Literature DB >> 30269154

Dynamic whole-body PET imaging: principles, potentials and applications.

Arman Rahmim1,2, Martin A Lodge3, Nicolas A Karakatsanis4, Vladimir Y Panin5, Yun Zhou3, Alan McMillan6, Steve Cho6, Habib Zaidi7, Michael E Casey5, Richard L Wahl8.   

Abstract

PURPOSE: In this article, we discuss dynamic whole-body (DWB) positron emission tomography (PET) as an imaging tool with significant clinical potential, in relation to conventional standard uptake value (SUV) imaging.
BACKGROUND: DWB PET involves dynamic data acquisition over an extended axial range, capturing tracer kinetic information that is not available with conventional static acquisition protocols. The method can be performed within reasonable clinical imaging times, and enables generation of multiple types of PET images with complementary information in a single imaging session. Importantly, DWB PET can be used to produce multi-parametric images of (i) Patlak slope (influx rate) and (ii) intercept (referred to sometimes as "distribution volume"), while also providing (iii) a conventional 'SUV-equivalent' image for certain protocols.
RESULTS: We provide an overview of ongoing efforts (primarily focused on FDG PET) and discuss potential clinically relevant applications.
CONCLUSION: Overall, the framework of DWB imaging [applicable to both PET/CT(computed tomography) and PET/MRI (magnetic resonance imaging)] generates quantitative measures that may add significant value to conventional SUV image-derived measures, with limited pitfalls as we also discuss in this work.

Entities:  

Keywords:  Dynamic; Kinetic modeling; PET; Parametric imaging; Systemic disease; Whole-body

Mesh:

Year:  2018        PMID: 30269154     DOI: 10.1007/s00259-018-4153-6

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


  143 in total

1.  Parametric imaging: a promising approach for the evaluation of dynamic PET-18F-FDG studies - the DKFZ experience.

Authors:  Antonia Dimitrakopoulou-Strauss; Leyun Pan; Ludwig G Strauss
Journal:  Hell J Nucl Med       Date:  2010 Jan-Apr       Impact factor: 1.102

2.  Comparison of 2-dimensional and 3-dimensional acquisition for 18F-FDG PET oncology studies performed on an LSO-based scanner.

Authors:  Martin A Lodge; Ramsey D Badawi; Richard Gilbert; Pablo E Dibos; Bruce R Line
Journal:  J Nucl Med       Date:  2006-01       Impact factor: 10.057

3.  Benefit of time-of-flight in PET: experimental and clinical results.

Authors:  Joel S Karp; Suleman Surti; Margaret E Daube-Witherspoon; Gerd Muehllehner
Journal:  J Nucl Med       Date:  2008-02-20       Impact factor: 10.057

Review 4.  Heart-Brain Axis: Effects of Neurologic Injury on Cardiovascular Function.

Authors:  Pouya Tahsili-Fahadan; Romergryko G Geocadin
Journal:  Circ Res       Date:  2017-02-03       Impact factor: 17.367

Review 5.  Motion correction options in PET/MRI.

Authors:  Ciprian Catana
Journal:  Semin Nucl Med       Date:  2015-05       Impact factor: 4.446

6.  Measurement of clinical and subclinical tumour response using [18F]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendations. European Organization for Research and Treatment of Cancer (EORTC) PET Study Group.

Authors:  H Young; R Baum; U Cremerius; K Herholz; O Hoekstra; A A Lammertsma; J Pruim; P Price
Journal:  Eur J Cancer       Date:  1999-12       Impact factor: 9.162

7.  Repeatability of gallium-68 DOTATOC positron emission tomographic imaging in neuroendocrine tumors.

Authors:  Yusuf Menda; Laura L Boles Ponto; Michael K Schultz; Gideon K D Zamba; G Leonard Watkins; David L Bushnell; Mark T Madsen; John J Sunderland; Michael M Graham; Thomas M O'Dorisio; M Sue O'Dorisio
Journal:  Pancreas       Date:  2013-08       Impact factor: 3.327

Review 8.  Measuring response with FDG-PET: methodological aspects.

Authors:  Martin Allen-Auerbach; Wolfgang A Weber
Journal:  Oncologist       Date:  2009-04-08

9.  Dynamic whole-body PET parametric imaging: II. Task-oriented statistical estimation.

Authors:  Nicolas A Karakatsanis; Martin A Lodge; Y Zhou; Richard L Wahl; Arman Rahmim
Journal:  Phys Med Biol       Date:  2013-09-30       Impact factor: 3.609

10.  Generalized whole-body Patlak parametric imaging for enhanced quantification in clinical PET.

Authors:  Nicolas A Karakatsanis; Yun Zhou; Martin A Lodge; Michael E Casey; Richard L Wahl; Habib Zaidi; Arman Rahmim
Journal:  Phys Med Biol       Date:  2015-10-28       Impact factor: 3.609

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  33 in total

1.  Clinical perspectives for the use of total body PET/CT.

Authors:  Ronan Abgral; David Bourhis; Pierre-Yves Salaun
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-06       Impact factor: 9.236

2.  Impact of Tissue Classification in MRI-Guided Attenuation Correction on Whole-Body Patlak PET/MRI.

Authors:  Mingzan Zhuang; Nicolas A Karakatsanis; Rudi A J O Dierckx; Habib Zaidi
Journal:  Mol Imaging Biol       Date:  2019-12       Impact factor: 3.488

3.  Imager-4D: New Software for Viewing Dynamic PET Scans and Extracting Radiomic Parameters from PET Data.

Authors:  Steven P Rowe; Lilja B Solnes; Yafu Yin; Grant Kitchen; Martin A Lodge; Nicolas A Karakatsanis; Arman Rahmim; Martin G Pomper; Jeffrey P Leal
Journal:  J Digit Imaging       Date:  2019-12       Impact factor: 4.056

4.  Roadmap toward the 10 ps time-of-flight PET challenge.

Authors:  Paul Lecoq; Christian Morel; John O Prior; Dimitris Visvikis; Stefan Gundacker; Etiennette Auffray; Peter Križan; Rosana Martinez Turtos; Dominique Thers; Edoardo Charbon; Joao Varela; Christophe de La Taille; Angelo Rivetti; Dominique Breton; Jean-François Pratte; Johan Nuyts; Suleman Surti; Stefaan Vandenberghe; Paul Marsden; Katia Parodi; Jose Maria Benlloch; Mathieu Benoit
Journal:  Phys Med Biol       Date:  2020-10-22       Impact factor: 3.609

Review 5.  Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods.

Authors:  Tonghe Wang; Yang Lei; Yabo Fu; Walter J Curran; Tian Liu; Jonathon A Nye; Xiaofeng Yang
Journal:  Phys Med       Date:  2020-07-29       Impact factor: 2.685

6.  Whole-body PET estimation from low count statistics using cycle-consistent generative adversarial networks.

Authors:  Yang Lei; Xue Dong; Tonghe Wang; Kristin Higgins; Tian Liu; Walter J Curran; Hui Mao; Jonathon A Nye; Xiaofeng Yang
Journal:  Phys Med Biol       Date:  2019-11-04       Impact factor: 3.609

7.  Does whole-body Patlak 18F-FDG PET imaging improve lesion detectability in clinical oncology?

Authors:  Guillaume Fahrni; Nicolas A Karakatsanis; Giulia Di Domenicantonio; Valentina Garibotto; Habib Zaidi
Journal:  Eur Radiol       Date:  2019-01-28       Impact factor: 5.315

8.  ImmunoPET: Concept, Design, and Applications.

Authors:  Weijun Wei; Zachary T Rosenkrans; Jianjun Liu; Gang Huang; Quan-Yong Luo; Weibo Cai
Journal:  Chem Rev       Date:  2020-03-23       Impact factor: 60.622

9.  Clinical feasibility and impact of fully automated multiparametric PET imaging using direct Patlak reconstruction: evaluation of 103 dynamic whole-body 18F-FDG PET/CT scans.

Authors:  Ole L Munk; Lars C Gormsen; André H Dias; Mette F Pedersen; Helle Danielsen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-09-07       Impact factor: 9.236

10.  Total-Body Dynamic Reconstruction and Parametric Imaging on the uEXPLORER.

Authors:  Xuezhu Zhang; Zhaoheng Xie; Eric Berg; Martin S Judenhofer; Weiping Liu; Tianyi Xu; Yu Ding; Yang Lv; Yun Dong; Zilin Deng; Songsong Tang; Hongcheng Shi; Pengcheng Hu; Shuguang Chen; Jun Bao; Hongdi Li; Jian Zhou; Guobao Wang; Simon R Cherry; Ramsey D Badawi; Jinyi Qi
Journal:  J Nucl Med       Date:  2019-07-13       Impact factor: 10.057

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