Quantification of [18F]afatinib using PET/CT in NSCLC patients: a feasibility study

Abstract Introduction Only a subgroup of non-small cell lung cancer (NSCLC) patients benefit from treatment using epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI) such as afatinib. Tumour uptake of [18F]afatinib using positron emission tomography (PET) may identify those pati...

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Main Authors: E. A. van de Stadt, M. Yaqub, A. A. Lammertsma, A. J. Poot, P. R. Schober, R. C. Schuit, E. F. Smit, I. Bahce, N. H. Hendrikse
Format: Article
Language:English
Published: SpringerOpen 2020-08-01
Series:EJNMMI Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13550-020-00684-4
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spelling doaj-ff974949073d42cfa4ad11a0d33b757f2020-11-25T03:40:51ZengSpringerOpenEJNMMI Research2191-219X2020-08-011011910.1186/s13550-020-00684-4Quantification of [18F]afatinib using PET/CT in NSCLC patients: a feasibility studyE. A. van de Stadt0M. Yaqub1A. A. Lammertsma2A. J. Poot3P. R. Schober4R. C. Schuit5E. F. Smit6I. Bahce7N. H. Hendrikse8Department of Pulmonology, Amsterdam UMC location VUmcCancer Center Amsterdam, Amsterdam UMCCancer Center Amsterdam, Amsterdam UMCCancer Center Amsterdam, Amsterdam UMCDepartment of Anesthesiology, Amsterdam UMC location VUmcCancer Center Amsterdam, Amsterdam UMCDepartment of Pulmonology, Amsterdam UMC location VUmcDepartment of Pulmonology, Amsterdam UMC location VUmcCancer Center Amsterdam, Amsterdam UMCAbstract Introduction Only a subgroup of non-small cell lung cancer (NSCLC) patients benefit from treatment using epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI) such as afatinib. Tumour uptake of [18F]afatinib using positron emission tomography (PET) may identify those patients that respond to afatinib therapy. Therefore, the aim of this study was to find the optimal tracer kinetic model for quantification of [18F]afatinib uptake in NSCLC tumours. Methods [18F]Afatinib PET scans were performed in 10 NSCLC patients. The first patient was scanned for the purpose of dosimetry. Subsequent patients underwent a 20-min dynamic [15O]H2O PET scan (370 MBq) followed by a dynamic [18F]afatinib PET scan (342 ± 24 MBq) of 60 or 90 min. Using the Akaike information criterion (AIC), three pharmacokinetic plasma input models were evaluated with both metabolite-corrected sampler-based input and image-derived (IDIF) input functions in combination with discrete blood samples. Correlation analysis of arterial on-line sampling versus IDIF was performed. In addition, perfusion dependency and simplified measures were assessed. Results Ten patients were included. The injected activity of [18F]afatinib was 341 ± 37 MBq. Fifteen tumours could be identified in the field of view of the scanner. Based on AIC, tumour kinetics were best described using an irreversible two-tissue compartment model and a metabolite-corrected sampler-based input function (Akaike 50%). Correlation of plasma-based input functions with metabolite-corrected IDIF was very strong (r 2 = 0.93). The preferred simplified uptake parameter was the tumour-to-blood ratio over the 60- to 90-min time interval (TBR60–90). Tumour uptake of [18F]afatinib was independent of perfusion. Conclusion The preferred pharmacokinetic model for quantifying [18F]afatinib uptake in NSCLC tumours was the 2T3K_vb model. TBR60–90 showed excellent correlation with this model and is the best candidate simplified method. Trial registration https://eudract.ema.europa.eu/ nr 2012-002849-38http://link.springer.com/article/10.1186/s13550-020-00684-4[18F] AfatinibNSCLCEGFR TKIPET/CTTargeted therapyLung cancer
collection DOAJ
language English
format Article
sources DOAJ
author E. A. van de Stadt
M. Yaqub
A. A. Lammertsma
A. J. Poot
P. R. Schober
R. C. Schuit
E. F. Smit
I. Bahce
N. H. Hendrikse
spellingShingle E. A. van de Stadt
M. Yaqub
A. A. Lammertsma
A. J. Poot
P. R. Schober
R. C. Schuit
E. F. Smit
I. Bahce
N. H. Hendrikse
Quantification of [18F]afatinib using PET/CT in NSCLC patients: a feasibility study
EJNMMI Research
[18F] Afatinib
NSCLC
EGFR TKI
PET/CT
Targeted therapy
Lung cancer
author_facet E. A. van de Stadt
M. Yaqub
A. A. Lammertsma
A. J. Poot
P. R. Schober
R. C. Schuit
E. F. Smit
I. Bahce
N. H. Hendrikse
author_sort E. A. van de Stadt
title Quantification of [18F]afatinib using PET/CT in NSCLC patients: a feasibility study
title_short Quantification of [18F]afatinib using PET/CT in NSCLC patients: a feasibility study
title_full Quantification of [18F]afatinib using PET/CT in NSCLC patients: a feasibility study
title_fullStr Quantification of [18F]afatinib using PET/CT in NSCLC patients: a feasibility study
title_full_unstemmed Quantification of [18F]afatinib using PET/CT in NSCLC patients: a feasibility study
title_sort quantification of [18f]afatinib using pet/ct in nsclc patients: a feasibility study
publisher SpringerOpen
series EJNMMI Research
issn 2191-219X
publishDate 2020-08-01
description Abstract Introduction Only a subgroup of non-small cell lung cancer (NSCLC) patients benefit from treatment using epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI) such as afatinib. Tumour uptake of [18F]afatinib using positron emission tomography (PET) may identify those patients that respond to afatinib therapy. Therefore, the aim of this study was to find the optimal tracer kinetic model for quantification of [18F]afatinib uptake in NSCLC tumours. Methods [18F]Afatinib PET scans were performed in 10 NSCLC patients. The first patient was scanned for the purpose of dosimetry. Subsequent patients underwent a 20-min dynamic [15O]H2O PET scan (370 MBq) followed by a dynamic [18F]afatinib PET scan (342 ± 24 MBq) of 60 or 90 min. Using the Akaike information criterion (AIC), three pharmacokinetic plasma input models were evaluated with both metabolite-corrected sampler-based input and image-derived (IDIF) input functions in combination with discrete blood samples. Correlation analysis of arterial on-line sampling versus IDIF was performed. In addition, perfusion dependency and simplified measures were assessed. Results Ten patients were included. The injected activity of [18F]afatinib was 341 ± 37 MBq. Fifteen tumours could be identified in the field of view of the scanner. Based on AIC, tumour kinetics were best described using an irreversible two-tissue compartment model and a metabolite-corrected sampler-based input function (Akaike 50%). Correlation of plasma-based input functions with metabolite-corrected IDIF was very strong (r 2 = 0.93). The preferred simplified uptake parameter was the tumour-to-blood ratio over the 60- to 90-min time interval (TBR60–90). Tumour uptake of [18F]afatinib was independent of perfusion. Conclusion The preferred pharmacokinetic model for quantifying [18F]afatinib uptake in NSCLC tumours was the 2T3K_vb model. TBR60–90 showed excellent correlation with this model and is the best candidate simplified method. Trial registration https://eudract.ema.europa.eu/ nr 2012-002849-38
topic [18F] Afatinib
NSCLC
EGFR TKI
PET/CT
Targeted therapy
Lung cancer
url http://link.springer.com/article/10.1186/s13550-020-00684-4
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