BACKGROUND: The purpose of this study was to assess whether apparent diffusion coefficient (ADC) values of esophageal squamous cell carcinoma (ESCC) predict responses to chemoradiotherapy (CRT) and/or patient prognosis. METHODS: Magnetic resonance images were acquired to construct the diffusion-weighted images, and the ADC values were calculated before CRT in 80 patients with ESCC. A high-ADC group responded better to CRT than did a low-ADC group (p < 0.01). We divided the 80 patients into two groups based on the operating characteristic analysis: one group comprised patients with ADC values higher than the average ADC of the esophageal cancer tissue (1.10 × 10(-3) mm2/s), and the other group comprised those whose ADC values were less than the average value. A Kaplan-Meier analysis showed that the survival rate in the high-ADC group was significantly better than that in the low-ADC group (p = 0.04). CONCLUSION: Our results indicate that the ADC value may be a useful marker to predict treatment response as well as survival for patients with ESCC.
BACKGROUND: The purpose of this study was to assess whether apparent diffusion coefficient (ADC) values of esophageal squamous cell carcinoma (ESCC) predict responses to chemoradiotherapy (CRT) and/or patient prognosis. METHODS: Magnetic resonance images were acquired to construct the diffusion-weighted images, and the ADC values were calculated before CRT in 80 patients with ESCC. A high-ADC group responded better to CRT than did a low-ADC group (p < 0.01). We divided the 80 patients into two groups based on the operating characteristic analysis: one group comprised patients with ADC values higher than the average ADC of the esophageal cancer tissue (1.10 × 10(-3) mm2/s), and the other group comprised those whose ADC values were less than the average value. A Kaplan-Meier analysis showed that the survival rate in the high-ADC group was significantly better than that in the low-ADC group (p = 0.04). CONCLUSION: Our results indicate that the ADC value may be a useful marker to predict treatment response as well as survival for patients with ESCC.
Authors: Francesco Giganti; Annalaura Salerno; Alessandro Ambrosi; Damiano Chiari; Elena Orsenigo; Antonio Esposito; Luca Albarello; Elena Mazza; Carlo Staudacher; Alessandro Del Maschio; Francesco De Cobelli Journal: Radiol Med Date: 2015-09-21 Impact factor: 3.469
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Authors: Peter S N van Rossum; Richard van Hillegersberg; Frederiek M Lever; Irene M Lips; Astrid L H M W van Lier; Gert J Meijer; Maarten S van Leeuwen; Marco van Vulpen; Jelle P Ruurda Journal: Eur Radiol Date: 2013-02-13 Impact factor: 5.315
Authors: Alicia S Borggreve; Lucas Goense; Peter S N van Rossum; Sophie E Heethuis; Richard van Hillegersberg; Jan J W Lagendijk; Marnix G E H Lam; Astrid L H M W van Lier; Stella Mook; Jelle P Ruurda; Marco van Vulpen; Francine E M Voncken; Berthe M P Aleman; Annemarieke Bartels-Rutten; Jingfei Ma; Penny Fang; Benjamin C Musall; Steven H Lin; Gert J Meijer Journal: Int J Radiat Oncol Biol Phys Date: 2020-01-25 Impact factor: 7.038
Authors: Robert M Kwee; Alexander K Dik; Meindert N Sosef; Ralph C M Berendsen; Sander Sassen; Guido Lammering; Ruud Clarijs; Liekele E Oostenbrug; Rachel L G M Blom; Roy F A Vliegen Journal: PLoS One Date: 2014-04-04 Impact factor: 3.240