Evidence map›Paper›PMID 28670026›Full record

ArticleRadiologia brasileira

Diffusion-weighted imaging of suspicious (BI-RADS 4) breast lesions: stratification based on histopathology.

João Ricardo Maltez de Almeida, André Boechat Gomes, Thomas Pitangueira Barros, Paulo Eduardo Fahel, Mario de Souza Rocha

Abstract read
In one paragraph

Article in Radiologia brasileira. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. DCE-MRI-Derived Volume Transfer Constant (KTechnology in cancer research & treatment · 2018
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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.

João Ricardo Maltez de AlmeidaMD, Radiologist, Department of Diagnostic Imaging, Clínica de Assistência à Mulher - Grupo CAM, Salvador, BA, Brazil.
André Boechat GomesMD, Radiologist, Department of Diagnostic Imaging, Clínica de Assistência à Mulher - Grupo CAM, Salvador, BA, Brazil.
Thomas Pitangueira BarrosBMSc, Clínica de Assistência à Mulher - Grupo CAM, Department of Biomedicine, Escola Bahiana de Medicina e Saúde Pública - Campus Brotas, Salvador, BA, Brazil.
Paulo Eduardo FahelMD, Pathologist, Clínica de Assistência à Mulher - Grupo CAM, Salvador, BA, Brazil.
Mario de Souza RochaMD, PhD, Department of Medicine, Escola Bahiana de Medicina e Saúde Pública - Campus Brotas, Salvador, BA, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo test the use of diffusion-weighted imaging (DWI) in stratifying suspicious breast lesions (BI-RADS 4), correlating them with histopathology. We also investigated the performance of DWI related to the main enhancement patterns (mass and non-mass) and tested its reproducibility. MATERIALS AND

methodsSeventy-six patients presented 92 lesions during the sampling period. Two independent examiners reviewed magnetic resonance imaging studies, described the lesions, and determined the apparent diffusion coefficient (ADC) values. Differences among benign, indeterminate- to high-risk, and malignant findings, in terms of the ADCs, were assessed by analysis of variance. Using receiver operating characteristic (ROC) curves, we compared the performance of ADC values in masses and non-mass lesions, and tested the reproducibility of measurements by determining the coefficient of variation and smallest real difference.

resultsAmong the 92 lesions evaluated, the histopathology showed that 37 were benign, 11 were indeterminate- to high-risk, and 44 were malignant. The mean ADC differed significantly among those histopathological groups, the value obtained for the malignant lesions (1.10 × 10

conclusionDWI can differentiate between malignant and nonmalignant (benign or indeterminate- to high-risk) lesions, showing better performance for masses. Nevertheless, stratification based on histopathological criteria that are more refined has yet to be achieved.

Indexed as

Breast neoplasmsDiffusion magnetic resonance imaging/methodsMagnetic resonance imagingNeoplasms/pathology

Identifiers

PMID28670026
PMCPMC5487229

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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.