Evidence map›Paper›PMID 27108300›Full record

ArticleEuropean radiology2016

Inter- and intra-observer agreement of BI-RADS-based subjective visual estimation of amount of fibroglandular breast tissue with magnetic resonance imaging: comparison to automated quantitative assessment.

G J Wengert, T H Helbich, R Woitek, P Kapetas, P Clauser, P A Baltzer, W-D Vogl, M Weber, A Meyer-Baese, Katja Pinker

Open access · hybridAbstract readComparative StudyEvaluation Study
In one paragraph

Article in European radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

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  13. Breast density estimation from high spectral and spatial resolution MRI.Journal of medical imaging (Bellingham, Wash.) · 2016
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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

10 authors at 3 institutions in 2 countries.

G J WengertDepartment of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna/ Vienna General Hospital, Waehringer Guertel 18-20, 1090, Vienna, Austria.
T H HelbichDepartment of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna/ Vienna General Hospital, Waehringer Guertel 18-20, 1090, Vienna, Austria.
R WoitekDepartment of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna/ Vienna General Hospital, Waehringer Guertel 18-20, 1090, Vienna, Austria.
P KapetasDepartment of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna/ Vienna General Hospital, Waehringer Guertel 18-20, 1090, Vienna, Austria.
P ClauserDepartment of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna/ Vienna General Hospital, Waehringer Guertel 18-20, 1090, Vienna, Austria.
P A BaltzerDepartment of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna/ Vienna General Hospital, Waehringer Guertel 18-20, 1090, Vienna, Austria.
W-D VoglDepartment of Biomedical Imaging and Image-guided Therapy, Computational Imaging Research Lab, Medical University of Vienna, Wien, Austria.
M WeberDepartment of Biomedical Imaging and Image-guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Wien, Austria.
A Meyer-BaeseDepartment of Scientific Computing in Medicine, State University of Florida, Tallahassee, FL, USA.
Katja PinkerDepartment of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna/ Vienna General Hospital, Waehringer Guertel 18-20, 1090, Vienna, Austria. katja.pinker@meduniwien.ac.at.ORCID http://orcid.org/0000-0002-2722-7331
Vienna General Hospital · ATFlorida State University · USMedical University of Vienna · AT

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeTo evaluate the inter-/intra-observer agreement of BI-RADS-based subjective visual estimation of the amount of fibroglandular tissue (FGT) with magnetic resonance imaging (MRI), and to investigate whether FGT assessment benefits from an automated, observer-independent, quantitative MRI measurement by comparing both approaches. MATERIALS AND

methodsEighty women with no imaging abnormalities (BI-RADS 1 and 2) were included in this institutional review board (IRB)-approved prospective study. All women underwent un-enhanced breast MRI. Four radiologists independently assessed FGT with MRI by subjective visual estimation according to BI-RADS. Automated observer-independent quantitative measurement of FGT with MRI was performed using a previously described measurement system. Inter-/intra-observer agreements of qualitative and quantitative FGT measurements were assessed using Cohen's kappa (k).

resultsInexperienced readers achieved moderate inter-/intra-observer agreement and experienced readers a substantial inter- and perfect intra-observer agreement for subjective visual estimation of FGT. Practice and experience reduced observer-dependency. Automated observer-independent quantitative measurement of FGT was successfully performed and revealed only fair to moderate agreement (k = 0.209-0.497) with subjective visual estimations of FGT.

conclusionSubjective visual estimation of FGT with MRI shows moderate intra-/inter-observer agreement, which can be improved by practice and experience. Automated observer-independent quantitative measurements of FGT are necessary to allow a standardized risk evaluation. KEY POINTS: • Subjective FGT estimation with MRI shows moderate intra-/inter-observer agreement in inexperienced readers. • Inter-observer agreement can be improved by practice and experience. • Automated observer-independent quantitative measurements can provide reliable and standardized assessment of FGT with MRI.

Indexed as

AdultBreast DensityBreast NeoplasmsFemaleHumansMagnetic Resonance ImagingMiddle AgedObserver VariationProspective StudiesYoung AdultAmount of fibroglandular tissueBreast imagingInter-/intra-observer agreementMagnetic resonance imagingQuantitative assessment of breast density

Identifiers

PMID27108300
PMCPMC5052327
OpenAlexW2337749672

What OpenQuestion holds

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Registered trials

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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.