ProFound AI for 2D Mammography Cleared in Europe to Spot Potential Breast Tumors

iCAD, a company based in Nashua, New Hampshire, won European CE Mark approval for its ProFound AI for 2D Mammography software system. The product relies on a “high-functioning, deep learning” artificial intelligence algorithm to a...
Source: Medgadget - Category: Medical Devices Authors: Tags: Ob/Gyn Radiology Surgery Source Type: blogs

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While there has been controversy over when and how often women should be screened for breast cancer using mammograms, studies consistently show that screening can lead to earlier detection of the disease, when it’s more treatable. So improving how effectively mammograms can detect abnormal growths that could be cancerous is a priority in the field. AI could play a role in accomplishing that—computer-based machine learning might help doctors to read mammograms more accurately. In a study published Jan. 1 in Nature, researchers from Google Health, and from universities in the U.S. and U.K., report on an AI model ...
Source: TIME: Health - Category: Consumer Health News Authors: Tags: Uncategorized Artifical Intelligence Breast Cancer embargoed study MSFTAI2019 Source Type: news
Dense breast tissue not only increases a woman ’s risk of developing cancer, it also makes it more difficult for physicians to identify possible tumors. However, emerging research from University Medical Center Utrecht in the Netherlands has found that implementing magnetic resonance imaging (MRI) screening in addition to mammography can be a more effective cancer diagnosis method in patients with dense breast tissue than mammography alone. Over the course of two years, the group of researchers led by Carla van Gils evaluated 40,000 women with immense dense breast tissue with mammography and 4,783 were designate...
Source: radRounds - Category: Radiology Authors: Source Type: blogs
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Source: TIME: Health - Category: Consumer Health News Authors: Tags: Uncategorized medicine onetime Research syndication Source Type: news
The fiercely contested race to demonstrate how artificial intelligence (AI)...Read more on AuntMinnie.comRelated Reading: C-MIMI: AI could cut mammography workload in half AI shows promise for reducing mammography workload AI enhances radiologist performance for DBT Deep learning enhances breast cancer risk assessment SBI: AI improves DBT's performance in dense tissueComments: 12/1/2019 2:21:59 PMHospital-Rad If I were a resident I would think twice before choosing breast fellowship. Although a mammographer won't be replaced by AI completely, I predict that the work volume will decrease dramatically. Screenings...
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
CONCLUSION: Imaging tools used to evaluate breast cancer can help determine whether distant metastasis has occurred and in rare cases can help discover other primary cancers. The patient in this case study was 1 of the few patients with an incidental finding of a second nonmetastatic primary malignancy in the lung detected using PET-CT. The risks associated with advanced imaging include exposing patients to additional tests and potentially invasive procedures based on the results. However, in some instances, imaging results can alter the treatment plan and increase survival rates. Further empirical research and case studie...
Source: Radiologic Technology - Category: Radiology Authors: Tags: Radiol Technol Source Type: research
AbstractBackgroundThe density of tumor-infiltrating lymphocytes (TIL) is a predictive factor for response to neoadjuvant systemic therapy (NAST) in breast cancer. High TIL density correlates with higher complete pathologic remission (pCR) in triple negative and HER2 positive breast cancer. Additionally, not only TIL density but also subsets of immune cells in tumor stroma seem to play an important role in cancer and immune cell interaction and response to chemotherapy. Our aim is to determine TIL density and expression of CD 20, CD3, CD8, PD-L1, FOXP3 and PGM1 on core biopsy specimen and find a correlation with pCR.Trial d...
Source: Annals of Oncology - Category: Cancer & Oncology Source Type: research
ConclusionConventional BC-imaging modalities have both advantages and limitations. When utilized in combination, they are often complementary. For example, a limitation of mammography is low sensitivity in dense breasts. The addition of DBT lessens this limitation by providing three-dimensional (3D) images of the breast that minimizes the effect of overlying breast tissue. Additionally, US added to mammography in dense breasts increases screening sensitivity and has the advantages of accessibility and lack of ionizing radiation. MRI is currently the most sensitive method used for detecting BC. When MRI is not suitable for ...
Source: Clinical and Translational Imaging - Category: Radiology Source Type: research
ConclusionsA novel system using supine MRI images co-registered with intraoperative optical scanning and tracking enabled tumors to be resected with a trend toward a lower positive margin rate compared with wire-localized partial mastectomy. Margin positivity was more likely when imaging underestimated pathologic tumor size.
Source: Annals of Surgical Oncology - Category: Cancer & Oncology Source Type: research
AbstractPurposeTo develop a multiparametric [18F]FDG positron emission tomography/magnetic resonance imaging (PET/MRI) model for breast cancer diagnosis incorporating imaging biomarkers of breast tumors and contralateral healthy breast tissue.MethodsIn this prospective study and retrospective data analysis, 141 patients (mean 57  years) with an imaging abnormality detected on mammography and/or ultrasound (BI-RADS 4/5) underwent combined multiparametric [18F]FDG PET/MRI with PET/computed tomography and multiparametric MRI of the breast at 3  T. Images were evaluated and the following were recorded: for the tumor,...
Source: European Journal of Nuclear Medicine and Molecular Imaging - Category: Nuclear Medicine Source Type: research
ConclusionTOL methodology allowed effective training of both groups of readers. The iterative nature of individual training ensured production of user-friendly materials including frequently-asked-questions sheets. It allowed for each person to feel that their views were fully listened to and incorporated into the training package, allowing for training materials with high face validity.
Source: European Journal of Radiology Open - Category: Radiology Source Type: research
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