Evidence map›Paper›PMID 29313118›Full record

ArticleEuropean radiology2018

Proton density fat fraction (PDFF) MRI for differentiation of benign and malignant vertebral lesions.

Frederic Carsten Schmeel, Julian Alexander Luetkens, Peter Johannes Wagenhäuser, Michael Meier-Schroers, Daniel Lloyd Kuetting, Andreas Feißt, Jürgen Gieseke, Leonard Christopher Schmeel, Frank Träber, Hans Heinz Schild and 1 more

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Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 50 citations in OpenAlex.

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  18. Assessing the ADC of Bone-marrow on Whole-body MR Images in Relation to the Fat-suppression Method and Fat Content.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
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  19. MR-based proton density fat fraction (PDFF) of the vertebral bone marrow differentiates between patients with and without osteoporotic vertebral fractures.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Frederic Carsten SchmeelDepartment of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.
Julian Alexander LuetkensDepartment of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.
Peter Johannes WagenhäuserDepartment of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.
Michael Meier-SchroersDepartment of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.
Daniel Lloyd KuettingDepartment of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.
Andreas FeißtDepartment of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.
Jürgen GiesekePhilips Healthcare, Best, The Netherlands.
Leonard Christopher SchmeelDepartment of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.
Frank TräberDepartment of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.
Hans Heinz SchildDepartment of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.
Guido Matthias KukukDepartment of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany. Guido.Kukuk@ukbonn.de.
University of Bonn · DEUniversity Hospital Bonn · DEPhilips (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate whether proton density fat fraction (PDFF) measurements using a six-echo modified Dixon sequence can help to differentiate between benign and malignant vertebral bone marrow lesions.

methodsSixty-six patients were prospectively enrolled in our study. In addition to conventional MRI at 3.0-Tesla including at least sagittal T2-weighted/spectral attenuated inversion recovery and T1-weighted sequences, all patients underwent a sagittal six-echo modified Dixon sequence of the spine. The mean PDFF was calculated using regions of interest and compared between vertebral lesions. A cut-off value of 6.40% in PDFF was determined by receiver operating characteristic curves and used to differentiate between malignant (< 6.40%) and benign (≥ 6.40%) vertebral lesions.

resultsThere were 77 benign and 44 malignant lesions. The PDFF of malignant lesions was statistically significant lower in comparison with benign lesions (p < 0.001) and normal vertebral bone marrow (p < 0.001). The areas under the curves (AUC) were 0.97 for differentiating benign from malignant lesions (p < 0.001) and 0.95 for differentiating acute vertebral fractures from malignant lesions (p < 0.001). This yielded a diagnostic accuracy of 96% in the differentiation of both benign lesions and acute vertebral fractures from malignancy.

conclusionPDFF derived from six-echo modified Dixon allows for differentiation between benign and malignant vertebral lesions with a high diagnostic accuracy. KEY POINTS: • Establishing a diagnosis of indeterminate vertebral lesions is a common clinical problem • Benign bone marrow processes may mimic the signal alterations observed in malignancy • PDFF differentiates between benign and malignant lesions with a high diagnostic accuracy • PDFF of non-neoplastic vertebral lesions is significantly higher than that of malignancy • PDFF from six-echo modified Dixon may help avoid potentially harmful bone biopsy.

Indexed as

Adipose TissueAdolescentAdultAgedAged, 80 and overCervical VertebraeDiagnosis, DifferentialFemaleHumansLumbar VertebraeMagnetic Resonance ImagingMaleMiddle AgedProtonsROC CurveSacrumProtonsBone marrow malignancyChemical shift encoded imagingModified Dixon methodMRIProton density fat fraction

Identifiers

PMID29313118
OpenAlexW2784191671

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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.