Evidence map›Paper›PMID 42707735›Full record

ArticleJournal of ultrasonography2025

Differentiation of triple-negative breast cancer and benign breast lesions using multiparametric ultrasonography.

Magdalena Gumowska, Katarzyna Sylwia Dobruch-Sobczak

Abstract read
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Article in Journal of ultrasonography, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Magdalena GumowskaSecond Radiology Department, Maria Skłodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-3811-9395
Katarzyna Sylwia Dobruch-SobczakSecond Radiology Department, Maria Skłodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0003-1470-4140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Assessment of features of triple-negative breast cancer (TNBC) and benign breast lesions in multipara-metric ultrasonography, with an emphasis on the added value of sonoelastography. Material and methods: Forty-one women with TNBC and 51 with benign breast lesions, underwent sonographic evaluation at the Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw, between 05.2020 and 11.2023. A retrospective analysis was conducted. The following features of the tumors were evaluated: B-mode characteristics, presence of vascularity, and tissue stiffness in shear wave elastography. Two sets of data were extracted from the database: the first encompassing the total group of tumors (TG), the second comprising small lesions (<20 mm, SG). Statistical analysis for both groups was run independently to investigate if and how the size of the tumor would influence the diagnostic accuracy of the sonographic evaluation. TNBCs and benign entities were compared with t-Student's test, Mann-Whitney U test, Pearson's chi-square test or Fisher's exact test. ROC analysis and logistic regression were conducted. Results: For TG, ultrasound showed high predictive accuracy (AUC >0.8) for the following single parameters: elastography other than soft (>80 kPa) and irregular shape. Adding 2 features improved performance, with the highest AUC (0.858) for non-circumscribed margins and irregular shape. For SG, single parameters with the best predictive effectiveness (AUC >0,8) were: irregular shape, elastography other than soft (>80 kPa), and noncircumscribed margins. Elastography other than soft revealed high specificity. Combinations of features with AUC >0.9 were: irregular shape and hypoechogenicity; non-circumscribed margins and hypoechogenicity; and non-circumscribed margins, irregular shape, and hypoechogenicity. Conclusions: Accurate assessment of shape and margins, enhanced by information about tissue stiffness, substantially improves differentiation between TNBC and benign breast lesions.

Indexed as

sonoelastographyTNBCultrasound

Identifiers

PMID42707735
PMCPMC13548022

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