Evidence map›Paper›PMID 34842956›Full record

ArticleEuropean radiology2022

Optimization of whole-body 2-[

Robert Burns, Sébastien Mulé, Paul Blanc-Durand, Mojdeh Tofighi, Karim Belhadj, Pierre Zerbib, Fabien Le Bras, Laurence Baranes, Corinne Haioun, Emmanuel Itti and 1 more

Abstract read
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In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. EANM guidelines on the use of [European journal of nuclear medicine and molecular imaging · 2024
    Guideline
  2. Review
  3. An innovative hybrid imaging protocol for whole-bodyCardio-oncology (London, England) · 2025
    Article
  4. Review
  5. International EANM-SNMMI-ISMRM consensus recommendation for PET/MRI in oncology.European journal of nuclear medicine and molecular imaging · 2023
    Article
  6. New Developments in Myeloma Treatment and Response Assessment.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
  7. Article
  8. Article
  9. Progress of modern imaging modalities in multiple myeloma.International journal of hematology · 2022
    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

11 authors at 3 institutions in 1 country.

Robert BurnsSyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010, Créteil, France. robert.burns@outlook.fr.ORCID http://orcid.org/0000-0002-9802-8583
Sébastien MuléSyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010, Créteil, France.
Paul Blanc-DurandSyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010, Créteil, France.
Mojdeh TofighiSyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010, Créteil, France.
Karim BelhadjHematology Department, University Hospital, Creteil, France.
Pierre ZerbibSyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010, Créteil, France.
Fabien Le BrasHematology Department, University Hospital, Creteil, France.
Laurence BaranesSyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010, Créteil, France.
Corinne HaiounUniversité Paris-Est Créteil, 94010, Créteil, France.
Emmanuel IttiSyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010, Créteil, France.
Alain LucianiSyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010, Créteil, France.
Université Paris-Est Créteil · FRAssistance Publique – Hôpitaux de Paris · FRCentre Hospitalier Universitaire Henri-Mondor · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the optimal 2-[

methodsRadiologists and nuclear medicine specialists reviewed all PET/MRI exams of 104 patients with a monoclonal gammopathy (MG). The presence of focal and diffuse bone marrow involvement (BMI) was assessed using 4 different image datasets: WB-MRI, PET, WB-PET/MRI, and WB-DCE-PET/MRI. A reference standard was established by a panel review of all baseline and follow-up imaging, and biological and pathological information. The diagnostic performance for each image dataset to detect BMI was evaluated and compared (Fisher's exact test).

resultsSensitivity, specificity, and accuracy for focal BMI of WB-MRI was 87%, 97%, and 92%; of PET was 78%, 97%, and 95%; of WB-PET/MRI was 93%, 97%, and 95%; and of WB-DCE-PET/MRI was 93%, 97%, and 95%, respectively. WB-PET/MRI and WB-DCE-PET/MRI were statistically superior to PET (p = 0.036) without decreasing specificity. The sensitivity, specificity, and accuracy of WB-MRI for diffuse BMI detection was 91%, 80%, and 85%; of 3DT1-PET was 53%, 89%, and 74%; of WB-PET/MRI was 98%, 66%, and 79%; and of WB-DCE-PET/MRI was 98%, 59%, and 75%, respectively. PET lacked sensitivity compared to all other dataset studies (p < 0.0001). WB-MRI had the best accuracy without reaching statistical significance when compared to the other datasets.

conclusionThe WB-PET/MRI dataset including T1 and T2 Dixon, WB-DWI, and PET images provides optimal diagnostic performance to detect both focal lesions and diffuse BMI, with limited added value of WB-DCE for baseline staging of patients with MG. Key Points • The combination of morphological and functional MRI sequences and metabolic (2-[

Indexed as

Fluorodeoxyglucose F18Multiple MyelomaDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingNeoplasm StagingPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsWhole Body ImagingFluorodeoxyglucose F18RadiopharmaceuticalsDiffusion magnetic resonance imagingMultimodal imagingMultiple myelomaPositron-emission tomography

Identifiers

PMID34842956
OpenAlexW3216826641

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.