Evidence map›Paper›PMID 30599102›Full record

ArticleRadiology2019

Compressed Sensing Radial Sampling MRI of Prostate Perfusion: Utility for Detection of Prostate Cancer.

David J Winkel, Tobias J Heye, Matthias R Benz, Carl G Glessgen, Christian Wetterauer, Lukas Bubendorf, Tobias K Block, Daniel T Boll

Abstract read
In one paragraph

Article in Radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  16. Article
  17. New prostate MRI techniques and sequences.Abdominal radiology (New York) · 2020
    Review
  18. Article
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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

8 authors.

David J WinkelFrom the Department of Radiology (D.J.W., T.J.H., M.R.B., C.G.G., D.T.B.), Department of Urology (C.W.), and Institute of Pathology (L.B.), University Hospital of Basel, 4031 Basel, Switzerland; and Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY (T.K.B.).ORCID 0000-0001-7051-8022
Tobias J HeyeFrom the Department of Radiology (D.J.W., T.J.H., M.R.B., C.G.G., D.T.B.), Department of Urology (C.W.), and Institute of Pathology (L.B.), University Hospital of Basel, 4031 Basel, Switzerland; and Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY (T.K.B.).
Matthias R BenzFrom the Department of Radiology (D.J.W., T.J.H., M.R.B., C.G.G., D.T.B.), Department of Urology (C.W.), and Institute of Pathology (L.B.), University Hospital of Basel, 4031 Basel, Switzerland; and Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY (T.K.B.).
Carl G GlessgenFrom the Department of Radiology (D.J.W., T.J.H., M.R.B., C.G.G., D.T.B.), Department of Urology (C.W.), and Institute of Pathology (L.B.), University Hospital of Basel, 4031 Basel, Switzerland; and Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY (T.K.B.).
Christian WetterauerFrom the Department of Radiology (D.J.W., T.J.H., M.R.B., C.G.G., D.T.B.), Department of Urology (C.W.), and Institute of Pathology (L.B.), University Hospital of Basel, 4031 Basel, Switzerland; and Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY (T.K.B.).
Lukas BubendorfFrom the Department of Radiology (D.J.W., T.J.H., M.R.B., C.G.G., D.T.B.), Department of Urology (C.W.), and Institute of Pathology (L.B.), University Hospital of Basel, 4031 Basel, Switzerland; and Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY (T.K.B.).
Tobias K BlockFrom the Department of Radiology (D.J.W., T.J.H., M.R.B., C.G.G., D.T.B.), Department of Urology (C.W.), and Institute of Pathology (L.B.), University Hospital of Basel, 4031 Basel, Switzerland; and Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY (T.K.B.).
Daniel T BollFrom the Department of Radiology (D.J.W., T.J.H., M.R.B., C.G.G., D.T.B.), Department of Urology (C.W.), and Institute of Pathology (L.B.), University Hospital of Basel, 4031 Basel, Switzerland; and Center for Advanced Imaging Innovation and Research, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY (T.K.B.).ORCID 0000-0001-8806-5826

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Dmitry S Novikov · 2014 to 2026
$19.3M
NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

Purpose To investigate the diagnostic performance of a dual-parameter approach by combining either volumetric interpolated breath-hold examination (VIBE)- or golden-angle radial sparse parallel (GRASP)-derived dynamic contrast agent-enhanced (DCE) MRI with established diffusion-weighted imaging (DWI) compared with traditional single-parameter evaluations on the basis of DWI alone. Materials and Methods Ninety-four male participants (66 years ± 7 [standard deviation]) were prospectively evaluated at 3.0-T MRI for clinical suspicion of prostate cancer. Included were 101 peripheral zone prostate cancer lesions. Histopathologic confirmation at MRI transrectal US fusion biopsy was matched with normal contralateral prostate parenchyma. MRI was performed with diffusion weighting and DCE by using GRASP (temporal resolution, 2.5 seconds) or VIBE (temporal resolution, 10 seconds). Perfusion (influx forward volume transfer constant [K

Indexed as

AgedContrast MediaDiffusion Magnetic Resonance ImagingHumansImage-Guided BiopsyImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleProspective StudiesProstatic NeoplasmsTumor BurdenContrast Media

Identifiers

PMID30599102
PMCPMC6924615

What OpenQuestion holds

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Registered trials

None linked

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.