1. Developing and validating a novel metabolic tumor volume risk stratification system for supplementing non-small cell lung cancer staging
- Author
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James X. Zhang, Jianfeng Meng, Haiyan Liu, Daniel Appelbaum, Yonglin Pu, and Bill C. Penney
- Subjects
Male ,Oncology ,medicine.medical_specialty ,Lung Neoplasms ,Article ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Fluorodeoxyglucose F18 ,Carcinoma, Non-Small-Cell Lung ,Positron Emission Tomography Computed Tomography ,Internal medicine ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Stage (cooking) ,Aged ,Neoplasm Staging ,Proportional hazards model ,business.industry ,General Medicine ,Metabolic tumor volume ,Middle Aged ,Reference Standards ,Tumor Burden ,Quartile ,030220 oncology & carcinogenesis ,Risk stratification ,Cohort ,Female ,Non small cell ,Radiopharmaceuticals ,Lung cancer staging ,business - Abstract
PURPOSE: We hypothesized that whole-body metabolic tumor volume (MTVwb) could be used to supplement non-small cell lung cancer (NSCLC) staging due to its independent prognostic value. The goal of this study was to develop and validate a novel MTVwb risk stratification system to supplement NSCLC staging. METHODS: We performed an IRB-approved retrospective review of 935 patients with NSCLC and FDG avid tumor divided into modeling and validation cohorts based on the PET/CT scanner type used for imaging. In addition, sensitivity analysis was conducted by dividing the patient population into two randomized cohorts. Cox regression and Kaplan-Meier survival analyses were performed to determine the prognostic value of the MTVwb risk stratification system. RESULTS: The cutoff values (10.0, 53.4 and 155.0 mL) between the MTVwb quartiles of the modeling cohort were applied to both modeling and validation cohorts to determine each patient’s MTVwb risk stratum. The survival analyses showed that a lower MTVwb risk stratum was associated with better overall survival (all p
- Published
- 2018
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