Recurrence patterns are significantly associated with the <sup>18</sup>F‑FDG PET/CT radiomic features of patients with locally advanced non‑small cell lung cancer treated with chemoradiotherapy

Liu,Wenju; Qiao,Xu; Ge,Hong; Zhang,Sheng; Sun,Xiaojiang; Li,Jiancheng; Chen,Weilin; Gu,Wendong; Yuan,Shuanghu

doi:10.3892/ol.2023.13903

July-2023 Volume 26 Issue 1

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July-2023 Volume 26 Issue 1

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Article Open Access

Recurrence patterns are significantly associated with the ¹⁸F‑FDG PET/CT radiomic features of patients with locally advanced non‑small cell lung cancer treated with chemoradiotherapy

Authors:
- Wenju Liu
- Xu Qiao
- Hong Ge
- Sheng Zhang
- Xiaojiang Sun
- Jiancheng Li
- Weilin Chen
- Wendong Gu
- Shuanghu Yuan
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Affiliations: Department of Radiation Oncology, Shandong University Cancer Center, Jinan, Shandong 250117, P.R. China, School of Control Science and Engineering, Shandong University, Jinan, Shandong 250117, P.R. China, Department of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou, Henan 450000, P.R. China, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China, Department of Radiation Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China, Department of Radiation Oncology, Fujian Cancer Hospital, College of Clinical Medicine for Oncology, Fujian Medical University, Fuzhou, Fujian 350000, P.R. China, Department of Radiation Oncology, Zhangzhou Hospital Affiliated to Fujian Medical University, Zhangzhou, Fujian 363000, P.R. China, Department of Radiation Oncology, The Third Hospital Afiliated to Suzhou University, Changzhou, Jiangsu 213000, P.R. China

Copyright: © Liu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Article Number: 317
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Published online on: June 7, 2023

https://doi.org/10.3892/ol.2023.13903
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Abstract

A model for predicting the recurrence pattern of patients with locally advanced non‑small cell lung cancer (LA‑NSCLC) treated with chemoradiotherapy is of great importance for precision treatment. The present study analyzed whether the comprehensive quantitative values (CVs) of the fluorine‑18(¹⁸F)‑fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) radiomic features and metastasis tumor volume (MTV) combined with clinical characteristics could predict the recurrence pattern of patients with LA‑NSCLC treated with chemoradiotherapy. Patients with LA‑NSCLC treated with chemoradiotherapy were divided into training and validation sets. The recurrence profile of each patient, including locoregional recurrence (LR), distant metastasis (DM) and both LR/DM were recorded. In the training set of patients, the primary tumor prior radiotherapy with ¹⁸F‑FDG PET/CT and both primary tumors and lymph node metastasis were considered as the regions of interest (ROIs). The CVs of ROIs were calculated using principal component analysis. Additionally, MTVs were obtained from ROIs. The CVs, MTVs and the clinical characteristics of patients were subjected to aforementioned analysis. Furthermore, for the validation set of patients, the CVs and clinical characteristics of patients with LA‑NSCLC were also subjected to logistic regression analysis and the area under the curve (AUC) values calculated. A total of 86 patients with LA‑NSCLC were included in the analysis, including 59 and 27 patients in the training and validation sets of patients, respectively. The analysis revealed 22 and 12 cases with LR, 24 and 6 cases with DM and 13 and 9 cases with LR/DM in the training and validation sets of patients, respectively. Histological subtype, CV2‑5 and CV3‑4 were identified as independent variables in the logistic regression analysis (P<0.05). In addition, the AUC values for diagnosing LR, DM and LR/DM were 0.873, 0.711 and 0.826, and 0.675, 0.772 and 0.708 in the training and validation sets of patients, respectively. Overall, the results demonstrated that the spatial and metabolic heterogeneity quantitative values from the primary tumor combined with the histological subtype could predict the recurrence pattern of patients with LA‑NSCLC treated with chemoradiotherapy.

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