Evidence map›Paper›PMID 35151365›Full record

SynthesisCancer imaging : the official publication of the International Cancer Imaging Society2022

Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis.

Timothy Musila Mutala, Gladys N Mwango, Angeline Aywak, Dania Cioni, Emanuele Neri

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cancer imaging : the official publication of the International Cancer Imaging Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07649590 (Diagnostic Value of Strain Elastography in Characterization of Solid Breast Lesions.), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 7% 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.

NCT07649590 completednot on this mapstarted 2025, after this paper: background citation

Diagnostic Value of Strain Elastography in Characterization of Solid Breast Lesions.

TypeobservationalSponsorSohag UniversityRan2025 to 2026Enrolled30ConditionsSolid Breast LesionsArmsUltrasound
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. MixTURE: L1-Norm-Based Mixed Second-Order Continuity in Strain Tensor Ultrasound Elastography.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Article
  8. Article
  9. Article
  10. Translating new breast ultrasound techniques into clinical practice: evaluating their intended uses and describing other unexpected uses for them.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2023
    Review
  11. 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

5 authors at 2 institutions in 2 countries.

Timothy Musila MutalaDepartment of Diagnostic Imaging and Radiation Medicine, University of Nairobi, Faculty of Health Sciences, P.O. Box 19676 00502, KNH, Nairobi, Kenya. musilamutala@gmail.com.ORCID http://orcid.org/0000-0003-2122-3740
Gladys N MwangoDepartment of Diagnostic Imaging and Radiation Medicine, University of Nairobi, Faculty of Health Sciences, P.O. Box 19676 00502, KNH, Nairobi, Kenya.
Angeline AywakDepartment of Diagnostic Imaging and Radiation Medicine, University of Nairobi, Faculty of Health Sciences, P.O. Box 19676 00502, KNH, Nairobi, Kenya.
Dania CioniDepartment of Translational Research, Master Course in Oncologic Imaging, University of Pisa, Via Roma 67 -, 56124, Pisa, Italy.
Emanuele NeriDepartment of Translational Research, Master Course in Oncologic Imaging, University of Pisa, Via Roma 67 -, 56124, Pisa, Italy.
University of Pisa · ITUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElastography is an addition to grey-scale ultrasonic examination that has gained substantial traction within the last decade. Strain ratio (SR) has been incorporated as a semiquantitative measure within strain elastography, thus a potential imaging biomarker. The World Federation for Ultrasound in Medicine and Biology (WFUMB) published guidelines in 2015 for breast elastography. These guidelines acknowledge the marked variance in SR cut-off values used in differentiating benign from malignant lesions. The objective of this review was to include more recent evidence and seek to determine the optimal strain ratio cut off value for differentiating between benign and malignant breast lesions.

methodsComprehensive search of MEDLINE and Web of Science electronic databases with additional searches via Google Scholar and handsearching set from January 2000 to May 2020 was carried out. For retrieved studies, screening for eligibility, data extraction and analysis was done as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Diagnostic Test Accuracy (PRISMA-DTA) Statement guidelines of 2018. Quality and risk of bias assessment of the studies were performed using the revised Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool.

resultsA total of 424 articles, 412 from electronic database and 12 additional searches were retrieved and 65 studies were included in the narrative synthesis and subgroup analysis. The overall threshold effect indicated significant heterogeneity among the studies with Spearman correlation coefficient of Logit (TPR) vs Logit (FPR) at - 0.301, p-value = 0.015. A subgroup under machine model consisting seven studies with 783 patients and 844 lesions showed a favourable threshold, Spearman's correlation coefficient,0.786 (p = 0.036).

conclusionFrom our review, currently the optimal breast SR cut-off point or value remains unresolved despite the WFUMB guidelines of 2015. Machine model as a possible contributor to cut-off value determination was suggested from this review which can be subjected to more industry and multi-center research determination.

Indexed as

Elasticity Imaging TechniquesBiomarkersBreastDiagnosis, DifferentialHumansBiomarkersBreast cancer imagingBreast massesCut-off valueStrain elastographyStrain ratio

Identifiers

PMID35151365
PMCPMC8841096
OpenAlexW4211005657

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.