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Relevant bibliographies by topics / Multi-tracer PET imaging

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Academic literature on the topic 'Multi-tracer PET imaging'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Multi-tracer PET imaging"

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Mahmutovic Persson, Irma, Nina Fransén Pettersson, Jian Liu, et al. "Longitudinal Imaging Using PET/CT with Collagen-I PET-Tracer and MRI for Assessment of Fibrotic and Inflammatory Lesions in a Rat Lung Injury Model." Journal of Clinical Medicine 9, no. 11 (2020): 3706. http://dx.doi.org/10.3390/jcm9113706.

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Non-invasive imaging biomarkers (IBs) are warranted to enable improved diagnostics and follow-up monitoring of interstitial lung disease (ILD) including drug-induced ILD (DIILD). Of special interest are IB, which can characterize and differentiate acute inflammation from fibrosis. The aim of the present study was to evaluate a PET-tracer specific for Collagen-I, combined with multi-echo MRI, in a rat model of DIILD. Rats were challenged intratracheally with bleomycin, and subsequently followed by MRI and PET/CT for four weeks. PET imaging demonstrated a significantly increased uptake of the co

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Fontana, Igor C., Miriam Scarpa, Mona-Lisa Malarte, et al. "Astrocyte Signature in Alzheimer’s Disease Continuum through a Multi-PET Tracer Imaging Perspective." Cells 12, no. 11 (2023): 1469. http://dx.doi.org/10.3390/cells12111469.

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Reactive astrogliosis is an early event in the continuum of Alzheimer’s disease (AD). Current advances in positron emission tomography (PET) imaging provide ways of assessing reactive astrogliosis in the living brain. In this review, we revisit clinical PET imaging and in vitro findings using the multi-tracer approach, and point out that reactive astrogliosis precedes the deposition of Aβ plaques, tau pathology, and neurodegeneration in AD. Furthermore, considering the current view of reactive astrogliosis heterogeneity—more than one subtype of astrocyte involved—in AD, we discuss how astrocyt

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Lyduine, E. Collij, Heeman Fiona, Salvadó Gemma, et al. "Multi-tracer model for staging cortical amyloid deposition using PET imaging." Neurology 95, no. 11 (2020): 1538–53. https://doi.org/10.1212/WNL.0000000000010256.

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<strong>Abstract</strong> Objective: To develop and evaluate a model for staging cortical amyloid deposition using PET with high generalizability. Methods: Three thousand twenty-seven individuals (1,763 cognitively unimpaired [CU], 658 impaired, 467 with Alzheimer disease [AD] dementia, 111 with non-AD dementia, and 28 with missing diagnosis) from 6 cohorts (European Medical Information Framework for AD, Alzheimer's and Family, Alzheimer's Biomarkers in Daily Practice, Amsterdam Dementia Cohort, Open Access Series of Imaging Studies [OASIS]-3, Alzheimer's Disease Neuroima

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Aboian, Mariam, Vahid Ravanfar, Emma Bahroos, et al. "MLTI-18. PRECISION IMAGING OF METASTATIC AND PRIMARY BRAIN TUMORS AFTER RADIATION WITH 18F-FDOPA PET-MRI IS FEASIBLE AND COST EFFECT." Neuro-Oncology Advances 1, Supplement_1 (2019): i18. http://dx.doi.org/10.1093/noajnl/vdz014.077.

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Abstract PURPOSE: Post-radiation changes in the brain can mimic tumor recurrence on MRI, requiring multiple short term follow-ups to differentiate tumor progression from radiation necrosis. We propose combining functional and anatomic imaging with FDOPA PET tracer in hybrid PET-MRI to improve detection of tumor recurrence. MATERIALS AND METHODS: Seventeen adult patients treated with radiation therapy were identified - four with metastatic disease from breast and lung cancer and thirteen with primary brain glioma (11 IDH wildtype glioblastoma and 2 astrocytoma). Patients were scanned on hybrid

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Haslop, Anna, Lisa Wells, Antony Gee, Christophe Plisson, and Nicholas Long. "One-Pot Multi-Tracer Synthesis of Novel 18F-Labeled PET Imaging Agents." Molecular Pharmaceutics 11, no. 11 (2014): 3818–22. http://dx.doi.org/10.1021/mp500324n.

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Ozsahin, Ilker, Efe Precious Onakpojeruo, Berna Uzun, Dilber Uzun Ozsahin, and Tracy A. Butler. "A Multi-Criteria Decision Aid Tool for Radiopharmaceutical Selection in Tau PET Imaging." Pharmaceutics 15, no. 4 (2023): 1304. http://dx.doi.org/10.3390/pharmaceutics15041304.

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The accumulation of pathologically misfolded tau is a feature shared by a group of neurodegenerative disorders collectively referred to as tauopathies. Alzheimer’s disease (AD) is the most prevalent of these tauopathies. Immunohistochemical evaluation allows neuropathologists to visualize paired-helical filaments (PHFs)—tau pathological lesions, but this is possible only after death and only shows tau in the portion of brain sampled. Positron emission tomography (PET) imaging allows both the quantitative and qualitative analysis of pathology over the whole brain of a living subject. The abilit

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Cheng, Xiaoyin, Zhoulei Li, Zhen Liu, et al. "Direct Parametric Image Reconstruction in Reduced Parameter Space for Rapid Multi-Tracer PET Imaging." IEEE Transactions on Medical Imaging 34, no. 7 (2015): 1498–512. http://dx.doi.org/10.1109/tmi.2015.2403300.

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Zinnhardt, Bastian, Hayet Pigeon, Benoit Thézé, et al. "Combined PET imaging of the inflammatory tumor microenvironment identifies margins of unique radiotracer uptake." Cancer Research 77, no. 8 (2017): 1831–41. https://doi.org/10.1158/0008-5472.CAN-16-2628.

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The tumor microenvironment is highly heterogeneous. For gliomas, the tumor-associated inflammatory response is pivotal to support growth and invasion. Factors of glioma growth, inflammation, and invasion, such as the translocator protein (TSPO) and matrix metalloproteinases (MMP), may serve as specific imaging biomarkers of the glioma microenvironment. In this study, non-invasive imaging by positron emission tomography (PET) with [<sup>18</sup>F]DPA-714 (TSPO) and [<sup>18</sup>F]BR-351 (MMP) was used for assessment of localization and quantification of the expression of TSPO and MMP. Imaging

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Urso, Luca, Luca Filippi, Angelo Castello, et al. "PSMA PET/CT in Castration-Resistant Prostate Cancer: Myth or Reality?" Journal of Clinical Medicine 12, no. 22 (2023): 7130. http://dx.doi.org/10.3390/jcm12227130.

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Background: prostate-specific membrane antigen (PSMA) ligand PET has been recently incorporated into international guidelines for several different indications in prostate cancer (PCa) patients. However, there are still some open questions regarding the role of PSMA ligand PET in castration-resistant prostate cancer (CRPC). The aim of this work is to assess the clinical value of PSMA ligand PET/CT in patients with CRPC. Results: PSMA ligand PET has demonstrated higher detection rates in comparison to conventional imaging and allows for a significant reduction in the number of M0 CRPC patients.

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Chiotis, Konstantinos, Laure Saint-Aubert, Irina Savitcheva, et al. "Imaging in-vivo tau pathology in Alzheimer's disease with THK5317 PET in a multimodal paradigm." Eur J Nucl Med Mol Imaging 43, no. 9 (2016): 1686–99. https://doi.org/10.1007/s00259-016-3363-z.

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PURPOSE: The aim of this study was to explore the cerebral distribution of the tau-specific PET tracer [(18)F]THK5317 (also known as (S)-[(18)F]THK5117) retention in different stages of Alzheimer's disease; and study any associations with markers of hypometabolism and amyloid-beta deposition. METHODS: Thirty-three individuals were enrolled, including nine patients with Alzheimer's disease dementia, thirteen with mild cognitive impairment (MCI), two with non-Alzheimer's disease dementia, and nine healthy controls (five young and four elderly). In a multi-tracer PET design [(18)

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Book chapters on the topic "Multi-tracer PET imaging"

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Wardak, Mirwais, Sarah M. Hooper, Christiaan Schiepers, et al. "Multi-tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade Gliomas." In Predictive Intelligence in Medicine. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16919-9_3.

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Barthel Henryk and Sabri Osama. "Florbetaben to Trace Amyloid-β in the Alzheimer Brain by Means of PET." In Advances in Alzheimer’s Disease. IOS Press, 2011. https://doi.org/10.3233/978-1-60750-793-2-247.

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PET imaging of amyloid-&beta; has recently emerged as a valuable biomarker to support the in vivo diagnosis of Alzheimer's disease (AD). So far, however, no tracer is available suitable for general clinical routine application. Florbetaben is a promising18F-labeled amyloid-&beta;-targeted PET tracer currently in Phase2/3 clinical development. This review provides an overview on the current knowledge and future research activities on florbetaben. Recently, the first worldwide multi-center trial to test the diagnostic performance of amyloid-&beta; PET in AD was conducted with this tr

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Goldman, Jean-Philippe, Pablo Jané, Jamil Zaghir, et al. "Automatic Classification of Conclusions from Multi-Tracer Reports of PET Brain Imaging in Cognitive Impairment." In Studies in Health Technology and Informatics. IOS Press, 2024. http://dx.doi.org/10.3233/shti240476.

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The goal of this paper is to build an automatic way to interpret conclusions from brain molecular imaging reports performed for investigation of cognitive disturbances (FDG, Amyloid and Tau PET) by comparing several traditional machine learning (ML) techniques-based text classification methods. Two purposes are defined: to identify positive or negative results in all three modalities, and to extract diagnostic impressions for Alzheimer’s Disease (AD), Fronto-Temporal Dementia (FTD), Lewy Bodies Dementia (LBD) based on metabolism of perfusion patterns. A dataset was created by manual parallel a

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Conference papers on the topic "Multi-tracer PET imaging"

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Zhong, Wenjin, Cong Cong, Ghasem Azemi, Mehnaz Tabassum, Antonio Di Ieva, and Sidong Liu. "Multi-Sequence MRI to Multi-Tracer Pet Generation via Diffusion Model." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10981101.

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Foster, J. W., W. He, G. Chinn, and C. Levin. "Simulation and Detector Measurements of a Small Animal PET System for Simultaneous Multi-Tracer Imaging." In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). IEEE, 2024. http://dx.doi.org/10.1109/nss/mic/rtsd57108.2024.10658301.

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Ellis, Sam, Andrew Mallia, Colm J. McGinnity, Gary J. R. Cook, and Andrew J. Reader. "Guided Image Reconstruction for Multi-Tracer PET." In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2017. http://dx.doi.org/10.1109/nssmic.2017.8533140.

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Lieffrig, Eléonore V., Tianyi Zeng, Jiazhen Zhang, et al. "Multi-tracer Deep Learning for PET Head Motion Correction." In 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2022. http://dx.doi.org/10.1109/nss/mic44845.2022.10399143.

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David, S., M. Hatt, N. Boussion, et al. "Multi-tracer PET image fusion using fuzzy theory: A feasibility study." In 2009 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2009). IEEE, 2009. http://dx.doi.org/10.1109/nssmic.2009.5401872.

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Slagmolen, Pieter, Sarah Roels, Dirk Loeckx, Karin Haustermans, and Frederik Maes. "Validation of nonrigid registration for multi-tracer PET-CT treatment planning in rectal cancer radiotherapy." In SPIE Medical Imaging, edited by Josien P. W. Pluim and Benoit M. Dawant. SPIE, 2009. http://dx.doi.org/10.1117/12.812222.

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Cho, M. J., H. S. Shim, and J. S. Lee. "Generation of multi-tracer PET attenuation maps using zero-shot learning." In 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD). IEEE, 2023. http://dx.doi.org/10.1109/nssmicrtsd49126.2023.10338118.

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Black, Noel F., and Dan J. Kadrmas. "Measurement of secondary tracers in FDG tumor imaging by rapid multi-tracer PET." In 2007 IEEE Nuclear Science Symposium Conference Record. IEEE, 2007. http://dx.doi.org/10.1109/nssmic.2007.4436725.

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Jafaritadi, M., H. Duan, G. Chinn, F. Moradi, and C. S. Levin. "Multi-Tracer PET Image Synthesis in Prostate Cancer using Generative Deep Learning." In 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD). IEEE, 2023. http://dx.doi.org/10.1109/nssmicrtsd49126.2023.10338614.

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Kotasidis, Fotis A., Nicolas A. Karakatsanis, Abolfazl Mehranian, and Habib Zaidi. "Multi-bed tracer kinetic imaging of micro-parameters from dynamic time-of-flight PET data." In 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2015. http://dx.doi.org/10.1109/nssmic.2015.7582179.

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