Evidence map›Paper›PMID 40074593›Full record

ArticleUltrasound in medicine & biology2025

Comparative Assessment of Real-Time and Offline Short-Lag Spatial Coherence Imaging of Ultrasound Breast Masses.

Nethra Venkatayogi, Arunima Sharma, Emily B Ambinder, Kelly S Myers, Eniola T Oluyemi, Lisa A Mullen, Muyinatu A Lediju Bell

Erratum issuedAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasound in medicine & biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Nethra VenkatayogiDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Arunima SharmaDepartment of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.
Emily B AmbinderDepartment of Radiology & Radiological Science, Johns Hopkins Medicine, Baltimore, MD, USA.
Kelly S MyersDepartment of Radiology & Radiological Science, Johns Hopkins Medicine, Baltimore, MD, USA.
Eniola T OluyemiDepartment of Radiology & Radiological Science, Johns Hopkins Medicine, Baltimore, MD, USA.
Lisa A MullenDepartment of Radiology & Radiological Science, Johns Hopkins Medicine, Baltimore, MD, USA.
Muyinatu A Lediju BellDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA; Department of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. Electronic address: mledijubell@jhu.edu.

Funding

Minimizing Uncertainty in Breast Ultrasound Imaging with Real-Time Coherence-Based BeamformingR01EB032960 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI BELL, MUYINATU A. LEDIJU · 2022 to 2025
$1.6M
NIBIB NIH HHS R01 EB032960
6 · The paper itself

Abstract

objectiveTo perform the first known investigation of differences between real-time and offline B-mode and short-lag spatial coherence (SLSC) images when evaluating fluid or solid content in 60 hypoechoic breast masses.

methodsReal-time and retrospective (i.e., offline) reader studies were conducted with three board-certified breast radiologists, followed by objective, reader-independent discrimination using generalized contrast-to-noise ratio (gCNR).

resultsThe content of 12 fluid, solid and mixed (i.e., containing fluid and solid components) masses were uncertain when reading real-time B-mode images. With real-time and offline SLSC images, 15 and 5, respectively, aggregated solid and mixed masses (and no fluid masses) were uncertain. Therefore, with real-time SLSC imaging, uncertainty about solid masses increased relative to offline SLSC imaging, while uncertainty about fluid masses decreased relative to real-time B-mode imaging. When assessing real-time SLSC reader results, 100% (11/11) of solid masses with uncertain content were correctly classified with a gCNR<0.73 threshold applied to real-time SLSC images. The areas under receiver operator characteristic curves characterizing gCNR as an objective metric to discriminate complicated cysts from solid masses were 0.963 and 0.998 with real-time and offline SLSC images, respectively, which are both considered excellent for diagnostic testing.

conclusionResults are promising to support real-time SLSC imaging and gCNR application to real-time SLSC images to enhance sensitivity and specificity, reduce reader variability, and mitigate uncertainty about fluid or solid content, particularly when distinguishing complicated cysts (which are benign) from hypoechoic solid masses (which could be cancerous).

Indexed as

Breast NeoplasmsUltrasonography, MammaryAdultAgedBreastFemaleHumansMiddle AgedReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityBreast cancerBreast ultrasoundCoherence-based beamformingComplicated cystsGeneralized contrast-to-noise ratioGPU programming

Identifiers

PMID40074593
PMCPMC12010921

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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.