IMR Press / FBL / Volume 22 / Issue 10 / DOI: 10.2741/4567

Frontiers in Bioscience-Landmark (FBL) is published by IMR Press from Volume 26 Issue 5 (2021). Previous articles were published by another publisher on a subscription basis, and they are hosted by IMR Press on imrpress.com as a courtesy and upon agreement with Frontiers in Bioscience.

Open Access Article

FDG PET/CT as theranostic imaging in diagnosis of non-small cell lung cancer

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1 Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy
2 IBFM-CNR, Segrate, Milan, Italy
3 Thoracic Surgery, Humanitas Clinical and Research Center, Rozzano, Milan, Italy
4 Nuclear Medicine, Humanitas Clinical and Research Center, Rozzano, Milan, Italy

Academic Editors: Isabella Castiglioni, Gloria Bertoli, Claudia Cava

Front. Biosci. (Landmark Ed) 2017, 22(10), 1713–1723; https://doi.org/10.2741/4567
Published: 1 March 2017
(This article belongs to the Special Issue Frontiers in biomarker for theranostics)
Abstract

Objective of this work was to evaluate the role of 18F-fluorodeoxyglucose (FDG) positron-emission tomography features as theranostic imaging biomarkers in non-small cell lung cancer. In a retrospective protocol, 31 stage I-III NSCLC patients were enrolled. Patients underwent FDG PET/CT for staging purposes before surgery and were followed for two years after surgery. PET images were quantitatively analyzed. For the primary lesion, metabolic tumour volume, maximum standardized uptake value (SUV), SUV corrected for partial volume effect, total lesion glycolysis, 14 histogram and four shape-and-size features were extracted as PET imaging features. PET features were correlated with histology and 2-year disease-free survival (DFS). Significant correlations were found between grading, T parameter, N status, pathological stage and different FDG PET features. Histogram-based features “energy” and “kurtosis” resulted to be predictive for DFS. The cut-off value identified for “kurtosis” was able to separate the adenocarcinoma patients with different outcomes. FDG PET features are able to characterize lung cancer lesions, suggesting the possibility of reliable “imaging biopsy”, and have a predictive role in adenocarcinoma patients undergoing surgery.

Keywords
Lung cancer
Non small cell lung cancer
PET/CT
Texture
Radiomics
Diagnosis
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