G Mehta1, A Chander1, C Huang2, M Kelly2, P Fielding3. 1. All Wales Research and Diagnostic Positron Emission Tomography Centre in Cardiff (PETIC), Department of Radiology, University Hospital of Wales, Heath Park, Cardiff, UK. 2. South East Wales Trials Unit/Research Design and Conduct Service, Cardiff University School of Medicine, Heath Park, Cardiff, UK. 3. All Wales Research and Diagnostic Positron Emission Tomography Centre in Cardiff (PETIC), Department of Radiology, University Hospital of Wales, Heath Park, Cardiff, UK. Electronic address: Patrick.fielding@wales.nhs.uk.
Abstract
AIM: To assess the feasibility and prognostic value of measuring total lesion glycolysis of the primary tumour (TLG(primary)) using combined 2-[18F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography/computed tomography (PET/CT) in patients with proven or suspected non-small-cell lung cancer (NSCLC) in the routine diagnostic setting. MATERIALS AND METHODS: At the All wales Research and Diagnostic Positron Emission Tomography Centre in Cardiff (PETIC), in the calendar year 2011, 288 consecutive patients were identified with a single pulmonary mass in whom NSCLC was confirmed or clinically diagnosed following multidisciplinary team review. In a retrospective analysis, for each patient the PET-derived volume of the primary tumour and SUVMEAN was calculated using adaptive thresholds of 40% and 50% of the SUVMAX of the primary tumour. The TLG(primary) (calculated by volume x SUVMEAN) was calculated at these two thresholds and was used to predict survival in a multivariate analysis with TNM (tumour, node, metastasis) stage, age, sex, and SUV(MAX). The primary endpoint was overall survival over a minimum follow-up of at least 7 months. RESULTS: In virtually every case, the primary tumour could be measured using the automated software with minimal use of manual adjustments. In multivariate analysis, TNM clinical stage, log(TLG(primary)) and sex were independent predictors of overall survival. CONCLUSION: Measurements of primary tumour total lesion glycolysis are simple to perform and provide additional prognostic information over and above that provided by TNM staging.
AIM: To assess the feasibility and prognostic value of measuring total lesion glycolysis of the primary tumour (TLG(primary)) using combined 2-[18F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography/computed tomography (PET/CT) in patients with proven or suspected non-small-cell lung cancer (NSCLC) in the routine diagnostic setting. MATERIALS AND METHODS: At the All wales Research and Diagnostic Positron Emission Tomography Centre in Cardiff (PETIC), in the calendar year 2011, 288 consecutive patients were identified with a single pulmonary mass in whom NSCLC was confirmed or clinically diagnosed following multidisciplinary team review. In a retrospective analysis, for each patient the PET-derived volume of the primary tumour and SUVMEAN was calculated using adaptive thresholds of 40% and 50% of the SUVMAX of the primary tumour. The TLG(primary) (calculated by volume x SUVMEAN) was calculated at these two thresholds and was used to predict survival in a multivariate analysis with TNM (tumour, node, metastasis) stage, age, sex, and SUV(MAX). The primary endpoint was overall survival over a minimum follow-up of at least 7 months. RESULTS: In virtually every case, the primary tumour could be measured using the automated software with minimal use of manual adjustments. In multivariate analysis, TNM clinical stage, log(TLG(primary)) and sex were independent predictors of overall survival. CONCLUSION: Measurements of primary tumour total lesion glycolysis are simple to perform and provide additional prognostic information over and above that provided by TNM staging.
Authors: Ivayla Apostolova; Julian Rogasch; Ralph Buchert; Heinz Wertzel; H Jost Achenbach; Jens Schreiber; Sandra Riedel; Christian Furth; Alexandr Lougovski; Georg Schramm; Frank Hofheinz; Holger Amthauer; Ingo G Steffen Journal: BMC Cancer Date: 2014-12-01 Impact factor: 4.430
Authors: Stephen Baek; Yusen He; Bryan G Allen; John M Buatti; Brian J Smith; Ling Tong; Zhiyu Sun; Jia Wu; Maximilian Diehn; Billy W Loo; Kristin A Plichta; Steven N Seyedin; Maggie Gannon; Katherine R Cabel; Yusung Kim; Xiaodong Wu Journal: Sci Rep Date: 2019-11-21 Impact factor: 4.379