| Literature DB >> 28971346 |
D L Bailey1, B J Pichler2, B Gückel3, G Antoch4, H Barthel5, Z M Bhujwalla6, S Biskup7, S Biswal8, M Bitzer9, R Boellaard10, R F Braren11, C Brendle12, K Brindle13,14, A Chiti15,16, C la Fougère17, R Gillies18, V Goh19,20, M Goyen21, M Hacker22, L Heukamp23, G M Knudsen24, A M Krackhardt25, I Law26, J C Morris27, K Nikolaou3, J Nuyts28, A A Ordonez29, K Pantel30, H H Quick31,32, K Riklund33, O Sabri5, B Sattler5, E G C Troost34,35,36,37, M Zaiss38, L Zender39, Thomas Beyer40.
Abstract
The 6th annual meeting to address key issues in positron emission tomography (PET)/magnetic resonance imaging (MRI) was held again in Tübingen, Germany, from March 27 to 29, 2017. Over three days of invited plenary lectures, round table discussions and dialogue board deliberations, participants critically assessed the current state of PET/MRI, both clinically and as a research tool, and attempted to chart future directions. The meeting addressed the use of PET/MRI and workflows in oncology, neurosciences, infection, inflammation and chronic pain syndromes, as well as deeper discussions about how best to characterise the tumour microenvironment, optimise the complementary information available from PET and MRI, and how advanced data mining and bioinformatics, as well as information from liquid biomarkers (circulating tumour cells and nucleic acids) and pathology, can be integrated to give a more complete characterisation of disease phenotype. Some issues that have dominated previous meetings, such as the accuracy of MR-based attenuation correction (AC) of the PET scan, were finally put to rest as having been adequately addressed for the majority of clinical situations. Likewise, the ability to standardise PET systems for use in multicentre trials was confirmed, thus removing a perceived barrier to larger clinical imaging trials. The meeting openly questioned whether PET/MRI should, in all cases, be used as a whole-body imaging modality or whether in many circumstances it would best be employed to give an in-depth study of previously identified disease in a single organ or region. The meeting concluded that there is still much work to be done in the integration of data from different fields and in developing a common language for all stakeholders involved. In addition, the participants advocated joint training and education for individuals who engage in routine PET/MRI. It was agreed that PET/MRI can enhance our understanding of normal and disrupted biology, and we are in a position to describe the in vivo nature of disease processes, metabolism, evolution of cancer and the monitoring of response to pharmacological interventions and therapies. As such, PET/MRI is a key to advancing medicine and patient care.Entities:
Keywords: Hybrid imaging; Infection; Inflammation; MR-PET; MRI; Molecular imaging; Multi-parametric imaging; Neurology; Oncology; PET; PET/CT; PET/MRI; Quantification
Mesh:
Year: 2018 PMID: 28971346 PMCID: PMC5775351 DOI: 10.1007/s11307-017-1123-5
Source DB: PubMed Journal: Mol Imaging Biol ISSN: 1536-1632 Impact factor: 3.488
Key to current status of PET/MRI
| ↑ | Documented evidence of improvement in science and methodology |
| ↗ | Suggestion of improvement in methodology, but requires further investigation |
| ↔ | No change, but satisfactory status since previous workshop |
| ↘ | Little advancement in science and methodology despite previous recognition of need for improvement |
| ↓ | Less clear evidence than previously suggested |
Suggested current clinical roles for stand-alone CT, PET and MRI (courtesy of A Beer, Würzburg)
| CT | Robust, rapid whole-body assessment |
| PET | “Problem solving” whole-body tool |
| MRI | “Problem solving” specific regional imaging tool |
Fig. 1.Patient with oropharyngeal carcinoma pre- and post-RT. a [18F]FDG-PET/CT prior to RT. Oral mucosa delineated in pink, clinical target volume (CTV) in red. b [18F]FDG-PET/CT during week 4 of RT. For the analysis, the CTV was subtracted from mucosa. ( Courtesy of S. Zschaeck, MD, Charité Berlin)
Fig. 2.Joint PET and MR image reconstruction. Simulated PET and undersampled (5 of 8 coils) T1-w MR data. First independent reconstructions were performed, using least squares reconstruction with joint total variation (TV) prior to MR and ML reconstruction with a TV prior to PET. Then, a simultaneous MR and PET reconstruction with the joint TV prior was performed. The resolution of the PET image improves a little, whilst the changes to the MR image appear very minor at best (courtesy of J Nuyts, Leuven/BE).
Progress of physics and instrumentation developments since the first workshop
| Feature | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|---|
| 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 ( | ↓ | ↘ | ↘ | – | – | ↗ |
Recent evidence on the role of PET/MRI in oncology, 2015 onwards (adapted from the presentation by V. Goh, London)
| Tumour type | Studies | No. of patients | Comparator | Findings | First author [citation] |
|---|---|---|---|---|---|
| Prostate Ca ([68Ga]-PSMA) | 1 | 66 (primary staging) | PET and multi-parametric MRI | Higher detection rate with PET/MRI | Eiber [ |
| 1 | 119 (recurrence) | PET/CT | Higher detection rate with PET/MRI | Freitag [ | |
| Prostate Ca choline (11C or 18F) | 1 | 31 (primary staging) | Multi-parametric MRI and FDG PET/MRI | Higher detection rate with PET/MRI | Lee [ |
| Lymphoma | 5 | 61 | PET/CT | Comparable performance between PET/MRI and PET/CT | Hermann [ |
| Gastric Ca | 1 | 42 | ceCT | Higher accuracy than CT: 92.9 | Ha [ |
| Ca of unknown primary | 2 | 20 | PET/CT | Outperforms PET/CT for detection of primary tumour | Ruhlmann [ |
| Breast Ca (suspected recurrence) | 1 | 36 (25 with recurrence) | MRI | PET/MRI: Sens 95 %, Spec 93 %, PPV 98 %, NPV 87 % | Grueneisen [ |
| Mesothelioma | 1 | 6 | PET/CT | No difference between PET/MRI and PET/CT | Scaarschmidt [ |
| Cervical Ca | 1 | 27 | Pathology ( | T stage; correct in 85 % | Grueneisen [ |
| Oesophageal Ca | 1 | 19 | EUS, CT, PET/CT | T stage: correct in 66.7 | Lee [ |
| Breast IDC | 1 | 21 | Pathology (IHC) | PET/MR biomarkers correlated with IHC phenotype in 13/21 patients (62 %; | Catalano [ |
| Endometrial Ca | 1 | 36 | Pathology | SUVmax and ADCmin increased in higher grade, advanced stage, deep myometrial invasion, cervical invasion, lymphovascular space and lymph node metastasis ( | Shih [ |
Ca cancer, CUP cancer of unknown primary, ceCT contrast-enhanced CT, ER estrogen receptor, EUS endoscopic ultrasonography, IDC invasive ductal carcinoma, IHC immunohistochemistry, N nodal stage, NPV negative predictive value, PR progesterone receptor, PPV positive predictive value, PSMA prostate-specific antigen, Sens sensitivity, Spec specificity, T tumour stage, VIBE volume-interpolated breath-hold examination
Fig. 3.Co-registration of imaging and histopathology data. a Work flow schematic. b Pre-operative T2w image with annotated resection margins. c 3D print mold. f Fixated axially processed specimen with g annotated tissue blocks. h Stitching of tissue slices. i Screenshot of in-house written software for co-registration and regional analysis of imaging and histopathology data (courtesy of Rickmer Braren, Katja Steiger, Franz Irlinger and Maximilian Baust).
Progress indicators for PET/MRI in oncology
| Feature | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|---|
| Definition of key clinical applications | ↔ | ↔ | ↗ | ↗ | ↗ | ↗ |
| 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 | ↓ | ↔ | ↘ | ↔ | ↔ | ↔ |
| Clinical evidence on the usefulness of PET/MRI in paediatric oncology | ↔ | ↗ | ↗ | ↗ | ↔ | ↔ |
| Reduced radiation exposure as a key driver for paediatric PET/MRI | ↗ | ↑ | ↑ | ↔ | ↘ | ↘ |
Fig. 4.Selection of target structures on effector T cells as well as probes and nuclides to develop safe and efficient imaging strategies to track T cells during immunotherapy (courtesy of Sabine Mall and Angela Krackhardt).
Fig. 5.Tracking of intravenously injected T-cell receptor (TCR)-transduced central memory T cells within antigen-expressing tumours by Zr-89-labelled aTCRmu-F(ab′)2 using PET/CT. a TCR-transgenic T cells were injected intravenously after tumour engraftment followed by i.v. injection of [89Zr]-labelled aTCRmu-F(ab′)2 48 h after adoptive T-cell transfer. b Heterogeneity of T-cell infiltration, as seen in the zoom in, has been validated by semi-quantitative analysis using immunohistochemistry [55] (courtesy of Sabine Mall and Angela Krackhardt).
Progress indicators for PET/MRI in neurology
| Feature | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
|---|---|---|---|---|---|---|
| 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 | ↓ | ↘ | ↔ | ↔ | ↔ | ↗ |
Progress indicators for PET/MRI in infection and inflammation
| 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | |
|---|---|---|---|---|---|---|
| Improved tissue characterisation by combined PET/MRI | – | – | – | – | ↗ | ↗ |
| Development of new radiopharmaceuticals for PET use in general | – | – | – | – | ↗ | ↗ |
| Standardise imaging protocols | – | – | – | – | ↔ | ↔ |
| Standardise image interpretation criteria | – | – | – | – | ↔ | ↔ |
| Definition of key clinical applications | – | – | – | – | ↗ | ↔ |
Progress indicators for PET/MRI for applications in emerging areas
| 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | |
|---|---|---|---|---|---|---|
| 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 | ↔ | ↗ | ↑ | ↑ | ↗ | ↗ |
| Using standardised approaches for assessing the accuracy of PET/MRI and towards multi-parametric image analysis | – | – | – | ↗ | ↔ | ↔ |