Evidence map›Paper›PMID 22047360›Full record

ArticleMedical physics2011

Comparison of breast density measured on MR images acquired using fat-suppressed versus nonfat-suppressed sequences.

Daniel H-E Chang, Jeon-Hor Chen, Muqing Lin, Shadfar Bahri, Hon J Yu, Rita S Mehta, Ke Nie, David J B Hsiang, Orhan Nalcioglu, Min-Ying Su

Abstract readComparative Study
In one paragraph

Article in Medical physics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

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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.

Daniel H-E ChangDepartment of Radiological Sciences, University of California, Irvine, CA 92697, USA.
Jeon-Hor Chen
Muqing Lin
Shadfar Bahri
Hon J Yu
Rita S Mehta
Ke Nie
David J B Hsiang
Orhan Nalcioglu
Min-Ying Su

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
Prediction of Neoadjuvant Chemo Pathological Response Using MRI MarkersR01CA127927 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI SU, MIN-YING L. · 2008 to 2017
$5.0M
Evaluation of 3D MRI-Based Quantitative Breast Density for ChemopreventionR03CA136071 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI CHEN, JEON-HOR · 2009 to 2010
$153k
NCI NIH HHS P30 CA062203NCI NIH HHS R01 CA127927NCI NIH HHS R03 CA136071
6 · The paper itself

Abstract

purposeTo investigate the difference of MR percent breast density measured from fat-suppressed versus nonfat-suppressed imaging sequences.

methodsBreast magnetic resonance imaging (MRI) with and without fat suppression was acquired from 38 subjects. Breasts were divided into subgroups of different morphological patterns ("central" and "intermingled" types). Breast volume, fibroglandular tissue volume, and percent density were measured. The results were compared using nonparametric statistical tests and regarded as significant at p < 0.05.

resultsBreast volume, fibroglandular volume, and percent density between fat-suppressed and nonfat-suppressed sequences were highly correlated. Breast volumes measured on these two sequences were almost identical. Fibroglandular tissue volume and percent density, however, had small (<5%) yet significant differences between the two sequences-they were both higher on the fat-suppressed sequence. Intraobserver variability was within 4% for both sequences and different morphological types. The fibroglandular tissue volume measured on downsampled images showed a small (<5%) yet significant difference.

conclusionsThe measurement of breast density made on MRI acquired using fat-suppressed and nonfat-suppressed T1W images was about 5% difference, only slightly higher than the intraobserver variability of 3%-4%. When the density data from multiple centers were to be combined, evaluating the degree of difference is needed to take this difference into account.

Indexed as

Adipose TissueAdultAgedAged, 80 and overBreastFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMiddle AgedObserver Variation

Identifiers

PMID22047360
PMCPMC3215688

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.