516-31802011000400009 -
Journal of Digital Imaging Aug 1998Mammography is the most effective method for early detection of breast cancer and yet, 10% to 30% of women who have breast cancer and undergo mammography have negative... (Review)
Review
Mammography is the most effective method for early detection of breast cancer and yet, 10% to 30% of women who have breast cancer and undergo mammography have negative mammograms. Furthermore, of the women who are sent to biopsy, only 20% to 40% actually have breast cancer. Quantitative analysis of the radiographic features of microcalcifications and masses may help radiologists improve their specificity.
Topics: Breast Neoplasms; Female; Humans; Mammography; Radiation Dosage; Radiographic Image Enhancement
PubMed: 9735459
DOI: 10.1007/BF03168292 -
Radiologic Technology Jan 2017Innovation in breast imaging techniques is leading to better breast cancer detection. Concurrently, breast cancer screening recommendations are changing, and breast... (Review)
Review
Innovation in breast imaging techniques is leading to better breast cancer detection. Concurrently, breast cancer screening recommendations are changing, and breast density is becoming a more significant factor in breast cancer screening. Digital mammography has become the preferred screening method, with more breast imaging centers including the use of digital breast tomosynthesis (DBT). The technology's role in breast imaging has not been clarified fully, and several clinical trials are addressing DBT. This article presents research findings on digital mammography and DBT and explores the future role of 3-D breast imaging.
Topics: Breast Neoplasms; Early Detection of Cancer; Female; Humans; Imaging, Three-Dimensional; Mammography; Radiographic Image Enhancement
PubMed: 28298592
DOI: No ID Found -
Radiological Physics and Technology Jul 2014There have been major advances in the field of breast cancer imaging since the early 1970s, both in technological improvements and in the use of the methods of medical... (Review)
Review
There have been major advances in the field of breast cancer imaging since the early 1970s, both in technological improvements and in the use of the methods of medical physics and image analysis to optimize image quality. The introduction of digital mammography in 2000 provided a marked improvement in imaging of dense breasts. In addition, it became possible to produce tomographic and functional images on modified digital mammography systems. Digital imaging also greatly facilitated the extraction of quantitative information from images. My laboratory has been fortunate in being able to participate in some of these exciting developments. I will highlight some of the areas of our research interest which include modeling of the image formation process, development of high-resolution X-ray detectors for digital mammography and investigating new methods for analyzing image quality. I will also describe our more recent work on developing new applications of digital mammography including tomosynthesis, contrast-enhanced mammography, and measurement of breast density. Finally, I will point to a new area for our research--the application of the techniques of medical imaging to making pathology more quantitative to contribute to use of biomarkers for better characterizing breast cancer and directing therapeutic decisions.
Topics: Breast; Humans; Mammography; Radiographic Image Enhancement; Research; Universities
PubMed: 24961727
DOI: 10.1007/s12194-014-0277-y -
Tomography (Ann Arbor, Mich.) Jun 2023Breast cancer remains the leading cause of cancer-related deaths in women worldwide. Current screening regimens and clinical breast cancer risk assessment models use... (Review)
Review
Breast cancer remains the leading cause of cancer-related deaths in women worldwide. Current screening regimens and clinical breast cancer risk assessment models use risk factors such as demographics and patient history to guide policy and assess risk. Applications of artificial intelligence methods (AI) such as deep learning (DL) and convolutional neural networks (CNNs) to evaluate individual patient information and imaging showed promise as personalized risk models. We reviewed the current literature for studies related to deep learning and convolutional neural networks with digital mammography for assessing breast cancer risk. We discussed the literature and examined the ongoing and future applications of deep learning techniques in breast cancer risk modeling.
Topics: Female; Humans; Breast Neoplasms; Artificial Intelligence; Deep Learning; Mammography; Breast
PubMed: 37368543
DOI: 10.3390/tomography9030091 -
Current Women's Health Reports Apr 2002Digital mammography, using novel detector technology, has been shown to be at least as sensitive as screen-film mammography for detecting early breast cancer. However,... (Review)
Review
Digital mammography, using novel detector technology, has been shown to be at least as sensitive as screen-film mammography for detecting early breast cancer. However, there are barriers to overcome, particularly in soft-copy display, workstation design, and equipment cost. These problems are actively being addressed and are solvable, eventually allowing digital mammography to assume a "prime time" role.
Topics: Breast Neoplasms; Computer Terminals; Female; Humans; Mammography; Radiographic Image Enhancement; Sensitivity and Specificity
PubMed: 12116601
DOI: No ID Found -
Gynecologie, Obstetrique & Fertilite Oct 2003Digital mammography is an irreversible evolution which will gradually replace analog mammography. Detector technology differs among manufacturers. Expected clinical... (Review)
Review
Digital mammography is an irreversible evolution which will gradually replace analog mammography. Detector technology differs among manufacturers. Expected clinical advantages are improved diagnostic performances, improved reproducibility, dose reduction, dedicated applications (CAD), archiving and telemammography. Limiting problems are at cost, reorganization of the breast imaging unit and the medical workflow.
Topics: Breast Neoplasms; Equipment Design; Female; Humans; Mammography; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted
PubMed: 14642945
DOI: 10.1016/j.gyobfe.2003.08.005 -
Nihon Hoshasen Gijutsu Gakkai Zasshi Jun 2003
Review
Topics: Breast Neoplasms; Female; Humans; Mammography; Radiation Dosage; Radiographic Image Enhancement
PubMed: 12881672
DOI: 10.6009/jjrt.kj00003174148 -
Technology in Cancer Research &... Aug 2004Interest in digital radiography was stimulated by the enthusiastic acceptance of computed tomography in the early 1970s. It quickly became apparent to the medical... (Review)
Review
Interest in digital radiography was stimulated by the enthusiastic acceptance of computed tomography in the early 1970s. It quickly became apparent to the medical community that images with improved information content, whose display characteristics could be manipulated by the viewer, provided many advantages. Subsequently, digital systems for subtraction angiography and later for conventional projection radiography and fluoroscopy were developed. The timing of the introduction of these systems was highly dependent on the readiness of certain key component technologies to meet the requirements of each of these applications. These components are the x-ray detectors, analog to digital converters, computers, data storage systems and high-resolution electronic displays and printers used in image acquisition, storage and display. Mammography represents one of the most demanding radiographic applications, simultaneously requiring excellent contrast sensitivity, high spatial resolution, and wide dynamic range at as low as radiation dose to the breast as is reasonably achievable while meeting the other requirements. For this reason, it is one of the last radiographic procedures to "go digital". Here, some of the considerations related to the detector technology for digital mammography will be discussed and systems currently available will be described.
Topics: Breast; Humans; Image Processing, Computer-Assisted; Mammography; Models, Statistical; Phosphorus; Radiographic Image Enhancement; Sensitivity and Specificity; Statistics as Topic; X-Ray Intensifying Screens
PubMed: 15270582
DOI: 10.1177/153303460400300401 -
Canadian Association of Radiologists... Feb 2018This pictorial essay demonstrates the variable appearances of ductal carcinoma in situ on full-field digital mammography, synthesized mammography, and digital breast... (Review)
Review
This pictorial essay demonstrates the variable appearances of ductal carcinoma in situ on full-field digital mammography, synthesized mammography, and digital breast tomosynthesis. The spectrum of intercase and intracase variability suggests further refinement of reconstruction algorithms for synthesized mammography may be necessary to maximize early detection of ductal carcinoma in situ.
Topics: Algorithms; Breast; Breast Neoplasms; Carcinoma, Intraductal, Noninfiltrating; Humans; Image Processing, Computer-Assisted; Mammography; Radiographic Image Enhancement
PubMed: 28947267
DOI: 10.1016/j.carj.2017.04.005