Evidence map›Paper›PMID 39352285›Full record

ArticleRadiology2024

Diagnostic Accuracy of Screening Contrast-enhanced Mammography for Women with Extremely Dense Breasts at Increased Risk of Breast Cancer.

Noam Nissan, Christopher E Comstock, Varadan Sevilimedu, Jill Gluskin, Victoria L Mango, Mary Hughes, R Elena Ochoa-Albiztegui, Janice S Sung, Maxine S Jochelson

Abstract read
In one paragraph

Article in Radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Breast MRI to Screen Women With Extremely Dense Breasts.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  10. Article
  11. Review
  12. Contrast-enhanced mammography in high-dense breasts: a narrative review.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Noam NissanFrom the Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY 100065.ORCID 0000-0001-5416-4199
Christopher E ComstockFrom the Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY 100065.ORCID 0000-0001-6303-3940
Varadan SevilimeduFrom the Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY 100065.ORCID 0000-0002-0938-9396
Jill GluskinFrom the Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY 100065.ORCID 0000-0002-6966-7597
Victoria L MangoFrom the Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY 100065.
Mary HughesFrom the Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY 100065.ORCID 0000-0002-4168-677X
R Elena Ochoa-AlbizteguiFrom the Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY 100065.
Janice S Sung *From the Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY 100065.ORCID 0000-0002-9067-9840
Maxine S Jochelson *From the Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY 100065.ORCID 0000-0002-4012-2470

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Background Mammogram interpretation is challenging in female patients with extremely dense breasts (Breast Imaging Reporting and Data System [BI-RADS] category D), who have a higher breast cancer risk. Contrast-enhanced mammography (CEM) has recently emerged as a potential alternative; however, data regarding CEM utility in this subpopulation are limited. Purpose To evaluate the diagnostic performance of CEM for breast cancer screening in female patients with extremely dense breasts. Materials and Methods This retrospective single-institution study included consecutive CEM examinations in asymptomatic female patients with extremely dense breasts performed from December 2012 to March 2022. From CEM examinations, low-energy (LE) images were the equivalent of a two-dimensional full-field digital mammogram. Recombined images highlighting areas of contrast enhancement were constructed using a postprocessing algorithm. The sensitivity and specificity of LE images and CEM images (ie, including both LE and recombined images) were calculated and compared using the McNemar test. Results This study included 1299 screening CEM examinations (609 female patients; mean age, 50 years ± 9 [SD]). Sixteen screen-detected cancers were diagnosed, and two interval cancers occured. Five cancers were depicted at LE imaging and an additional 11 cancers were depicted at CEM (incremental cancer detection rate, 8.7 cancers per 1000 examinations). CEM sensitivity was 88.9% (16 of 18; 95% CI: 65.3, 98.6), which was higher than the LE examination sensitivity of 27.8% (five of 18; 95% CI: 9.7, 53.5) (

Indexed as

Breast DensityBreast NeoplasmsContrast MediaMammographySensitivity and SpecificityAdultAgedBreastEarly Detection of CancerFemaleHumansMiddle AgedRadiographic Image EnhancementRetrospective StudiesContrast Media

Identifiers

PMID39352285
PMCPMC11535862

What OpenQuestion holds

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Registered trials

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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.