Evidence map›Paper›PMID 40726034›Full record

ArticleJournal of medical radiation sciences2025

Impact of Prior Mammograms on Radiologists and Radiographers' Detection of Different Breast Cancer Lesion Types.

Judith D Akwo, Phuong Dung Yun Trieu, Melissa L Barron, Tess Reynolds, Sarah J Lewis

Abstract read
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Article in Journal of medical radiation sciences, 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

5 authors.

Judith D AkwoMedical Image Optimisation and Perception Group, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0009-0008-5990-5046
Phuong Dung Yun TrieuMedical Image Optimisation and Perception Group, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0001-7021-6331
Melissa L BarronMedical Image Optimisation and Perception Group, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.
Tess ReynoldsImage X Institute, School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia.
Sarah J LewisMedical Image Optimisation and Perception Group, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0002-4791-9845

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMammographic interpretation relies on the detection of suspicious abnormal changes, and reference to prior mammograms may support the detection of these changes. However, the influence of prior mammograms on the detection of different breast lesions is unclear. This paper assesses the influence of prior mammograms on the detection of different lesion types in mammograms.

methodsMammographic test sets comprising different lesion types were interpreted in two stages. In Stage 1, eight radiologists interpreted current mammograms of 72 women (normal: n = 40; cancer: n = 32) with and without access to the prior mammograms. In Stage 2, 13 radiographers interpreted another test set containing 28 mammograms (normal: n = 19; cancer: n = 9) with and without access to the prior mammograms. Radiologists and radiographers' performances in detecting different lesion types with and without prior mammograms were compared separately using a paired t-test.

resultsIn Stage 1, reference to prior mammograms did not improve sensitivity for architectural distortions (p = 0.48), calcifications (p = 0.85), discrete masses (p = 0.45), and non-specific density (p = 0.22). However, prior mammograms improved the detection of spiculated/stellate lesions (p = 0.05) and diagnostic accuracy for architectural distortions (p = 0.006) and discrete/spiculated/stellate masses (p = 0.01). Prior mammograms had no impact on lesion sensitivity (p > 0.05). In Stage 2, no differences were observed in sensitivity and lesion sensitivity when compared to without prior mammograms for all lesion types (p > 0.05), but prior mammograms improved overall diagnostic accuracy (p ≤ 0.002).

conclusionsPrior mammograms improve the detection of spiculated/stellate lesions but have no impact on the detection of other lesion types when measuring radiologists' and radiographers' performance.

Indexed as

Breast NeoplasmsMammographyRadiologistsAdultAgedFemaleHumansMiddle Agedbreast cancermammographic featuresobserver performanceprior mammogramsradiographers' performanceradiologists' performance

Identifiers

PMID40726034
PMCPMC12661079

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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.