PET-CT for Evaluating Breast Cancer Yields Incidental Finding in the Lung.

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 studies are needed to identify clinical outcomes for patients with a second primary cancer. PMID: 31685588 [PubMed - in process]
Source: Radiologic Technology - Category: Radiology Authors: Tags: Radiol Technol Source Type: research

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Not all benign findings on screening mammography are equal. A Spanish team...Read more on AuntMinnie.comRelated Reading: CT scans can predict CVD risk in breast cancer patients Language can be barrier to breast screening Breast screening helps precision medicine succeed Notification laws may not lead to more breast screening Language matters when screening women with dense breasts
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
Clinicians used CT scans of coronary artery calcium to predict which patients...Read more on AuntMinnie.comRelated Reading: Radiation tied to breast cancer delays for Black women Women with DCIS have 3x the risk of breast cancer death Single radiotherapy dose effective for breast cancer Radiologists, AI make a great team in screening mammo AI software can cut screening mammography workload
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
By LUKE OAKDEN-RAYNER In surprising news this week, CMS (the Centres for Medicare &Medicaid Services) in the USA approved the first reimbursement for AI augmented medical care. Viz.ai have a deep learning model which identifies signs of stroke on brain CT and automatically contacts the neurointerventionalist, bypassing the first read normally performed by a general radiologist. From their press material: Viz.ai demonstrated to CMS a significant reduction in time to treatment and improved clinical outcomes in patients suffering a stroke. Viz LVO has been granted a New Technology Add on Payment of up to&nbs...
Source: The Health Care Blog - Category: Consumer Health News Authors: Tags: Artificial Intelligence Health Tech AI Luke Oakden-Rayner Reimbursement Source Type: blogs
Medical imaging saves millions of lives each year, helping doctors detect and diagnose a wide range of diseases, from cancer and appendicitis to stroke and heart disease. Because non-invasive early disease detection saves so many lives, scientific investment continues to increase. Artifical intelligence (AI) has the potential to revolutionize the medical imaging industry by sifting through mountains of scans quickly and offering providers and patients with life-changing insights into a variety of diseases, injuries, and conditions that may be hard to detect without the supplemental technology. Images are the largest source...
Source: MDDI - Category: Medical Devices Authors: Tags: Imaging Source Type: news
Conclusions: This pilot study indicated that the uptake of HER2 antagonist 99mTc-HPArk2 correlate with HER2 expression in breast cancer. 99mTc-HPArk2 SPECT/CT can provide specific, non-invasive evaluation of HER2 expression in breast cancer.
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Tags: Breast Cancer I Source Type: research
Like everyone, I assume I’ll live forever. Although I often wonder whether anyone would come to my funeral and who would wear black, it never actually occurrs to me that there is an endpoint. It’s almost as if I would come along too to watch proceedings running smoothly and along the lines I wanted. Death was something I thought about, but in a rather abstract, offhand sort of way. It happened, of course I knew I would die at some point, but that point was somewhere out there … way off from here, where I am now. And then I hit a brick wall. The wall consisted of a tiny little bit of blood coughed up in s...
Source: The Hysterectomy Association - Category: OBGYN Authors: Tags: Emotional Health Happiness Thought for the day Women's Health my story Source Type: news
Jacinta E. Browne The aim of this work was to develop multimodal anthropomorphic breast phantoms suitable for evaluating the imaging performance of a recently-introduced Microwave Imaging (MWI) technique in comparison to the established diagnostic imaging modalities of Magnetic Resonance Imaging (MRI), Ultrasound (US), mammography and Computed Tomography (CT). MWI is an emerging technique with significant potential to supplement established imaging techniques to improve diagnostic confidence for breast cancer detection. To date, numerical simulations have been used to assess the different MWI scanning and image recon...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research
ConclusionsSynchrotron-based PB-CT can achieve a significantly higher radiological image quality at a substantially lower radiation dose compared with conventional CBBCT.Key Points• PB-CT using synchrotron radiation results in higher image quality than conventional CBBCT for breast imaging.• PB-CT using synchrotron radiation requires a lower radiation dose than conventional CBBCT for breast imaging.• PB-CT can help clinicians diagnose patients with breast cancer.
Source: European Radiology - Category: Radiology Source Type: research
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
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
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