| Literature DB >> 25672749 |
D L Bailey1, G Antoch, P Bartenstein, H Barthel, A J Beer, S Bisdas, D A Bluemke, R Boellaard, C D Claussen, C Franzius, M Hacker, H Hricak, C la Fougère, B Gückel, S G Nekolla, B J Pichler, S Purz, H H Quick, O Sabri, B Sattler, J Schäfer, H Schmidt, J van den Hoff, S Voss, W Weber, H F Wehrl, T Beyer.
Abstract
This paper summarises the proceedings and discussions at the third annual workshop held in Tübingen, Germany, dedicated to the advancement of the technical, scientific and clinical applications of combined PET/MRI systems in humans. Two days of basic scientific and technical instructions with "hands-on" tutorials were followed by 3 days of invited presentations from active researchers in this and associated fields augmented by round-table discussions and dialogue boards with specific themes. These included the use of PET/MRI in paediatric oncology and in adult neurology, oncology and cardiology, the development of multi-parametric analyses, and efforts to standardise PET/MRI examinations to allow pooling of data for evaluating the technology. A poll taken on the final day demonstrated that over 50 % of those present felt that while PET/MRI technology underwent an inevitable slump after its much-anticipated initial launch, it was now entering a period of slow, progressive development, with new key applications emerging. In particular, researchers are focusing on exploiting the complementary nature of the physiological (PET) and biochemical (MRI/MRS) data within the morphological framework (MRI) that these devices can provide. Much of the discussion was summed up on the final day when one speaker commented on the state of PET/MRI: "the real work has just started".Entities:
Mesh:
Year: 2015 PMID: 25672749 PMCID: PMC4422837 DOI: 10.1007/s11307-014-0818-0
Source DB: PubMed Journal: Mol Imaging Biol ISSN: 1536-1632 Impact factor: 3.488
Fig. 1Illustration of the concept of multi-parametric imaging providing multiple layers of information that can be combined (or extracted) into probability maps (based on machine learning), image-based representations of selected information or other information. sFCM spatially constrained fuzzy c-means, SVM support vector machine (with support of Dr. Gatidis, Tübingen).
Fig. 2The IEC 61675–1 standard body-phantom: a For imaging, the phantom can be filled with fluid and tracer. Examples of inhomogeneous MR excitation in water (b) and inhomogeneous PET-tracer distribution in oil-based substances (c) in the described phantom are shown in the images on the right.
Fig. 3Current recommended applications of PET/MRI in paediatric oncology. Note that separate chest CT (all indications) may be omitted if MRI clearly demonstrates pulmonary manifestations and if allowed by protocol (*if required by protocol or in the case of inconclusive MRI).
Fig. 4An example of psoriatic arteritis imaged with simultaneous [18F]FDG-PET/MRI: a MRI, b fused PET and MR, and c PET.
| ↑ | Clear documented evidence of improvement in science and methodology of PET/MRI |
| ↗ | Suggestion of improvement in methodology applied to PET/MRI but requires further investigation |
| ↔ | No change but satisfactory status since previous workshop 1 year ago |
| ↘ | Little advancement in science and methodology of PET/MRI despite previous recognition of need for improvement |
| ↓ | Less clear knowledge now exists than previously, despite further developments in science and methodology of PET/MRI |
Status quo DB1: PET/MRI in oncology
| 2012 | 2013 | 2014 | |
|---|---|---|---|
| Diagnostic quality of PET in PET/MRI equivalent to PET quality in PET/CT | ↔ | ↔ | ↗ |
| Resolving quantitative bias from MR-AC | ↘ | ↔ | ↔ |
| Clinical data available on diagnostic accuracy of PET (/MRI) in oncology | ↔ | ↔ | ↗ |
| PET/MRI protocol standardisation | ↓ | ↘ | ↘ |
| Definition of key clinical applications | ↔ | ↔ | ↗ |
Status quo DB 2: Quantitative correction methods and standardisation
| 2012 | 2013 | 2014 | |
|---|---|---|---|
| Critical evaluation of MR-AC methods | ↗ | ↑ | ↑ |
| Validation of MR-based motion correction | ↔ | ↔ | ↗ |
| Agreement on acceptable lower limits of quantitative accuracy of PET following MR-AC | ↘ | ↘ | ↔ |
| Clinical introduction of advanced, MR-based quantitative parameters ( | ↓ | ↘ | ↘ |
Status quo DB3: PET/MRI in neurology
| 2012 | 2013 | 2014 | |
|---|---|---|---|
| Improved understanding of brain physiology and function through the use of combined PET/MRI | ↔ | ↗ | ↗ |
| Methodological progress for improved quantification of PET/MRI neurological examinations (AC, IDIF, SUV) | ↔ | ↔ | ↗ |
| MR-based motion correction for routine clinical use | ↓ | ↘ | ↔ |
Status quo DB4: Advanced PET/MRI and multi-parametric imaging
| 2012 | 2013 | 2014 | |
|---|---|---|---|
| Fully integrated PET/MRI exclusively offers the largest variety of multi-parametric biomarkers | ↔ | ↗ | ↑ |
| Validation of advanced multi-parametric biomarkers in clinical research (beyond “image fusion”) | ↘ | ↔ | ↗ |
| Contributions of small animal imaging to the understanding of multi-parametric biomarkers | ↔ | ↗ | ↑ |
Status quo DB 5: PET/MRI in paediatric oncology
| 2012 | 2013 | 2014 | |
|---|---|---|---|
| Clinical evidence on the usefulness of PET/MRI in paediatric oncology | ↔ | ↗ | ↗ |
| Reduced radiation exposure as a key driver for PET/MRI of children | ↗ | ↑ | ↑ |
| Initial results of a complementary role of advanced MR techniques for restaging of lymphoma patients | ↔ | ↔ | ↗ |
Status quo DB 6: PET/MRI in cardiology
| 2012 | 2013 | 2014 | |
|---|---|---|---|
| Resolution of methodological issues for CVD imaging (MR-AC, motion correction) | NA | ↗ | ↗ |
| Develop analysis tools for standard CVD applications | NA | ↔ | ↔ |
| Identification of key parameters/biomarkers from PET and MR to avoid redundancy in PET/MRI data | NA | ↔ | ↗ |
| Standardised imaging protocols | NA | ↔ | ↔ |
Status quo RT1: Key applications for PET/MRI
| 2012 | 2013 | 2014 | |
|---|---|---|---|
| Paediatric oncology is to become a key application of PET/MRI | ↗ | ↗ | ↑ |
| Dementia is to become a key application of PET/MRI | ↗ | ↑ | ↑ |
| Neuro-oncology is to become a key application of PET/MRI | ↗ | ↗ | ↗ |
| Cardiovascular imaging is to become a key application of PET/MRI | ↔ | ↔ | ↔ |
| Multi-centre evaluation of clinical PET/MRI | ↓ | ↘ | ↘ |
| Multi-parametric imaging is a key driver for PET/MRI | ↔ | ↗ | ↗ |