Evidence map›Paper›PMID 37122998›Full record

ArticleFrontiers in bioinformatics2023

A proof-of-concept pipeline to guide evaluation of tumor tissue perfusion by dynamic contrast-agent imaging: Direct simulation and inverse tracer-kinetic procedures.

Irene E Vignon-Clementel, Nick Jagiella, Jules Dichamp, Jérôme Kowalski, Wiltrud Lederle, Hendrik Laue, Fabian Kiessling, Oliver Sedlaczek, Dirk Drasdo

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In one paragraph

Article in Frontiers in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Irene E Vignon-ClementelInria, Palaiseau, France.
Nick JagiellaInria, Palaiseau, France.
Jules DichampInria, Palaiseau, France.
Jérôme KowalskiInria, Palaiseau, France.
Wiltrud LederleInstitute for Experimental Molecular Imaging (ExMI), University Clinic and Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany.
Hendrik LaueFraunhofer MEVIS, Institute for Digital Medicine, Bremen, Germany.
Fabian KiesslingInstitute for Experimental Molecular Imaging (ExMI), University Clinic and Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany.
Oliver SedlaczekDepartment of NCT Radiology Uniklinikum/DKFZ Heidelberg, Heidelberg, Germany.
Dirk DrasdoInria, Palaiseau, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic contrast-enhanced (DCE) perfusion imaging has shown great potential to non-invasively assess cancer development and its treatment by their characteristic tissue signatures. Different tracer kinetics models are being applied to estimate tissue and tumor perfusion parameters from DCE perfusion imaging. The goal of this work is to provide an

Indexed as

dynamic contrast-enhanced imagingin silico imagingmicrocirculationparameter estimationtracer-kinetics modelstumor perfusion

Identifiers

PMID37122998
PMCPMC10135870

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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.