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News | September 03, 2008 Molecular Breast Imaging May be More Effective than Mammography News | Artificial Intelligence | July 03, 2019 Therapixel Appoints Matthieu Leclerc-Chalvet as CEO Artificial intelligence (AI) breast cancer screening specialist Therapixel announced the appointment of Matthieu… read more Image courtesy of Imago Systems Qlarity Imaging’s software is used to assist radiologists in the assessment and characterization of breast lesions. Imaging features are synthesized by an artificial intelligence algorithm into a single value, the QI score, which is analyzed relative to a database of reference abnormalities with known ground truth. Image courtesy of Business Wire. News | Mammography | August 14, 2019 Imago Systems Announces Collaboration With Mayo Clinic for Breast Imaging Image visualization company Imago Systems announced it has signed a know-how license with Mayo Clinic. The multi-year… read more News | Mammography Reporting Software | July 26, 2019 Ikonopedia Releases Automated Combined Reporting Package at AHRA Ikonopedia showcased its recently released Automated Combined Reporting package and its entire suite of structured… read more News | Breast Imaging | August 02, 2019 Volpara to Distribute Screenpoint Medical’s Transpara AI Solution Volpara Solutions and ScreenPoint Medical BV signed an agreement under which Volpara will sell ScreenPoint’s Transpara… read more Technology | Breast Biopsy Systems | July 24, 2019 Fujifilm Releases Tomosynthesis Biopsy Option for Aspire Cristalle Mammography System Fujifilm Medical Systems U.S.A. Inc. recently expanded its breast imaging solutions with the launch of its… read more Feature | Artificial Intelligence | July 19, 2019 | Michal Chorev AI Models Predict Breast Cancer With Radiologist-level Accuracy Breast cancer is the global leading cause of cancer-related deaths in women, and the most commonly diagnosed cancer… read more IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017, and who had health records for at least one year prior to the mammogram. The algorithm was trained on 9,611 mammograms. Image courtesy of Radiology. News | Mammography | July 10, 2019 SimonMed Imaging Implements ProFound AI for 3-D Tomosynthesis Arizona-based SimonMed Imaging announced their implementation of the first U.S. Food and Drug Administration (FDA)-… read more Technology | Mammography Reporting Software | July 25, 2019 Hologic Partners With MagView to Develop Unifi EQUIP Solution Hologic announced a partnership with mammography information solutions provider MagView to develop Unifi EQUIP, an… read more Technology | Artificial Intelligence | July 18, 2019 Paragon Biosciences Launches Qlarity Imaging to Advance FDA-cleared AI Breast Cancer Diagnosis System Paragon Biosciences LLC announced the launch of its seventh portfolio company, Qlarity Imaging LLC, which was founded… read more News | Radiology Business | June 26, 2019 Konica Minolta Healthcare and the Emory Healthcare Innovation Hub Partner to Drive Innovation in Healthcare Konica Minolta Healthcare Americas, Inc. read more Related Content September 4, 2008 – In the largest-ever study to compare molecular breast imaging (MBI) to mammography, researchers have shown that MBI can detect three times as many cancers in women who have dense breast patterns on their mammogram and are at increased risk of breast cancer.According to study results are being presented this week at the American Society of Clinical Oncology’s 2008 Breast Cancer Symposium in Washington, D.C., a radioactive tracer used to detect cancer inside dense breasts, when compared to mammograms, revealed more tumors and giving fewer false alarms, doctors reported Wednesday.The study, funded by Susan G. Komen for the Cure foundation and Bristol-Myers Squibb, maker of the imaging agent used in the study, analyzed findings on screening MBI and screening mammography (film or digital) in 940 high-risk women with mammographically confirmed dense breasts.The women in the study were screened with both MBI and mammography. Participants had to meet two criteria. First, their breasts were determined to be dense by a previous mammogram. Second, they had an increased risk of breast cancer due to personal or family history, a genetic mutation related to breast cancer, a previous precancerous condition, or a history of radiation therapy to the chest.A total of 13 tumors in 12 patients were detected: eight by MBI alone, one by mammography alone, two by both techniques, and two by neither. The recall rates (the number of women who needed follow-up testing) were 7.7 percent for MBI versus 9.4 percent for mammography. Of the 36 biopsies prompted by MBI, 27.8 percent were positive for cancer; of the 17 biopsies prompted by mammography, 17.6 percent were positive for cancer.Researchers are continuing to follow all of the patients in the study, and so far 375 have been followed for 15 months or longer after the initial screening. Based on follow-up screening in these women, researchers determined the sensitivity (percent who were accurately diagnosed as positive for the disease) and specificity (percent of women who were accurately diagnosed as negative for the disease) of the two techniques. The sensitivity and specificity for MBI were 75 percent and 93.2 percent, respectively. By comparison, the sensitivity and specificity for mammography were 25 percent and 91.3 percent, respectively. Researchers will follow-up with a clinical study comparing MBI to magnetic resonance imaging (MRI) for detecting breast cancer. The federal government will fund a new study by Mayo Clinic that compares the two in 120 high-risk women with dense breasts. While MBI is more expensive than mammography, it is about one-fifth of the cost of breast MRI. For more information: mayoclinic.org FacebookTwitterLinkedInPrint分享 read more