Next Article in Journal
Pulmonary Hypertension: Diagnosis and Management
Next Article in Special Issue
Evaluation of Quantitative Ga-68 PSMA PET/CT Repeatability of Recurrent Prostate Cancer Lesions Using Both OSEM and Bayesian Penalized Likelihood Reconstruction Algorithms
Previous Article in Journal
Quantification of Antifibrillarin (anti-U3 RNP) Antibodies: A New Insight for Patients with Systemic Sclerosis
Previous Article in Special Issue
Impact of the Noise Penalty Factor on Quantification in Bayesian Penalized Likelihood (Q.Clear) Reconstructions of 68Ga-PSMA PET/CT Scans
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Diagnostics
Volume 11
Issue 6
10.3390/diagnostics11061065
diagnostics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

by
Yu-Hung Chen
1,2,
Sung-Chao Chu
2,3,
Ling-Yi Wang
4,
Tso-Fu Wang
2,3,
Kun-Han Lue
5,
Chih-Bin Lin
2,6,
Bee-Song Chang
7,
Dai-Wei Liu
2,8,
Shu-Hsin Liu
1,5 and
Sheng-Chieh Chan
1,2,*
1
Department of Nuclear Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97002, Taiwan
2
School of Medicine, College of Medicine, Tzu Chi University, Hualien 97002, Taiwan
3
Department of Hematology and Oncology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97002, Taiwan
4
Epidemiology and Biostatistics Consulting Center, Department of Medical Research, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Department of Pharmacy, School of Medicine, Tzu Chi University, Hualien 97002, Taiwan
5
Department of Medical Imaging and Radiological Sciences, Tzu Chi University of Science and Technology, Hualien 97005, Taiwan
6
Department of Internal Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97002, Taiwan
7
Department of Cardiothoracic Surgery, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97002, Taiwan
8
Department of Radiation Oncology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97002, Taiwan
*
Author to whom correspondence should be addressed.
Diagnostics 2021, 11(6), 1065; https://doi.org/10.3390/diagnostics11061065
Submission received: 25 May 2021 / Revised: 7 June 2021 / Accepted: 8 June 2021 / Published: 9 June 2021
(This article belongs to the Special Issue Quantitative PET and SPECT)
Browse Figures
Versions Notes

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.
Keywords: 18F-FDG; PET; non-small cell lung cancer; prognosis; glycolytic; volumetric 18F-FDG; PET; non-small cell lung cancer; prognosis; glycolytic; volumetric

Share and Cite

MDPI and ACS Style

Chen, Y.-H.; Chu, S.-C.; Wang, L.-Y.; Wang, T.-F.; Lue, K.-H.; Lin, C.-B.; Chang, B.-S.; Liu, D.-W.; Liu, S.-H.; Chan, S.-C. 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. Diagnostics 2021, 11, 1065. https://doi.org/10.3390/diagnostics11061065

AMA Style

Chen Y-H, Chu S-C, Wang L-Y, Wang T-F, Lue K-H, Lin C-B, Chang B-S, Liu D-W, Liu S-H, Chan S-C. 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. Diagnostics. 2021; 11(6):1065. https://doi.org/10.3390/diagnostics11061065

Chicago/Turabian Style

Chen, Yu-Hung, Sung-Chao Chu, Ling-Yi Wang, Tso-Fu Wang, Kun-Han Lue, Chih-Bin Lin, Bee-Song Chang, Dai-Wei Liu, Shu-Hsin Liu, and Sheng-Chieh Chan. 2021. "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" Diagnostics 11, no. 6: 1065. https://doi.org/10.3390/diagnostics11061065

APA Style

Chen, Y.-H., Chu, S.-C., Wang, L.-Y., Wang, T.-F., Lue, K.-H., Lin, C.-B., Chang, B.-S., Liu, D.-W., Liu, S.-H., & Chan, S.-C. (2021). 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. Diagnostics, 11(6), 1065. https://doi.org/10.3390/diagnostics11061065

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop