Evidence map›Paper›PMID 39085535›Full record

ArticleMolecular imaging and biology2024

The Predictive Role of Metabolic Volume Segmentation Compared to Semiquantitative PET Parameters in Diagnosis of LVAD Infection using [

Emil Novruzov, Mardjan Dabir, Dominik Schmitt, Katalin Mattes-György, Markus Beu, Yuriko Mori, Christina Antke, Sebastian Reinartz, Artur Lichtenberg, Gerald Antoch and 3 more

Abstract readComparative Study
In one paragraph

Article in Molecular imaging and biology, 2024. 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

13 authors.

Emil NovruzovDepartment of Nuclear Medicine, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany. emil.novruzov@med.uni-duesseldorf.de.ORCID 0000-0003-1914-1332
Mardjan DabirDepartment of Nuclear Medicine, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Dominik SchmittDepartment of Nuclear Medicine, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Katalin Mattes-GyörgyDepartment of Nuclear Medicine, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Markus BeuDepartment of Nuclear Medicine, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Yuriko MoriDepartment of Nuclear Medicine, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Christina AntkeDepartment of Nuclear Medicine, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Sebastian ReinartzDepartment of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Artur LichtenbergDepartment of Cardiac Surgery, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Gerald AntochDepartment of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Frederik L GieselDepartment of Nuclear Medicine, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Hug Aubin *Department of Cardiac Surgery, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.
Eduards Mamlins *Department of Nuclear Medicine, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine-University Duesseldorf, 40225, Düsseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLeft ventricular assisting device (LVAD) is a vital mechanical circulatory assist device for patients with end-stage heart disease, serving as either a bridge to transplantation or palliative destination therapy. Yet device infection represents a major lethal complication, warranting a multi-step, complex therapy approach including an urgent device exchange or heart transplantation. Still, timely diagnosis of site and extent of VAD-specific infection for a proper therapy planning poses challenges in regular clinical care. This single-center, retrospective study aimed to evaluate the impact of volumetric PET parameters with different thresholding compared to semiquantitative PET parameters for accurate diagnosis of VAD-specific infection. PROCEDURES: Seventeen patients (1 female, 16 males; mean age 57 ± 11 years) underwent [

resultsNine of eleven patients with VAD-specific infection underwent urgent heart transplantation, and one had a surgical revision of LVAD. Two patients had non-VAD specific infections, and two had non-VAD related infections. Metabolic burden determination using a fixed absolute threshold provided the best outcome compared to relative thresholding or other metabolic SUV parameters. The total metabolic tumor volume (MTV) cutoff value was 9.3 cm

conclusionsVolumetric PET parameters with fixed absolute thresholding appear to be a valuable auxiliary tool in the evaluation of [

Indexed as

Fluorodeoxyglucose F18Heart-Assist DevicesPositron-Emission TomographyAdultAgedFemaleHumansInfectionsMaleMiddle AgedProsthesis-Related InfectionsRetrospective StudiesFluorodeoxyglucose F18FDG PETFixed absolute thresholdLVADMetabolic burdenMetabolic parameterVAD-specific infection

Identifiers

PMID39085535
PMCPMC11436428

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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.