Literature DB >> 11083544

Short dynamic FDG-PET imaging protocol for patients with lung cancer.

T Torizuka1, S Nobezawa, S Momiki, N Kasamatsu, T Kanno, E Yoshikawa, M Futatsubashi, H Okada, Y Ouchi.   

Abstract

This positron emission tomography (PET) study was designed to compare 2-[fluorine-18]fluoro-2-deoxy-D-glucose (FDG) kinetic parameters of tumours derived from imaging frames of 0-60 min post FDG injection with those derived from shorter imaging frames of 0-30 min. Dynamic FDG-PET scans were performed on 20 patients with primary lung cancers for 1 h after intravenous injection of FDG. Images were reconstructed with attenuation correction using transmission images obtained with a germanium-68 ring source immediately before FDG injection. A region of interest (ROI) was placed on the plane of the maximal tumour FDG uptake. Arterial input function was estimated from an ROI defined in the left atrium. Based on the standard three-compartment metabolic model, we calculated the rate constants (K1-k3) and influx constant Ki = K1k3/(k2+k3) using the imaging frames for 60 min and 30 min post FDG injection. The standardized uptake value (SUV) of tumour was measured using the imaging frame of 50-60 min post injection. High correlations were observed between kinetic parameters (K1, k2, k3 and Ki) derived from imaging frames of 0-60 min and 0-30 min [0.231+/-0.114 vs 0.260+/-0.174 (r=0.958), 1.149+/-1.038 vs 1.565+/-2.027 (r=0.968), 0.259+/-0.154 vs 0.311+/-0.194 (r=0.886) and 0.044+/-0.022 vs 0.048+/-0.023 (r=0.961), respectively, P<0.001]. Ki showed an excellent agreement between the two methods (y=-0.0041+0.9831x). Mean SUV of the lung cancers was 6.58+/-2.85. It is concluded that the briefer 30-min acquisition may yield essentially the same results as the standard 60-min imaging protocol, thus offering a time saving in dynamic PET studies in which the model parameters are desired.

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Year:  2000        PMID: 11083544     DOI: 10.1007/s002590000312

Source DB:  PubMed          Journal:  Eur J Nucl Med        ISSN: 0340-6997


  9 in total

1.  Assessment of artery calcification in atherosclerosis with dynamic 18F-FDG-PET/CT imaging in elderly subjects.

Authors:  Mamdouh S Al-Enezi; Redha-Alla Abdo; Mohamed Yazid Mokeddem; Faiçal A A Slimani; Abdelouahed Khalil; Tamas Fulop; Eric Turcotte; M'hamed Bentourkia
Journal:  Int J Cardiovasc Imaging       Date:  2019-02-02       Impact factor: 2.357

2.  Shortening the duration of [18F]FDG PET brain examination for diagnosis of brain glioma.

Authors:  Toshihide Monden; Nobuyuki Kudomi; Yasuhiro Sasakawa; Yuka Yamamoto; Nobuyuki Kawai; Yoshihiro Nishiyama
Journal:  Mol Imaging Biol       Date:  2011-08       Impact factor: 3.488

3.  Parametric images via dynamic 18F-fluorodeoxyglucose positron emission tomographic data acquisition in predicting midterm outcome of liver metastases secondary to gastrointestinal stromal tumours.

Authors:  Dimitris J Apostolopoulos; Antonia Dimitrakopoulou-Strauss; Peter Hohenberger; Safwan Roumia; Ludwig G Strauss
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-03-12       Impact factor: 9.236

Review 4.  Methodological considerations in quantification of oncological FDG PET studies.

Authors:  Dennis Vriens; Eric P Visser; Lioe-Fee de Geus-Oei; Wim J G Oyen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-11-20       Impact factor: 9.236

5.  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

6.  Whole-body direct 4D parametric PET imaging employing nested generalized Patlak expectation-maximization reconstruction.

Authors:  Nicolas A Karakatsanis; Michael E Casey; Martin A Lodge; Arman Rahmim; Habib Zaidi
Journal:  Phys Med Biol       Date:  2016-07-06       Impact factor: 3.609

7.  A Short Dynamic Scan Method of Measuring Bone Metabolic Flux Using [18F]NaF PET.

Authors:  Tanuj Puri; Musib M Siddique; Michelle L Frost; Amelia E B Moore; Glen M Blake
Journal:  Tomography       Date:  2021-10-25

8.  Kidney modelling for FDG excretion with PET.

Authors:  Huiting Qiao; Jing Bai; Yingmao Chen; Jiahe Tian
Journal:  Int J Biomed Imaging       Date:  2007

9.  Feasibility of 18F-Fluoromisonidazole Kinetic Modeling in Head and Neck Cancer Using Shortened Acquisition Times.

Authors:  Milan Grkovski; Jazmin Schwartz; Mithat Gönen; Heiko Schöder; Nancy Y Lee; Sean D Carlin; Pat B Zanzonico; John L Humm; Sadek A Nehmeh
Journal:  J Nucl Med       Date:  2015-11-25       Impact factor: 10.057

  9 in total

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