Evidence map›Paper›PMID 35925384›Full record

ArticleEuropean radiology2023

Whole-body MRI in oncology: can a single anatomic T2 Dixon sequence replace the combination of T1 and STIR sequences to detect skeletal metastasis and myeloma?

Ophelye Chiabai, Sandy Van Nieuwenhove, Marie-Christiane Vekemans, Bertrand Tombal, Frank Peeters, Joris Wuts, Perrine Triqueneaux, Patrick Omoumi, Thomas Kirchgesner, Nicolas Michoux and 1 more

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 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

11 authors at 2 institutions in 2 countries.

Ophelye ChiabaiDepartment of Radiology and Medical Imaging, Cliniques Universitaires Saint Luc, Institut de Recherche Expérimentale & Clinique (IREC), Université Catholique de Louvain (UCLouvain), Hippocrate Avenue, 10, B-1200, Brussels, Belgium.
Sandy Van NieuwenhoveDepartment of Radiology and Medical Imaging, Cliniques Universitaires Saint Luc, Institut de Recherche Expérimentale & Clinique (IREC), Université Catholique de Louvain (UCLouvain), Hippocrate Avenue, 10, B-1200, Brussels, Belgium.
Marie-Christiane VekemansDepartment of Internal Medicine, Hematology Unit, Cliniques Universitaires Saint Luc, Institut de Recherche Expérimentale & Clinique (IREC), Université Catholique de Louvain (UCLouvain), Brussels, Belgium.
Bertrand TombalDepartment of Surgery, Urology Unit, Cliniques Universitaires Saint Luc, Institut de Recherche Expérimentale & Clinique (IREC), Université Catholique de Louvain (UCLouvain), Brussels, Belgium.
Frank PeetersDepartment of Radiology and Medical Imaging, Cliniques Universitaires Saint Luc, Institut de Recherche Expérimentale & Clinique (IREC), Université Catholique de Louvain (UCLouvain), Hippocrate Avenue, 10, B-1200, Brussels, Belgium.
Joris WutsDepartment of Radiology and Medical Imaging, Cliniques Universitaires Saint Luc, Institut de Recherche Expérimentale & Clinique (IREC), Université Catholique de Louvain (UCLouvain), Hippocrate Avenue, 10, B-1200, Brussels, Belgium.
Perrine TriqueneauxDepartment of Radiology and Medical Imaging, Cliniques Universitaires Saint Luc, Institut de Recherche Expérimentale & Clinique (IREC), Université Catholique de Louvain (UCLouvain), Hippocrate Avenue, 10, B-1200, Brussels, Belgium.
Patrick OmoumiDepartment of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
Thomas KirchgesnerDepartment of Radiology and Medical Imaging, Cliniques Universitaires Saint Luc, Institut de Recherche Expérimentale & Clinique (IREC), Université Catholique de Louvain (UCLouvain), Hippocrate Avenue, 10, B-1200, Brussels, Belgium.
Nicolas MichouxDepartment of Radiology and Medical Imaging, Cliniques Universitaires Saint Luc, Institut de Recherche Expérimentale & Clinique (IREC), Université Catholique de Louvain (UCLouvain), Hippocrate Avenue, 10, B-1200, Brussels, Belgium.
Frédéric E LecouvetDepartment of Radiology and Medical Imaging, Cliniques Universitaires Saint Luc, Institut de Recherche Expérimentale & Clinique (IREC), Université Catholique de Louvain (UCLouvain), Hippocrate Avenue, 10, B-1200, Brussels, Belgium. frederic.lecouvet@uclouvain.be.ORCID http://orcid.org/0000-0003-3568-3254
Cliniques Universitaires Saint-Luc · BEUniversity Hospital of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare the diagnostic accuracy of a single T2 Dixon sequence to the combination T1+STIR as anatomical sequences used for detecting tumoral bone marrow lesions in whole-body MRI (WB-MRI) examinations.

methodsBetween January 2019 and January 2020, seventy-two consecutive patients (55 men, 17 women, median age = 66 years) with solid (prostate, breast, neuroendocrine) cancers at high risk of metastasis or proven multiple myeloma (MM) prospectively underwent a WB-MRI examination including coronal T1, STIR, T2 Dixon and axial diffusion-weighted imaging sequences. Two radiologists independently assessed the combination of T1+STIR sequences and the fat+water reconstructions from the T2 Dixon sequence. The reference standard was established by consensus reading of WB-MRI and concurrent imaging available at baseline and at 6 months. Repeatability and reproducibility of MRI scores (presence and semi-quantitative count of lesions), image quality (SNR: signal-to-noise, CNR: contrast-to-noise, CRR: contrast-to-reference ratios), and diagnostic characteristics (Se: sensitivity, Sp: specificity, Acc: accuracy) were assessed per-skeletal region and per-patient.

resultsRepeatability and reproducibility were at least good regardless of the score, region, and protocol (0.67 ≤ AC1 ≤ 0.98). CRR was higher on T2 Dixon fat compared to T1 (p < 0.0001) and on T2 Dixon water compared to STIR (p = 0.0128). In the per-patient analysis, Acc of the T2 Dixon fat+water was higher than that of T1+STIR for the senior reader (Acc = +0.027 [+0.025; +0.029], p < 0.0001) and lower for the junior reader (Acc = -0.029 [-0.031; -0.027], p < 0.0001).

conclusionsA single T2 Dixon sequence with fat+water reconstructions offers similar reproducibility and diagnostic accuracy as the recommended combination of T1+STIR sequences and can be used for skeletal screening in oncology, allowing significant time-saving. KEY POINTS: • Replacement of the standard anatomic T1 + STIR WB-MRI protocol by a single T2 Dixon sequence drastically shortens the examination time without loss of diagnostic accuracy. • A protocol based on fat + water reconstructions from a single T2 Dixon sequence offers similar inter-reader agreement and a higher contrast-to-reference ratio for detecting lesions compared to the standard T1 + STIR protocol. • Differences in the accuracy between the two protocols are marginal (+ 3% in favor of the T2 Dixon with the senior reader; -3% against the T2 Dixon with the junior reader).

Indexed as

Multiple MyelomaAgedFemaleHumansMagnetic Resonance ImagingMaleReproducibility of ResultsWaterWhole Body ImagingWaterCancerMagnetic resonance imagingMetastasisMultiple myelomaWhole-body imaging

Identifiers

PMID35925384
PMCPMC9755082
OpenAlexW4289839812

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Registered trials

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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.