量研学術機関リポジトリ「QST-Repository」は、国立研究開発法人 量子科学技術研究開発機構に所属する職員等が生み出した学術成果（学会誌発表論文、学会発表、研究開発報告書、特許等）を集積しインターネット上で広く公開するサービスです。 Welcome to QST-Repository where we accumulates and discloses the academic research results(Journal Publications, Conference presentation, Research and Development Report, Patent, etc.) of the members of National Institutes for Quantum Science and Technology.
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[Aim]
The present study aimed to determine whether PET/CT texture parameters can differentiate NSCLC and RP after CIRT.
[Material and Methods]
We retrospectively analyzed PET/CT image data from 32 patients with histopathologically proven non-small cell lung cancer (NSCLC) who were scheduled to undergo CIRT, and 31 patients who were diagnosed with radiation pneumonitis (RP) after CIRT (50.0 Gy (RBE) in single fraction). The SUV parameters of SUVmax, metabolic tumor volume (MTV), total lesion glycolysis (TLG) and seven texture parameters of PET/CT were determined using PETSTAT image-analysis software. Data were statistically compared between NSCLC and RP using Wilcoxon rank sum tests. Diagnostic accuracy was assessed using receiver operating characteristics (ROC) analysis.
[Results]
Several texture parameters, significantly differed between NSCLC and RP (p＜0.05). The parameters that were high in areas under the ROC curves (AUC) were as follows: SUVmax 0.64, GLRLM 0.83 and GTDM 0.82. Diagnostic accuracy was better using GLRLRM or NGTDM than SUVmax (p＜0.01).
[Conclusion]
The texture parameters of PET/CT were useful to differentiate NSCLC and radiation pneumonitis after CIRT.
Evaluation of diagnostic accuracy in NSCLC and radiation pneumonitis using PET-Texture analysis
