Literature DB >> 29164924

Towards enhanced PET quantification in clinical oncology.

Habib Zaidi1,2,3,4, Nicolas Karakatsanis5,6.   

Abstract

Positron emission tomography (PET) has, since its inception, established itself as the imaging modality of choice for the in vivo quantitative assessment of molecular targets in a wide range of biochemical processes underlying tumour physiology. PET image quantification enables to ascertain a direct link between the time-varying activity concentration in organs/tissues and the fundamental parameters portraying the biological processes at the cellular level being assessed. However, the quantitative potential of PET may be affected by a number of factors related to physical effects, hardware and software system specifications, tracer kinetics, motion, scan protocol design and limitations in current image-derived PET metrics. Given the relatively large number of PET metrics reported in the literature, the selection of the best metric for fulfilling a specific task in a particular application is still a matter of debate. Quantitative PET has advanced elegantly during the last two decades and is now reaching the maturity required for clinical exploitation, particularly in oncology where it has the capability to open many avenues for clinical diagnosis, assessment of response to treatment and therapy planning. Therefore, the preservation and further enhancement of the quantitative features of PET imaging is crucial to ensure that the full clinical value of PET imaging modality is utilized in clinical oncology. Recent advancements in PET technology and methodology have paved the way for faster PET acquisitions of enhanced sensitivity to support the clinical translation of highly quantitative four-dimensional (4D) parametric imaging methods in clinical oncology. In this report, we provide an overview of recent advances and future trends in quantitative PET imaging in the context of clinical oncology. The pros/cons of the various image-derived PET metrics will be discussed and the promise of novel methodologies will be highlighted.

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Year:  2017        PMID: 29164924      PMCID: PMC6049841          DOI: 10.1259/bjr.20170508

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  83 in total

1.  Instrumentation factors affecting variance and bias of quantifying tracer uptake with PET/CT.

Authors:  R K Doot; J S Scheuermann; P E Christian; J S Karp; P E Kinahan
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

Review 2.  PET kinetic analysis--compartmental model.

Authors:  Hiroshi Watabe; Yoko Ikoma; Yuichi Kimura; Mika Naganawa; Miho Shidahara
Journal:  Ann Nucl Med       Date:  2006-11       Impact factor: 2.668

Review 3.  Oncologic PET tracers beyond [(18)F]FDG and the novel quantitative approaches in PET imaging.

Authors:  R Kumar; H Dhanpathi; S Basu; D Rubello; S Fanti; A Alavi
Journal:  Q J Nucl Med Mol Imaging       Date:  2008-03       Impact factor: 2.346

Review 4.  Quantitative assessment of dynamic PET imaging data in cancer imaging.

Authors:  Mark Muzi; Finbarr O'Sullivan; David A Mankoff; Robert K Doot; Larry A Pierce; Brenda F Kurland; Hannah M Linden; Paul E Kinahan
Journal:  Magn Reson Imaging       Date:  2012-07-21       Impact factor: 2.546

5.  Impact of the definition of peak standardized uptake value on quantification of treatment response.

Authors:  Matt Vanderhoek; Scott B Perlman; Robert Jeraj
Journal:  J Nucl Med       Date:  2012-01       Impact factor: 10.057

Review 6.  Vision 20/20: Magnetic resonance imaging-guided attenuation correction in PET/MRI: Challenges, solutions, and opportunities.

Authors:  Abolfazl Mehranian; Hossein Arabi; Habib Zaidi
Journal:  Med Phys       Date:  2016-03       Impact factor: 4.071

7.  18F-FDG PET uptake characterization through texture analysis: investigating the complementary nature of heterogeneity and functional tumor volume in a multi-cancer site patient cohort.

Authors:  Mathieu Hatt; Mohamed Majdoub; Martin Vallières; Florent Tixier; Catherine Cheze Le Rest; David Groheux; Elif Hindié; Antoine Martineau; Olivier Pradier; Roland Hustinx; Remy Perdrisot; Remy Guillevin; Issam El Naqa; Dimitris Visvikis
Journal:  J Nucl Med       Date:  2014-12-11       Impact factor: 10.057

8.  Tumor Treatment Response Based on Visual and Quantitative Changes in Global Tumor Glycolysis Using PET-FDG Imaging. The Visual Response Score and the Change in Total Lesion Glycolysis.

Authors:  Steven M. Larson; Yusuf Erdi; Timothy Akhurst; Madhu Mazumdar; Homer A. Macapinlac; Ronald D. Finn; Cecille Casilla; Melissa Fazzari; Neil Srivastava; Henry W.D. Yeung; John L. Humm; Jose Guillem; Robert Downey; Martin Karpeh; Alfred E. Cohen; Robert Ginsberg
Journal:  Clin Positron Imaging       Date:  1999-05

9.  Direct 4-D PET list mode parametric reconstruction with a novel EM algorithm.

Authors:  Jianhua Yan; Beata Planeta-Wilson; Richard E Carson
Journal:  IEEE Trans Med Imaging       Date:  2012-08-23       Impact factor: 10.048

10.  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

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  24 in total

1.  Quantitative Analysis of Heterogeneous [18F]FDG Static (SUV) vs. Patlak (Ki) Whole-body PET Imaging Using Different Segmentation Methods: a Simulation Study.

Authors:  Mingzan Zhuang; Nicolas A Karakatsanis; Rudi A J O Dierckx; Habib Zaidi
Journal:  Mol Imaging Biol       Date:  2019-04       Impact factor: 3.488

Review 2.  Dynamic whole-body PET imaging: principles, potentials and applications.

Authors:  Arman Rahmim; Martin A Lodge; Nicolas A Karakatsanis; Vladimir Y Panin; Yun Zhou; Alan McMillan; Steve Cho; Habib Zaidi; Michael E Casey; Richard L Wahl
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-09-29       Impact factor: 9.236

3.  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

4.  Innovation in nuclear medicine instrumentation: looking back and moving forward.

Authors:  Habib Zaidi
Journal:  Br J Radiol       Date:  2018-01       Impact factor: 3.039

5.  Does simplified quantitative analysis of 18F-FDG PET in cardiac inflammatory disease work?

Authors:  R Nkoulou; H Zaidi
Journal:  J Nucl Cardiol       Date:  2018-01-17       Impact factor: 5.952

6.  Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network.

Authors:  Isaac Shiri; Hossein Arabi; Parham Geramifar; Ghasem Hajianfar; Pardis Ghafarian; Arman Rahmim; Mohammad Reza Ay; Habib Zaidi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-05-15       Impact factor: 9.236

7.  11C-Methionine PET/CT in patients with primary hyperparathyroidism and inconclusive pre-operative imaging work-up: diagnostic accuracy and role of semi-quantitative analysis.

Authors:  Daria Maccora; Carmelo Caldarella; Maria Lucia Calcagni
Journal:  Ann Nucl Med       Date:  2021-01-24       Impact factor: 2.668

8.  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

9.  Hybrid PET- and MR-driven attenuation correction for enhanced 18F-NaF and 18F-FDG quantification in cardiovascular PET/MR imaging.

Authors:  Nicolas A Karakatsanis; Ronan Abgral; Maria Giovanna Trivieri; Marc R Dweck; Philip M Robson; Claudia Calcagno; Gilles Boeykens; Max L Senders; Willem J M Mulder; Charalampos Tsoumpas; Zahi A Fayad
Journal:  J Nucl Cardiol       Date:  2019-10-30       Impact factor: 5.952

10.  Comparison of Correction Techniques for the Spill in Effect in Emission Tomography.

Authors:  Mercy I Akerele; Nicolas A Karakatsanis; Daniel Deidda; Jacobo Cal-Gonzalez; Rachael O Forsythe; Marc R Dweck; Maaz Syed; David E Newby; Robert G Aykroyd; Steven Sourbron; Charalampos Tsoumpas
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-03-12
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