Evidence map›Paper›PMID 32725074›Full record

ArticleClinics (Sao Paulo, Brazil)2020

Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions.

Renato de Oliveira Pereira, Larissa Almondes da Luz, Diego Cipriano Chagas, Jefferson Rodrigues Amorim, Elmo de Jesus Nery-Júnior, Araci Castelo Branco Rodrigues Alves, Flávio Teixeira de Abreu-Neto, Maria da Conceição Barros Oliveira, Danylo Rafhael Costa Silva, José Maria Soares-Júnior and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 8% 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.

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

15 citing papers in PubMed, 44 citations in OpenAlex.

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  10. Health Care Accessibility and Breast Cancer Mortality in Europe.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 2 countries.

Renato de Oliveira PereiraPrograma de Pos-Graduacao em Ciencias da Saude, Universidade Federal do Piaui, Teresina, PI, BR.
Larissa Almondes da LuzDepartamento de Mastologia, Hospital Getulio Vargas, Teresina, PI, BR.
Diego Cipriano ChagasPrograma de Pos-Graduacao em Ciencias da Saude, Universidade Federal do Piaui, Teresina, PI, BR.
Jefferson Rodrigues AmorimPrograma de Pos-Graduacao em Ciencias da Saude, Universidade Federal do Piaui, Teresina, PI, BR.
Elmo de Jesus Nery-JúniorPrograma de Pos-Graduacao, Rede Nordeste de Biotecnologia (RENORBIO), Universidade Federal do Piaui, Teresina, PI, BR.
Araci Castelo Branco Rodrigues AlvesDepartamento de Mastologia, Hospital Getulio Vargas, Teresina, PI, BR.
Flávio Teixeira de Abreu-NetoDepartamento de Mastologia, Hospital Getulio Vargas, Teresina, PI, BR.
Maria da Conceição Barros OliveiraPrograma de Pos-Graduacao, Rede Nordeste de Biotecnologia (RENORBIO), Universidade Federal do Piaui, Teresina, PI, BR.
Danylo Rafhael Costa SilvaPrograma de Pos-Graduacao, Rede Nordeste de Biotecnologia (RENORBIO), Universidade Federal do Piaui, Teresina, PI, BR.
José Maria Soares-JúniorDisciplina de Ginecologia, Departamento de Obstetricia e Ginecologia, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, BR.ORCID 0000-0003-0774-9404
Benedito Borges da SilvaPrograma de Pos-Graduacao em Ciencias da Saude, Universidade Federal do Piaui, Teresina, PI, BR.ORCID 0000-0002-9542-7538
Max Planck Society · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn breast cancer diagnosis, mammography (MMG), ultrasonography (USG) and magnetic resonance imaging (MRI) are the imaging methods most used. There is a scarcity of comparative studies that evaluate the accuracy of these methods in the diagnosis of breast cancer.

methodsA cross-sectional study was carried out through the review of electronic medical records of 32 female patients who underwent breast imaging examinations at a imaging diagnostic center in Teresina, State of Piauí, Brazil. Patients who had these three imaging methods at the time of the evaluation of the same nodule were included. The nodule must have been classified as suspect by the BI-RADS® system in at least one of the methods. Data from each method were compared with the histopathological examination. Statistical analysis used the calculation of proportions in Excel 2010.

resultsMMG showed 56.2%, 87.5%, 81.8%, 66.7% and 71.8% of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy, respectively. USG had 75%, 18.8%, 48%, 42.8% and 46.9% of sensitivity, specificity, PPV, NPV and accuracy, respectively. In turn, MRI had 100%, 50%, 66.7%, 100% and 75% of sensitivity, specificity, PPV, NPV and accuracy, respectively.

conclusionThus, MRI and MMG were more accurate in evaluating suspicious breast lumps. MRI had a low specificity, mainly to high breast density, while MMG had also sensitivity limited due to high breast density and USG has been proven to be useful in these patients.

Indexed as

Breast NeoplasmsUltrasonography, MammaryBrazilBreastCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMammographySensitivity and SpecificityUltrasonography

Identifiers

PMID32725074
PMCPMC7362717
OpenAlexW3043652985

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.