AI-assisted diagnosis for breast cancer with extensive early-stage cells
Part of Cancer, Skin clinical trials.
This study tests a new artificial intelligence (AI) tool that works with doctors to more accurately diagnose breast cancer that has a large area of early-stage cells (DCIS) mixed with invasive cancer. It may help improve treatment decisions for people with larger, calcified tumors.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You were diagnosed with DCIS (ductal carcinoma in situ, a very early form of breast cancer), with or without invasive cancer, based on a needle biopsy before surgery.
- Your tumor was larger than 2 cm and had extensive calcifications (calcium deposits) seen on ultrasound or MRI.
- You had either a mastectomy (whole breast removal) or breast-conserving surgery (lumpectomy).
- After surgery, lab analysis showed that at least 80% of the tumor was DCIS.
- You did not receive chemotherapy, hormone therapy, or targeted therapy before surgery.
- You have not had a vacuum-assisted biopsy or other minimally invasive breast procedure that could alter the tumor's structure.
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
Similar studies
Other trials that look related to this one.
This trial uses artificial intelligence to analyze images of your tumor tissue to predict if breast cancer might spread to other parts of the body. It may help doctors better understand your individual risk and guide treatment decisions.
This trial uses artificial intelligence (AI) to help doctors more accurately identify early-stage breast cancer from test results. It could lead to faster and more precise diagnosis, which may help you get the right treatment sooner.
This study is testing an artificial intelligence (AI) tool that reads 3D mammograms (called DBT) to help doctors find and manage breast conditions more accurately and quickly. It could help guide treatment, especially for women getting chemotherapy before surgery.
This study uses artificial intelligence to look at chest CT scans taken during routine health check-ups to find early signs of breast cancer. It may help improve early detection without extra scans.
This trial tests an artificial intelligence (AI) model that looks at pictures of breast tissue to find cancer. It may help improve early detection and reduce the need for invasive tests.
This study compares a single radiologist reading your mammogram with help from artificial intelligence (AI) to the standard method of two radiologists reading it. The goal is to see if AI-assisted reading is just as good at finding cancer while saving time and resources.
Hear when a new Artificial Intelligence (AI) in Diagnosis trial opens
We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.