Evidence map›Paper›PMID 29110241›Full record

ArticleMagma (New York, N.Y.)2018

Relative enhanced diffusivity: noise sensitivity, protocol optimization, and the relation to intravoxel incoherent motion.

Peter T While, Jose R Teruel, Igor Vidić, Tone F Bathen, Pål Erik Goa

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Article in Magma (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Perfusion-driven Intravoxel Incoherent Motion (IVIM) MRI in Oncology: Applications, Challenges, and Future Trends.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2021
    Review
  4. Article
  5. Article
  6. Article
  7. 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

5 authors.

Peter T WhileDepartment of Radiology and Nuclear Medicine, St. Olav's University Hospital, Trondheim, Norway. Peter.Thomas.While@stolav.no.
Jose R TeruelDepartment of Radiation Oncology, New York University Langone Health, New York, NY, USA.
Igor VidićDepartment of Physics, Norwegian University of Science and Technology-NTNU, Trondheim, Norway.
Tone F BathenDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology-NTNU, Trondheim, Norway.
Pål Erik GoaDepartment of Radiology and Nuclear Medicine, St. Olav's University Hospital, Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the relationship between relative enhanced diffusivity (RED) and intravoxel incoherent motion (IVIM), as well as the impact of noise and the choice of intermediate diffusion weighting (b value) on the RED parameter. MATERIALS AND

methodsA mathematical derivation was performed to cast RED in terms of the IVIM parameters. Noise analysis and b value optimization was conducted by using Monte Carlo calculations to generate diffusion-weighted imaging data appropriate to breast and liver tissue at three different signal-to-noise ratios.

resultsRED was shown to be approximately linearly proportional to the IVIM parameter f, inversely proportional to D and to follow an inverse exponential decay with respect to D*. The choice of intermediate b value was shown to be important in minimizing the impact of noise on RED and in maximizing its discriminatory power. RED was shown to be essentially a reparameterization of the IVIM estimates for f and D obtained with three b values.

conclusionRED imaging in the breast and liver should be performed with intermediate b values of 100 and 50 s/mm

Indexed as

Diffusion Magnetic Resonance ImagingAlgorithmsBreastComputer SimulationFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedLiverModels, StatisticalMonte Carlo MethodMotionNeoplasmsReproducibility of ResultsSensitivity and SpecificitySignal-To-Noise RatioCancer screeningDiffusion-weighted MRIMonte Carlo methodSignal-to-noise ratio

Identifiers

PMID29110241

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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.