Elena Incerti1, Andrei Fodor2, Paola Mapelli1, Claudio Fiorino3, Pierpaolo Alongi1, Margarita Kirienko4, Giampiero Giovacchini5, Elena Busnardo1, Luigi Gianolli1, Nadia Di Muzio2, Maria Picchio6. 1. Department of Nuclear Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy. 2. Department of Radiotherapy, IRCCS San Raffaele Scientific Institute, Milan, Italy. 3. Department of Medical Physics, IRCCS San Raffaele Scientific Institute, Milan, Italy. 4. University of Milano-Bicocca, Milan, Italy; and. 5. Department of Radiology and Nuclear Medicine, Stadtspital Triemli, Zurich, Switzerland. 6. Department of Nuclear Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy picchio.maria@hsr.it.
Abstract
UNLABELLED: PET/CT is a valuable tool to detect lymph node (LN) metastases in patients with biochemical failure after primary treatment for prostate cancer (PCa). The aim was to assess the predictive role of imaging parameters derived by (11)C-choline PET/CT on survival outcomes-overall survival, locoregional relapse-free survival, clinical relapse-free survival (cRFS), and biochemical relapse-free survival (bRFS)-in patients treated with helical tomotherapy (HTT) for LN recurrence. METHODS: This retrospective study included 68 patients affected by PCa (mean age, 68 y; age range, 51-81 y) with biochemical recurrence after primary treatment (median prostate-specific antigen values obtained at the time of PET/CT scan, 2.42 ng/mL; range, 0.61-27.56 ng/mL) who underwent (11)C-choline PET/CT from January 2005 to January 2013 and were treated with HTT in correspondence of the pathologic choline LN uptake. PET-derived parameters, including maximum/mean standardized uptake value (SUVmax and SUVmean, respectively) and metabolic tumor volume (MTV) with a threshold of 40%, 50%, and 60% were calculated. The best cutoff values of PET-derived parameters discriminating between patients with and without relapse, after treatment guided by PET, were assessed by receiver-operating-characteristic (ROC) curve analysis. Univariate and multivariate Cox regression analysis including the most predictive PET-derived parameters and survival outcomes were performed. RESULTS: The median follow-up was 20 mo (mean, 26 mo; range, 3-97 mo). (11)C-choline PET/CT showed pathologic LN uptake in 4 patients at the pelvic level, in 5 at the abdominal level, in 13 at both the pelvic and the abdominal level, and in 46 at the abdominal or pelvic or other sites. The 2-y overall survival, locoregional relapse-free survival, cRFS, and bRFS were 87%, 91%, 51%, and 40%, respectively. On the basis of ROC curves, the most discriminative cutoff value for MTV values was an MTV threshold of 60% (MTV60) of greater than 0.64 cm(3). No significant cutoff values were found for SUVmax or SUVmean at univariate analysis, whereas MTV60 was confirmed as an independent predictor in multivariate analysis and significantly correlated with bRFS and cRFS. MTV60 and extrapelvic disease well predict the risk of cRFS. CONCLUSION: (11)C-choline PET/CT performed as a guide for HTT on LN recurrence is predictive of survival. In particular, MTV60 and extrapelvic disease were the best predictors of tumor response for bRFS and cRFS in PCa patients with LN recurrence after primary treatment. This information may be useful in emerging treatment strategies.
UNLABELLED: PET/CT is a valuable tool to detect lymph node (LN) metastases in patients with biochemical failure after primary treatment for prostate cancer (PCa). The aim was to assess the predictive role of imaging parameters derived by (11)C-choline PET/CT on survival outcomes-overall survival, locoregional relapse-free survival, clinical relapse-free survival (cRFS), and biochemical relapse-free survival (bRFS)-in patients treated with helical tomotherapy (HTT) for LN recurrence. METHODS: This retrospective study included 68 patients affected by PCa (mean age, 68 y; age range, 51-81 y) with biochemical recurrence after primary treatment (median prostate-specific antigen values obtained at the time of PET/CT scan, 2.42 ng/mL; range, 0.61-27.56 ng/mL) who underwent (11)C-choline PET/CT from January 2005 to January 2013 and were treated with HTT in correspondence of the pathologic choline LN uptake. PET-derived parameters, including maximum/mean standardized uptake value (SUVmax and SUVmean, respectively) and metabolic tumor volume (MTV) with a threshold of 40%, 50%, and 60% were calculated. The best cutoff values of PET-derived parameters discriminating between patients with and without relapse, after treatment guided by PET, were assessed by receiver-operating-characteristic (ROC) curve analysis. Univariate and multivariate Cox regression analysis including the most predictive PET-derived parameters and survival outcomes were performed. RESULTS: The median follow-up was 20 mo (mean, 26 mo; range, 3-97 mo). (11)C-choline PET/CT showed pathologic LN uptake in 4 patients at the pelvic level, in 5 at the abdominal level, in 13 at both the pelvic and the abdominal level, and in 46 at the abdominal or pelvic or other sites. The 2-y overall survival, locoregional relapse-free survival, cRFS, and bRFS were 87%, 91%, 51%, and 40%, respectively. On the basis of ROC curves, the most discriminative cutoff value for MTV values was an MTV threshold of 60% (MTV60) of greater than 0.64 cm(3). No significant cutoff values were found for SUVmax or SUVmean at univariate analysis, whereas MTV60 was confirmed as an independent predictor in multivariate analysis and significantly correlated with bRFS and cRFS. MTV60 and extrapelvic disease well predict the risk of cRFS. CONCLUSION: (11)C-choline PET/CT performed as a guide for HTT on LN recurrence is predictive of survival. In particular, MTV60 and extrapelvic disease were the best predictors of tumor response for bRFS and cRFS in PCa patients with LN recurrence after primary treatment. This information may be useful in emerging treatment strategies.
Authors: Giampiero Giovacchini; Priscilla Guglielmo; Paola Mapelli; Elena Incerti; Ana Maria Samanes Gajate; Elisabetta Giovannini; Mattia Riondato; Alberto Briganti; Luigi Gianolli; Andrea Ciarmiello; Maria Picchio Journal: Eur J Nucl Med Mol Imaging Date: 2019-01-10 Impact factor: 9.236
Authors: Andrei Fodor; Andrea Lancia; Francesco Ceci; Maria Picchio; Morten Hoyer; Barbara Alicja Jereczek-Fossa; Piet Ost; Paolo Castellucci; Elena Incerti; Nadia Di Muzio; Gianluca Ingrosso Journal: World J Urol Date: 2018-05-11 Impact factor: 4.226
Authors: Pierpaolo Alongi; Riccardo Laudicella; Helena Lanzafame; Andrea Farolfi; Paola Mapelli; Maria Picchio; Irene A Burger; Andrei Iagaru; Fabio Minutoli; Laura Evangelista Journal: Cancers (Basel) Date: 2022-03-31 Impact factor: 6.639
Authors: Gaël Amzalag; Olivier Rager; Claire Tabouret-Viaud; Michael Wissmeyer; Electra Sfakianaki; Thomas de Perrot; Osman Ratib; Raymond Miralbell; Giampiero Giovacchini; Valentina Garibotto; Thomas Zilli Journal: Front Oncol Date: 2016-03-31 Impact factor: 6.244