Evidence map›Paper›PMID 34694019›Full record

ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2022

3D Harmonic and Subharmonic Imaging for Characterizing Breast Lesions: A Multi-Center Clinical Trial.

Flemming Forsberg, Catherine W Piccoli, Anush Sridharan, Annina Wilkes, Alexander Sevrukov, Haydee Ojeda-Fournier, Robert F Mattrey, Priscilla Machado, Maria Stanczak, Daniel A Merton and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

12 authors.

Flemming ForsbergDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0003-2215-1371
Catherine W PiccoliSouth Jersey Radiology, Voorhees, NJ, USA.
Anush SridharanDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Annina WilkesDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Alexander SevrukovDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Haydee Ojeda-FournierDepartment of Radiology, University of California San Diego, San Diego, CA, USA.
Robert F MattreyDepartment of Radiology, University of California San Diego, San Diego, CA, USA.
Priscilla MachadoDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Maria StanczakDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Daniel A MertonDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Kirk WallaceGE Global Research, Niskayuna, NY, USA.
John R EisenbreyDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0001-6411-3424

Funding

Quantitative Subharmonic Breast ImagingR01CA140338 · NCI · THOMAS JEFFERSON UNIVERSITY · PI FORSBERG, FLEMMING · 2010 to 2014
$1.9M
NCI NIH HHS R01 CA140338U.S. Department of Defense W81XWH-11-1-0630
6 · The paper itself

Abstract

objectiveBreast cancer is the most frequent type of cancer among women. This multi-center study assessed the ability of 3D contrast-enhanced ultrasound to characterize suspicious breast lesions using clinical assessments and quantitative parameters.

methodsWomen with suspicious breast lesions scheduled for biopsy were enrolled in this prospective, study. Following 2D grayscale ultrasound and power Doppler imaging (PDI), a contrast agent (Definity; Lantheus) was administrated. Contrast-enhanced 3D harmonic imaging (HI; transmitting/receiving at 5.0/10.0 MHz), as well as 3D subharmonic imaging (SHI; transmitting/receiving at 5.8/2.9 MHz), were performed using a modified Logiq 9 scanner (GE Healthcare). Five radiologists independently scored the imaging modes (including standard-of-care imaging) using a 7-point BIRADS scale as well as lesion vascularity and diagnostic confidence. Parametric volumes were constructed from time-intensity curves for vascular heterogeneity, perfusion, and area under the curve. Diagnostic accuracy was determined relative to pathology using receiver operating characteristic (ROC) and reverse, step-wise logistical regression analyses. The κ-statistic was calculated for inter-reader agreement.

resultsData were successfully acquired in 219 cases and biopsies indicated 164 (75%) benign and 55 (25%) malignant lesions. SHI depicted more anastomoses and vascularity than HI (P < .021), but there were no differences by pathology (P > .27). Ultrasound achieved accuracies of 82 to 85%, which was significantly better than standard-of-care imaging (72%; P < .03). SHI increased diagnostic confidence by 3 to 6% (P < .05), but inter-reader agreements were medium to low (κ < 0.52). The best regression model achieved 97% accuracy by combining clinical reads and parametric SHI.

conclusionsCombining quantitative 3D SHI parameters and clinical assessments improves the characterization of suspicious breast lesions.

Indexed as

Breast NeoplasmsContrast MediaBreastFemaleHumansImaging, Three-DimensionalProspective StudiesUltrasonographyUltrasonography, DopplerContrast Media3D ultrasound imagingbreast cancercontrast-enhanced ultrasoundharmonic imagingsubharmonic imaging

Identifiers

PMID34694019
PMCPMC9884499

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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.