OBJECTIVE: Induction therapy followed by surgery is a promising strategy for esophageal cancer patients with invasion of the trachea/bronchus or aorta. However, no diagnostic criteria have been established to diagnose whether R0 resection can be performed. We investigated whether 18F-2-deoxy-D-glucose positron emission tomography (18F-FDG-PET) and other modalities are useful for predicting R0 resection. METHODS: Fifty-seven patients with esophageal cancer invading the trachea/bronchus or aorta who underwent induction therapy followed by surgery were enrolled. We divided the participants into two groups, an R0 resection group (n = 43) and a non-R0 resection group (n = 14), and then compared the between-group results of three modalities, including computed tomography (CT), endoscopy and 18F-FDG-PET, before and after induction therapy. RESULTS: The post-maximal standardized uptake value (SUVmax) after induction therapy in the R0 resection group was significantly lower than that in the non-R0 resection group (4.4 vs. 6.6, p = 0.005). The receiver operating characteristic curve analysis showed that the cut-off value for the post-SUVmax based on 18F-FDG-PET prediction of R0 resection was 4.7. Furthermore, a tumor reduction rate of ≥44% on CT, no residual stenosis, and no deep ulcer on endoscopy were associated with R0 resection after induction therapy (p = 0.002, p = 0.091, and p = 0.059, respectively). Multivariate logistic analyses revealed that the tumor reduction rate on CT and post-SUVmax <4.7 in 18F-FDG-PET were independent factors for R0 resection. CONCLUSIONS: The post-SUVmax determined by 18F-FDG-PET and the volume reduction rate based on CT scans were useful for predicting R0 resection after induction therapy for initially unresectable locally advanced esophageal carcinoma.
OBJECTIVE: Induction therapy followed by surgery is a promising strategy for esophageal cancerpatients with invasion of the trachea/bronchus or aorta. However, no diagnostic criteria have been established to diagnose whether R0 resection can be performed. We investigated whether 18F-2-deoxy-D-glucose positron emission tomography (18F-FDG-PET) and other modalities are useful for predicting R0 resection. METHODS: Fifty-seven patients with esophageal cancer invading the trachea/bronchus or aorta who underwent induction therapy followed by surgery were enrolled. We divided the participants into two groups, an R0 resection group (n = 43) and a non-R0 resection group (n = 14), and then compared the between-group results of three modalities, including computed tomography (CT), endoscopy and 18F-FDG-PET, before and after induction therapy. RESULTS: The post-maximal standardized uptake value (SUVmax) after induction therapy in the R0 resection group was significantly lower than that in the non-R0 resection group (4.4 vs. 6.6, p = 0.005). The receiver operating characteristic curve analysis showed that the cut-off value for the post-SUVmax based on 18F-FDG-PET prediction of R0 resection was 4.7. Furthermore, a tumor reduction rate of ≥44% on CT, no residual stenosis, and no deep ulcer on endoscopy were associated with R0 resection after induction therapy (p = 0.002, p = 0.091, and p = 0.059, respectively). Multivariate logistic analyses revealed that the tumor reduction rate on CT and post-SUVmax <4.7 in 18F-FDG-PET were independent factors for R0 resection. CONCLUSIONS: The post-SUVmax determined by 18F-FDG-PET and the volume reduction rate based on CT scans were useful for predicting R0 resection after induction therapy for initially unresectable locally advanced esophageal carcinoma.
Authors: K Ikeda; K Ishida; N Sato; K Koeda; K Aoki; Y Kimura; T Iwaya; S Ogasawara; S Iijima; R Nakamura; N Uesugi; C Maesawa; K Saito Journal: Dis Esophagus Date: 2001 Impact factor: 3.429
Authors: Giovanni de Manzoni; Corrado Pedrazzani; Felice Pasini; Marco Bernini; Anna Maria Minicozzi; Simone Giacopuzzi; Antonio Grandinetti; Claudio Cordiano Journal: J Surg Oncol Date: 2007-03-01 Impact factor: 3.454
Authors: A Ohtsu; N Boku; K Muro; K Chin; M Muto; S Yoshida; M Satake; S Ishikura; T Ogino; Y Miyata; S Seki; K Kaneko; A Nakamura Journal: J Clin Oncol Date: 1999-09 Impact factor: 44.544
Authors: Daniel Vallböhmer; Arnulf H Hölscher; Markus Dietlein; Elfriede Bollschweiler; Stephan E Baldus; Stefan P Mönig; Ralf Metzger; Harald Schicha; Matthias Schmidt Journal: Ann Surg Date: 2009-12 Impact factor: 12.969