Yan Zhou1, Jianyu Liu2, Congrong Liu3, Jing Jia4, Nan Li5, Lizhi Xie6, Zhenyu Zhou6, Ziheng Zhang6, Dandan Zheng6, Wei He1, Yang Shen1, Weidan Lu1, Huici Zhu1. 1. Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian, Beijing 100191, China. 2. Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian, Beijing 100191, China. Electronic address: jyliubysy@163.com. 3. Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian, Beijing 100191, China; Department of Pathology, Peking University Health Science Center, 38 College Road, Haidian, Beijing 100191, China. 4. Department of Pathology, Beijing Shijingshan Hospital, Beijing Shijingshan Road, Shijingshan District, No. 24, Beijing 100043, China. 5. Clinical Epidemiology Research Center, Peking University Third Hospital, 49 North Garden Road, Haidian, Beijing 100191, China. 6. GE Healthcare China, Beijing, China.
Abstract
OBJECTIVES: To investigate the value of parameters derived from IVIM model in grading of uterine cervical cancer and the relationship between perfusion parameters derived from IVIM and that from DCE-MRI. METHODS: Parameters of DWI (ADC, D, f, D*) and semi-quantitative parameters of DCE-MRI (Slop, Maxslop, CER, Washout, AUC90) were assessed in 24 female with cervical cancers. Except for ROIs encompassed all of the area of tumors in axial plane (A_all), ROIs on tumor edge (A_peri) and tumor center (A_central) were drawn. All of the parameters were compared among three pathology grades. Perfusion parameters derived from IVIM were correlated with that from DCE-MRI. RESULTS: For G1, G2 and G3 tumors, on tumor edge ADC=(1.03±0.11), (1.05±0.10), (0.90±0.05)×10(-3)mm(2)/s, D=(0.80±0.11), (0.78±0.07), (0.69±0.06)×10(-3)mm(2)/s, and f=(0.19±0.03), (0.22±0.02), (0.24±0.03). The differences among groups were significant (P<0.05). On tumor center, ADC=(0.90±0.10), (0.85±0.03), (0.80±0.07)×10(-3)mm(2)/s with significant differences (P=0.027). The other parameter, D and f of tumor center, as well as D* of all tumor areas, were of no statistic significance. Most of the DCE-MRI parameters negatively correlated with tumor volume. Although the correlation between f and slop was statistic significant, R=0.277 meant a negligible correlation. f had week correlation with Maxslop, CER and AUC90 (R=0.361, 0.400 and 0.405; P<0.001). D* showed no statistic significant correlation with all of the DCE parameters. CONCLUSION: IVIM model could possibly be used to evaluate tumor differentiation and perfusion, providing an alternative for DCE-MRI.
OBJECTIVES: To investigate the value of parameters derived from IVIM model in grading of uterine cervical cancer and the relationship between perfusion parameters derived from IVIM and that from DCE-MRI. METHODS: Parameters of DWI (ADC, D, f, D*) and semi-quantitative parameters of DCE-MRI (Slop, Maxslop, CER, Washout, AUC90) were assessed in 24 female with cervical cancers. Except for ROIs encompassed all of the area of tumors in axial plane (A_all), ROIs on tumor edge (A_peri) and tumor center (A_central) were drawn. All of the parameters were compared among three pathology grades. Perfusion parameters derived from IVIM were correlated with that from DCE-MRI. RESULTS: For G1, G2 and G3 tumors, on tumor edge ADC=(1.03±0.11), (1.05±0.10), (0.90±0.05)×10(-3)mm(2)/s, D=(0.80±0.11), (0.78±0.07), (0.69±0.06)×10(-3)mm(2)/s, and f=(0.19±0.03), (0.22±0.02), (0.24±0.03). The differences among groups were significant (P<0.05). On tumor center, ADC=(0.90±0.10), (0.85±0.03), (0.80±0.07)×10(-3)mm(2)/s with significant differences (P=0.027). The other parameter, D and f of tumor center, as well as D* of all tumor areas, were of no statistic significance. Most of the DCE-MRI parameters negatively correlated with tumor volume. Although the correlation between f and slop was statistic significant, R=0.277 meant a negligible correlation. f had week correlation with Maxslop, CER and AUC90 (R=0.361, 0.400 and 0.405; P<0.001). D* showed no statistic significant correlation with all of the DCE parameters. CONCLUSION: IVIM model could possibly be used to evaluate tumor differentiation and perfusion, providing an alternative for DCE-MRI.
Authors: Anton S Becker; Jose A Perucho; Moritz C Wurnig; Andreas Boss; Soleen Ghafoor; Pek-Lan Khong; Elaine Y P Lee Journal: Korean J Radiol Date: 2017-04-03 Impact factor: 3.500
Authors: Jose Angelo Udal Perucho; Hing Chiu Charles Chang; Varut Vardhanabhuti; Mandi Wang; Anton Sebastian Becker; Moritz Christoph Wurnig; Elaine Yuen Phin Lee Journal: Korean J Radiol Date: 2020-02 Impact factor: 3.500