ReviewThe British journal of radiology2020
What's New for Clinical Whole-body MRI (WB-MRI) in the 21st Century.
Review in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Whole-body MRI for opportunistic cancer detection in asymptomatic individuals: a systematic review and meta-analysis.European radiology · 2026Pooled it
- Whole-Body MRI Is an Effective Imaging Modality for Hematological Malignancy Treatment Response Assessment: A Systematic Review and Meta-Analysis.Frontiers in oncology · 2022Pooled it
- U-Swing: An Adaptive U-Net and Swin Fusion for WB-MRI Whole Spine Bone Marrow Segmentation.Journal of imaging informatics in medicine · 2026Article
- Diagnostic performance of artificial intelligence for detecting peritoneal and small bowel dissemination in epithelial ovarian cancer using preoperative contrast-enhanced CT imaging.Scientific reports · 2026Article
- Whole-body magnetic resonance imaging for cutaneous melanoma staging: A scientific review.World journal of clinical oncology · 2025Article
- Whole-Body Magnetic Resonance Neurography-Technique, Current Perspectives, and Future Directions.Magnetic resonance imaging clinics of North America · 2025Review
- ADC measurement in whole-body MRI for multiple myeloma: a three b-values vs. two b-values DWI comparison.La Radiologia medica · 2025Article
- Whole-body MRI in oncology: acquisition protocols, current guidelines, and beyond.La Radiologia medica · 2024Review
- Feasibility of whole-body MRI for cancer screening in children and young people with ataxia telangiectasia: A mixed methods cross-sectional study.Cancer medicine · 2024Article
- Utilization of Whole-Body Magnetic Resonance Imaging in Challenging Diagnoses in Pediatric Rheumatology.Turkish archives of pediatrics · 2024Article
- Patient centered radiology: investigating 3 Tesla whole body MRI acceptance in cancer patients.La Radiologia medica · 2023Article
- Whole‑body MRI for metastatic workup in patients diagnosed with cancer.Molecular and clinical oncology · 2023Article
- Is whole-body magnetic resonance imaging a source of anxiety in oncological patients?Cancer reports (Hoboken, N.J.) · 2023Article
- Whole-body diffusion-weighted imaging with background body signal suppression and quantitative apparent diffusion coefficient in the detection, staging, and grading of non-Hodgkin lymphoma.Polish journal of radiology · 2023Article
- A review on the added value of whole-body MRI in metastatic lobular breast cancer.European radiology · 2022Review
- Preliminary results of abdominal simultaneous multi-slice accelerated diffusion-weighted imaging with motion-correction in patients with cystic fibrosis and impaired compliance.Abdominal radiology (New York) · 2022Article
- Whole-body diffusion-weighted MRI of normal lymph nodes: prospective apparent diffusion coefficient histogram and nodal distribution analysis in a healthy cohort.Cancer imaging : the official publication of the International Cancer Imaging Society · 2021Article
- Whole-body magnetic resonance imaging (WB-MRI) for cancer screening: recommendations for use.La Radiologia medica · 2021Review
- Whole-body diffusion-weighted MRI in lymphoma-comparison of global apparent diffusion coefficient histogram parameters for differentiation of diseased nodes of lymphoma patients from normal lymph nodes of healthy individuals.Quantitative imaging in medicine and surgery · 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whole-body MRI (WB-MRI) has evolved since its first introduction in the 1970s as an imaging technique to detect and survey disease across multiple sites and organ systems in the body. The development of diffusion-weighted MRI (DWI) has added a new dimension to the implementation of WB-MRI on modern scanners, offering excellent lesion-to-background contrast, while achieving acceptable spatial resolution to detect focal lesions 5 to 10 mm in size. MRI hardware and software advances have reduced acquisition times, with studies taking 40-50 min to complete.The rising awareness of medical radiation exposure coupled with the advantages of MRI has resulted in increased utilization of WB-MRI in oncology, paediatrics, rheumatological and musculoskeletal conditions and more recently in population screening. There is recognition that WB-MRI can be used to track disease evolution and monitor response heterogeneity in patients with cancer. There are also opportunities to combine WB-MRI with molecular imaging on PET-MRI systems to harness the strengths of hybrid imaging. The advent of artificial intelligence and machine learning will shorten image acquisition times and image analyses, making the technique more competitive against other imaging technologies.
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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.