ABSTRACT
AIM: To examine whether Positron Emission Tomography Response Criteria in Solid Tumours (PERCIST) is useful to predict tumour response and prognosis of patients with oesophageal cancer who received neoadjuvant chemoradiotherapy (NACRT) followed by surgery. MATERIALS AND METHODS: This multicentre retrospective study included 60 patients with oesophageal cancer who underwent 2-[18F]-fluoro-2-deoxy-d-glucose positron-emission tomography/computed tomography (18F-FDG-PET/CT) before and after NACRT prior to surgery from January 2007 and June 2016. The correlation between pathological response and PERCIST was assessed by χ2 test. The prognostic significance was assessed by the Kaplan-Meier method and Cox regression analysis. RESULTS: There were 30 responders and 30 non-responders pathologically. The complete metabolic response (CMR), partial metabolic response (PMR), stable metabolic disease (SMD), and progressive metabolic disease (PMD) were seen in 22, 29, seven, and two patients, respectively. There was a significant correlation between pathological response and PERCIST (p<0.001). Forty patients showed eventual progression, and 20 patients were alive without progression between the start of NACRT and last clinical follow-up (median follow-up period; 27 months [range, 3-107]). Pathological stage and PERCIST were significant for progression-free survival (PFS; p=0.044 and 0.006, respectively) and also significant for overall survival (OS; p=0.009 and 0.001, respectively) at univariate analysis. Pathological lymph node staging was also significant for OS at univariate analysis (p=0.018). At multivariate analysis, PERCIST remained significant and independent for PFS (hazard ratio [HR]: 1.59, p=0.046) and OS (HR: 1.82, p=0.008). CONCLUSION: PERCIST may be useful for predicting tumour response and prognosis of patients with oesophageal cancer who received NACRT.
Subject(s)
Esophageal Neoplasms/diagnostic imaging , Esophageal Neoplasms/therapy , Positron-Emission Tomography , Adult , Aged , Chemoradiotherapy , Esophageal Neoplasms/pathology , Female , Fluorodeoxyglucose F18 , Humans , Japan , Lymphatic Metastasis , Male , Middle Aged , Neoadjuvant Therapy , Predictive Value of Tests , Prognosis , Radiopharmaceuticals , Retrospective StudiesABSTRACT
BACKGROUND AND PURPOSE: (62)Cu-diacetyl-bis(N(4)-methylthiosemicarbazone) was developed as a hypoxic radiotracer in PET. We compared imaging features among MR imaging and (62)Cu-diacetyl-bis(N(4)-methylthiosemicarbazone)-PET, FDG-PET, and L-methyl-[(11)C]methionine)-PET in gliomas. MATERIALS AND METHODS: We enrolled 23 patients who underwent (62)Cu-diacetyl-bis(N(4)-methylthiosemicarbazone)-PET and FDG-PET and 19 (82.6%) who underwent L-methyl-[(11)C]methionine)-PET, with all 23 patients undergoing surgery and their diagnosis being then confirmed by histologic examination as a glioma. Semiquantitative and volumetric analysis were used for the comparison. RESULTS: There were 10 newly diagnosed glioblastoma multiforme and 13 nonglioblastoma multiforme (grades II and III), including 4 recurrences without any adjuvant treatment. The maximum standardized uptake value and tumor/background ratios of (62)Cu-diacetyl-bis(N(4)-methylthiosemicarbazone), as well as L-methyl-[(11)C]methionine, were significantly higher in glioblastoma multiforme than in nonglioblastoma multiforme (P = .03 and P = .03, respectively); no significant differences were observed on FDG. At a tumor/background ratio cutoff threshold of 1.9, (62)Cu-diacetyl-bis(N(4)-methylthiosemicarbazone) was most predictive of glioblastoma multiforme, with 90.0% sensitivity and 76.9% specificity. The positive and negative predictive values, respectively, for glioblastoma multiforme were 75.0% and 85.7% on (62)Cu-diacetyl-bis(N(4)-methylthiosemicarbazone), 83.3% and 60.0% on L-methyl-[(11)C]methionine, and 72.7% and 75.0% on MR imaging. In glioblastoma multiforme, volumetric analysis demonstrated that (62)Cu-diacetyl-bis(N(4)-methylthiosemicarbazone) uptake had significant correlations with FDG (r = 0.68, P = .03) and L-methyl-[(11)C]methionine (r = 0.87, P = .03). However, the (62)Cu-diacetyl-bis(N(4)-methylthiosemicarbazone)-active region was heterogeneously distributed in 50.0% (5/10) of FDG-active and 0% (0/6) of L-methyl-[(11)C]methionine)-active regions. CONCLUSIONS: (62)Cu-diacetyl-bis(N(4)-methylthiosemicarbazone) may be a practical radiotracer in the prediction of glioblastoma multiforme. In addition to FDG-PET, L-methyl-[(11)C]methionine)-PET, and MR imaging, (62)Cu-diacetyl-bis(N(4)-methylthiosemicarbazone)-PET may provide intratumoral hypoxic information useful in establishing targeted therapeutic strategies for patients with glioblastoma multiforme.
