Trial reportEuropean journal of nuclear medicine and molecular imaging2011
Value of a Dixon-based MR/PET attenuation correction sequence for the localization and evaluation of PET-positive lesions.
Trial report in European journal of nuclear medicine and molecular imaging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.
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Who cites it
73 citing papers in PubMed, 11 citations in OpenAlex.
- Integrated whole-body PET/MRI with 18F-FDG, 18F-FDOPA, and 18F-FDA in paragangliomas in comparison with PET/CT: NIH first clinical experience with a single-injection, dual-modality imaging protocol.Clinical nuclear medicine · 2014Trial
- Discrimination and anatomical mapping of PET-positive lesions: comparison of CT attenuation-corrected PET images with coregistered MR and CT images in the abdomen.European journal of nuclear medicine and molecular imaging · 2013Trial
- Deriving tissue physical densities based on Dixon magnetic resonance images and tissue composition prior knowledge for voxel-based internal dosimetry.EJNMMI physics · 2025Article
- Application of PET/MRI in Gynecologic Malignancies.Cancers · 2024Review
- Brain imaging of sequential acquisition using a flexible PET scanner and 3-T MRI: quantitative and qualitative assessment.Annals of nuclear medicine · 2023Article
- Current status of PSMA-targeted imaging and therapy.Frontiers in oncology · 2023Review
- Application of a Flexible PET Scanner Combined with 3 T MRI Using Non-local Means Reconstruction: Qualitative and Quantitative Comparison with Whole-Body PET/CT.Molecular imaging and biology · 2022Article
- A decade of multi-modality PET and MR imaging in abdominal oncology.The British journal of radiology · 2021Review
- Deep learning-based T1-enhanced selection of linear attenuation coefficients (DL-TESLA) for PET/MR attenuation correction in dementia neuroimaging.Magnetic resonance in medicine · 2021Article
- An international expert opinion statement on the utility of PET/MR for imaging of skeletal metastases.European journal of nuclear medicine and molecular imaging · 2021Article
- Multiparametric MR-PET Imaging Predicts Pharmacokinetics and Clinical Response to GDC-0084 in Patients with Recurrent High-Grade Glioma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020Article
- A super-resolution framework for the reconstruction of T2-weighted (T2w) time-resolved (TR) 4DMRI using T1w TR-4DMRI as the guidance.Medical physics · 2020Article
- Validation of MR-Based Attenuation Correction of a Newly Released Whole-Body Simultaneous PET/MR System.BioMed research international · 2019Article
- Simultaneous PET/MRI in assessing the response to chemo/radiotherapy in head and neck carcinoma: initial experience.Medical oncology (Northwood, London, England) · 2018Article
- Life is not black and white, nor just Shades of Gray.European journal of nuclear medicine and molecular imaging · 2018Article
- An international survey on hybrid imaging: do technology advances preempt our training and education efforts?Cancer imaging : the official publication of the International Cancer Imaging Society · 2018Article
- How to Provide Gadolinium-Free PET/MR Cancer Staging of Children and Young Adults in Less than 1 h: the Stanford Approach.Molecular imaging and biology · 2018Article
- MR-based motion correction for cardiac PET parametric imaging: a simulation study.EJNMMI physics · 2018Article
- PET/MRI: a frontier in era of complementary hybrid imaging.European journal of hybrid imaging · 2018Review
- Towards fast whole-body PET/MR: Investigation of PET image quality versus reduced PET acquisition times.PloS one · 2018Article
13 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeIn this study, the potential contribution of Dixon-based MR imaging with a rapid low-resolution breath-hold sequence, which is a technique used for MR-based attenuation correction (AC) for MR/positron emission tomography (PET), was evaluated for anatomical correlation of PET-positive lesions on a 3T clinical scanner compared to low-dose CT. This technique is also used in a recently installed fully integrated whole-body MR/PET system.
methodsThirty-five patients routinely scheduled for oncological staging underwent (18)F-fluorodeoxyglucose (FDG) PET/CT and a 2-point Dixon 3-D volumetric interpolated breath-hold examination (VIBE) T1-weighted MR sequence on the same day. Two PET data sets reconstructed using attenuation maps from low-dose CT (PET(AC_CT)) or simulated MR-based segmentation (PET(AC_MR)) were evaluated for focal PET-positive lesions. The certainty for the correlation with anatomical structures was judged in the low-dose CT and Dixon-based MRI on a 4-point scale (0-3). In addition, the standardized uptake values (SUVs) for PET(AC_CT) and PET(AC_MR) were compared.
resultsStatistically, no significant difference could be found concerning anatomical localization for all 81 PET-positive lesions in low-dose CT compared to Dixon-based MR (mean 2.51 ± 0.85 and 2.37 ± 0.87, respectively; p = 0.1909). CT tended to be superior for small lymph nodes, bone metastases and pulmonary nodules, while Dixon-based MR proved advantageous for soft tissue pathologies like head/neck tumours and liver metastases. For the PET(AC_CT)- and PET(AC_MR)-based SUVs (mean 6.36 ± 4.47 and 6.31 ± 4.52, respectively) a nearly complete concordance with a highly significant correlation was found (r = 0.9975, p < 0.0001).
conclusionDixon-based MR imaging for MR AC allows for anatomical allocation of PET-positive lesions similar to low-dose CT in conventional PET/CT. Thus, this approach appears to be useful for future MR/PET for body regions not fully covered by diagnostic MRI due to potential time constraints.
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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.