Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.
ADVANCED SEARCH
Log in
Top
EJNMMI Research
Published in: EJNMMI Research 1/2013

Open Access 01-12-2013 | Original research

Estimation of input functions from dynamic [18F]FLT PET studies of the head and neck with correction for partial volume effects

Authors: Sara L Hackett, Dan Liu, Anastasia Chalkidou, Paul Marsden, David Landau, John D Fenwick

Published in: EJNMMI Research | Issue 1/2013

Login to get access

Abstract

Background

We present a method for extracting arterial input functions from dynamic [18F]FLT PET images of the head and neck, directly accounting for the partial volume effect. The method uses two blood samples, for which the optimum collection times are assessed.

Methods

Six datasets comprising dynamic PET images, co-registered computed tomography (CT) scans and blood-sampled input functions were collected from four patients with head and neck tumours. In each PET image set, a region was identified that comprised the carotid artery (outlined on CT images) and surrounding tissue within the voxels containing the artery. The time course of activity in the region was modelled as the sum of the blood-sampled input function and a compartmental model of tracer uptake in the surrounding tissue.
The time course of arterial activity was described by a mathematical function with seven parameters. The parameters of the function and the compartmental model were simultaneously estimated, aiming to achieve the best match between the modelled and imaged time course of regional activity and the best match of the estimated blood activity to between 0 and 3 samples. The normalised root-mean-square (RMSnorm) differences and errors in areas under the curves (AUCs) between the measured and estimated input functions were assessed.

Results

A one-compartment model of tracer movement to and from the artery best described uptake in the tissue surrounding the artery, so the final model of the input function and tissue kinetics has nine parameters to be estimated. The estimated and blood-sampled input functions agreed well when two blood samples, obtained at times between 2 and 8 min and between 8 and 60 min, were used in the estimation process (RMSnorm values of 1.1 ± 0.5 and AUC errors for the peak and tail region of the curves of 15% ± 9% and 10% ± 8%, respectively). A third blood sample did not significantly improve the accuracy of the estimated input functions.

Conclusions

Input functions for FLT-PET studies of the head and neck can be estimated well using a one-compartment model of tracer movement and TWO blood samples obtained after the peak in arterial activity.
Appendix
Available only for authorised users
Literature
1.
Weber WA: Use of PET for monitoring cancer therapy and for predicting outcome. J Nucl Med 2005,46(6):983–995.
2.
Shields AF, Grierson JR, Dohmen BM, Machulla HJ, Stayanoff JC, Lawhorn-Crews JM, Obradovich JE, Muzik O, Mangner TJ: Imaging proliferation in vivo with [F-18]FLT and positron emission tomography. Nat Med 1998,4(11):1334–1336. 10.1038/3337CrossRef
3.
Barthel H, Cleij MC, Collingridge DR, Hutchinson OC, Osman S, He Q, Luthra SK, Brady F, Price PM, Aboagye EO: 3 ′ -deoxy-3 ′ -[ 18 F]fluorothymidine as a new marker for monitoring tumor response to antiproliferative therapy in vivo with positron emission tomography . Cancer Res 2003,63(13):3791–3798.
4.
Jacobs AH, Thomas A, Kracht LW, Li H, Dittmar C, Garlip G, Galldiks N, Klein JC, Sobesky J, Hilker R, Vollmar S, Herholz K, Wienhard K, Heiss WD: 18 F-fluoro-L-thymidine and 11C-methylmethionine as markers of increased transport and proliferation in brain tumors . J Nucl Med 2005,46(12):1948–1958.
5.
Hall R: Vascular injuries resulting from arterial puncture of catheterization. Br J Surg 1971,58(7):513–516. 10.1002/bjs.1800580711CrossRef
6.
Wahl LM, Asselin MC, Nahmias C: Regions of interest in the venous sinuses as input functions for quantitative PET. J Nucl Med 1999,40(10):1666–1675.
7.
van der Weerdt AP, Klein LJ, Boellaard R, Visser CA, Visser FC, Lammertsma AA: Image-derived input functions for determination of MRGlu in cardiac (18)F-FDG PET scans. J Nucl Med 2001,42(11):1622–1629.
8.
Soret M, Bacharach SL, Buvat I: Partial-volume effect in PET tumor imaging. J Nucl Med 2007,48(6):932–945. 10.2967/jnumed.106.035774CrossRef
9.
Krejza J, Arkuszewski M, Kasner SE, Weigele J, Ustymowicz A, Hurst RW, Cucchiara BL, Messe SR: Carotid artery diameter in men and women and the relation to body and neck size. Stroke 2006,37(4):1103–1105. 10.1161/01.STR.0000206440.48756.f7CrossRef
10.
Rousset OG, Ma Y, Evans AC: Correction for partial volume effects in PET: principle and validation. J Nucl Med 1998,39(5):904–911.
11.
Chen CH, Muzic RJr, Nelson AD, Adler LP: Simultaneous recovery of size and radioactivity concentration of small spheroids with PET data. J Nucl Med 1999, 40: 118–130.
12.
Mourik JEM, Lubberink M, Klumpers UMH, Comans EF, Lammertsma AA, Boellaard R: Partial volume corrected image derived input functions for dynamic PET brain studies: methodology and validation for [ 11 C]flumazenil . Neuroimage 2008,39(3):1041–1050. 10.1016/j.neuroimage.2007.10.022CrossRef
13.
Wong KP, Feng D, Meikle SR, Fulham MJ: Simultaneous estimation of physiological parameters and the input function— in vivo PET data . IEEE Trans Inf Technol Biomed 2001, 5: 67–76. 10.1109/4233.908397CrossRef
14.
Naganawa M, Kimura Y, Ishii K, Oda K, Ishiwata K, Matani A: Extraction of a plasma time-activity curve from dynamic brain PET images based on independent component analysis. IEEE Trans Biomed Eng 2005,52(2):201–210. 10.1109/TBME.2004.840193CrossRef
15.
Fang YHD, Muzic RFJr: Spillover and partial-volume correction for image-derived input functions for small-animal 18F-FDG PET studies. J Nucl Med 2008,49(4):606–614. 10.2967/jnumed.107.047613CrossRef
16.
Backes H, Ullrich R, Neumaier B, Kracht L, Wienhard K, Jacobs AH: Noninvasive quantification of 18F-FLT human brain PET for the assessment of tumour proliferation in patients with high-grade glioma. Eur J Nucl Med Mol Imaging 2009,36(12):1960–1967. 10.1007/s00259-009-1244-4PubMedCentralCrossRef
17.
Thorwarth D, Eschmann SM, Scheiderbauer J, Paulsen F, Alber M: Kinetic analysis of dynamic 18F-fluoromisonidazole PET correlates with radiation treatment outcome in head-and-neck cancer. BMC Cancer 2005, 5: 152. 10.1186/1471-2407-5-152PubMedCentralCrossRef
18.
Boellaard R, van Lingen A, Lammertsma AA: Experimental and clinical evaluation of iterative reconstruction (OSEM) in dynamic PET: quantitative characteristics and effects on kinetic modeling. J Nucl Med 2001,42(5):808–817.
19.
Liu D, Chalkidou A, Landau DB, Marsden PK, Fenwick JD: 18 F-FLT uptake kinetic in head and neck squamous cell carcinoma: a PET imaging study . Med Phys 2013,. in press
20.
Feng D, Huang SC, Wang X: Models for computer simulation studies of input functions for tracer kinetic modeling with positron emission tomography. Int J Biomed Comput 1993,32(2):95–110. 10.1016/0020-7101(93)90049-CCrossRef
21.
Zanotti-Fregonara P, Liow JS, Fujita M, Dusch E, Zoghbi SS, Luong E, Boellaard R, Pike VW, Comtat C, Innis RB: Image-derived input function for human brain using high resolution PET imaging with [C](R)-rolipram and [C]PBR28. PLoS One 2011,6(2):e17056. 10.1371/journal.pone.0017056PubMedCentralCrossRef
Metadata
Title
Estimation of input functions from dynamic [18F]FLT PET studies of the head and neck with correction for partial volume effects
Authors
Sara L Hackett
Dan Liu
Anastasia Chalkidou
Paul Marsden
David Landau
John D Fenwick
Publication date
01-12-2013
Publisher
Springer Berlin Heidelberg
Published in
EJNMMI Research / Issue 1/2013
Electronic ISSN: 2191-219X
DOI
https://doi.org/10.1186/2191-219X-3-84

Other articles of this Issue 1/2013

EJNMMI Research 1/2013 Go to the issue

Original research

Liquid hyper-absorption as a cause of increased DTPA clearance in the cystic fibrosis airway

Original research

Multimodality imaging using SPECT/CT and MRI and ligand functionalized 99mTc-labeled magnetic microbubbles

Original research

Characterization of fast-decaying PET radiotracers solely through LC-MS/MS of constituent radioactive and carrier isotopologues

Original research

Assessment of acquisition protocols for routine imaging of Y-90 using PET/CT

Original research

Simplified programming and control of automated radiosynthesizers through unit operations

Original research

Radiosensitization of noradrenaline transporter-expressing tumour cells by proteasome inhibitors and the role of reactive oxygen species