ReviewMagma (New York, N.Y.)2013
Sequential whole-body PET/MR scanner: concept, clinical use, and optimisation after two years in the clinic. The manufacturer's perspective.
Review in Magma (New York, N.Y.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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
28 citing papers in PubMed.
- Abdominopelvic MR to CT registration using a synthetic CT intermediate.Journal of applied clinical medical physics · 2022Article
- Feasibility of Total Variation Noise Reduction Algorithm According to Various MR-Based PET Images in a Simultaneous PET/MR System: A Phantom Study.Diagnostics (Basel, Switzerland) · 2021Article
- Brain Tumour Temporal Monitoring of Interval Change Using Digital Image Subtraction Technique.Frontiers in public health · 2021Article
- Attenuation correction for human PET/MRI studies.Physics in medicine and biology · 2020Article
- mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification.IEEE transactions on medical imaging · 2020Article
- Simultaneous emission and attenuation reconstruction in time-of-flight PET using a reference object.EJNMMI physics · 2020Article
- A Novel Distributed Multitask Fuzzy Clustering Algorithm for Automatic MR Brain Image Segmentation.Journal of medical systems · 2019Article
- Role of FDG-PET/MRI, FDG-PET/CT, and Dynamic Susceptibility Contrast Perfusion MRI in Differentiating Radiation Necrosis from Tumor Recurrence in Glioblastomas.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2018Article
- EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies.European journal of nuclear medicine and molecular imaging · 2017Review
- Clinical utility of 18F-FDG-PET/MR for preoperative breast cancer staging.European radiology · 2016Article
- Feasibility of carotid artery PET/MRI in psoriasis patients.American journal of nuclear medicine and molecular imaging · 2016Article
- Generation of brain pseudo-CTs using an undersampled, single-acquisition UTE-mDixon pulse sequence and unsupervised clustering.Medical physics · 2015Article
- Use of PET/CT instead of CT-only when planning for radiation therapy does not notably increase life years lost in children being treated for cancer.Pediatric radiology · 2015Article
- Dose Optimization in TOF-PET/MR Compared to TOF-PET/CT.PloS one · 2015Article
- Impact of point spread function modelling and time of flight on FDG uptake measurements in lung lesions using alternative filtering strategies.EJNMMI physics · 2014Article
- Comparison of MR-based attenuation correction and CT-based attenuation correction of whole-body PET/MR imaging.European journal of nuclear medicine and molecular imaging · 2014Article
- Positron emission tomography-magnetic resonance imaging: technical review.Seminars in roentgenology · 2014Review
- Combined PET/MR: Where are we now? Summary report of the second international workshop on PET/MR imaging April 8-12, 2013, Tubingen, Germany.Molecular imaging and biology · 2014Review
- Detection and quantification of focal uptake in head and neck tumours: (18)F-FDG PET/MR versus PET/CT.European journal of nuclear medicine and molecular imaging · 2014Article
- Improvement of attenuation correction in time-of-flight PET/MR imaging with a positron-emitting source.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PET and MRI are established clinical tools which provide complementary information, but clinical workflow limits widespread clinical application of both modalities in combination. The two modalities are usually situated in different hospital departments and operated and reported independently, and patients are referred for both scans, often consecutively. With the advent of PET/MR as a new hybrid imaging modality there is now a possibility of addressing these concerns. There are two different design philosophies for integrated PET/MR imaging-positioning PET inside the MRI magnet or in tandem, similar to PET/CT. The Ingenuity TF PET/MR by Philips Healthcare is a sequential PET/MR tomograph combining state-of-the-art time-of-flight PET and high-field MRI with parallel transmission capabilities. In this review article we describe the technology implemented in the system, for example RF and magnetic shielding, MR-based attenuation correction, peculiarities in scatter correction, MR system optimisation, and the philosophy behind its design. Furthermore, we provide an overview of how the system has been used during the last two years, and expectations of how the use of PET/MR may continue in the years to come. On the basis of these observations and experiences we discuss the utility of the system, clinical workflow and acquisition times, and possible ways of optimization.
Indexed as
Identifiers
22868642What 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.