Zusammenfassung
Hintergrund
Die MR/PET ermöglicht als Hybridverfahren die Akquisition einer Vielzahl von Parametern während einer einzelnen Untersuchung. Dazu gehören die Darstellung der Anatomie, aber auch funktioneller und metabolischer Informationen, etwa zu Perfusion, Diffusion und Stoffwechsel.
Ziel der Arbeit
Die vorliegende Arbeit gibt einen Überblick über die verschiedenen Methoden und deren Anwendungsmöglichkeiten in multiparametrischer Bildgebung mittels MR/PET.
Ergebnisse
Es konnte gezeigt werden, dass die Zusammenführung der Informationen, die bei den Hybridverfahren gewonnen werden, bei onkologischen, neurologischen und inflammatorischen Erkrankungen zu einer Verbesserung der diagnostischen Genauigkeit führen kann. Aufgrund der Fülle und Komplexität der hierbei anfallenden Daten ist die Anwendung von Klassifikationsverfahren und Methoden der Parameterselektion sinnvoll.
Diskussion
Derzeit sind der klinischen Anwendung der dargestellten Verfahren noch Grenzen gesetzt, da einerseits eine Software für eine schnelle und standardisierte Auswertung der gewonnenen Bilddaten noch fehlt. Andererseits gibt es Mängel bei der Vergleichbarkeit der Ergebnisse aufgrund von fehlenden Standardisierungen des Untersuchungs- und Befundungsablaufs.
Abstract
Background
Combined MRI/PET enables the acquisition of a variety of imaging parameters during one examination, including anatomical and functional information such as perfusion, diffusion, and metabolism.
Objective
The present article summarizes these methods and their applications in multiparametric imaging via MRI/PET.
Results
Numerous studies have shown that the combination of these parameters can improve diagnostic accuracy for many applications, including the imaging of oncological, neurological, and inflammatory conditions. Because of the amount and the complexity of the acquired multiparametric data, there is a need for advanced analysis tools, such as methods of parameter selection and data classification.
Discussion
Currently, the clinical application of this process still has limitations. On the one hand, software for the fast calculation and standardized evaluation of the imaging data acquired is still lacking. On the other hand, there are deficiencies when comparing the results because of a lack of standardization of the assessment and diagnostic procedure.
Literatur
Antoch G, Saoudi N, Kuehl H et al (2004) Accuracy of whole-body dual-modality fluorine-18-2-fluoro-2-deoxy-D-glucose positron emission tomography and computed tomography (FDG-PET/CT) for tumor staging in solid tumors: comparison with CT and PET. J Clin Oncol 22:4357–4368
Arbizu J, Tejada S, Marti-Climent JM et al (2012) Quantitative volumetric analysis of gliomas with sequential MRI and (1)(1)C-methionine PET assessment: patterns of integration in therapy planning. Eur J Nucl Med Mol Imaging 39:771–781
Artan Y, Haider MA, Langer DL et al (2010) Prostate cancer localization with multispectral MRI using cost-sensitive support vector machines and conditional random fields. IEEE Trans Image Process 19:2444–2455
Awasthi R, Rathore RK, Soni P et al (2012) Discriminant analysis to classify glioma grading using dynamic contrast-enhanced MRI and immunohistochemical markers. Neuroradiology 54:205–213
Bailey D, Barthel H, Beyer T et al (2013) Summary Report of the First International Workshop on PET/MR Imaging, March 19–23, 2012, Tübingen, Germany. Mol Imaging Biol 15:361–371
Blockmans D, Bley T, Schmidt W (2009) Imaging for large-vessel vasculitis. Curr Opin Rheumatol 21:19–28
Bruijnen ST, Gent YY, Voskuyl AE et al (2014) Present role of positron emission tomography in the diagnosis and monitoring of peripheral inflammatory arthritis: a systematic review. Arthritis Care Res 66:120–130
Cheng HL, Stikov N, Ghugre NR et al (2012) Practical medical applications of quantitative MR relaxometry. J Magn Reson Imaging 36:805–824
Delso G, Furst S, Jakoby B et al (2011) Performance measurements of the Siemens mMR integrated whole-body PET/MR scanner. J Nucl Med 52:1914–1922
Dukart J, Mueller K, Horstmann A et al (2011) Combined evaluation of FDG-PET and MRI improves detection and differentiation of dementia. PLoS ONE 6:e18111
Einspieler I, Thurmel K, Pyka T et al (2015) Imaging large vessel vasculitis with fully integrated PET/MRI: a pilot study. Eur J Nucl Med Mol Imaging 42:1012–1024
Floeth FW, Sabel M, Stoffels G et al (2008) Prognostic value of 18 F-fluoroethyl-L-tyrosine PET and MRI in small nonspecific incidental brain lesions. J Nucl Med 49:730–737
Gillings N (2013) Radiotracers for positron emission tomography imaging. MAGMA 26:149–158
Gunn RN, Gunn SR, Cunningham VJ (2001) Positron emission tomography compartmental models. J Cereb Blood Flow Metab 21:635–652
Halpenny DF, Burke JP, Lawlor GO et al (2009) Role of PET and combination PET/CT in the evaluation of patients with inflammatory bowel disease. Inflamm Bowel Dis 15:951–958
Hambrock T, Vos PC, Hulsbergen-Van De Kaa CA et al (2013) Prostate cancer: computer-aided diagnosis with Multiparametric 3-T MR imaging – effect on observer performance. Radiology 266:521–530
Hu X, Wong KK, Young GS et al (2011) Support vector machine multiparametric MRI identification of pseudoprogression from tumor recurrence in patients with resected glioblastoma. J Magn Reson Imaging 33:296–305
Jacobs MA, Barker PB, Bluemke DA et al (2003) Benign and malignant breast lesions: diagnosis with multiparametric MR imaging. Radiology 229:225–232
Jesuratnam-Nielsen K, Logager VB, Munkholm P et al (2015) Diagnostic accuracy of three different MRI protocols in patients with inflammatory bowel disease. Acta Radiol Open. doi:10.1177/2058460115588099
Kloppel S, Stonnington CM, Barnes J et al (2008) Accuracy of dementia diagnosis: a direct comparison between radiologists and a computerized method. Brain 131:2969–2974
Kotsiantis SB (2007) Supervised Machine Learning: A Review of Classification Techniques. Informatica 31:249–268
Kumar R, Dhanpathi H, Basu S et al (2008) Oncologic PET tracers beyond [(18)F]FDG and the novel quantitative approaches in PET imaging. Q J Nucl Med Mol Imaging 52:50–65
Malayeri AA, El Khouli RH, Zaheer A et al (2011) Principles and applications of diffusion-weighted imaging in cancer detection, staging, and treatment follow-up. Radiographics 31:1773–1791
Martirosian P, Boss A, Schraml C et al (2010) Magnetic resonance perfusion imaging without contrast media. Eur J Nucl Med Mol Imaging 37(Suppl 1):S52–S64
Mcqueen FM (2000) Magnetic resonance imaging in early inflammatory arthritis: what is its role? Rheumatology (Oxford) 39:700–706
Niaf E, Rouviere O, Mege-Lechevallier F et al (2012) Computer-aided diagnosis of prostate cancer in the peripheral zone using multiparametric MRI. Phys Med Biol 57:3833–3851
Park H, Wood D, Hussain H et al (2012) Introducing parametric fusion PET/MRI of primary prostate cancer. J Nucl Med 53:546–551
Pauleit D, Floeth F, Hamacher K et al (2005) O-(2-[18 F]fluoroethyl)-L-tyrosine PET combined with MRI improves the diagnostic assessment of cerebral gliomas. Brain 128:678–687
Pinker K, Stadlbauer A, Bogner W et al (2012) Molecular imaging of cancer: MR spectroscopy and beyond. Eur J Radiol 81:566–577
Rui X, li Wunsch D (2005) Survey of clustering algorithms. IEEE Trans Neural Netw 16:645–678
Schick F (2006) MRT sequences. Part I. Radiologe 46:615–627
Schlemmer HP, Pichler BJ, Schmand M et al (2008) Simultaneous MR/PET imaging of the human brain: feasibility study. Radiology 248:1028–1035
Schmidt H, Brendle C, Schraml C et al (2013) Correlation of Simultaneously Acquired Diffusion-Weighted Imaging and 2-Deoxy-[18 F] fluoro-2-D-glucose Positron Emission Tomography of Pulmonary Lesions in a Dedicated Whole-Body Magnetic Resonance/Positron Emission Tomography System. Investig Radiol 48(5):241–246
Shah V, Turkbey B, Mani H et al (2012) Decision support system for localizing prostate cancer based on multiparametric magnetic resonance imaging. Med Phys 39:4093–4103
Sinha S, Lucas-Quesada FA, Debruhl ND et al (1997) Multifeature analysis of Gd-enhanced MR images of breast lesions. J Magn Reson Imaging 7:1016–1026
Sourbron SP, Buckley DL (2012) Tracer kinetic modelling in MRI: estimating perfusion and capillary permeability. Phys Med Biol 57:R1–33
Soussan M, Nicolas P, Schramm C et al (2015) Management of large-vessel vasculitis with FDG-PET: a systematic literature review and meta-analysis. Medicine 94:e622
Turkbey B, Mani H, Shah V et al (2011) Multiparametric 3 T prostate magnetic resonance imaging to detect cancer: histopathological correlation using prostatectomy specimens processed in customized magnetic resonance imaging based molds. J Urol 186:1818–1824
Turkbey B, Pinto PA, Mani H et al (2010) Prostate cancer: value of multiparametric MR imaging at 3 T for detection--histopathologic correlation. Radiology 255:89–99
Van Der Maaten LJP, Postma EO, Van Den Herik HJ (2009) Dimensionality Reduction: A Comparative Review. TiCC Technical Report 2009-005
Weinmann H-J, Ebert W, Misselwitz B et al (2003) Tissue-specific MR contrast agents. Eur J Radiol 46:33–44
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Interessenkonflikt
S. Gatidis, H. Schmidt, C.D. Claussen und N.F. Schwenzer geben an, dass kein Interessenkonflikt besteht.
Dieser Beitrag beinhaltet keine Studien an Menschen oder Tieren.
Additional information
Redaktion
B. Hellmich, Kirchheim-Teck
P. Lamprecht, Lübeck
F. Moosig, Neumünster
Dieser Beitrag ist eine aktualisierte und neu bearbeitete Fassung des Beitrags „Multiparametrische Bildgebung mittels simultaner MR/PET. Methodische Aspekte und Möglichkeiten der klinischen Anwendungen“ Radiologe 2013 53:669–675, doi:10.1007/s00117-013-2496-3
Rights and permissions
About this article
Cite this article
Gatidis, S., Schmidt, H., Claussen, C.D. et al. Multiparametrische Bildgebung mittels simultaner MR/PET. Z Rheumatol 74, 878–886 (2015). https://doi.org/10.1007/s00393-015-0011-0
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00393-015-0011-0
Schlüsselwörter
- Bildgebende Verfahren
- Magnetresonanztomographie
- Positronen-Emissions-Tomographie
- Radiotracer
- Hauptkomponentenanalyse