Literature DB >> 19380405

Standards for PET image acquisition and quantitative data analysis.

Ronald Boellaard1.   

Abstract

Quantitative (18)F-FDG PET is increasingly being recognized as an important tool for diagnosis, determination of prognosis, and response monitoring in oncology. However, PET quantification with, for example, standardized uptake values (SUVs) is affected by many technical and physiologic factors. As a result, some of the variations in the literature on SUV-based patient outcomes are explained by differences in (18)F-FDG PET study methods. Various technical and clinical studies have been performed to understand the factors affecting PET quantification. On the basis of the results of those studies, several recommendations and guidelines have been proposed with the aims of improving the image quality and the quantitative accuracy of (18)F-FDG PET studies. In this contribution, an overview of recommendations and guidelines for quantitative (18)F-FDG PET studies in oncology is provided. Special attention is given to the rationale underlying certain recommendations and to some of the differences in various guidelines.

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Year:  2009        PMID: 19380405     DOI: 10.2967/jnumed.108.057182

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  278 in total

1.  Patterns-of-failure guided biological target volume definition for head and neck cancer patients: FDG-PET and dosimetric analysis of dose escalation candidate subregions.

Authors:  Abdallah S R Mohamed; Carlos E Cardenas; Adam S Garden; Musaddiq J Awan; Crosby D Rock; Sarah A Westergaard; G Brandon Gunn; Abdelaziz M Belal; Ahmed G El-Gowily; Stephen Y Lai; David I Rosenthal; Clifton D Fuller; Michalis Aristophanous
Journal:  Radiother Oncol       Date:  2017-07-31       Impact factor: 6.280

2.  Multiphase contrast-enhanced CT with highly concentrated contrast agent can be used for PET attenuation correction in integrated PET/CT imaging.

Authors:  Philip Aschoff; Christian Plathow; Thomas Beyer; Matthias P Lichy; Gunter Erb; Mehmet Ö Öksüz; Claus D Claussen; Christina Pfannenberg
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-11-29       Impact factor: 9.236

3.  Variability in PET quantitation within a multicenter consortium.

Authors:  Frederic H Fahey; Paul E Kinahan; Robert K Doot; Mehmet Kocak; Harold Thurston; Tina Young Poussaint
Journal:  Med Phys       Date:  2010-07       Impact factor: 4.071

4.  Predictive value of fluorodeoxyglucose uptake in head and neck cancer: importance of standardization: editorial on EAORL-D-10-00277.

Authors:  Remco de Bree; Otto S Hoekstra
Journal:  Eur Arch Otorhinolaryngol       Date:  2010-08-04       Impact factor: 2.503

Review 5.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

Authors:  Habib Zaidi; Issam El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-25       Impact factor: 9.236

6.  On the significance of defective block detectors in clinical (18)F-FDG PET/CT imaging.

Authors:  Esmat Elhami; Maryam Samiee; Sandor Demeter; William D Leslie; Andrew L Goertzen
Journal:  Mol Imaging Biol       Date:  2011-04       Impact factor: 3.488

7.  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

8.  Deep Auto-context Convolutional Neural Networks for Standard-Dose PET Image Estimation from Low-Dose PET/MRI.

Authors:  Lei Xiang; Yu Qiao; Dong Nie; Le An; Qian Wang; Dinggang Shen
Journal:  Neurocomputing       Date:  2017-06-29       Impact factor: 5.719

Review 9.  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

10.  Biases in Multicenter Longitudinal PET Standardized Uptake Value Measurements.

Authors:  Robert K Doot; Larry A Pierce; Darrin Byrd; Brian Elston; Keith C Allberg; Paul E Kinahan
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

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