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. Histogrambased 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.
机构:
Fu Jen Catholic Univ, Grad Inst Business Adm, Coll Management, Taipei, Taiwan
Lotung Poh Ai Hosp, Lo Hsu Med Fdn, Big Data Ctr, 111,Sect 3,Hsing Long Rd, Taipei 116, TaiwanFu Jen Catholic Univ, Grad Inst Business Adm, Coll Management, Taipei, Taiwan
Chen, Wan-Ming
Chen, Mingchih
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Fu Jen Catholic Univ, Grad Inst Business Adm, Coll Management, Taipei, TaiwanFu Jen Catholic Univ, Grad Inst Business Adm, Coll Management, Taipei, Taiwan
Chen, Mingchih
Hsu, Jeng-Guan
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Fu Jen Catholic Univ, Grad Inst Business Adm, Coll Management, Taipei, TaiwanFu Jen Catholic Univ, Grad Inst Business Adm, Coll Management, Taipei, Taiwan
Hsu, Jeng-Guan
Lee, Tian-Shyug
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Fu Jen Catholic Univ, Grad Inst Business Adm, Coll Management, Taipei, TaiwanFu Jen Catholic Univ, Grad Inst Business Adm, Coll Management, Taipei, Taiwan
Lee, Tian-Shyug
Shia, Ben-Chang
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Fu Jen Catholic Univ, Grad Inst Business Adm, Coll Management, Taipei, Taiwan
Fu Jen Catholic Univ, Artificial Intelligence Dev Ctr, Taipei, TaiwanFu Jen Catholic Univ, Grad Inst Business Adm, Coll Management, Taipei, Taiwan
机构:
Catholic Univ Korea, Coll Med, Seoul St Marys Hosp, Dept Radiol, Seoul, South KoreaCatholic Univ Korea, Coll Med, St Vincents Hosp, Dept Radiol, Seoul, South Korea
Yoo, Ie Ryung
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Hyun, Joo O.
Kim, Tae Jung
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Catholic Univ Korea, Coll Med, Yeouido St Marys Hosp, Dept Hosp Pathol, Seoul, South KoreaCatholic Univ Korea, Coll Med, St Vincents Hosp, Dept Radiol, Seoul, South Korea
Kim, Tae Jung
Lee, Kyo Young
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Catholic Univ Korea, Coll Med, Seoul St Marys Hosp, Dept Hosp Pathol, Seoul, South KoreaCatholic Univ Korea, Coll Med, St Vincents Hosp, Dept Radiol, Seoul, South Korea