Evidence map›Paper›PMID 30294681›Full record

ReviewClinical and translational radiation oncology2018

Potentials and challenges of diffusion-weighted magnetic resonance imaging in radiotherapy.

Sara Leibfarth, René M Winter, Heidi Lyng, Daniel Zips, Daniela Thorwarth

Open access · goldAbstract readReview
In one paragraph

Review in Clinical and translational radiation oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 64 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

5 authors at 2 institutions in 2 countries.

Sara LeibfarthSection for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Germany.
René M WinterSection for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Germany.
Heidi LyngDepartment of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Norway.
Daniel ZipsDepartment of Radiation Oncology, University Hospital Tübingen, Germany.
Daniela ThorwarthSection for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Germany.
Oslo University Hospital · NOUniversity Children's Hospital Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo review the potential and challenges of integrating diffusion weighted magnetic resonance imaging (DWI) into radiotherapy (RT). CONTENT: Details related to image acquisition of DWI for RT purposes are discussed, along with the challenges with respect to geometric accuracy and the robustness of quantitative parameter extraction. An overview of diffusion- and perfusion-related parameters derived from mono- and bi-exponential models is provided, and their role as potential RT biomarkers is discussed. Recent studies demonstrating potential of DWI in different tumor sites such as the head and neck, rectum, cervix, prostate, and brain, are reviewed in detail.

conclusionDWI has shown promise for RT outcome prediction, response assessment, as well as for tumor delineation and characterization in several cancer types. Geometric and quantification robustness is challenging and has to be addressed adequately. Evaluation in larger clinical trials with well designed imaging protocol and advanced analysis models is needed to develop the optimal strategy for integrating DWI in RT.

Identifiers

PMID30294681
PMCPMC6169338
OpenAlexW2892041318

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.