Journal of thoracic imaging | 2021

Prospective Evaluation of the First Integrated Positron Emission Tomography/Dual-Energy Computed Tomography System in Patients With Lung Cancer.

 
 
 
 
 
 
 
 
 
 
 

Abstract


PURPOSE\nThe aim of this pilot study was to prospectively evaluate the first integrated positron emission tomography (PET)/dual-energy computed tomography (DECT) system performance in patients with non-small cell lung cancer (NSCLC).\n\n\nMATERIALS AND METHODS\nIn this single-center, prospective trial, consecutive patients with NSCLC referred for a PET study between May 2017 and June 2018 were enrolled. All patients received contrast-enhanced imaging on a clinical PET/DECT system. Data analysis included PET-based standard uptake values (SUVmax) and DECT-based iodine densities of tumor masses, lymph nodes, and distant metastases. Results were analyzed using correlation tests and receiver operating characteristics curves.\n\n\nRESULTS\nThe study population was composed of 21 patients (median age 62\u2009y, 14 male patients). A moderate positive correlation was found between iodine density values (2.2\u2009mg/mL) and SUVmax (10.5) in tumor masses (ρ=0.53, P<0.01). Iodine density values (2.3\u2009mg/mL) and SUVmax (5.4) of lymph node metastases showed a weak positive correlation (ρ=0.23, P=0.14). In addition, iodine quantification analysis provided no added value in differentiating between pathologic and nonpathologic lymph nodes with an area under the curve (AUC) of 0.55 using PET-based SUVmax as the reference standard. A weak positive correlation was observed between iodine density (2.2\u2009mg/mL) and SUVmax in distant metastases (14.9, ρ=0.23, P=0.52).\n\n\nCONCLUSIONS\nThe application of an integrated PET/DECT system in lung cancer might provide additional insights in the assessment of tumor masses. However, the added value of iodine density quantification for the evaluation of lymph nodes and distant metastases seems limited.

Volume None
Pages None
DOI 10.1097/RTI.0000000000000597
Language English
Journal Journal of thoracic imaging

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