Literature DB >> 23519008

Correlation of simultaneously acquired diffusion-weighted imaging and 2-deoxy-[18F] fluoro-2-D-glucose positron emission tomography of pulmonary lesions in a dedicated whole-body magnetic resonance/positron emission tomography system.

Holger Schmidt1, Cornelia Brendle, Christina Schraml, Petros Martirosian, Ilja Bezrukov, Jürgen Hetzel, Mark Müller, Alexander Sauter, Claus D Claussen, Christina Pfannenberg, Nina F Schwenzer.   

Abstract

OBJECTIVE: Hybrid whole-body magnetic resonance/positron emission tomography (MR/PET) systems are a new diagnostic tool enabling the simultaneous acquisition of morphologic and multiple functional data and thus allowing for a diversified characterization of oncological diseases.The aim of this study was to investigate the image and alignment quality of MR/PET in patients with pulmonary lesions and to compare the congruency of the 2 functional measurements of diffusion-weighted imaging (DWI) in MR imaging and 2-deoxy-[18F] fluoro-2-D-glucose (FDG) uptake in PET.
MATERIALS AND METHODS: A total of 15 patients were examined with a routine positron emission tomography/computer tomography (PET/CT) protocol and, subsequently, in a whole-body MR/PET scanner allowing for simultaneous PET and MR data acquisition. The PET and MR image quality was assessed visually using a 4-point score (1, insufficient; 4, excellent). The alignment quality of the rigidly registered PET/CT and MR/PET data sets was investigated on the basis of multiple anatomic landmarks of the lung using a scoring system from 1 (no alignment) to 4 (very good alignment). In addition, the alignment quality of the tumor lesions in PET/CT and MR/PET as well as for retrospective fusion of PET from PET/CT and MR images was assessed quantitatively and was compared between lesions strongly or less influenced by respiratory motion. The correlation of the simultaneously acquired DWI and FDG uptake in the pulmonary masses was analyzed using the minimum and mean apparent diffusion coefficient (ADC min and ADC mean) as well as the maximum and mean standardized uptake value (SUV max and SUV mean), respectively. In addition, the correlation of SUV max from PET/CT data was investigated as well. On lesions 3 cm or greater, a voxelwise analysis of ADC and SUV was performed.
RESULTS: The visual evaluation revealed excellent image quality of the PET images (mean [SD] score, 3.6 [0.5]) and overall good image quality of DWI (mean [SD] score of 2.5 [0.5] for ADC maps and 2.7 [0.5] for diffusion-weighted images, respectively). The alignment quality of the data sets was very good in both MR/PET and PET/CT without significant differences (overall mean [SD] score of MR/PET, 3.8 [0.4]; PET/CT 3.6 [0.5]). Also, the alignment quality of the tumor lesions showed no significant differences between PET/CT and MR/PET (mean cumulative misalignment of MR/PET, 7.7 mm; PET/CT, 7.0 mm; P = 0.705) but between both modalities and a retrospective fusion (mean cumulative misalignment, 17.1 mm; P = 0.002 and P = 0.008 for PET/CT and MR/PET, respectively). Also, the comparison of the lesions strongly or less influenced by respiratory motion showed significant differences only for the retrospective fusion (21.3 mm vs 11.5 mm, respectively; P = 0.043). The ADC min and SUV max as measures of the cell density and glucose metabolism showed a significant reverse correlation (r = -0.80; P = 0.0006). No significant correlation was found between ADC mean and SUV mean (r = -0.42; P = 0.1392). Also, SUV max from the PET/CT data showed significant reverse correlation to ADC min (r = -0.62; P = 0.019). The voxelwise analysis of 5 pulmonary lesions each showed weak but significant negative correlation between ADC and SUV.
CONCLUSIONS: Examinations of pulmonary lesions in a simultaneous whole-body MR/PET system provide diagnostic image quality in both modalities. Although DWI and FDG-PET reflect different tissue properties, there may very well be an association between the measures of both methods most probably because of increased cellularity and glucose metabolism of FDG-avid pulmonary lesions. A voxelwise DWI and FDG-PET correlation might provide a more sophisticated spatial characterization of pulmonary lesions.

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Year:  2013        PMID: 23519008     DOI: 10.1097/RLI.0b013e31828d56a1

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  28 in total

Review 1.  [Multiparametric imaging with simultaneous MRI/PET: Methodological aspects and possible clinical applications].

Authors:  S Gatidis; H Schmidt; C D Claussen; N F Schwenzer
Journal:  Z Rheumatol       Date:  2015-12       Impact factor: 1.372

2.  Thoracic staging of non-small-cell lung cancer using integrated (18)F-FDG PET/MR imaging: diagnostic value of different MR sequences.

Authors:  Benedikt Schaarschmidt; Christian Buchbender; Benedikt Gomez; Christian Rubbert; Florian Hild; Jens Köhler; Johannes Grueneisen; Henning Reis; Verena Ruhlmann; Axel Wetter; Harald H Quick; Gerald Antoch; Philipp Heusch
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-04-08       Impact factor: 9.236

3.  Multiparametric voxel-based analyses of standardized uptake values and apparent diffusion coefficients of soft-tissue tumours with a positron emission tomography/magnetic resonance system: Preliminary results.

Authors:  Koji Sagiyama; Yuji Watanabe; Ryotaro Kamei; Sungtak Hong; Satoshi Kawanami; Yoshihiro Matsumoto; Hiroshi Honda
Journal:  Eur Radiol       Date:  2017-06-20       Impact factor: 5.315

Review 4.  [Multiparametric imaging with simultaneous MR/PET. Methodological aspects and possible clinical applications].

Authors:  S Gatidis; H Schmidt; C D Claussen; N F Schwenzer
Journal:  Radiologe       Date:  2013-08       Impact factor: 0.635

Review 5.  Hyperpolarized carbon-13 magnetic resonance spectroscopic imaging: a clinical tool for studying tumour metabolism.

Authors:  Fulvio Zaccagna; James T Grist; Surrin S Deen; Ramona Woitek; Laura Mt Lechermann; Mary A McLean; Bristi Basu; Ferdia A Gallagher
Journal:  Br J Radiol       Date:  2018-01-19       Impact factor: 3.039

6.  Voxelwise analysis of simultaneously acquired and spatially correlated 18 F-fluorodeoxyglucose (FDG)-PET and intravoxel incoherent motion metrics in breast cancer.

Authors:  Jason Ostenson; Akshat C Pujara; Artem Mikheev; Linda Moy; Sungheon G Kim; Amy N Melsaether; Komal Jhaveri; Sylvia Adams; David Faul; Christopher Glielmi; Christian Geppert; Thorsten Feiweier; Kimberly Jackson; Gene Y Cho; Fernando E Boada; Eric E Sigmund
Journal:  Magn Reson Med       Date:  2016-10-25       Impact factor: 4.668

Review 7.  Competitive advantage of PET/MRI.

Authors:  Hossein Jadvar; Patrick M Colletti
Journal:  Eur J Radiol       Date:  2013-06-18       Impact factor: 3.528

8.  Voxel-wise correlation of functional imaging parameters in HNSCC patients receiving PET/MRI in an irradiation setup.

Authors:  Kerstin Zwirner; Daniela Thorwarth; René M Winter; Stefan Welz; Jakob Weiss; Nina F Schwenzer; Holger Schmidt; Christian la Fougère; Konstantin Nikolaou; Daniel Zips; Sergios Gatidis
Journal:  Strahlenther Onkol       Date:  2018-03-21       Impact factor: 3.621

9.  Multimodality molecular imaging of the lung.

Authors:  Delphine L Chen; Paul E Kinahan
Journal:  Clin Transl Imaging       Date:  2014-10-16

10.  Thoracic staging with 18F-FDG PET/MR in non-small cell lung cancer - does it change therapeutic decisions in comparison to 18F-FDG PET/CT?

Authors:  Benedikt M Schaarschmidt; Johannes Grueneisen; Martin Metzenmacher; Benedikt Gomez; Thomas Gauler; Christian Roesel; Philipp Heusch; Verena Ruhlmann; Lale Umutlu; Gerald Antoch; Christian Buchbender
Journal:  Eur Radiol       Date:  2016-05-14       Impact factor: 5.315

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