Integrated F-Fluorodeoxyglucose–Positron Emission Tomography/Dynamic Contrast-Enhanced Computed Tomography to Phenotype Non–Small Cell Lung Carcinoma

We applied modern molecular and functional imaging to the pretreatment assessment of lung cancer using combined dynamic contrast-enhanced computed tomography (DCE-CT) and 18 F-fluorodeoxyglucose–positron emission tomography ( 18 F-FDG-PET) to phenotype tumors. Seventy-four lung cancer patients were...

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Main Authors: Manu Shastry, Kenneth A. Miles, Thida Win, Sam M. Janes, Raymond Endozo, Marie Meagher, Peter J. Ell, Ashley M. Groves
Format: Article
Language:English
Published: SAGE Publishing 2012-09-01
Series:Molecular Imaging
Online Access:https://doi.org/10.2310/7290.2011.00052
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author Manu Shastry
Kenneth A. Miles
Thida Win
Sam M. Janes
Raymond Endozo
Marie Meagher
Peter J. Ell
Ashley M. Groves
author_facet Manu Shastry
Kenneth A. Miles
Thida Win
Sam M. Janes
Raymond Endozo
Marie Meagher
Peter J. Ell
Ashley M. Groves
author_sort Manu Shastry
collection DOAJ
description We applied modern molecular and functional imaging to the pretreatment assessment of lung cancer using combined dynamic contrast-enhanced computed tomography (DCE-CT) and 18 F-fluorodeoxyglucose–positron emission tomography ( 18 F-FDG-PET) to phenotype tumors. Seventy-four lung cancer patients were prospectively recruited for 18 F-FDG-PET/DCE-CT using PET/64-detector CT. After technical failures, there were 64 patients (35 males, 29 females; mean age [± SD] 67.5 ± 7.9 years). DCE-CT yielded tumor peak enhancement (PE) and standardized perfusion value (SPV). The uptake of 18 F-FDG quantified on PET as the standardized uptake value (SUV max ) assessed tumor metabolism. The median values for SUV max and SPV were used to define four vascular-metabolic phenotypes. There were associations (Spearman rank correlation [ rs ]) between tumor size and vascular-metabolic parameters: SUV max versus size ( rs = .40, p = .001) and SUV/PE versus size ( r = .43, p < .001). Patients with earlier-stage (1-HA, n = 30) disease had mean (± SD) SUV/PE 0.36 ± 0.28 versus 0.56 ± 0.32 in later-stage (stage IIB-IV, n = 34) disease ( p = .007). The low metabolism with high vascularity phenotype was significantly more common among adenocarcinomas ( p = .018), whereas the high metabolism with high vascularity phenotype was more common among squamous cell carcinomas ( p = .024). Other non-small cell lung carcinoma tumor types demonstrated a high prevalence of the high metabolism with low vascularity phenotype ( p = .028). We show that tumor subtypes have different vascular-metabolic associations, which can be helpful clinically in managing lung cancer patients to hone targeted therapy.
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spelling doaj.art-ca294ed80b2347f08c55e2306e8206a92025-01-02T02:58:05ZengSAGE PublishingMolecular Imaging1536-01212012-09-011110.2310/7290.2011.0005210.2310_7290.2011.00052Integrated F-Fluorodeoxyglucose–Positron Emission Tomography/Dynamic Contrast-Enhanced Computed Tomography to Phenotype Non–Small Cell Lung CarcinomaManu ShastryKenneth A. MilesThida WinSam M. JanesRaymond EndozoMarie MeagherPeter J. EllAshley M. GrovesWe applied modern molecular and functional imaging to the pretreatment assessment of lung cancer using combined dynamic contrast-enhanced computed tomography (DCE-CT) and 18 F-fluorodeoxyglucose–positron emission tomography ( 18 F-FDG-PET) to phenotype tumors. Seventy-four lung cancer patients were prospectively recruited for 18 F-FDG-PET/DCE-CT using PET/64-detector CT. After technical failures, there were 64 patients (35 males, 29 females; mean age [± SD] 67.5 ± 7.9 years). DCE-CT yielded tumor peak enhancement (PE) and standardized perfusion value (SPV). The uptake of 18 F-FDG quantified on PET as the standardized uptake value (SUV max ) assessed tumor metabolism. The median values for SUV max and SPV were used to define four vascular-metabolic phenotypes. There were associations (Spearman rank correlation [ rs ]) between tumor size and vascular-metabolic parameters: SUV max versus size ( rs = .40, p = .001) and SUV/PE versus size ( r = .43, p < .001). Patients with earlier-stage (1-HA, n = 30) disease had mean (± SD) SUV/PE 0.36 ± 0.28 versus 0.56 ± 0.32 in later-stage (stage IIB-IV, n = 34) disease ( p = .007). The low metabolism with high vascularity phenotype was significantly more common among adenocarcinomas ( p = .018), whereas the high metabolism with high vascularity phenotype was more common among squamous cell carcinomas ( p = .024). Other non-small cell lung carcinoma tumor types demonstrated a high prevalence of the high metabolism with low vascularity phenotype ( p = .028). We show that tumor subtypes have different vascular-metabolic associations, which can be helpful clinically in managing lung cancer patients to hone targeted therapy.https://doi.org/10.2310/7290.2011.00052
spellingShingle Manu Shastry
Kenneth A. Miles
Thida Win
Sam M. Janes
Raymond Endozo
Marie Meagher
Peter J. Ell
Ashley M. Groves
Integrated F-Fluorodeoxyglucose–Positron Emission Tomography/Dynamic Contrast-Enhanced Computed Tomography to Phenotype Non–Small Cell Lung Carcinoma
Molecular Imaging
title Integrated F-Fluorodeoxyglucose–Positron Emission Tomography/Dynamic Contrast-Enhanced Computed Tomography to Phenotype Non–Small Cell Lung Carcinoma
title_full Integrated F-Fluorodeoxyglucose–Positron Emission Tomography/Dynamic Contrast-Enhanced Computed Tomography to Phenotype Non–Small Cell Lung Carcinoma
title_fullStr Integrated F-Fluorodeoxyglucose–Positron Emission Tomography/Dynamic Contrast-Enhanced Computed Tomography to Phenotype Non–Small Cell Lung Carcinoma
title_full_unstemmed Integrated F-Fluorodeoxyglucose–Positron Emission Tomography/Dynamic Contrast-Enhanced Computed Tomography to Phenotype Non–Small Cell Lung Carcinoma
title_short Integrated F-Fluorodeoxyglucose–Positron Emission Tomography/Dynamic Contrast-Enhanced Computed Tomography to Phenotype Non–Small Cell Lung Carcinoma
title_sort integrated f fluorodeoxyglucose positron emission tomography dynamic contrast enhanced computed tomography to phenotype non small cell lung carcinoma
url https://doi.org/10.2310/7290.2011.00052
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