Observational studyRadiology2023
Comparison of Mammography AI Algorithms with a Clinical Risk Model for 5-year Breast Cancer Risk Prediction: An Observational Study.
Abstract readObservational Study
In one paragraph
Observational study in Radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
45 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Current state of mammography-based artificial intelligence for future breast cancer risk prediction: a systematic review.Journal of the National Cancer Institute · 2026Pooled it
- Risk assessment tools for women with breast atypia: A systematic review.American journal of surgery · 2025Pooled it
- Artificial Intelligence-Driven Mammography-Based Future Breast Cancer Risk Prediction: A Systematic Review.Journal of the American College of Radiology : JACR · 2024Pooled it
- Comparison of Artificial Intelligence Detection and Short-Term Breast Cancer Risk Models within and beyond Their Intended Use in Mammography Screening.Radiology. Imaging cancer · 2026Article
- From pixels to pathology: how artificial intelligence mammographic risk scores capture tumor biology through imaging.European radiology · 2026Article
- Performance of clinical breast cancer risk prediction models vs a mammography-based artificial intelligence risk model.Journal of the National Cancer Institute · 2026Article
- Five-Year Breast Cancer Risk Prediction From Screening Breast Ultrasound Using Deep Learning.medRxiv : the preprint server for health sciences · 2026Article
- A National Audit of Mammography Systems Settings That May Affect the Output of Artificial Intelligence Software.Diagnostics (Basel, Switzerland) · 2026Article
- Performance of an image-only deep learning breast cancer risk model with the addition of a polygenic risk score.British journal of cancer · 2026Article
- Enhancing Early Detection of Contralateral Breast Cancer in Breast Cancer Survivors Using AI-Assisted Mammography.Annals of surgical oncology · 2026Article
- Generalizability of an AI-based mammogram risk score (MRS) for breast cancer among diverse populations of women.Science advances · 2026Article
- A Deep Learning Breast Cancer Risk Model for Precise Supplemental Screening.JAMA network open · 2026Article
- AI-FLEET: Phase I-Multimodal Deep Learning Model for Phyllodes Tumor Classification.Annals of surgical oncology · 2026Article
- Where Can Artificial Intelligence Assist Cancer Care?: Examining Patient-Centered Communication Dimension Effects.Health services research · 2026Article
- Performance of breast cancer risk prediction algorithms across mammography systems in the UK screening programme.NPJ digital medicine · 2026Article
- Role of health digital twins in oncology drug development - a primer.Frontiers in oncology · 2026Review
- Over-detection and over-surveillance in breast screening: current status and the potential for artificial intelligence optimisation.Insights into imaging · 2025Review
- Statistically Significant Association Does not Imply Improvement in Prediction of Clinical Outcomes.Cancer prevention research (Philadelphia, Pa.) · 2025Article
- Precision Oncology: Current Landscape, Emerging Trends, Challenges, and Future Perspectives.Cells · 2025Review
- Deep learning mammography-based breast cancer risk model, its serial change, and breast cancer mortality.Breast cancer (Tokyo, Japan) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Vignesh A ArasuFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0003-4315-3106
Laurel A HabelFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0002-7230-587X
Ninah S AchacosoFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0002-9713-5942
Diana S M BuistFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0001-5408-2804
Jason B CordFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0002-5153-7954
Laura J EssermanFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0001-9202-4568
Nola M HyltonFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0002-6747-1662
M Maria GlymourFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0001-9644-3081
John KornakFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0002-0089-0619
Lawrence H KushiFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0001-9136-1175
Donald A LewisFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0002-2339-540X
Vincent X LiuFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).
Caitlin M LydonFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0001-6790-5689
Diana L MigliorettiFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0002-5547-1833
Daniel A NavarroFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0002-5784-6002
Albert PuFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).
Li ShenFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0002-5190-2851
Weiva SiehFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0003-0085-1190
Hyo-Chun YoonFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0003-3072-108X
Catherine LeeFrom the Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612 (V.A.A., L.A.H., N.S.A., L.H.K., V.X.L., C.M.L., C.L.); Department of Radiology, Kaiser Permanente Northern California, Vallejo Medical Center, Vallejo, Calif (V.A.A.); Kaiser Permanente Washington Health Research Institute, Seattle, Wash (D.S.M.B.); Department of Radiology, Southern California Permanente Medical Group, Orange County, Irvine, Calif (J.B.C.); Department of Surgery (L.J.E.), Department of Radiology and Biomedical Imaging (N.M.H.), and Department of Epidemiology and Biostatistics (M.M.G., J.K.), University of California-San Francisco, San Francisco, Calif; Department of Medical Imaging Technology and Informatics, Southern California Permanente Medical Group, Pasadena, Calif (D.A.L.); Department of Biostatistics, University of California-Davis, Davis, Calif (D.L.M.); The Technology Group, The Permanente Medical Group, Oakland, Calif (D.A.N.); KP Information Technology, Kaiser Foundation Health Plan Inc and Kaiser Foundation Hospitals, Oakland, Calif (A.P.); Department of Artificial Intelligence and Human Health and Nash Family Department of Neuroscience (L.S.) and Department of Population Health Science and Policy, Department of Genetics and Genomic Sciences (W.S.), Icahn School of Medicine at Mount Sinai, New York, NY; and Department of Radiology, Hawaii Permanente Medical Group, Moanalua Medical Center, Honolulu, Hawaii (H.C.Y.).ORCID 0000-0003-0008-9052
Funding
Radiomic and genomic predictors of breast cancer riskR01CA264987 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Vignesh A Arasu, Li Shen · 2021 to 2026
$3.5MQuantitative Imaging for Assessing Breast Cancer Response to TreatmentU01CA225427 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HYLTON-WATSON, NOLA M. · 2018 to 2022
$3.2MNCI NIH HHS R01 CA264987NCI NIH HHS U01 CA225427
Abstract
Background Although several clinical breast cancer risk models are used to guide screening and prevention, they have only moderate discrimination. Purpose To compare selected existing mammography artificial intelligence (AI) algorithms and the Breast Cancer Surveillance Consortium (BCSC) risk model for prediction of 5-year risk. Materials and Methods This retrospective case-cohort study included data in women with a negative screening mammographic examination (no visible evidence of cancer) in 2016, who were followed until 2021 at Kaiser Permanente Northern California. Women with prior breast cancer or a highly penetrant gene mutation were excluded. Of the 324 009 eligible women, a random subcohort was selected, regardless of cancer status, to which all additional patients with breast cancer were added. The index screening mammographic examination was used as input for five AI algorithms to generate continuous scores that were compared with the BCSC clinical risk score. Risk estimates for incident breast cancer 0 to 5 years after the initial mammographic examination were calculated using a time-dependent area under the receiver operating characteristic curve (AUC). Results The subcohort included 13 628 patients, of whom 193 had incident cancer. Incident cancers in eligible patients (additional 4391 of 324 009) were also included. For incident cancers at 0 to 5 years, the time-dependent AUC for BCSC was 0.61 (95% CI: 0.60, 0.62). AI algorithms had higher time-dependent AUCs than did BCSC, ranging from 0.63 to 0.67 (Bonferroni-adjusted
Indexed as
Breast NeoplasmsAlgorithmsArtificial IntelligenceCohort StudiesEarly Detection of CancerFemaleHumansMammographyRetrospective Studies
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