ArticleEuropean radiology2020
MRI versus
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.
What it found
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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.
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.
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
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
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Prognostic value ofEuropean radiology · 2021Pooled it
- Bone-modifying therapy in multiple myeloma: a comprehensive review.Frontiers in oncology · 2026Review
- Fifteen years of use of functional imaging in multiple myeloma: where we started and where we are going.Blood advances · 2025Review
- Qualitative and Quantitative Inter-Observer Agreement of Multiparametric Whole-Body MRI in Staging and Follow-Up of Myeloma Patients.Diagnostics (Basel, Switzerland) · 2025Article
- Navigating the clinical landscape: Update on the diagnostic and prognostic biomarkers in multiple myeloma.Molecular biology reports · 2024Review
- Development of a whole spinal MRI-based tumor burden scoring method in participants with multiple myeloma: a pilot study of prognostic significance.Annals of hematology · 2024Article
- Test-retest, inter- and intra-rater reproducibility of size measurements of focal bone marrow lesions in MRI in patients with multiple myeloma.The British journal of radiology · 2023Article
- 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?European radiology · 2023Article
- Modern imaging techniques for monitoring patients with multiple myeloma.Medicine and pharmacy reports · 2022Review
- Advanced Imaging in Multiple Myeloma: New Frontiers for MRI.Diagnostics (Basel, Switzerland) · 2022Review
- Optimization of whole-body 2-[European radiology · 2022Article
- Myeloma Response Assessment and Diagnosis System (MY-RADS): strategies for practice implementation.Skeletal radiology · 2022Review
- Imaging of treatment response and minimal residual disease in multiple myeloma: state of the art WB-MRI and PET/CT.Skeletal radiology · 2022Review
- The Diagnostic Value ofContrast media & molecular imaging · 2022Article
- Floccinaucinihilipilification: is there a continuing role for the radiographic skeletal survey?Skeletal radiology · 2022Article
- Prospective Evaluation of Whole-Body MRI versus FDG PET/CT for Lesion Detection in Participants with Myeloma.Radiology. Imaging cancer · 2021Observational
- Comparison of the diagnostic performance and impact on management of 18F-FDG PET/CT and whole-body MRI in multiple myeloma.European journal of nuclear medicine and molecular imaging · 2021Article
- Diagnostic performance ofBritish journal of haematology · 2021Article
- Baseline bone marrow ADC value of diffusion-weighted MRI: a potential independent predictor for progression and death in patients with newly diagnosed multiple myeloma.European radiology · 2021Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
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.
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What OpenQuestion holds
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.