PURPOSE: Malignant pleural mesothelioma (MPM) is a disease with poor prognosis despite multimodal therapy but there is variation in survival between patients. Prognostic information is therefore potentially valuable in managing patients, particularly in the context of clinical trials where patients could be stratified according to risk. Therefore we have evaluated the prognostic ability of parameters derived from baseline 2-[(18)F]fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography ((18)F-FDG PET/CT). METHODS: In order to determine the relationships between metabolic activity and prognosis we reviewed all (18)F-FDG PET/CT scans used for pretreatment staging of MPM patients in our institution between January 2005 and December 2011 (n = 60) and measured standardised uptake values (SUV) including mean, maximum and peak values, metabolic tumour volume (MTV) and total lesion glycolysis (TLG). Overall survival (OS) or time to last censor was recorded, as well as histological subtypes. RESULTS: Median follow-up was 12.7 months (1.9-60.9) and median OS was 14.1 months (1.9-54.9). By univariable analysis histological subtype (p = 0.013), TLG (p = 0.024) and MTV (p = 0.038) were significantly associated with OS and SUVmax was borderline (p = 0.051). On multivariable analysis histological subtype and TLG were associated with OS but at borderline statistical significance (p = 0.060 and 0.058, respectively). No statistically significant differences in any PET parameters were found between the epithelioid and non-epithelioid histological subtypes. CONCLUSION: (18)F-FDG PET/CT parameters that take into account functional volume (MTV, TLG) show significant associations with survival in patients with MPM before adjusting for histological subtype and are worthy of further evaluation to determine their ability to stratify patients in clinical trials.
PURPOSE:Malignant pleural mesothelioma (MPM) is a disease with poor prognosis despite multimodal therapy but there is variation in survival between patients. Prognostic information is therefore potentially valuable in managing patients, particularly in the context of clinical trials where patients could be stratified according to risk. Therefore we have evaluated the prognostic ability of parameters derived from baseline 2-[(18)F]fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography ((18)F-FDG PET/CT). METHODS: In order to determine the relationships between metabolic activity and prognosis we reviewed all (18)F-FDG PET/CT scans used for pretreatment staging of MPM patients in our institution between January 2005 and December 2011 (n = 60) and measured standardised uptake values (SUV) including mean, maximum and peak values, metabolic tumour volume (MTV) and total lesion glycolysis (TLG). Overall survival (OS) or time to last censor was recorded, as well as histological subtypes. RESULTS: Median follow-up was 12.7 months (1.9-60.9) and median OS was 14.1 months (1.9-54.9). By univariable analysis histological subtype (p = 0.013), TLG (p = 0.024) and MTV (p = 0.038) were significantly associated with OS and SUVmax was borderline (p = 0.051). On multivariable analysis histological subtype and TLG were associated with OS but at borderline statistical significance (p = 0.060 and 0.058, respectively). No statistically significant differences in any PET parameters were found between the epithelioid and non-epithelioid histological subtypes. CONCLUSION: (18)F-FDG PET/CT parameters that take into account functional volume (MTV, TLG) show significant associations with survival in patients with MPM before adjusting for histological subtype and are worthy of further evaluation to determine their ability to stratify patients in clinical trials.
Authors: Loïc Lang-Lazdunski; Andrea Bille; Rohit Lal; Paul Cane; Emma McLean; David Landau; Jeremy Steele; James Spicer Journal: J Thorac Oncol Date: 2012-04 Impact factor: 15.609
Authors: D B Schneider; C Clary-Macy; S Challa; K C Sasse; S H Merrick; R Hawkins; G Caputo; D Jablons Journal: J Thorac Cardiovasc Surg Date: 2000-07 Impact factor: 5.209
Authors: Jeremy J Erasmus; Mylene T Truong; W Roy Smythe; Reginald F Munden; Edith M Marom; David C Rice; Ara A Vaporciyan; Garrett L Walsh; Bradley S Sabloff; Lyle D Broemeling; Craig W Stevens; Katherine M Pisters; Donald A Podoloff; Homer A Macapinlac Journal: J Thorac Cardiovasc Surg Date: 2005-06 Impact factor: 5.209
Authors: Steven M. Larson; Yusuf Erdi; Timothy Akhurst; Madhu Mazumdar; Homer A. Macapinlac; Ronald D. Finn; Cecille Casilla; Melissa Fazzari; Neil Srivastava; Henry W.D. Yeung; John L. Humm; Jose Guillem; Robert Downey; Martin Karpeh; Alfred E. Cohen; Robert Ginsberg Journal: Clin Positron Imaging Date: 1999-05
Authors: Genevieve B Melton; William C Lavely; Heather A Jacene; Richard D Schulick; Michael A Choti; Richard L Wahl; Susan L Gearhart Journal: J Gastrointest Surg Date: 2007-08 Impact factor: 3.452
Authors: Martin F Muers; Richard J Stephens; Patricia Fisher; Liz Darlison; Christopher M B Higgs; Erica Lowry; Andrew G Nicholson; Mary O'Brien; Michael Peake; Robin Rudd; Michael Snee; Jeremy Steele; David J Girling; Matthew Nankivell; Cheryl Pugh; Mahesh K B Parmar Journal: Lancet Date: 2008-05-17 Impact factor: 79.321
Authors: Egesta Lopci; Paolo Andrea Zucali; Giovanni Luca Ceresoli; Matteo Perrino; Laura Giordano; Letizia Gianoncelli; Elena Lorenzi; Maria Gemelli; Armando Santoro; Arturo Chiti Journal: Eur J Nucl Med Mol Imaging Date: 2014-11-18 Impact factor: 9.236
Authors: Eric M Rohren; Elba C Etchebehere; John C Araujo; Brian P Hobbs; Nancy M Swanston; Michael Everding; Tracy Moody; Homer A Macapinlac Journal: J Nucl Med Date: 2015-07-01 Impact factor: 10.057
Authors: James C Reynolds; Roberto Maass-Moreno; Anish Thomas; Alexander Ling; Emerson B Padiernos; Seth M Steinberg; Raffit Hassan Journal: J Nucl Med Date: 2020-04-13 Impact factor: 11.082