Evidence map›Paper›PMID 31844960›Full record

ArticleEuropean radiology2020

MRI versus

Frédéric E Lecouvet, Dimitar Boyadzhiev, Laurence Collette, Maude Berckmans, Nicolas Michoux, Perrine Triqueneaux, Vassiliki Pasoglou, François Jamar, Marie-Christiane Vekemans

2 registry-linked trialsAbstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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.

NCT06988007 nanot yet recruitingnot on this mapstarted 2027, after this paper: background citation

Bone Arches: Performance of Pseudo-scanner Sequences in Segmenting the Extent of the Tumour and in Planning Surgical Resection Using the CT Scan as a Reference

TypeinterventionalSponsorCliniques universitaires Saint-Luc- Université Catholique de LouvainRan2027 to 2027Enrolled122ConditionsSarcomaArmsWhole body MRI
NCT06988020 narecruitingnot on this mapstarted 2025, after this paper: background citation

Evaluation of Optimised Whole-body MRI Examinations Incorporating "Pseudo-scanner" Sequences (ZTE, "Zero Echo Time" AND Lava Flex) for the Detection of Bone Lesions in Multiple Myeloma

TypeinterventionalSponsorCliniques universitaires Saint-Luc- Université Catholique de LouvainRan2025 to 2027Enrolled45ConditionsMultiple Myeloma Bone DiseaseArmsMRI
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Prognostic value ofEuropean radiology · 2021
    Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Advanced Imaging in Multiple Myeloma: New Frontiers for MRI.Diagnostics (Basel, Switzerland) · 2022
    Review
  11. Optimization of whole-body 2-[European radiology · 2022
    Article
  12. Review
  13. Review
  14. The Diagnostic Value ofContrast media & molecular imaging · 2022
    Article
  15. Article
  16. Observational
  17. Article
  18. Diagnostic performance ofBritish journal of haematology · 2021
    Article
  19. Article
  20. Frontiers in nuclear medicine · 2021
    Review
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 at 2 institutions in 1 country.

Frédéric E LecouvetDepartment of Radiology, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint Luc, Université Catholique de Louvain (UCLouvain), Avenue Hippocrate, 10/2942, B-1200, Brussels, Belgium. frederic.lecouvet@uclouvain.be.ORCID http://orcid.org/0000-0003-3568-3254
Dimitar BoyadzhievDepartment of Radiology, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint Luc, Université Catholique de Louvain (UCLouvain), Avenue Hippocrate, 10/2942, B-1200, Brussels, Belgium.
Laurence ColletteEORTC, Statistic Unit, EORTC Headquarters, Brussels, Belgium.
Maude BerckmansDepartment of Nuclear Medicine, IREC, Cliniques Universitaires Saint Luc, UCLouvain, Brussels, Belgium.
Nicolas MichouxDepartment of Radiology, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint Luc, Université Catholique de Louvain (UCLouvain), Avenue Hippocrate, 10/2942, B-1200, Brussels, Belgium.
Perrine TriqueneauxDepartment of Radiology, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint Luc, Université Catholique de Louvain (UCLouvain), Avenue Hippocrate, 10/2942, B-1200, Brussels, Belgium.
Vassiliki PasoglouDepartment of Radiology, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint Luc, Université Catholique de Louvain (UCLouvain), Avenue Hippocrate, 10/2942, B-1200, Brussels, Belgium.
François JamarDepartment of Nuclear Medicine, IREC, Cliniques Universitaires Saint Luc, UCLouvain, Brussels, Belgium.
Marie-Christiane VekemansDepartment of Haematology, IREC, Cliniques Universitaires Saint Luc, UCLouvain, Brussels, Belgium.
Cliniques Universitaires Saint-Luc · BEEuropean Organisation for Research and Treatment of Cancer · BE

Funding

Fondation Saint Luc NAFonds de recherche clinique NAStichting Tegen Kanker NA
6 · The paper itself

Abstract

purposeTo compare the diagnostic performance of MRI and MATERIALS AND

methodsThis retrospective study was approved by our Institutional Review Board. Two radiologists and two nuclear medicine specialists independently and blindly reviewed 84 pairs of MRI and PET/CT scans obtained in 73 MM patients. Readers assessed the presence and patterns of BMI. The best valuable comparator (BVC) for BMI was established by a panel review of all baseline and follow-up imaging, and biological and pathological information. Intra- and inter-reader agreement and correlation between MRI and PET/CT were assessed using the prevalence-adjusted bias-adjusted kappa (k) coefficient. Diagnostic performance of MRI and PET/CT in detecting BMI was evaluated from ROC characteristics. Association between imaging and biological, pathological, and clinical findings was assessed using Wilcoxon rank-sum and chi-square tests.

resultsIntra- and inter-reader agreement was very good for MRI (k = 0.90 [0.81; 1.00] and 0.88 [0.78; 0.98]). Intra- and inter-reader agreement was good for PET/CT (k = 0.80 [0.69; 0.91] and 0.71 [0.56; 0.86]). The sensitivity of MRI to detect BMI (97% [90%; 100%]) was significantly superior to that of PET/CT (76% [64%; 85%]) (p < 0.001). The specificity of MRI (86% [57%; 98%]) was lower than that of PET/CT (93% [66%; 100%]), without reaching statistical significance (p = 0.32). There was a strong correlation between decisions regarding patient management and PET/CT findings (p < 0.001).

conclusionMRI is significantly more sensitive than PET/CT to detect BMI in MM. Patient management is more strongly correlated with PET/CT findings. KEY POINTS: • MRI and PET/CT have very close diagnostic value for the detection of bone marrow involvement in multiple myeloma. • MRI has a significantly higher sensitivity and better reproducibility. • PET/CT findings appear to have a higher impact on clinical decisions.

Indexed as

AdultAgedAged, 80 and overBone MarrowBone NeoplasmsFemaleFluorodeoxyglucose F18HumansMagnetic Resonance ImagingMaleMiddle AgedMultiple MyelomaPositron Emission Tomography Computed TomographyRadiopharmaceuticalsReproducibility of ResultsRetrospective StudiesFluorodeoxyglucose F18RadiopharmaceuticalsBone marrowMagnetic resonance imagingMultiple myelomaNeoplasmsPositron-emission tomography

Identifiers

PMID31844960
OpenAlexW2996738172

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.