Professor Sarah Pinder
Professor of Breast Pathology
Research interests
- Cancer
- Women
Biography
Sarah Pinder is Chair of Breast Pathology at Kings College London. She is Lead Breast Pathologist at Guy’s & St Thomas’ Hospitals (50% time NHS) with a large external referral practice. She Chairs the National Coordinating Committee for Breast Pathology (NCCBP) for the Royal College of Pathologists/UK NHS Breast Screening Programme (BSP) and is a member of several other BSP committees, such as the Advisory Committee for Breast Cancer Screening and the Research Advisory Committee. She is a member of a number of clinical trial and translational research committees, including the low risk DCIS trial (LORIS) (for which she is one of three central review pathologists) and OPTIMA, amongst others. She is a founder member of Sloane Project Steering Group and her translational research interests are focused particularly on in situ breast carcinoma. She has published over 300 articles in the peer-reviewed literature, and over 100 invited articles and chapters.
Research
Breast Pathology Research
Breast Pathology Research Group
News
Researchers' new DCIS discovery could help avoid unnecessary breast cancer treatment
A new study from a team of King’s researchers in the School of Cancer & Pharmaceutical Sciences, led by Professor Elinor Sawyer, has contradicted the view...
AI technology investigated for breast cancer diagnosis
A new study led by academics at King’s and Guy’s and St Thomas’ NHS Foundation Trust is using historical scans to evaluate how AI-driven diagnostic software...
Research
Breast Pathology Research
Breast Pathology Research Group
News
Researchers' new DCIS discovery could help avoid unnecessary breast cancer treatment
A new study from a team of King’s researchers in the School of Cancer & Pharmaceutical Sciences, led by Professor Elinor Sawyer, has contradicted the view...
AI technology investigated for breast cancer diagnosis
A new study led by academics at King’s and Guy’s and St Thomas’ NHS Foundation Trust is using historical scans to evaluate how AI-driven diagnostic software...