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Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

Shen, Yiqiu; Shamout, Farah E; Oliver, Jamie R; Witowski, Jan; Kannan, Kawshik; Park, Jungkyu; Wu, Nan; Huddleston, Connor; Wolfson, Stacey; Millet, Alexandra; Ehrenpreis, Robin; Awal, Divya; Tyma, Cathy; Samreen, Naziya; Gao, Yiming; Chhor, Chloe; Gandhi, Stacey; Lee, Cindy; Kumari-Subaiya, Sheila; Leonard, Cindy; Mohammed, Reyhan; Moczulski, Christopher; Altabet, Jaime; Babb, James; Lewin, Alana; Reig, Beatriu; Moy, Linda; Heacock, Laura; Geras, Krzysztof J
Though consistently shown to detect mammographically occult cancers, breast ultrasound has been noted to have high false-positive rates. In this work, we present an AI system that achieves radiologist-level accuracy in identifying breast cancer in ultrasound images. Developed on 288,767 exams, consisting of 5,442,907 B-mode and Color Doppler images, the AI achieves an area under the receiver operating characteristic curve (AUROC) of 0.976 on a test set consisting of 44,755 exams. In a retrospective reader study, the AI achieves a higher AUROC than the average of ten board-certified breast radiologists (AUROC: 0.962 AI, 0.924 ± 0.02 radiologists). With the help of the AI, radiologists decrease their false positive rates by 37.3% and reduce requested biopsies by 27.8%, while maintaining the same level of sensitivity. This highlights the potential of AI in improving the accuracy, consistency, and efficiency of breast ultrasound diagnosis.
PMCID:8463596
PMID: 34561440
ISSN: 2041-1723
CID: 5039442

Interventions to increase the duration of breastfeeding in obese mothers: the Bassett Improving Breastfeeding Study

Rasmussen, Kathleen M; Dieterich, Christine M; Zelek, Sarah T; Altabet, Jaime D; Kjolhede, Chris L
OBJECTIVE:Maternal obesity is associated with poor breastfeeding outcomes, yet no intervention has been developed to improve them. To ascertain whether increased breastfeeding support or provision of a breast pump is a feasible, effective intervention to improve breastfeeding, we enrolled obese women who intended to breastfeed in two randomized trials. METHODS:In Bassett Improving Breastfeeding Study (BIBS) 1, 40 women received targeted breastfeeding support in the hospital and via telephone or usual care. Information regarding breastfeeding was collected via telephone for 7 days after delivery and at 30 and 90 days postpartum. In BIBS 2, 34 obese mothers received a manual or electric breast pump to use for 10-14 days or no pump; data collection was similar. RESULTS:In both experiments, randomization failed to distribute women of differing postpartum body mass index adequately among the treatment groups. When analyses were adjusted for this, there was no difference in BIBS 1 between targeted and usual care groups and in BIBS 2 among the treatment groups in the proportion of women still breastfeeding at the times studied. CONCLUSIONS:In future studies of obese women, stratified randomization may be necessary. Further development of interventions to help obese women achieve optimal breastfeeding outcomes is required.
PMID: 20958105
ISSN: 1556-8342
CID: 4491912