The breast imaging field plays a critical role in women’s health and wellbeing around the globe. Bringing together experts, leaders and innovators from across the breast imaging landscape, the 2021 European Society of Breast Imaging (EUSOBI) Congress comes at a crucial time and represents a pivotal opportunity for the industry as a whole. Taking place online from 4-28 October, 2021, the virtual…
Researchers from Cleveland Clinic have opened a novel study for a vaccine aimed at eventually preventing triple-negative breast cancer, the most aggressive and lethal form of the disease. This phase I trial is designed to determine the maximum tolerated dose of the vaccine in patients with early-stage triple-negative breast cancer and to characterize and optimize the body’s immune response. The…
Together with Imperial College London (‘Imperial’), molecular diagnostics company DNAe has been awarded a UK Knowledge Transfer Partnership (KTP) by Innovate UK to support development of its next generation sequencing (NGS)-based diagnostic platform for use in cancer monitoring. The KTP program connects innovative businesses with academic experts who can help them deliver their ideas. This…
Many of the organ systems found in animals exhibit highly complex structures, which are essential for their various functions. How such structures develop during embryonic development is a central question in biology. Physicists led by Erwin Frey (Professor of Statistical and Biological Physics at LMU Munich) and Andreas Bausch (Professor of Cellular Biophysics at the Technical University of…
Researchers at Karolinska Institutet have developed an AI-based tool that improves the diagnosis of breast cancer tumours and the ability to predict the risk of recurrence. The greater diagnostic precision can lead to more personalised treatment for the large group of breast cancer patients with intermediate risk tumours. The results are published in the scientific journal Annals of Oncology.
New research indicates that MRIs are cost effective for detecting breast cancer for women with very dense breasts detected by mammography. About 10% of women have extremely dense breasts, and current mammography screening guidelines do not recommend additional imaging tests unless there is a strong family history or genetic risk for breast cancer. Such women face two problems. They have increased…
A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows. When tested separately on 44,755 already completed ultrasound exams, the artificial intelligence (AI) tool improved radiologists’ ability to correctly identify the disease by 37 percent and reduced the number of tissue samples, or…
For World Patient Safety Day, Health First Europe (HFE) published a comprehensive insight report on five disease areas that affect millions of European citizens each year and how the European Union could and should do a better job for its citizens.
By analysing secondary acute myeloid leukaemias, researchers at the Institute for Research in Biomedicine (IRB) Barcelona have detected mutations caused by platinum-based chemotherapies in cells that were healthy at the time of treatment. Treatment with chemotherapies influences the development of blood cells, favouring clonal hematopoiesis from cells with pre-existing mutations. The study has…
A team led by the Garvan Institute of Medical Research has revealed a new approach for classifying breast cancer subtypes based on their cell profile, which could help personalise treatments for patients. By analysing breast cancer biopsies from patients at Sydney hospitals, the researchers revealed more than 50 distinct cancer, immune and connective cell types and states, which could assign…
In an effort to promote access to professional breast imaging knowledge, the European Society of Radiology (ESR) now links to educational materials from DenseBreast-info.org as a resource for its members about the screening and risk implications of dense breast tissue.
A researcher at the Technical University of Denmark (DTU) has developed a mathematical model for use in automated image analysis of tissue samples. The model provides the possibility for better and more similar cancer prognosis and treatment.
The Covid-19 pandemic continues to impact people’s health across the world. This goes beyond the disease itself, as healthcare systems adapt how they provide services. Routine screening has been severely affected with screening programmes reduced or paused.
In a collaboration with the Faculty of Statistics at TU Dortmund and the University Medical Center in Mainz, a research team at the Leibniz Research Centre for Working Environment and Human Factors in Dortmund (IfADo) has developed a test that can be used to predict the success of therapy for breast cancer. Breast cancer is one of the most common tumour diseases worldwide. One in eight women will…
The contribution of Artificial intelligence (AI) has great potential in breast imaging efficiency, Professor Linda Moy MD told attendees at the 2021 Society of Breast Imaging/American College of Radiology (SBI/ACR) Breast Imaging Symposium this April. AI models for breast imaging have focused mainly on the diagnostic classification and detection of breast cancer.
Research from Cleveland Clinic in the U.S. and Cleveland Clinic Abu Dhabi in the U.A.E. has found a decrease in patient survival rates when treatment options – surgery, chemotherapy and radiation – are completed more than 38 weeks from the time of diagnosis. The observational study, which included more than 28,000 breast cancer patients registered in the American National Cancer Database, is…
Final results from a study of a blood test that can detect more than 50 types of cancer have shown that it is accurate enough to be rolled out as a multi-cancer screening test among people at higher risk of the disease, including patients aged 50 years or older, without symptoms. In a paper published in the cancer journal Annals of Oncology, researchers report that the test accurately detected…
In the emerging era of personalized medicine, risk-based breast cancer screening protocols may be better than the one-size-fits all approach. It’s time to consider adopting them, Jack Cuzick, Ph.D., said in the President’s Address of the 2021 Society of Breast Imaging/American College of Radiology Breast Imaging Symposium.
A breast cancer therapy that requires just one shot of radiotherapy is as effective as traditional radiotherapy, and avoids potential damage to nearby organs, according to a paper by UCL experts.
One of the negative impacts of the coronavirus pandemic has been the suspension or postponement of many cancer screening services. Each year, these services help prevent and detect the presence of cancer at an early stage; timely diagnosis and care are crucial in preventing the spread of cancer. The National Screening Observatory has confirmed this, reporting alarming statistics: during the first…
Medical technology company iCAD, Inc. announced that ProFound AI for 2D Mammography might notably reduce the risk of interval breast cancer, according to a new retrospective analysis. The aim of the study was to determine if adding AI to reading mammography as a supportive tool may help in decreasing the interval cancer rate in population-based organized mammography screening programs in Germany.
Electricity may slow – and in some cases, stop – the speed at which breast cancer cells spread through the body, a new study indicates. The research also found that electromagnetic fields might hinder the amount of breast cancer cells that spread. The findings, published recently in the journal Bioelectricity, suggest that electromagnetic fields might be a useful tool in fighting cancers that…
Researchers at TU Berlin and Charité – Universitätsmedizin Berlin as well as the University of Oslo have developed a new tissue-section analysis system for diagnosing breast cancer based on artificial intelligence (AI). Two further developments make this system unique: For the first time, morphological, molecular and histological data are integrated in a single analysis. Secondly, the system…
The impact of Covid-19 has been devastating; countless lives lost, millions of infections worldwide, health systems overwhelmed and economies rapidly shrinking. Screening, such as for breast or cervical cancer, is an area particularly affected, with numerous appointments delayed.
A new deep learning system to help radiologists improve their workflow efficiency when reading high volumes of screening mammograms is being developed at Johns Hopkins University’s Radiology Artificial Intelligence Lab (RAIL) in Baltimore, MD. DeepCAT (Deep Computer-Aided Triage) is focused on workflow prioritization.
