Evidence map›Paper›PMID 35799055›Full record

ArticleScientific reports2022

Comparison study of reconstruction algorithms for volumetric necrosis maps from 2D multi-slice GRE thermometry images.

Julian Alpers, Bennet Hensen, Maximilian Rötzer, Daniel L Reimert, Thomas Gerlach, Ralf Vick, Marcel Gutberlet, Frank Wacker, Christian Hansen

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Julian Alpers *Faculty of Computer Science, Otto-von-Guericke University, 39106, Magdeburg, Germany. julian.alpers@ovgu.de.
Bennet Hensen *Institute for Diagnostic and Interventional Radiology, Hannover Medical School, 30625, Hannover, Germany.
Maximilian RötzerFaculty of Computer Science, Otto-von-Guericke University, 39106, Magdeburg, Germany.
Daniel L ReimertInstitute for Diagnostic and Interventional Radiology, Hannover Medical School, 30625, Hannover, Germany.
Thomas GerlachFaculty of Electrical Engineering and Information Technologies, Otto-von-Guericke University, 39106, Magdeburg, Germany.
Ralf VickFaculty of Electrical Engineering and Information Technologies, Otto-von-Guericke University, 39106, Magdeburg, Germany.
Marcel GutberletInstitute for Diagnostic and Interventional Radiology, Hannover Medical School, 30625, Hannover, Germany.
Frank WackerInstitute for Diagnostic and Interventional Radiology, Hannover Medical School, 30625, Hannover, Germany.
Christian HansenFaculty of Computer Science, Otto-von-Guericke University, 39106, Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a disease which requires a significant amount of careful medical attention. For minimally-invasive thermal ablation procedures, the monitoring of heat distribution is one of the biggest challenges. In this work, three approaches for volumetric heat map reconstruction (Delauney triangulation, minimum volume enclosing ellipsoids (MVEE) and splines) are presented based on uniformly distributed 2D MRI phase images rotated around the applicator's main axis. We compare them with our previous temperature interpolation method with respect to accuracy, robustness and adaptability. All approaches are evaluated during MWA treatment on the same data sets consisting of 13 ex vivo bio protein phantoms, including six phantoms with simulated heat sink effects. Regarding accuracy, the DSC similarity results show a strong trend towards the MVEE ([Formula: see text]) and the splines ([Formula: see text]) method compared to the Delauney triangulation ([Formula: see text]) or the temperature interpolation ([Formula: see text]). Robustness is increased for all three approaches and the adaptability shows a significant trend towards the initial interpolation method and the splines. To overcome local inhomogeneities in the acquired data, the use of adaptive simulations should be considered in the future. In addition, the transfer to in vivo animal experiments should be considered to test for clinical applicability.

Indexed as

Soft Tissue InjuriesThermometryAlgorithmsAnimalsMagnetic Resonance ImagingNecrosisPhantoms, Imaging

Identifiers

PMID35799055
PMCPMC9263155

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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.