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From DCIS to IDC: AI identifies breast cancer stages
Researchers at MIT and ETH Zurich developed an AI model that identifies certain breast cancer stages likely to progress to invasive forms of cancer.
Breast cancer (breast carcinoma; often abbreviated as BRCA) is the most common cancer in women in many countries and the cancer with the highest mortality rate. The diagnostic and therapeutic options for breast cancer are correspondingly diverse. Read more about the latest research, diagnoses and treatments.
Researchers at MIT and ETH Zurich developed an AI model that identifies certain breast cancer stages likely to progress to invasive forms of cancer.
Sentinel lymph node biopsies can help detect breast cancer – but not every patient benefits from the procedure. New research finds that a simple EHR prompt can prevent unnecessary surgery.
Ductal Carcinoma in Situ (DCIS) often develop into more invasive forms of breast cancer. To predict which DCIS patients are likely to be affected, researchers have developed an analytic AI-based tool.
Researchers have developed a tool that can predict the risk level for side effects in the nervous system of women treated for breast cancer using taxanes. This could help adapt treatment.
Why does obesity increase the risk of cancer and possibly metastasis? Researchers in Spain are currently investigating this very question.
Finnish researchers discovered a mechanism that wakes up dormant breast cancer cells and demonstrated that preventing the mechanism can significantly improve treatment outcomes in experimental models.
Although the Covid-19 pandemic is behind us, healthcare facilities continue to experience workflow challenges and resource constraints impacting women’s health and a patient’s ability to receive a timely diagnosis. Clinical specialties like breast radiology and cytology are especially susceptible to these issues and continue to experience backlogs, which impact their ability to deliver timely…
Using artificial intelligence (AI), breast radiologists in Denmark have improved breast cancer screening performance and reduced the rate of false-positive findings.
Current AI systems for detecting breast cancer from mammography exams are more likely to produce false-positive results in black women and older patients, a new study finds.
Researchers have discovered how the mechanical properties of tumours - their softness, for example - can prime cancer cells to better survive their spread to other organs.
A team of Danish and Dutch researchers has combined an AI diagnostic tool with a mammographic texture model to improve the assessment of short- and long-term breast cancer risk. This new approach represents a significant step forward in refining the ability to predict the complexities of breast cancer risk.
A new trial could pave the way for more gentle surgery of breast cancer: The researchers explore the possibility of sparing the lymph nodes in the armpit - even if metastases are already present.
A study found immune cells in breast tissue of healthy women carrying BRCA1 or BRCA2 gene mutations show signs of ‘exhaustion’. This opens new possibilities for cancer prevention.
A clinical trial has revealed the effectiveness of '3D mammography' in reducing by almost half the incidence of interval breast cancer appearing between two rounds of screening.
A combination of PET and MR imaging could help doctors spot signs that breast cancer is beginning to spread in a patient. This insight can then be used to adapt treatment strategies.
A research team created a computational model that simulates the invasion of cancer cells in breast tumors on a biomechanical level. This could help predict the evolution of breast cancer in patients.
Biochemists and bioinformaticians from the Leibniz Institute DSMZ have extensively characterized the molecular properties of the breast cancer cell lines from the institute's collection.
Awareness of the importance of women’s health is on the rise, but many challenges remain: At ECR 2024 in Vienna, we spoke with Hologic about their continued evaluation of healthcare efforts for women. At the congress, the company also shared how AI could be used to mitigate the effects of medical staff shortage.
An international study has revealed that MRI monitoring in women with mutations in the BRCA1 genes significantly reduces breast cancer mortality without the need for preventive mastectomy.