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Developing and validating a novel metabolic tumor volume risk stratification system for supplementing non-small cell lung cancer staging.


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 type of PET/CT scanner 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 cut-off values (10.0, 53.4 and 155.0 mL) between the MTVwb quartiles of the modeling cohort were applied to both the 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?

SUBMITTER: Pu Y 

PROVIDER: S-EPMC6286257 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Developing and validating a novel metabolic tumor volume risk stratification system for supplementing non-small cell lung cancer staging.

Pu Yonglin Y   Zhang James X JX   Liu Haiyan H   Appelbaum Daniel D   Meng Jianfeng J   Penney Bill C BC  

European journal of nuclear medicine and molecular imaging 20180607 12


<h4>Purpose</h4>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.<h4>Methods</h4>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 type of PET/CT scan  ...[more]

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