Prognostic Value of Combing Primary Tumor and Nodal Glycolytic-Volumetric Parameters of 18F-FDG PET in Patients with Non-Small Cell Lung Cancer and Regional Lymph Node Metastasis.
Yu-Hung Chen,Sung-Chao Chu,Ling-Yi Wang,Tso Fu Wang,Kun-Han Lue,Chih-Bin Lin,Bee-Song Chang,Dai-Wei Liu,Shu-Hsin Liu,Sheng-Chieh Chan +9 more
- Vol. 11, Iss: 6, pp 1065
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TLDR
In this article, the authors investigated whether the combination of primary tumor and nodal 18F-FDG PET parameters predict survival outcomes in patients with nodal metastatic non-small cell lung cancer (NSCLC) without distant metastasis.Abstract:
We investigated whether the combination of primary tumor and nodal 18F-FDG PET parameters predict survival outcomes in patients with nodal metastatic non-small cell lung cancer (NSCLC) without distant metastasis. We retrospectively extracted pre-treatment 18F-FDG PET parameters from 89 nodal-positive NSCLC patients (stage IIB-IIIC). The Cox proportional hazard model was used to identify independent prognosticators of overall survival (OS) and progression-free survival (PFS). We devised survival stratification models based on the independent prognosticators and compared the model to the American Joint Committee on Cancer (AJCC) staging system using Harrell's concordance index (c-index). Our results demonstrated that total TLG (the combination of primary tumor and nodal total lesion glycolysis) and age were independent risk factors for unfavorable OS (p < 0.001 and p = 0.001) and PFS (both p < 0.001), while the Eastern Cooperative Oncology Group scale independently predicted poor OS (p = 0.022). Our models based on the independent prognosticators outperformed the AJCC staging system (c-index = 0.732 versus 0.544 for OS and c-index = 0.672 versus 0.521 for PFS, both p < 0.001). Our results indicate that incorporating total TLG with clinical factors may refine risk stratification in nodal metastatic NSCLC patients and may facilitate tailored therapeutic strategies in this patient group.read more
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Tumor glycolytic heterogeneity improves detection of regional nodal metastasis in patients with lung adenocarcinoma.
Kun-Han Lue,Sung-Chao Chu,Ling-Yi Wang,Yen-Chang Chen,Ming-Hsun Li,Bee-Song Chang,Sheng-Chieh Chan,Yu-Hung Chen,Chih-Bin Lin,Shu-Hsin Liu +9 more
TL;DR: Zhang et al. as mentioned in this paper evaluated the value of 18F-FDG PET-derived features in predicting pathological lymph node metastasis in patients with lung adenocarcinoma.
Journal ArticleDOI
The combined tumor-nodal glycolytic entropy improves survival stratification in nonsmall cell lung cancer with locoregional disease
TL;DR: In this paper , the authors investigated whether combining primary tumor and metastatic nodal glycolytic heterogeneity on 18 F-fluorodeoxyglucose PET (18 F-FDG PET) improves prognostic prediction in nonsmall cell lung cancer (NSCLC) with locoregional disease.
Journal ArticleDOI
Glucose metabolic heterogeneity correlates with pathological features and improves survival stratification of resectable lung adenocarcinoma
Yu-Hung Chen,Yen-Chang Chen,Kun-Han Lue,Sung-Chao Chu,Bee-Song Chang,Ling-Yi Wang,Ming Hsun Li,Chih-Bin Lin +7 more
Journal ArticleDOI
Editorial on Special Issue “Quantitative PET and SPECT”
TL;DR: Since the introduction of personalized (or precision) medicine, the primary focus of imaging has moved from detection and diagnosis to tissue characterization, determination of prognosis, prediction of treatment efficacy, and measurement of treatment response.
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