Evidence map›Paper›PMID 27649481›Full record

ArticleJournal of magnetic resonance imaging : JMRI2017

Dynamic contrast-enhanced MRI of the prostate: An intraindividual assessment of the effect of temporal resolution on qualitative detection and quantitative analysis of histopathologically proven prostate cancer.

Justin M Ream, Ankur M Doshi, Diane Dunst, Nainesh Parikh, Max X Kong, James S Babb, Samir S Taneja, Andrew B Rosenkrantz

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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.

Justin M ReamDepartment of Radiology, NYU Langone Medical Center, New York, New York, USA.
Ankur M DoshiDepartment of Radiology, NYU Langone Medical Center, New York, New York, USA.
Diane DunstDepartment of Radiology, NYU Langone Medical Center, New York, New York, USA.
Nainesh ParikhDepartment of Radiology, NYU Langone Medical Center, New York, New York, USA.
Max X KongDepartment of Pathology, NYU Langone Medical Center, New York, New York, USA.
James S BabbDepartment of Radiology, NYU Langone Medical Center, New York, New York, USA.
Samir S TanejaDepartment of Urology, NYU Langone Medical Center, New York, New York, USA.
Andrew B RosenkrantzDepartment of Radiology, NYU Langone Medical Center, New York, New York, USA.

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

purposeTo assess the effects of temporal resolution (R MATERIALS AND

methodsThis retrospective Institutional Review Board (IRB)-approved study included 58 men (64 ± 7 years). They underwent 3T prostate MRI showing dominant peripheral zone (PZ) tumors (24 with Gleason ≥ 4 + 3), prior to prostatectomy. Continuously acquired DCE utilizing GRASP (Golden-angle RAdial Sparse Parallel) was retrospectively reconstructed at R

resultsR

conclusionCurrent PI-RADS recommendations for R LEVEL OF EVIDENCE: 3 J. MAGN. RESON. IMAGING 2017;45:1464-1475.

Indexed as

Magnetic Resonance ImagingAdultAgedAged, 80 and overArea Under CurveContrast MediaHumansMaleMiddle AgedNeoplasm GradingProstateProstatic NeoplasmsReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityTime FactorsContrast Mediadynamic-contrast enhanced MRIprostatetumor detection

Identifiers

PMID27649481
PMCPMC5538355

What OpenQuestion holds

Textmetadata
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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.