Evidence map›Paper›PMID 32894448›Full record

ArticleLa Radiologia medica2021

The role of rare breast cancers in the false negative strain elastography results.

Gulten Sezgin, Mehmet Coskun, Melda Apaydin, Aysegul Akder Sari

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Article in La Radiologia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 32% of its field
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

The trial behind it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Gulten SezginDepartment of Radiology, Izmir Katip Celebi University Ataturk Training and Research Hospital, Basin Sitesi Mah. Hasan Tahsin Cad No: 143, Karabaglar, 35150, Izmir, Turkey. sezgingulten@gmail.com.ORCID http://orcid.org/0000-0001-6193-6011
Mehmet CoskunDepartment of Radiology, Izmir Katip Celebi University Ataturk Training and Research Hospital, Basin Sitesi Mah. Hasan Tahsin Cad No: 143, Karabaglar, 35150, Izmir, Turkey.ORCID http://orcid.org/0000-0003-4339-898X
Melda ApaydinDepartment of Radiology, Izmir Katip Celebi University Ataturk Training and Research Hospital, Basin Sitesi Mah. Hasan Tahsin Cad No: 143, Karabaglar, 35150, Izmir, Turkey.ORCID http://orcid.org/0000-0001-6841-4988
Aysegul Akder SariDepartment of Pathology, Izmir Katip Celebi University Faculty of Medicine, 35150, Izmir, Turkey.ORCID http://orcid.org/0000-0001-6897-6438
Izmir Kâtip Çelebi University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeElastography was primarily used as an adjunctive method along with ultrasonography in differentiation between benign from malignant lesions. Occasionally, overlaps can occur which are caused by some rare invasive breast cancers. Our aim is to analyze the role of rare breast cancers in false negative strain elastography results and to assess the relation among false negative results and tumor size, lesion distance to skin, and tumor grade.

methodsPatients with BI-RADS 5 category underwent strain elastography and core biopsy. All those with confirmed invasive breast cancer were included. For each rare breast cancer, four usual invasive breast cancer cases were taken as a control group. The cut-off value of strain ratio was considered as 2.3. The true positive and the false negative groups were compared in terms of histological type (rare carcinomas and the others) and the other parameters. Pearson Chi-square and Fisher's exact test were used for statistical analyses. P values < 0.05 were considered statistically significant.

resultsOne hundred-thirteen patients were defined as true positive (70.6%), and 47 patients were defined as false negative (29.4%). Strain ratio values of the rare breast cancers were significantly lower than those of the other breast cancers (p = 0.012). There was no statistically significant difference between the groups with respect to tumor size, distance to skin, and tumor grade (p > 0.05).

conclusionThe rare breast cancers are an important cause of false negativity in elastographic evaluation of invasive breast cancers. The results should be interpreted in combination with grayscale US findings.

Indexed as

Elasticity Imaging TechniquesTumor BurdenAdultAgedAged, 80 and overBiopsy, Fine-NeedleBreastBreast NeoplasmsChi-Square DistributionFalse Negative ReactionsFemaleHumansMiddle AgedRare DiseasesRetrospective StudiesFalse negativeRare breast cancersStrain elastography

Identifiers

PMID32894448
OpenAlexW3083664251

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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.