Literature DB >> 22955547

Discrimination and anatomical mapping of PET-positive lesions: comparison of CT attenuation-corrected PET images with coregistered MR and CT images in the abdomen.

Felix P Kuhn1, David W Crook, Caecilia E Mader, Philippe Appenzeller, G K von Schulthess, Daniel T Schmid.   

Abstract

PURPOSE: PET/MR has the potential to become a powerful tool in clinical oncological imaging. The purpose of this prospective study was to evaluate the performance of a single T1-weighted (T1w) fat-suppressed unenhanced MR pulse sequence of the abdomen in comparison with unenhanced low-dose CT images to characterize PET-positive lesions.
METHODS: A total of 100 oncological patients underwent sequential whole-body (18)F-FDG PET with CT-based attenuation correction (AC), 40 mAs low-dose CT and two-point Dixon-based T1w 3D MRI of the abdomen in a trimodality PET/CT-MR system. PET-positive lesions were assessed by CT and MRI with regard to their anatomical location, conspicuity and additional relevant information for characterization.
RESULTS: From among 66 patients with at least one PET-positive lesion, 147 lesions were evaluated. No significant difference between MRI and CT was found regarding anatomical lesion localization. The MR pulse sequence used performed significantly better than CT regarding conspicuity of liver lesions (p < 0.001, Wilcoxon signed ranks test), whereas no difference was noted for extrahepatic lesions. For overall lesion characterization, MRI was considered superior to CT in 40 % of lesions, equal to CT in 49 %, and inferior to CT in 11 %.
CONCLUSION: Fast Dixon-based T1w MRI outperformed low-dose CT in terms of conspicuity and characterization of PET-positive liver lesions and performed similarly in extrahepatic tumour manifestations. Hence, under the assumption that the technical issue of MR AC for whole-body PET examinations is solved, in abdominal PET/MR imaging the replacement of low-dose CT by a single Dixon-based MR pulse sequence for anatomical lesion correlation appears to be valid and robust.

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Year:  2012        PMID: 22955547     DOI: 10.1007/s00259-012-2236-3

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  31 in total

Review 1.  Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques.

Authors:  Matthias Hofmann; Bernd Pichler; Bernhard Schölkopf; Thomas Beyer
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-03       Impact factor: 9.236

2.  Whole-body hybrid PET/MRI: ready for clinical use?

Authors:  Osman Ratib; Thomas Beyer
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-06       Impact factor: 9.236

3.  MRI-based attenuation correction for PET/MRI using ultrashort echo time sequences.

Authors:  Vincent Keereman; Yves Fierens; Tom Broux; Yves De Deene; Max Lonneux; Stefaan Vandenberghe
Journal:  J Nucl Med       Date:  2010-05       Impact factor: 10.057

Review 4.  Applications of arterial spin labeled MRI in the brain.

Authors:  John A Detre; Hengyi Rao; Danny J J Wang; Yu Fen Chen; Ze Wang
Journal:  J Magn Reson Imaging       Date:  2012-01-13       Impact factor: 4.813

5.  Toward implementing an MRI-based PET attenuation-correction method for neurologic studies on the MR-PET brain prototype.

Authors:  Ciprian Catana; Andre van der Kouwe; Thomas Benner; Christian J Michel; Michael Hamm; Matthias Fenchel; Bruce Fischl; Bruce Rosen; Matthias Schmand; A Gregory Sorensen
Journal:  J Nucl Med       Date:  2010-09       Impact factor: 10.057

6.  Integrating imaging modalities: what makes sense from a workflow perspective?

Authors:  Gustav K von Schulthess; Cyrill Burger
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-02-06       Impact factor: 9.236

7.  Optically transmitted and inductively coupled electric reference to access in vivo concentrations for quantitative proton-decoupled ¹³C magnetic resonance spectroscopy.

Authors:  Xing Chen; Matteo Pavan; Susanne Heinzer-Schweizer; Peter Boesiger; Anke Henning
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Review 8.  Advanced MRI and PET imaging for assessment of treatment response in patients with gliomas.

Authors:  Frederic G Dhermain; Peter Hau; Heinrich Lanfermann; Andreas H Jacobs; Martin J van den Bent
Journal:  Lancet Neurol       Date:  2010-08-10       Impact factor: 44.182

Review 9.  Molecular imaging of cancer: MR spectroscopy and beyond.

Authors:  K Pinker; A Stadlbauer; W Bogner; S Gruber; T H Helbich
Journal:  Eur J Radiol       Date:  2010-06-04       Impact factor: 3.528

Review 10.  Metabolic and molecular imaging in neuro-oncology.

Authors:  Karl Herholz; David Coope; Alan Jackson
Journal:  Lancet Neurol       Date:  2007-08       Impact factor: 44.182

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  13 in total

Review 1.  PET/MR in prostate cancer: technical aspects and potential diagnostic value.

Authors:  Michael Souvatzoglou; Matthias Eiber; Axel Martinez-Moeller; Sebastian Fürst; Konstantin Holzapfel; Tobias Maurer; Sibylle Ziegler; Stephan Nekolla; Markus Schwaiger; Ambros J Beer
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-05-24       Impact factor: 9.236

Review 2.  Clinical oncologic applications of PET/MRI: a new horizon.

Authors:  Sasan Partovi; Andres Kohan; Christian Rubbert; Jose Luis Vercher-Conejero; Chiara Gaeta; Roger Yuh; Lisa Zipp; Karin A Herrmann; Mark R Robbin; Zhenghong Lee; Raymond F Muzic; Peter Faulhaber; Pablo R Ros
Journal:  Am J Nucl Med Mol Imaging       Date:  2014-03-20

Review 3.  PET-MR imaging using a tri-modality PET/CT-MR system with a dedicated shuttle in clinical routine.

Authors:  Patrick Veit-Haibach; Felix Pierre Kuhn; Florian Wiesinger; Gaspar Delso; Gustav von Schulthess
Journal:  MAGMA       Date:  2012-10-09       Impact factor: 2.310

4.  Use of diffusion-weighted imaging (DWI) in PET/MRI for head and neck cancer evaluation.

Authors:  Marcelo A Queiroz; Martin Hüllner; Felix Kuhn; Gerhardt Huber; Christian Meerwein; Spyros Kollias; Gustav von Schulthess; Patrick Veit-Haibach
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-08-05       Impact factor: 9.236

5.  Integrated whole-body PET/MRI with 18F-FDG, 18F-FDOPA, and 18F-FDA in paragangliomas in comparison with PET/CT: NIH first clinical experience with a single-injection, dual-modality imaging protocol.

Authors:  Elise M Blanchet; Corina Millo; Victoria Martucci; Roberto Maass-Moreno; David A Bluemke; Karel Pacak
Journal:  Clin Nucl Med       Date:  2014-03       Impact factor: 7.794

6.  PET/MRI and PET/CT in advanced gynaecological tumours: initial experience and comparison.

Authors:  Marcelo A Queiroz; Rahel A Kubik-Huch; Nik Hauser; Bianka Freiwald-Chilla; Gustav von Schulthess; Johannes M Froehlich; Patrick Veit-Haibach
Journal:  Eur Radiol       Date:  2015-05-29       Impact factor: 5.315

7.  PET/MRI and PET/CT in follow-up of head and neck cancer patients.

Authors:  Marcelo A Queiroz; Martin Hüllner; Felix Kuhn; Gerhardt Huber; Christian Meerwein; Spyros Kollias; Gustav von Schulthess; Patrick Veit-Haibach
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-02-28       Impact factor: 9.236

8.  Comparison of Whole-Body (18)F FDG PET/MR Imaging and Whole-Body (18)F FDG PET/CT in Terms of Lesion Detection and Radiation Dose in Patients with Breast Cancer.

Authors:  Amy N Melsaether; Roy A Raad; Akshat C Pujara; Fabio D Ponzo; Kristine M Pysarenko; Komal Jhaveri; James S Babb; Eric E Sigmund; Sungheon G Kim; Linda A Moy
Journal:  Radiology       Date:  2016-03-29       Impact factor: 11.105

9.  Standardized Uptake Values from PET/MRI in Metastatic Breast Cancer: An Organ-based Comparison With PET/CT.

Authors:  Akshat C Pujara; Roy A Raad; Fabio Ponzo; Carolyn Wassong; James S Babb; Linda Moy; Amy N Melsaether
Journal:  Breast J       Date:  2016-02-04       Impact factor: 2.431

10.  Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision.

Authors:  Pengjiang Qian; Jiamin Zheng; Qiankun Zheng; Yuan Liu; Tingyu Wang; Rose Al Helo; Atallah Baydoun; Norbert Avril; Rodney J Ellis; Harry Friel; Melanie S Traughber; Ajit Devaraj; Bryan Traughber; Raymond F Muzic
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2021-02-03       Impact factor: 3.710

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