Yu Xiao-ping1,2, Hou Jing2, Li Fei-ping2, Hu Yin3, Lu Qiang2, Wang Lanlan2, Wang Wei1. 1. Department of Radiology, the third Xiangya Hospital, Central South University, Changsha, Hunan, China. 2. Department of Diagnostic Radiology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China. 3. Department of Radiotherapy, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Abstract
BACKGROUND: To investigate the value of intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (DW-MRI) in predicting the early response to induction chemotherapy (IC) and chemoradiotherapy (CRT) in nasopharyngeal carcinoma (NPC). METHODS: Fifty NPC patients who received IC and CRT underwent an IVIM DW-MRI on a 1.5-Tesla MRI scanner. The pretreatment and posttreatment (20 days after IC initiation) IVIM-based parameters (ADC, D, D*, and f), and their percentage changes (△%), were compared between the effective (complete response or partial response) and ineffective (stable disease) groups based on RECIST 1.1, and between the residual and nonresidual groups. RESULTS: None of the perfusion-related parameter' values showed significant differences between the effective and ineffective groups (p values for pref, postf, △%f, preD*, postD*, and △%D* were 0.364, 0.129, 0.792, 0.804, 0.167, and 0.428, respectively), or between the residual and nonresidual groups (P values for pref, postf, △%f, preD*, postD*, and △%D* were 0.328, 0.776, 0.546, 0.558, 0.214, and 0.414, respectively). The ineffective group exhibited higher preADC, higher preD and lower △%D values than the effective group (all P < 0.001). The nonresidual group had lower preD, lower preADC and higher △%D values (all P < 0.05) than the residual group. △%D had the highest area under curve (0.859) in predicting the response to IC, whereas preD had the highest area under curve (0.841) in predicting tumor residue after CRT. CONCLUSION: Diffusion-related IVIM-based parameters might be more helpful than perfusion-related parameters in predicting the early effects of IC and CRT for NPC.
BACKGROUND: To investigate the value of intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (DW-MRI) in predicting the early response to induction chemotherapy (IC) and chemoradiotherapy (CRT) in nasopharyngeal carcinoma (NPC). METHODS: Fifty NPC patients who received IC and CRT underwent an IVIM DW-MRI on a 1.5-Tesla MRI scanner. The pretreatment and posttreatment (20 days after IC initiation) IVIM-based parameters (ADC, D, D*, and f), and their percentage changes (△%), were compared between the effective (complete response or partial response) and ineffective (stable disease) groups based on RECIST 1.1, and between the residual and nonresidual groups. RESULTS: None of the perfusion-related parameter' values showed significant differences between the effective and ineffective groups (p values for pref, postf, △%f, preD*, postD*, and △%D* were 0.364, 0.129, 0.792, 0.804, 0.167, and 0.428, respectively), or between the residual and nonresidual groups (P values for pref, postf, △%f, preD*, postD*, and △%D* were 0.328, 0.776, 0.546, 0.558, 0.214, and 0.414, respectively). The ineffective group exhibited higher preADC, higher preD and lower △%D values than the effective group (all P < 0.001). The nonresidual group had lower preD, lower preADC and higher △%D values (all P < 0.05) than the residual group. △%D had the highest area under curve (0.859) in predicting the response to IC, whereas preD had the highest area under curve (0.841) in predicting tumor residue after CRT. CONCLUSION: Diffusion-related IVIM-based parameters might be more helpful than perfusion-related parameters in predicting the early effects of IC and CRT for NPC.
Authors: Lennart Well; Johannes Salamon; Michael G Kaul; Said Farschtschi; Jochen Herrmann; Karin I Geier; Christian Hagel; Maximilian Bockhorn; Peter Bannas; Gerhard Adam; Victor F Mautner; Thorsten Derlin Journal: Neuro Oncol Date: 2019-03-18 Impact factor: 12.300
Authors: Qi-Yong Ai; Ann D King; Janet S M Chan; Weitian Chen; K C Allen Chan; John K S Woo; Benny C Y Zee; Anthony T C Chan; Darren M C Poon; Brigette B Y Ma; Edwin P Hui; Anil T Ahuja; Alexander C Vlantis; Jing Yuan Journal: Eur Radiol Date: 2019-03-22 Impact factor: 5.315