Evidence map›Paper›PMID 33860502›Full record

ArticleRevista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia2021

Comparison of Automated Breast Ultrasound and Hand-Held Breast Ultrasound in the Screening of Dense Breasts.

Fernanda Philadelpho, Maria Julia Gregorio Calas, Gracy de Almeida Coutinho Carneiro, Isabela Cunha Silveira, Andréia Brandão Ribeiro Vaz, Adriana Maria Coelho Nogueira, Anke Bergmann, Flávia Paiva Proença Lobo Lopes

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 25% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Comparison of medical image interpretation time between conventional and automated methods of breast ultrasound.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2024
    Article
  10. The Automation of Breast Ultrasonography and the Medical Time Dedicated to the Method.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 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

8 authors at 3 institutions in 1 country.

Fernanda PhiladelphoRadiology Department, Diagnósticos da América (DASA), Barra da Tijuca, RJ, Brazil.ORCID 0000-0003-4855-8065
Maria Julia Gregorio CalasRadiology Department, Diagnósticos da América (DASA), Barra da Tijuca, RJ, Brazil.ORCID 0000-0002-7029-8530
Gracy de Almeida Coutinho CarneiroRadiology Department, Diagnósticos da América (DASA), Barra da Tijuca, RJ, Brazil.ORCID 0000-0002-3884-7667
Isabela Cunha SilveiraRadiology Department, Diagnósticos da América (DASA), Barra da Tijuca, RJ, Brazil.ORCID 0000-0002-7260-9400
Andréia Brandão Ribeiro VazRadiology Department, Diagnósticos da América (DASA), Barra da Tijuca, RJ, Brazil.ORCID 0000-0001-6933-8032
Adriana Maria Coelho NogueiraRadiology Department, Diagnósticos da América (DASA), Barra da Tijuca, RJ, Brazil.ORCID 0000-0003-3993-4508
Anke BergmannRadiology Department, Diagnósticos da América (DASA), Barra da Tijuca, RJ, Brazil.ORCID 0000-0002-1972-8777
Flávia Paiva Proença Lobo LopesRadiology Department, Diagnósticos da América (DASA), Barra da Tijuca, RJ, Brazil.ORCID 0000-0002-6713-4041
DASA (Brazil)Instituto Nacional de Câncer - INCA · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare hand-held breast ultrasound (HHBUS) and automated breast ultrasound (ABUS) as screening tool for cancer.

methodsA cross-sectional study in patients with mammographically dense breasts was conducted, and both HHBUS and ABUS were performed. Hand-held breast ultrasound was acquired by radiologists and ABUS by mammography technicians and analyzed by breast radiologists. We evaluated the Breast Imaging Reporting and Data System (BI-RADS) classification of the exam and of the lesion, as well as the amount of time required to perform and read each exam. The statistical analysis employed was measures of central tendency and dispersion, frequencies, Student t test, and a univariate logistic regression, through the odds ratio and its respective 95% confidence interval, and with

resultsA total of 440 patients were evaluated. Regarding lesions, HHBUS detected 15 (7.7%) BI-RADS 2, 175 (89.3%) BI-RADS 3, and 6 (3%) BI-RADS 4, with 3 being confirmed by biopsy as invasive ductal carcinomas (IDCs), and 3 false-positives. Automated breast ultrasound identified 12 (12.9%) BI-RADS 2, 75 (80.7%) BI-RADS 3, and 6 (6.4%) BI-RADS 4, including 3 lesions detected by HHBUS and confirmed as IDCs, in addition to 1 invasive lobular carcinoma and 2 high-risk lesions not detected by HHBUS. The amount of time required for the radiologist to read the ABUS was statistically inferior compared with the time required to read the HHBUS (

conclusionCompared with HHBUS, ABUS allowed adequate sonographic study in supplemental screening for breast cancer in heterogeneously dense and extremely dense breasts.

Indexed as

AdultAgedBreast NeoplasmsCross-Sectional StudiesEquipment DesignFemaleHumansMiddle AgedSensitivity and SpecificityUltrasonography, MammaryYoung Adult

Identifiers

PMID33860502
PMCPMC10183872
OpenAlexW3156763485

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.