Evidence map›Paper›PMID 22544292›Full record

Trial reportEuropean radiology2012

Diagnostic performance of whole-body MRI for the detection of persistent or relapsing disease in multiple myeloma after stem cell transplantation.

Peter Bannas, Hannah B Hentschel, Thorsten A Bley, András Treszl, Christine Eulenburg, Thorsten Derlin, Jin Yamamura, Gerhard Adam, Thomas Stübig, Nicolaus Kröger and 1 more

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01780766 (Whole Body MRI Imaging in Multiple Myeloma at 3 Tesla MRI), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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.

NCT01780766 unknown statusnot on this map

Whole Body MRI Imaging in Multiple Myeloma at 3 Tesla MRI: What is the Added Value of Diffusion Weighted Imaging in Diagnosis and Follow-up

TypeobservationalSponsorUniversitaire Ziekenhuizen KU LeuvenRan2008 to 2014Enrolled100ConditionsMultiple Myeloma
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Prospective Evaluation of Magnetic Resonance Imaging and [Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2017
    Trial
  3. Article
  4. Review
  5. Article
  6. CD38-specific nanobodies allowFrontiers in immunology · 2022
    Article
  7. Minimal residual disease in multiple myeloma: are we there yet?International journal of hematologic oncology · 2020
    Article
  8. Review
  9. Role of whole-body MRI for treatment response assessment in multiple myeloma: comparison between clinical response and imaging response.Cancer imaging : the official publication of the International Cancer Imaging Society · 2020
    Article
  10. Article
  11. Article
  12. Clinical relevance of PET/CT in patients with newly diagnosed multiple myeloma.International journal of clinical and experimental pathology · 2019
    Article
  13. Whole Body MRI and oncology: recent major advances.The British journal of radiology · 2018
    Review
  14. Review
  15. Article
  16. Non-Secretory Myeloma: Ready for a new Definition?Mediterranean journal of hematology and infectious diseases · 2017
    Review
  17. Review
  18. Review
  19. Risk Stratification in Multiple Myeloma.Current hematologic malignancy reports · 2016
    Review
  20. Article
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 1 country.

Peter BannasDepartment of Diagnostic and Interventional Radiology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany. p.bannas@uke.de
Hannah B Hentschel
Thorsten A Bley
András Treszl
Christine Eulenburg
Thorsten Derlin
Jin Yamamura
Gerhard Adam
Thomas Stübig
Nicolaus Kröger
Christoph Weber
Universität Hamburg · DEUniversity Medical Center Hamburg-Eppendorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare the diagnostic performance of whole-body MRI (WBMRI) with haematological parameters for detecting persistent or relapsing disease in patients with multiple myeloma after stem cell transplantation.

methodsSixty-six WBMRI acquisitions were performed in 33 patients with multiple myeloma at two time points after stem cell transplantation. Extent of disease and inter-test dynamics of intra- and extramedullary myeloma manifestations were compared (kappa statistics) with Uniform Response Criteria, comprising haematological parameters.

resultsUsing data from 66 sequential WBMRI acquisitions in 33 patients, 10 patients (30.3 %) were classified as having progressive disease and 23 (69.7 %) as being in remission. Eight (80 %) of the ten patients with progressive disease revealed intramedullary lesions, and two patients (20 %) had intra- and extramedullary lesions. WBMRI and laboratory tests were concordant in 26/33 (78.8 %) patients. We found an agreement of 51.2 %, 95 % confidence interval 19.8 %-82.6 %, between results from WBMRI and haematological parameters. WBMRI had a sensitivity of 63.6 %, specificity of 86.4 %, PPV of 70.0 %, NPV of 82.6 % and accuracy of 78.8 % for detection of remission.

conclusionsWBMRI allows the detection and exact localisation of intra- and extramedullary myeloma manifestations after stem cell transplantation, but shows only moderate agreement with routinely performed laboratory tests for determination of remission.

Indexed as

Stem Cell TransplantationAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple MyelomaNeoplasm Recurrence, LocalTreatment OutcomeWhole Body Imaging

Identifiers

PMID22544292
OpenAlexW2030093327

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.