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Sahar Mansour: AI Detects Hidden Breast Carcinomas, an Egyptian Experience
Jan 7, 2025, 17:59

Sahar Mansour: AI Detects Hidden Breast Carcinomas, an Egyptian Experience

Sahar Mansour, Professor of Radiology in the Women’s Imaging Unit at Kasr El Ainy Hospital, Cairo University, shared a post on LinkedIn:

“The Sixth Sense: AI Detects Hidden Breast Carcinomas, an Egyptian Experience’.

The research team at Baheya Foundation for Early Breast Cancer and Treatment, Cairo, did a hybrid prospective comparative study which was published in ‘European Journal of Radiology Open access’ 2025.

The study has unveiled insights into the AI’s performance in enhancing the detection of missed breast carcinomas where analysis of 1028 overlooked breast cancers were done for cases presented between 2020–2023.

The work highlighted that, 1) asymmetry was the most frequent subtle finding missed by both radiologists (41%)

2) the highest detection rates (100%) for ‘distortion’ in prior mammograms and ‘grouped microcalcifications’ in present ones and

3) the early cancerous changes were AI flagged with no correlation with specific pathological types of breast cancer, showcasing its broad utility.

The study also found that AI-marked abnormalities with low scoring (less than 35%) in prior mammogram and presented by cancer in present mammogram were prevalent in post menopausal patients, emphasizing the need for advanced applications of digital mammograms and close interval AI-reading mammogram follow-ups to minimize the potential for missed breast carcinoma in that age group.

AI confidence scoring ranged between 40% and 70% in 53% of the proven carcinomas, with a sensitivity of 73.4%, specificity of 89.0%, and accuracy of 78.4% in mammograms previously assigned negative or benign by human radiologist.

These findings underscore the importance of integrating AI into mammography to enhance early detection and improve patient outcomes.

Great credits to Baheya’s research team: Sahar Mansour, Rasha Kamal, Samar Hussein, Yomna Kassab, Mostafa Emara, Sherif Nasser Taha, Mohammed Gomaa.”

Enhancing detection of previously missed non-palpable breast carcinomas through artificial intelligence.

Authors: Sahar Mansoura, Rasha Kamala, Samar Ahmed Hussein, Mostafa Emara, Yomna Kassab, Sherif Nasser Taha, Mohammed Mohammed Gomaa

Sahar Mansour

Sahar Mansour is a Professor of Radiology in the Women’s Imaging Unit at Kasr El Ainy Hospital, Cairo University. She serves as Chief of the Scientific Committee for the Egyptian Society of Breast Imaging and is the Research Program Coordinator for the Radiology Department at Baheya Foundation. Dr. Mansour also consults in breast imaging and intervention at Baheya Charity Women’s Cancer Hospital and is the Cairo Regional Coordinator for Egypt’s National Breast Cancer Screening Program with the Ministry of Health and Population.