Evidence map›Paper›PMID 38992707›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2024

DCE-MRI to distinguish all monoclonal plasma cell disease stages and correlation with diffusion-weighted MRI/PET-based biomarkers in a hybrid simultaneous whole body-2-[18F]FDG-PET/MRI imaging approach.

Bastien Jamet, Hatem Necib, Thomas Carlier, Eric Frampas, Juliette Bazin, Paul-Henri Desfontis, Aurélien Monnet, Caroline Bodet-Milin, Philippe Moreau, Cyrille Touzeau and 1 more

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

11 authors.

Bastien JametNantes Université, Univ Angers, CHU Nantes, INSERM, CNRS, CRCI2NA, Médecine Nucléaire, F-44000, Nantes, France. bastien.jamet@chu-nantes.fr.ORCID http://orcid.org/0000-0002-2145-9182
Hatem NecibNantes Université, Univ Angers, CHU Nantes, INSERM, CNRS, CRCI2NA, Médecine Nucléaire, F-44000, Nantes, France.
Thomas CarlierNantes Université, Univ Angers, CHU Nantes, INSERM, CNRS, CRCI2NA, Médecine Nucléaire, F-44000, Nantes, France.
Eric FrampasNantes Université, Univ Angers, CHU Nantes, INSERM, CNRS, CRCI2NA, Radiologie, F-44000, Nantes, France.
Juliette BazinNantes Université, Univ Angers, CHU Nantes, INSERM, CNRS, CRCI2NA, Radiologie, F-44000, Nantes, France.
Paul-Henri DesfontisNantes Université, Univ Angers, CHU Nantes, INSERM, CNRS, CRCI2NA, Radiologie, F-44000, Nantes, France.
Aurélien Monnet, Siemens, France.
Caroline Bodet-MilinNantes Université, Univ Angers, CHU Nantes, INSERM, CNRS, CRCI2NA, Médecine Nucléaire, F-44000, Nantes, France.
Philippe MoreauNantes Université, Univ Angers, CHU Nantes, INSERM, CNRS, CRCI2NA, Hématologie, F-44000, Nantes, France.
Cyrille TouzeauNantes Université, Univ Angers, CHU Nantes, INSERM, CNRS, CRCI2NA, Hématologie, F-44000, Nantes, France.
Francoise Kraeber-BodereNantes Université, Univ Angers, CHU Nantes, INSERM, CNRS, CRCI2NA, Médecine Nucléaire, F-44000, Nantes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDynamic contrast-enhanced-MRI (DCE-MRI) is able to study bone marrow angiogenesis in patients with multiple myeloma (MM) and asymptomatic precursor diseases but its role in the management of MM has not yet been established. The aims of this prospective study was to compare DCE-MRI-based parameters between all monoclonal plasma cell disease stages in order to find out discriminatory parameters and to seek correlations with other diffusion-weighted MRI and positron emission tomography (PET)-based biomarkers in a hybrid simultaneous whole-body-2-[18F]fluorodeoxyglucose (FDG)-PET/MRI (WB-2-[18F]FDG-PET/MRI) imaging approach.

methodsPatients with newly diagnosed Monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM) or symptomatic MM according to international myeloma working group and underwent WB-2-[18F]FDG-PET/MRI imaging including bone marrow DCE sequences at the Nantes University Hospital were prospectively enrolled in this study before receiving treatment.

resultsOne hundred and sixty-seven patients (N = 167, mean age: 64 years ± 11 [Standard deviation], 66 males) were considered for the analysis. DCE-MRI-based Peak Enhancement Intensity (PEI), Time to PEI (TPEI) and their maximum intensity time ratio (MITR: PEI/TPEI) values were significantly different between the different monoclonal plasma cell disease stages, PEI values increasing and TPEI values decreasing progressively along the spectrum of plasma cell disorders, from MGUS stage to symptomatic multiple myeloma. PEI values were significantly higher in patients with diffuse bone marrow involvement (either in PET or in MRI images) than in those without diffuse bone marrow involvement, unlike TPEI values. PEI and TPEI values were not significantly different between patients with or without focal bone lesions.

conclusionDifferent DCE-MRI-based parameters (PEI, TPEI, MITR) could significantly differentiate all monoclonal plasma cell disease stages and complemented conventional MRI and PET-based biomarkers.

Indexed as

Diffusion Magnetic Resonance ImagingFluorodeoxyglucose F18Multiple MyelomaPositron-Emission TomographyAgedAged, 80 and overBone MarrowContrast MediaFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMonoclonal Gammopathy of Undetermined SignificanceMultimodal ImagingProspective StudiesContrast MediaFluorodeoxyglucose F18RadiopharmaceuticalsMultiparametric magnetic resonance imagingMultiple myelomaPlasma cell dyscrasiasPositron-emission tomography imaging

Identifiers

PMID38992707
PMCPMC11241781

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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.