Evidence map›Paper›PMID 26801187›Full record

ReviewDer Radiologe2016

[Selected clinically established and scientific techniques of diffusion-weighted MRI. In the context of imaging in oncology].

M T Freitag, S Bickelhaupt, C Ziener, K Meier-Hein, J P Radtke, J Mosebach, T-A Kuder, H-P Schlemmer, F B Laun

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Radiologe, 2016. 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
2.3field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

M T FreitagAbteilung für Radiologie, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland. m.freitag@dkfz.de.
S BickelhauptAbteilung für Radiologie, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland.
C ZienerAbteilung für Radiologie, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland.
K Meier-HeinAbteilung für medizinische Informatik, Deutsches Krebsforschungszentrum, Heidelberg, Deutschland.
J P RadtkeAbteilung für Radiologie, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland.
J MosebachAbteilung für Radiologie, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland.
T-A KuderAbteilung für Medizinische Physik in der Radiologie, Deutsches Krebsforschungszentrum, Heidelberg, Deutschland.
H-P SchlemmerAbteilung für Radiologie, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland.
F B LaunAbteilung für Medizinische Physik in der Radiologie, Deutsches Krebsforschungszentrum, Heidelberg, Deutschland.
DKFZ-ZMBH Alliance · DEGerman Cancer Research Center · DEChirurgische Universitätsklinik Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiffusion-weighted imaging (DWI) is a magnetic resonance imaging (MRI) technique that was established in the clinical routine primarily for the detection of brain ischemia. In the past 15 years its clinical use has been extended to oncological radiology, as tumor and metastases can be depicted in DWI due to their hypercellular nature. PRINCIPLES: The basis of DWI is the Stejskal-Tanner experiment. The diffusion properties of tissue can be visualized after acquisition of at least two diffusion-weighted series using echo planar imaging and a specific sequence of gradient pulses. CLINICAL APPLICATIONS: The use of DWI in prostate MRI was reported to be one of the first established applications that found its way into internationally recognized clinical guidelines of the European Society of Urological Radiology (ESUR) and the prostate imaging reporting and data system (PI-RADS) scale. Due to recently reported high specificity and negative predictive values of 94% and 92%, respectively, its regular use for breast MRI is expected in the near future. Furthermore, DWI can also reliably be used for whole-body imaging in patients with multiple myeloma or for measuring the extent of bone metastases. OUTLOOK: New techniques in DWI, such as intravoxel incoherent motion imaging, diffusion kurtosis imaging and histogram-based analyses represent promising approaches to achieve a more quantitative evaluation for tumor detection and therapy response.

Indexed as

Diffusion Magnetic Resonance ImagingHumansImage EnhancementImage Interpretation, Computer-AssistedNeoplasmsWhole Body ImagingApparent diffusion coefficientDiffusion weighted ImagingIntravoxel incoherent motionKurtosisOncology

Identifiers

PMID26801187
OpenAlexW2281269731

What OpenQuestion holds

Textmetadata
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.