Dopaminergic PET to SPECT domain adaptation: a cycle GAN translation approach.

Autor: Lopes L; Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland.; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland., Jiao F; Department of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, 200235, China., Xue S; Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland.; Department of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria., Pyka T; Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland.; TUM School of Medicine, Technical University of Munich, Munich, Germany., Krieger K; Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland., Ge J; Department of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, 200235, China.; National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China., Xu Q; Department of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, 200235, China.; National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China., Fahmi R; Siemens Medical Solutions USA, Inc., Molecular Imaging, Knoxville, TN, USA., Spottiswoode B; Siemens Medical Solutions USA, Inc., Molecular Imaging, Knoxville, TN, USA., Soliman A; Siemens Medical Solutions USA, Inc., Molecular Imaging, Knoxville, TN, USA., Buchert R; Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Brendel M; Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany., Hong J; Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland.; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland., Guan Y; Department of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, 200235, China.; National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China., Bassetti CLA; Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland., Rominger A; Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland., Zuo C; Department of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, 200235, China.; National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China., Shi K; Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, Bern, 3010, Switzerland. kuangyu.shi@unibe.ch.; Department of Informatics, Technical University of Munich, Munich, Germany. kuangyu.shi@unibe.ch., Wu P; Department of Nuclear Medicine / PET Center, Huashan Hospital, Fudan University, Shanghai, 200235, China. wupingpet@fudan.edu.cn.; National Center for Neurological Disorders & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China. wupingpet@fudan.edu.cn.
Jazyk: angličtina
Zdroj: European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2024 Nov 19. Date of Electronic Publication: 2024 Nov 19.
DOI: 10.1007/s00259-024-06961-x
Abstrakt: Purpose: Dopamine transporter imaging is routinely used in Parkinson's disease (PD) and atypical parkinsonian syndromes (APS) diagnosis. While [ 11 C]CFT PET is prevalent in Asia with a large APS database, Europe relies on [ 123 I]FP-CIT SPECT with limited APS data. Our aim was to develop a deep learning-based method to convert [ 11 C]CFT PET images to [ 123 I]FP-CIT SPECT images, facilitating multicenter studies and overcoming data scarcity to promote Artificial Intelligence (AI) advancements.
Methods: A CycleGAN was trained on [ 11 C]CFT PET (n = 602, 72%PD) and [ 123 I]FP-CIT SPECT (n = 1152, 85%PD) images from PD and non-parkinsonian control (NC) subjects. The model generated synthetic SPECT images from a real PET test set (n = 67, 75%PD). Synthetic images were quantitatively and visually evaluated.
Results: Fréchet Inception Distance indicated higher similarity between synthetic and real SPECT than between synthetic SPECT and real PET. A deep learning classification model trained on synthetic SPECT achieved sensitivity of 97.2% and specificity of 90.0% on real SPECT images. Striatal specific binding ratios of synthetic SPECT were not significantly different from real SPECT. The striatal left-right differences and putamen binding ratio were significantly different only in the PD cohort. Real PET and real SPECT had higher contrast-to-noise ratio compared to synthetic SPECT. Visual grading analysis scores showed no significant differences between real and synthetic SPECT, although reduced diagnostic performance on synthetic images was observed.
Conclusion: CycleGAN generated synthetic SPECT images visually indistinguishable from real ones and retained disease-specific information, demonstrating the feasibility of translating [ 11 C]CFT PET to [ 123 I]FP-CIT SPECT. This cross-modality synthesis could enhance further AI classification accuracy, supporting the diagnosis of PD and APS.
Competing Interests: Declarations Ethics approval and consent to participate Study protocols were approved by the ethics committee of Huashan Hospital, and voluntary informed consent was obtained from each subject or their caregivers after an explanation of the procedures, according to the Declaration of Helsinki. Consent for publication Each subject or their caregivers offered written consent for publication and no personal information was presented in the current paper. Competing interests MB received speaker honoraria from GE healthcare, Roche and LMI and is an advisor of LMI. BS, RF and AS are full-time employees of Siemens Medical Solutions USA, Inc. KS receives research grants from Novartis and Siemens Healthineers, and sponsorships from Novartis, Siemens Healthineers, Hermes Medical Solution, DosiSoft, Varian, THQ Medical Products, QDose, PMOD, Boston Scientific, SIRTEX, MIM Software, and the ICPO Foundation. KS and AR are editors of the European Journal of Nuclear Medicine and Molecular Imaging.
(© 2024. The Author(s).)
Databáze: MEDLINE
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