BACKGROUND: Diffusion-weighted magnetic resonance imaging (DW-MRI) is utilized as a method of oncologic imaging for predicting treatment outcomes. This study explored the role of DW-MRI in the treatment of patients with resected pancreatic cancer by comparing apparent diffusion coefficient (ADC) values with clinicopathological findings and survival rates. MATERIALS AND METHODS: Records of 54 patients in whom DW-MRI at 1.5T was performed (b values: 0 and 1000 mm(2) /s) before macroscopically curative resection were analyzed. ADC values were then calculated and compared with clinicopathological factors including age, gender, serum carcinoembryonic antigen levels, serum carbohydrate antigen 19-9 levels, lymph node metastasis, primary tumoral location, size, differentiation, resectability, and pT stage. A survival analysis of clinicopathological factors and ADC values was performed using the Kaplan-Meier method, and the results were evaluated with the log-rank test. Prognostic significance was assessed using the Cox proportional hazard model. RESULTS: Significant associations were found between tumor differentiation and ADC values (P = 0.001). In a univariate analysis of overall survival, tumor differentiation (P = 0.037) and ADC values (P = 0.002) were identified as significant prognostic factors. However, age, gender, carcinoembryonic antigen levels, carbohydrate antigen 19-9 levels, lymph node metastasis, primary tumoral location, size, resectability, and pT stage were not associated with overall survival. In a multivariate analysis of overall survival, only ADC values were identified as significant prognostic factors (hazard ratio 2.293, 95% confidence interval 1.147-4.585, P = 0.019). CONCLUSION: ADC values were found to be associated with prognosis in patients with resected pancreatic cancer.
BACKGROUND: Diffusion-weighted magnetic resonance imaging (DW-MRI) is utilized as a method of oncologic imaging for predicting treatment outcomes. This study explored the role of DW-MRI in the treatment of patients with resected pancreatic cancer by comparing apparent diffusion coefficient (ADC) values with clinicopathological findings and survival rates. MATERIALS AND METHODS: Records of 54 patients in whom DW-MRI at 1.5T was performed (b values: 0 and 1000 mm(2) /s) before macroscopically curative resection were analyzed. ADC values were then calculated and compared with clinicopathological factors including age, gender, serum carcinoembryonic antigen levels, serum carbohydrate antigen 19-9 levels, lymph node metastasis, primary tumoral location, size, differentiation, resectability, and pT stage. A survival analysis of clinicopathological factors and ADC values was performed using the Kaplan-Meier method, and the results were evaluated with the log-rank test. Prognostic significance was assessed using the Cox proportional hazard model. RESULTS: Significant associations were found between tumor differentiation and ADC values (P = 0.001). In a univariate analysis of overall survival, tumor differentiation (P = 0.037) and ADC values (P = 0.002) were identified as significant prognostic factors. However, age, gender, carcinoembryonic antigen levels, carbohydrate antigen 19-9 levels, lymph node metastasis, primary tumoral location, size, resectability, and pT stage were not associated with overall survival. In a multivariate analysis of overall survival, only ADC values were identified as significant prognostic factors (hazard ratio 2.293, 95% confidence interval 1.147-4.585, P = 0.019). CONCLUSION: ADC values were found to be associated with prognosis in patients with resected pancreatic cancer.
Authors: Entesar Dalah; Beth Erickson; Kiyoko Oshima; Diane Schott; William A Hall; Eric Paulson; An Tai; Paul Knechtges; X Allen Li Journal: Transl Oncol Date: 2018-02-20 Impact factor: 4.243
Authors: Remy Klaassen; Anne Steins; Oliver J Gurney-Champion; Maarten F Bijlsma; Geertjan van Tienhoven; Marc R W Engelbrecht; Casper H J van Eijck; Mustafa Suker; Johanna W Wilmink; Marc G Besselink; Olivier R Busch; Onno J de Boer; Marc J van de Vijver; Gerrit K J Hooijer; Joanne Verheij; Jaap Stoker; Aart J Nederveen; Hanneke W M van Laarhoven Journal: Mol Oncol Date: 2020-06-23 Impact factor: 6.603
Authors: Vincent Dunet; Nermin Halkic; Christine Sempoux; Nicolas Demartines; Michael Montemurro; John O Prior; Sabine Schmidt Journal: Eur Radiol Date: 2020-08-26 Impact factor: 5.315