Evidence map›Paper›PMID 41892931›Full record

ArticleJournal of imaging2026

Quantitative Ultrasound Texture Analysis of Breast Tumor Responses to Chemotherapy: Comparison of a Cart-Based and a Wireless Ultrasound Scanner.

David Alberico, Maria Lourdes Anzola Pena, Laurentius O Osapoetra, Lakshmanan Sannachi, Joyce Yip, Sonal Gandhi, Frances Wright, Michael Oelze, Gregory J Czarnota

Abstract read
In one paragraph

Article in Journal of imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

David AlbericoPhysical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 0A4, Canada.
Maria Lourdes Anzola PenaPhysical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 0A4, Canada.ORCID 0009-0000-5588-9730
Laurentius O OsapoetraPhysical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 0A4, Canada.
Lakshmanan SannachiPhysical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 0A4, Canada.
Joyce YipPhysical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 0A4, Canada.
Sonal GandhiDivision of Medical Oncology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON M4N 0A4, Canada.ORCID 0000-0001-8993-1327
Frances WrightDepartment of Division of Surgical Oncology, Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, ON M4N 0A4, Canada.
Michael OelzeDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Champaign, IL 61801, USA.ORCID 0000-0002-3099-7425
Gregory J CzarnotaPhysical Sciences, Sunnybrook Research Institute, Toronto, ON M4N 0A4, Canada.

Funding

Natural Sciences and Engineering Research Council of Canada 2019-06846Terry Fox Foundation 1115
6 · The paper itself

Abstract

This study assessed the level of agreement between quantitative ultrasound (QUS) feature estimates derived from ultrasound images of breast tumors in women with locally advanced breast cancer (LABC) produced using a cart-based and a handheld ultrasound system. Thirty LABC patients receiving neoadjuvant chemotherapy were imaged at two separate times: a pre-treatment 'baseline' time point, and four weeks after the start of chemotherapy. Three sets of QUS features were produced using the reference phantom technique, one for each imaging time and a third set calculated by taking the differences in feature estimates between times. Cross-system statistical testing using the Wilcoxon signed-rank test was performed for each feature set to assess the level of feature estimate agreement between ultrasound systems. The Bland-Altman method was employed to graphically assess feature sets for systematic skew. The range of

Indexed as

breast cancerquantitative ultrasoundtexture analysiswireless ultrasound

Identifiers

PMID41892931
PMCPMC13027528

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.