Evidence map›Paper›PMID 30477587›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2018

Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings.

Sophie van Baalen, Martijn Froeling, Marino Asselman, Caroline Klazen, Claire Jeltes, Lotte van Dijk, Bart Vroling, Pieter Dik, Bennie Ten Haken

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

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

9 authors at 4 institutions in 2 countries.

Sophie van BaalenMagnetic Detection & Imaging, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, Netherlands. s.j.vanbaalen@utwente.nl.ORCID http://orcid.org/0000-0002-1592-3276
Martijn FroelingRadiology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, Netherlands.
Marino AsselmanUrology, Medisch Spectrum Twente, Koningsplein 1, 7512 KZ, Enschede, Netherlands.
Caroline KlazenRadiology, Medisch Spectrum Twente, Koningsplein 1, 7512 KZ, Enschede, Netherlands.
Claire JeltesMagnetic Detection & Imaging, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, Netherlands.
Lotte van DijkMagnetic Detection & Imaging, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, Netherlands.
Bart VrolingMagnetic Detection & Imaging, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, Netherlands.
Pieter DikPediatric Urology, Wilhemina Children's Hospital, Lundlaan 6, 3584 EA, Utrecht, Netherlands.
Bennie Ten HakenMagnetic Detection & Imaging, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, Netherlands.
University of Twente · NLMedisch Spectrum Twente · NLHeidelberg University · DEWilhelmina Children's Hospital · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare diffusion tensor imaging (DTI), intravoxel incoherent motion (IVIM), and tri-exponential models of the diffusion magnetic resonance imaging (MRI) signal for the characterization of renal lesions in relationship to histopathological findings.

methodsSixteen patients planned to undergo nephrectomy for kidney tumour were scanned before surgery at 3 T magnetic resonance imaging (MRI), with T

resultsThirteen solid lesions (nine clear cell carcinomas, two papillary renal cell carcinoma, one haemangioma and one oncocytoma) and four cysts were included. The mean MD of solid lesions are significantly (p < 0.05) lower than healthy cortex and medulla, (1.94 ± 0.32*10

conclusionParameters derived from a two- or three-component fit of the diffusion signal are sensitive to histopathological features of kidney lesions.

Indexed as

AgedDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansKidney NeoplasmsMaleMiddle AgedReproducibility of ResultsDiffusion magnetic resonance imagingDiffusion tensor imagingKidney neoplasmsMagnetic resonance imaging

Identifiers

PMID30477587
PMCPMC6260899
OpenAlexW2902962984

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.