US researchers have discovered that radiation therapy combined with two types of immunotherapy can control tumors in preclinical models of triple negative breast cancer.
Modern cancer therapies are tough on the tumours, but often, also on the heart of the patients. The “CARDIOCARE” project aims to reduce the cardiac burden of anti-cancer therapies through more patient-tailored treatment approaches. At the ESC 2023 cardiology congress, Professor Katerina Naka from the project’s consortium explained why older patients are at the highest risk of cardiotoxic…
A genetic test for BRCA1 or BRCA2 gene mutations may drive women to undergo breast cancer surgery, even though their risk might not even be drastically affected by this, a new study finds.
Chemotherapy can be an effective means to fight breast cancer, but under certain circumstances, the treatment can cause dormant cancer cells to re-awaken, new research finds.
Cancer has become strikingly more common in people under 50 in the past three decades, an international research team finds. The reseachers explore what this means for future death tolls.
Mammographic screening is used to detect breast cancer, but is prone to false findings. Could an AI reader help improve this? UK researchers compared the performance of man and machine.
Where are the beginnings of breast cancer? A team of researchers at Kyoto University has revealed the mechanism by which breast cancer is formed in the cells of mammalian epithelium.
Can per- and polyfluoroalkyl substances (PFAS) increase the risk of breast cancer? A new study by US researchers examines the effects of the so-called “forever chemicals”.
Centralized review of slides combined with telepathology has opened up the potential for a dramatic reduction in the waiting times for breast cancer patients to start their therapy. Jan Hudecek from the Netherlands Cancer Institute outlined his team’s framework for multi-centre clinical trials with centralized digital pathology review at the 9th Digital Pathology and Artificial Intelligence…
A machine learning model found that background parenchymal enhancement (BPE) on breast MRI is an indicator of breast cancer risk in women with extremely dense breasts.
Experts have highlighted how precision pathology using Artificial Intelligence can provide an effective alternative to molecular diagnostics. This, say a team from the Karolinska Institutet (KI) in Stockholm, Sweden, can also offer multiple advantages within a clinical setting and support risk stratification.
A new safety analysis finds AI-supported mammography analysis is as good as two breast radiologists working together to detect breast cancer, almost halving the screen-reading workload.
With the recent recommendation changes from the European Council in 2022, how radiologists screen for breast cancer is changing. Mammography has long been an essential technology in screening for breast cancer, and in the recommendations the Council formally recognized the advantages of digital breast tomosynthesis (DBT). This landmark acknowledges the research on and benefits of DBT, advocating…
A new device, designed by MIT researchers, could detect breast cancer earlier. The scanner, which can be incorporated into a bra, could allow more frequent monitoring of high-risk patients.
Researchers have unveiled a key mechanism of breast cancer cells to infiltrate lymph nodes. The discovery may lead to new metastasis-blocking treatments and improve patients’ lives.
Researchers have found a possible explanation as to why higher breast density and older age increase the risk of breast cancer. According to the experts, adipocytes play a vital role here.
Researchers from Queen’s University Belfast have created personalised 4D printed “smart” implants for breast cancer management - a first for this technology.
Treatment times for radiotherapy could be reduced for some early breast cancer patients, according to a trial led by University of Cambridge and The Institute of Cancer Research, London.
A new study suggests that deep learning–based computer-aided diagnosis (CAD) for breast lesion classification on ultrasound can significantly improve radiologists' diagnostic performance.
Patients with early-stage breast cancer who have an elevated risk of having tumour recurrence now have the option to take a course of radiotherapy following breast conservation surgery that is only three weeks long, half the time of conventional radiotherapy treatment.
Artificial Intelligence (AI) could identify patients at increased risk of side effects from radiation treatment for breast cancer, according to researchers at the University of Leicester.
AI can analyze breast mass images from low-cost portable ultrasound machines and accurately identify cancer, according to a new study. This could prove useful for triage in low-resource settings.
A group of researchers has illustrated the mechanistic pathway for PTEN-deficient breast cancer and successfully tested a method of countering the downstream effects of immune system evasion by tumors.
Women with triple-negative breast cancer who received multiple antibiotic prescriptions within three years after their cancer diagnosis were more likely to experience disease recurrence and to die from their cancer.
Women working in health care who are regularly exposed to radiation from X-rays and other imaging procedures need better ionizing radiation protection.