Evidence map›Paper›PMID 26550538›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2015

Comparison of (18)F-FDG PET/CT and PET/MRI in patients with multiple myeloma.

Christos Sachpekidis, Jens Hillengass, Hartmut Goldschmidt, Jennifer Mosebach, Leyun Pan, Heinz-Peter Schlemmer, Uwe Haberkorn, Antonia Dimitrakopoulou-Strauss

Abstract read
In one paragraph

Article in American journal of nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Feasibility of [Diagnostics (Basel, Switzerland) · 2025
    Article
  2. Review
  3. Imaging of Multiple Myeloma: Present and Future.Journal of clinical medicine · 2024
    Review
  4. Advanced Imaging in Multiple Myeloma: New Frontiers for MRI.Diagnostics (Basel, Switzerland) · 2022
    Review
  5. Review
  6. Comparison of [Diagnostics (Basel, Switzerland) · 2021
    Review
  7. Frontiers in nuclear medicine · 2021
    Review
  8. Review
  9. Improving MR sequence of 18F-FDG PET/MR for diagnosing and staging gastric Cancer: a comparison study toCancer imaging : the official publication of the International Cancer Imaging Society · 2020
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Diagnostic performance ofJapanese journal of radiology · 2018
    Article
  15. Advanced Imaging of Multiple Myeloma Bone Disease.Frontiers in endocrinology · 2018
    Review
  16. PET/MRI: Where might it replace PET/CT?Journal of magnetic resonance imaging : JMRI · 2017
    Review
  17. The Critical Role of Imaging in the Management of Multiple Myeloma.Current hematologic malignancy reports · 2017
    Review
  18. Review
  19. Nuclear medicine imaging of multiple myeloma, particularly in the relapsed setting.European journal of nuclear medicine and molecular imaging · 2017
    Review
  20. Treatment response evaluation withEuropean journal of nuclear medicine and molecular imaging · 2017
    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

8 authors.

Christos SachpekidisClinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ) Heidelberg, Germany.
Jens HillengassDepartment of Hematology and Oncology, University Hospital of Heidelberg Heidelberg, Germany.
Hartmut GoldschmidtDepartment of Hematology and Oncology, University Hospital of Heidelberg Heidelberg, Germany.
Jennifer MosebachDepartment of Radiology, German Cancer Research Center (DKFZ) Heidelberg, Germany.
Leyun PanClinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ) Heidelberg, Germany.
Heinz-Peter SchlemmerDepartment of Radiology, German Cancer Research Center (DKFZ) Heidelberg, Germany.
Uwe HaberkornDivision of Nuclear Medicine, University Clinic Heidelberg Heidelberg, Germany.
Antonia Dimitrakopoulou-StraussClinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ) Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PET/MRI represents a promising hybrid imaging modality with several potential clinical applications. Although PET/MRI seems highly attractive in the diagnostic approach of multiple myeloma (MM), its role has not yet been evaluated. The aims of this prospective study are to evaluate the feasibility of (18)F-FDG PET/MRI in detection of MM lesions, and to investigate the reproducibility of bone marrow lesions detection and quantitative data of (18)F-FDG uptake between the functional (PET) component of PET/CT and PET/MRI in MM patients. The study includes 30 MM patients. All patients initially underwent (18)F-FDG PET/CT (60 min p.i.), followed by PET/MRI (120 min p.i.). PET/CT and PET/MRI data were assessed and compared based on qualitative (lesion detection) and quantitative (SUV) evaluation. The hybrid PET/MRI system provided good image quality in all cases without artefacts. PET/MRI identified 65 of the 69 lesions, which were detectable with PET/CT (94.2%). Quantitative PET evaluations showed the following mean values in MM lesions: SUVaverage=5.5 and SUVmax=7.9 for PET/CT; SUVaverage=3.9 and SUVmax=5.8 for PET/MRI. Both SUVaverage and SUVmax were significantly higher on PET/CT than on PET/MRI. Spearman correlation analysis demonstrated a strong correlation between both lesional SUVaverage (r=0.744) and lesional SUVmax (r=0.855) values derived from PET/CT and PET/MRI. Regarding detection of myeloma skeletal lesions, PET/MRI exhibited equivalent performance to PET/CT. In terms of tracer uptake quantitation, a significant correlation between the two techniques was demonstrated, despite the statistically significant differences in lesional SUVs between PET/CT and PET/MRI.

Indexed as

Multiple myelomaPET/CTPET/MRISUV

Identifiers

PMID26550538
PMCPMC4620174

What OpenQuestion holds

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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.