F P Li1, H Wang2, J Hou1, J Tang2, Q Lu1, L L Wang1, X P Yu3. 1. Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China. 2. Department of Thorax Radiation Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China. 3. Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China. Electronic address: yuxiaoping@hnszlyy.com.
Abstract
AIM: To investigate the utility of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) in predicting the early response to concurrent chemoradiotherapy (CRT) in oesophageal squamous cell carcinoma (OSCC). MATERIALS AND METHODS: Thirty-three patients with OSCC who received CRT underwent IVIM-DWI at three time points (before CRT, at the end of radiotherapy 20 Gy, and immediately after CRT). After CRT, the patients were divided into the responders (complete response or partial response) and the non-responders (stable disease) based on RECIST 1.1. The IVIM-DWI parameters (apparent diffusion coefficient [ADC], true diffusion coefficient [D], the pseudo-diffusion coefficient [D*], and the perfusion fraction [f]) values and their percentage changes (Δvalue) at different time points were compared between the responders and the non-responders. Receiver-operating characteristic (ROC) curve analysis was used to determine the efficacy of IVIM-DWI parameters in identifying the response to CRT. RESULTS: The tumour regression ratio showed negative correlations with ADCpre (r=-0.610, p=0.000), ADC20 Gy (r=-0.518, p=0.002), Dpre (r=-0.584, p=0.000), and D20 Gy (r=-0.454, p=0.008), and positive correlation with ΔD20 Gy (r=0.361, p=0.039) and ΔDpost (r=0.626, p=0.000). Compared to the non-responders, the responders exhibited lower ADCpre, Dpre, ADC20 Gy, and D20 Gy, as well as higher ΔADC20 Gy, ΔD20 Gy, and ΔDpost (all p<0.05). Dpre had the highest sensitivity (92.9%) and value of area under the ROC curve (0.865) in differentiating the responders from the non-responders. CONCLUSION: Diffusion-related IVIM-DWI parameters (ADC and D) are potentially helpful in predicting the early treatment effect of CRT in OSCC.
AIM: To investigate the utility of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) in predicting the early response to concurrent chemoradiotherapy (CRT) in oesophageal squamous cell carcinoma (OSCC). MATERIALS AND METHODS: Thirty-three patients with OSCC who received CRT underwent IVIM-DWI at three time points (before CRT, at the end of radiotherapy 20 Gy, and immediately after CRT). After CRT, the patients were divided into the responders (complete response or partial response) and the non-responders (stable disease) based on RECIST 1.1. The IVIM-DWI parameters (apparent diffusion coefficient [ADC], true diffusion coefficient [D], the pseudo-diffusion coefficient [D*], and the perfusion fraction [f]) values and their percentage changes (Δvalue) at different time points were compared between the responders and the non-responders. Receiver-operating characteristic (ROC) curve analysis was used to determine the efficacy of IVIM-DWI parameters in identifying the response to CRT. RESULTS: The tumour regression ratio showed negative correlations with ADCpre (r=-0.610, p=0.000), ADC20 Gy (r=-0.518, p=0.002), Dpre (r=-0.584, p=0.000), and D20 Gy (r=-0.454, p=0.008), and positive correlation with ΔD20 Gy (r=0.361, p=0.039) and ΔDpost (r=0.626, p=0.000). Compared to the non-responders, the responders exhibited lower ADCpre, Dpre, ADC20 Gy, and D20 Gy, as well as higher ΔADC20 Gy, ΔD20 Gy, and ΔDpost (all p<0.05). Dpre had the highest sensitivity (92.9%) and value of area under the ROC curve (0.865) in differentiating the responders from the non-responders. CONCLUSION: Diffusion-related IVIM-DWI parameters (ADC and D) are potentially helpful in predicting the early treatment effect of CRT in OSCC.
Authors: William A Hall; Eric S Paulson; Uulke A van der Heide; Clifton D Fuller; B W Raaymakers; Jan J W Lagendijk; X Allen Li; David A Jaffray; Laura A Dawson; Beth Erickson; Marcel Verheij; Kevin J Harrington; Arjun Sahgal; Percy Lee; Parag J Parikh; Michael F Bassetti; Clifford G Robinson; Bruce D Minsky; Ananya Choudhury; Robert J H A Tersteeg; Christopher J Schultz Journal: Eur J Cancer Date: 2019-10-12 Impact factor: 9.162