ArticleRadiology2020
Evaluation of LIBRA Software for Fully Automated Mammographic Density Assessment in Breast Cancer Risk Prediction.
Open access · greenAbstract read
In one paragraph
Article in Radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% of its field
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
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Effects of bariatric surgery on breast density in adult obese women: systematic review and meta-analysis.Frontiers in immunology · 2023Pooled it
- The NorthMom study: population-based follow-up of women in a birth cohort to assess pregnancy exposures and effects on breast cancer risk factors.BMC public health · 2026Observational
- MuSTAF: Clinically Relevant Multi-task Spatiotemporal Attention Fusion Framework for Breast Cancer Detection with Longitudinal Mammography.medRxiv : the preprint server for health sciences · 2026Article
- AutoCumulus: an automated mammographic density measure created using artificial intelligence.BMC cancer · 2026Article
- BMI-dependent association between mammographic breast density and osteoporosis in postmenopausal women using automated density assessment.BMC women's health · 2026Article
- Head-to-head comparisons of breast density assessment models using deep learning on digital and synthetic mammograms.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Longitudinal changes in mammographic density and reproductive hormones during the menopausal transition in middle-aged Korean women: effect modification by obesity.Breast cancer research : BCR · 2025Article
- Associations of early-adulthood adiposity with breast parenchymal tissue complexity within premenopausal women.Breast cancer research : BCR · 2025Article
- Comparison of Digital Breast Tomosynthesis and Mammography-based Radiomics for Breast Cancer Risk Assessment: Case-Control Study.Radiology. Imaging cancer · 2025Article
- Concordant and discordant breast density patterns by different approaches for assessing breast density and breast cancer risk.Breast cancer research and treatment · 2025Article
- A Nomogram Using Imaging Features to Predict Ipsilateral Breast Tumor Recurrence After Breast-Conserving Surgery for Ductal Carcinoma In Situ.Korean journal of radiology · 2024Article
- Effect of testosterone therapy on breast tissue composition and mammographic breast density in trans masculine individuals.Breast cancer research : BCR · 2024Article
- Screening mammography performance according to breast density: a comparison between radiologists versus standalone intelligence detection.Breast cancer research : BCR · 2024Article
- Preoperative prediction of nodal status using clinical data and artificial intelligence derived mammogram features enabling abstention of sentinel lymph node biopsy in breast cancer.Frontiers in oncology · 2024Article
- Breast density analysis of digital breast tomosynthesis.Scientific reports · 2023Article
- Impact of breast density on diagnostic accuracy in digital breast tomosynthesis versus digital mammography: results from a European screening trial.Breast cancer research : BCR · 2023Article
- Association and Prediction Utilizing Craniocaudal and Mediolateral Oblique View Digital Mammography and Long-Term Breast Cancer Risk.Cancer prevention research (Philadelphia, Pa.) · 2023Article
- Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women.Breast cancer research : BCR · 2023Article
- Impact of Artificial Intelligence System and Volumetric Density on Risk Prediction of Interval, Screen-Detected, and Advanced Breast Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 1 country.
Aimilia GastouniotiFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).ORCID 0000-0002-3359-7195
Christine Damases KasiFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).ORCID 0000-0003-0626-7219
Christopher G ScottFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).ORCID 0000-0003-1340-0647
Kathleen R BrandtFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).ORCID 0000-0003-2144-261X
Matthew R JensenFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).
Carrie B HruskaFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).ORCID 0000-0002-6195-5201
Fang F WuFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).
Aaron D NormanFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).ORCID 0000-0002-4208-2708
Emily F ConantFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).
Stacey J WinhamFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).ORCID 0000-0002-8492-9102
Karla KerlikowskeFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).ORCID 0000-0001-8793-8779
Despina KontosFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).ORCID 0000-0001-9031-5126
Celine M VachonFrom the Department of Radiology, University of Pennsylvania, Philadelphia, Pa (A.G., E.F.C., D.K.); Department of Radiology, University of Minnesota, Minneapolis, Minn (C.D.K.); Departments of Health Sciences Research (C.G.S., M.R.J., A.D.N., S.J.W., C.M.V.), Diagnostic Radiology (K.R.B., C.B.H.), Information Technology (F.F.W.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; and Department of Medicine and Epidemiology, University of California, San Francisco, San Francisco, Calif (K.K.).ORCID 0000-0002-1962-9322
Mayo Clinic · USUniversity of Minnesota · US
Funding
Endogenous hormones and postmenopausal breast cancer: Etiologic insights and improving risk predictionR01CA207369 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI HANKINSON, SUSAN E · 2017 to 2021
$4.5MEffect of Breast Density on Screening Recall with Digital Breast TomosynthesisR01CA161749 · NCI · UNIVERSITY OF PENNSYLVANIA · PI KONTOS, DESPINA · 2012 to 2021
$3.6MRadiomic phenotypes of breast parenchyma and association with breast cancer risk and detectionR01CA207084 · NCI · MAYO CLINIC ROCHESTER · PI KERLIKOWSKE, KARLA M, KONTOS, DESPINA · 2017 to 2021
$3.2MCancer imaging phenomics software suite: application to brain and breast cancerU24CA189523 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS, KONTOS, DESPINA · 2015 to 2019
$3.2MAutomated Density Measures for Estimating Breast Cancer Risk and Therapy ResponseR01CA177150 · NCI · MAYO CLINIC ROCHESTER · PI KERLIKOWSKE, KARLA M, VACHON, CELINE M · 2013 to 2017
$3.0MBiomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9MNCI NIH HHS R01 CA161749NCI NIH HHS R01 CA177150NCI NIH HHS R01 CA207084NCI NIH HHS R01 CA207369NCI NIH HHS U24 CA189523NIH HHS S10 OD023495
Abstract
Background The associations of density measures from the publicly available Laboratory for Individualized Breast Radiodensity Assessment (LIBRA) software with breast cancer have primarily focused on estimates from the contralateral breast at the time of diagnosis. Purpose To evaluate LIBRA measures on mammograms obtained before breast cancer diagnosis and compare their performance to established density measures. Materials and Methods For this retrospective case-control study, full-field digital mammograms in for-processing (raw) and for-presentation (processed) formats were obtained (March 2008 to December 2011) in women who developed breast cancer an average of 2 years later and in age-matched control patients. LIBRA measures included absolute dense area and area percent density (PD) from both image formats. For comparison, dense area and PD were assessed by using the research software (Cumulus), and volumetric PD (VPD) and absolute dense volume were estimated with a commercially available software (Volpara). Density measures were compared by using Spearman correlation coefficients (
Indexed as
Breast DensityAgedBreastBreast NeoplasmsCase-Control StudiesFemaleHumansMammographyMiddle AgedRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesRisk FactorsSoftware
Identifiers
What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.