Evidence map›Paper›PMID 31468162›Full record

ArticleEuropean radiology2020

Differentiation between subcentimeter carcinomas and benign lesions using kinetic parameters derived from ultrafast dynamic contrast-enhanced breast MRI.

Natsuko Onishi, Meredith Sadinski, Peter Gibbs, Katherine M Gallagher, Mary C Hughes, Eun Sook Ko, Brittany Z Dashevsky, Dattesh D Shanbhag, Maggie M Fung, Theodore M Hunt and 4 more

Open access · greenAbstract read
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Institutional Variability in Ultrafast Breast MR Imaging: Comparing Compressed Sensing and View Sharing Techniques with Different Patient Populations and Contrast Injection Protocols.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  7. Article
  8. Abbreviated and Ultrafast Dynamic Contrast-enhanced (DCE) MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Review
  9. Ultrafast Breast MRI: A Narrative Review.Journal of personalized medicine · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Ultrafast Dynamic Contrast-enhanced MRI of the Breast: How Is It Used?Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 2 countries.

Natsuko OnishiBreast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Meredith SadinskiBreast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Peter GibbsBreast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Katherine M GallagherBreast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Mary C HughesBreast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Eun Sook KoBreast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Brittany Z DashevskyBreast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Dattesh D ShanbhagGE Healthcare, Bangalore, India.
Maggie M FungGE Healthcare, New York, NY, USA.
Theodore M HuntBreast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Danny F MartinezBreast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Amita Shukla-DaveBreast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Elizabeth A MorrisBreast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Elizabeth J SuttonBreast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. suttone@mskcc.org.ORCID http://orcid.org/0000-0002-1407-7012
Memorial Sloan Kettering Cancer Center · USHealthcare Global Enterprises · IN

Funding

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

Abstract

objectivesThis study aims to evaluate ultrafast DCE-MRI-derived kinetic parameters that reflect contrast agent inflow effects in differentiating between subcentimeter BI-RADS 4-5 breast carcinomas and benign lesions.

methodsWe retrospectively reviewed consecutive 3-T MRI performed from February to October 2017, during which ultrafast DCE-MRI was performed as part of a hybrid clinical protocol with conventional DCE-MRI. In total, 301 female patients with 369 biopsy-proven breast lesions were included. Ultrafast DCE-MRI was acquired continuously over approximately 60 s (temporal resolution, 2.7-7.1 s/phase) starting simultaneously with the start of contrast injection. Four ultrafast DCE-MRI-derived kinetic parameters (maximum slope [MS], contrast enhancement ratio [CER], bolus arrival time [BAT], and initial area under gadolinium contrast agent concentration [IAUGC]) and one conventional DCE-MRI-derived kinetic parameter (signal enhancement ratio [SER]) were calculated for each lesion. Wilcoxon rank sum test or Fisher's exact test was performed to compare kinetic parameters, volume, diameter, age, and BI-RADS morphological descriptors between subcentimeter carcinomas and benign lesions. Univariate/multivariate logistic regression analyses were performed to determine predictive parameters for subcentimeter carcinomas.

resultsIn total, 125 lesions (26 carcinomas and 99 benign lesions) were identified as BI-RADS 4-5 subcentimeter lesions. Subcentimeter carcinomas demonstrated significantly larger MS and SER and shorter BAT than benign lesions (p = 0.0117, 0.0046, and 0.0102, respectively). MS, BAT, and age were determined as significantly predictive for subcentimeter carcinoma (p = 0.0208, 0.0023, and < 0.0001, respectively).

conclusionsUltrafast DCE-MRI-derived kinetic parameters may be useful in differentiating subcentimeter BI-RADS 4 and 5 carcinomas from benign lesions. KEY POINTS: • Ultrafast DCE-MRI can generate kinetic parameters, effectively differentiating breast carcinomas from benign lesions. • Subcentimeter carcinomas demonstrated significantly larger maximum slope and shorter bolus arrival time than benign lesions. • Maximum slope and bolus arrival time contribute to better management of suspicious subcentimeter breast lesions.

Indexed as

Contrast MediaAdultBreastBreast NeoplasmsDiagnosis, DifferentialFemaleHumansImage EnhancementKineticsMagnetic Resonance ImagingMiddle AgedRetrospective StudiesContrast MediaBreastCancerDifferential diagnosisKineticsMagnetic resonance imaging

Identifiers

PMID31468162
PMCPMC7570436
OpenAlexW2970925348

What OpenQuestion holds

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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.