Evidence map›Paper›PMID 27578047›Full record

ArticleEuropean radiology2017

Diffusion-weighted imaging of breast lesions: Region-of-interest placement and different ADC parameters influence apparent diffusion coefficient values.

Hubert Bickel, Katja Pinker, Stephan Polanec, Heinrich Magometschnigg, Georg Wengert, Claudio Spick, Wolfgang Bogner, Zsuzsanna Bago-Horvath, Thomas H Helbich, Pascal Baltzer

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In one paragraph

Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 3 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

67 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Trial
  5. A multiparametric [European journal of nuclear medicine and molecular imaging · 2019
    Trial
  6. Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702).Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Trial
  7. Article
  8. Article
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  10. Hybrid [Bioengineering (Basel, Switzerland) · 2026
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Quantitative MR Imaging of the Breast.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Review
  18. Article
  19. Article
  20. Non-contrast Breast MR Imaging.Radiologic clinics of North America · 2024
    Review

7 more citing papers are in PubMed but not listed here.

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.

Hubert BickelDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Katja PinkerDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Stephan PolanecDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Heinrich MagometschniggDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Georg WengertDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Claudio SpickDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Wolfgang BognerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna - MR Center of Excellence, Vienna, Austria.
Zsuzsanna Bago-HorvathDepartment of Pathology, Medical University Vienna, Vienna, Austria.
Thomas H HelbichDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria. thomas.helbich@meduniwien.ac.at.
Pascal BaltzerDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.

Funding

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

Abstract

objectivesTo investigate the influence of region-of-interest (ROI) placement and different apparent diffusion coefficient (ADC) parameters on ADC values, diagnostic performance, reproducibility and measurement time in breast tumours.

methodsIn this IRB-approved, retrospective study, 149 histopathologically proven breast tumours (109 malignant, 40 benign) in 147 women (mean age 53.2) were investigated. Three radiologists independently measured minimum, mean and maximum ADC, each using three ROI placement approaches:1 - small 2D-ROI, 2 - large 2D-ROI and 3 - 3D-ROI covering the whole lesion. One reader performed all measurements twice. Median ADC values, diagnostic performance, reproducibility, and measurement time were calculated and compared between all combinations of ROI placement approaches and ADC parameters.

resultsMedian ADC values differed significantly between the ROI placement approaches (p < .001). Minimum ADC showed the best diagnostic performance (AUC .928-.956), followed by mean ADC obtained from 2D ROIs (.926-.94). Minimum and mean ADC showed high intra- (ICC .85-.94) and inter-reader reproducibility (ICC .74-.94). Median measurement time was significantly shorter for the 2D ROIs (p < .001).

conclusionsROI placement significantly influences ADC values measured in breast tumours. Minimum and mean ADC acquired from 2D-ROIs are useful for the differentiation of benign and malignant breast lesions, and are highly reproducible, with rapid measurement. KEY POINTS: • Region of interest placement significantly influences apparent diffusion coefficient of breast tumours. • Minimum and mean apparent diffusion coefficient perform best and are reproducible. • 2D regions of interest perform best and provide rapid measurement times.

Indexed as

AdultAgedAged, 80 and overBreast NeoplasmsDiffusion Magnetic Resonance ImagingFemaleHumansMiddle AgedObserver VariationReproducibility of ResultsRetrospective StudiesYoung AdultBreast cancerDiffusion magnetic resonance imagingMagnetic resonance imagingMolecular imagingReproducibility of results and findings

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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.