DBT finds smaller cancers than 2D mammography does
Screening with digital breast tomosynthesis (DBT) identifies smaller breast...Read more on AuntMinnie.comRelated Reading: 2D synthesized DBT screening is ready for prime time Radiologists can trust DBT density measurements Patients with co-pays less likely to choose DBT DBT does not boost BI-RADS 3 category use Study finds DBT matches -- or surpasses -- FFDM
Three-dimensional mammography screening detected 34 percent more breast cancer tumors than the traditional process of a single image, according to a study.
AbstractBackgroundDetection of breast cancers by mammographic screening confers a survival advantage of 20 –50% compared to symptomatic presentations. The improved prognosis is only partly explained by stage migration. The distribution of the molecular subtypes of screen-detected breast cancer (SDBC) or their HER2 status has not been studied extensively. We wished to address these issues through the st udy of a large series of SDBC, with other presentations serving as controls.DesignDeidentified cases of female invasive cancer, diagnosed in Australia and New Zealand during 2005 –2015, were retrieved from the Br...
ConclusionsScreening status was strongly associated with subtype and this association persisted after adjustment for covariates including tumour stage and grade. After correcting for lead-time bias and adjusting for stage, subtype, grade and socio-demographic variables, no significant survival difference was demonstrated for women with screen-detected cancer in the 5-year period post-diagnosis. Since we are adjusting for stage, subtype and other variables, the lack of difference between these groups would be expected but has not been demonstrated in studies which do not correct for lead time bias.
(Lund University) After screening 15 000 women over a period of five years, a major clinical study in Sweden has shown that 3D mammography, or breast tomosynthesis, detects over 30 percent more cancers compared to traditional mammography - with a majority of the detected tumors proving to be invasive cancers. The extensive screening study was conducted by Lund University and Sk å ne University Hospital in Sweden, and the results are now published in the reputable journal Lancet Oncology.
CONCLUSION: The screening detection rate in age-eligible breast cancer patients was lower than published population-wide screening rates. Geographic mapping of the diagnostic interval and DAU use reveals regional variations in cancer diagnostic care that need to be addressed. PMID: 30303656 [PubMed - in process]
iCADâs digital breast tomosynthesis cancer detection software could make a big splash at the upcoming Radiological Society of North America meeting if recent study results are any indication. The solution will also be displayed at The European Society of Breast Imaging annual meeting, occurring this weekend. The Nashua, NH-based company said its software, which incorporates artificial intelligence (AI) and machine learning, had exceptional study results that demonstrated significant advantages for digital breast tomosynthesis. In the study, 24 radiologists reviewed about 260 3D exams. Of that number, 65 w...
(MedPage Today) -- News, features, and commentary about cancer-related issues
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(American Association for Cancer Research) An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.
Conclusions: This study demonstrates that automatic deep learning CNN methods can identify nuanced mammographic imaging features to distinguish recalled-benign images from malignant and negative cases, which may lead to a computerized clinical toolkit to help reduce false recalls. Clin Cancer Res; 1-8. ©2018 AACR. PMID: 30309858 [PubMed - as supplied by publisher]