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. 2022 Dec;56(6):306-312.
doi: 10.1007/s13139-022-00774-2. Epub 2022 Sep 23.

Association of Fluorodeoxyglucose Positron Emission Tomography Radiomics Features with Clinicopathological Factors and Prognosis in Lung Squamous Cell Cancer

Mustafa Erol  1 , Hasan Önner  2 , İlknur Küçükosmanoğlu  3
Affiliations

Association of Fluorodeoxyglucose Positron Emission Tomography Radiomics Features with Clinicopathological Factors and Prognosis in Lung Squamous Cell Cancer

Mustafa Erol et al. Nucl Med Mol Imaging. 2022 Dec.

Abstract

Aim: To evaluate the role of fluorine-18 fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) radiomics features (RFs) for predicting clinicopathological factors (CPFs) and prognosis in patients with resected lung squamous cell cancer (LSCC).

Material and methods: Patients with early-stage (stage I-III) LSCC who underwent 18F-FDG PET/CT before surgical resection between August 2012 and February 2020 were analyzed. Patients who received neoadjuvant chemotherapy or radiotherapy were excluded from the study. The maximum standard uptake value (SUVmax) and RFs were extracted from PET images for primary tumors. The diagnostic performances of PET parameters in groups of tumor differentiation, stage, and mediastinal lymph node metastasis (MLNM) status were evaluated. The study endpoints were overall survival (OS) and progression-free survival (PFS). Univariate and multivariate analyses were performed with RFs, SUVmax, and CPFs to find independent predictors of PFS and OS.

Results: A total of 77 patients (5 female, 72 male) were included in the study. SUVmax and GLCM entropy were independently associated with tumor differentiation. The only parameter with significant diagnostic performance for MLNM was GLZLM-SLZGE. Tumor diameter and NGLDM busyness were independently associated with the stage. MLNM and tumor differentiation were found to be independent predictors of PFS. NGLDM contrast and MLNM were independently associated with OS.

Conclusion: Using radiomic features in addition to CPFs to predict disease recurrence and shorter overall survival can guide precision medicine in patients with LSCC.

Keywords: Fluorodeoxyglucose; Positron emission tomography; Radiomics; Squamous cell lung cancer.

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Conflict of interest statement

Conflict of InterestMustafa Erol, Hasan Önner, and İlknur Küçükosmanoğlu declare no conflict of interest.

Figures

Fig. 1
Fig. 1
Tumor segmentation for extraction of RFs from PET images in two different patients (a, b and c, d). RFs, radiomic features; PET, positron emission tomography
See this image and copyright information in PMC

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