The Value of Diffusion-Weighted Magnetic Resonance Imaging in Predicting the Efficacy of Radiation and Chemotherapy in Cervical Cancer
| Autor: | Yingduan Li, Xianglong Shi, Hui Hua, Weiqun Bi, Wenjian Xu, Jingjing Chen, Jing Pang |
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| Rok vydání: | 2018 |
| Předmět: |
cervical cancer
QH301-705.5 Quantitative Biology::Tissues and Organs medicine.medical_treatment Physics::Medical Physics Value (computer science) Radiation Biology chemotherapy General Biochemistry Genetics and Molecular Biology 030218 nuclear medicine & medical imaging diffusion-weighted imaging (dwi) 03 medical and health sciences 0302 clinical medicine medicine Effective diffusion coefficient Biology (General) Cervical cancer Chemotherapy General Immunology and Microbiology medicine.diagnostic_test Tumor size business.industry General Neuroscience Magnetic resonance imaging medicine.disease Diffusion-Weighted Magnetic Resonance Imaging body regions radiation 030220 oncology & carcinogenesis General Agricultural and Biological Sciences Nuclear medicine business Research Article |
| Zdroj: | Open Life Sciences, Vol 13, Iss 1, Pp 305-311 (2018) Open Life Sciences |
| ISSN: | 2391-5412 |
| DOI: | 10.1515/biol-2018-0037 |
| Popis: | BackgroundTo analyze the application value of apparent diffusion coefficient (ADC) and exponent apparent diffusion coefficient (EADC) in evaluating the efficacy of radiation and chemotherapy in cervical cancer using pre- and posttreatment diffusion-weighted magnetic resonance imaging (DW-MRI) scans.Methods52 patients with cervical cancer were administered radiation and chemotherapy. Both MRI and DW-MRI were obtained at different stages. The ADC and EADC values, as well as the maximum tumor diameter, were measured and analyzed.ResultsWe found that the ADC value increased after treatment, and the EADC value decreased. Changes in the calculated ADC occurred earlier than the morphologic changes of the tumors. A negative correlation was detected between reduced rates in the maximum tumor diameter two months after treatment and pretreatment ADC value (r = –0.658, P < 0.05). An ROC curve and nonlinear regression analysis showed that the formula, y = (1525500.122x2 – 4689.962x + 3.482) × 100%, can be used to calculate the percentage of complete remission after treatment according to the pretreatment ADC value.ConclusionOur data suggest that pretreatment ADC and EADC values are predictive of the efficacy of radiation and chemotherapy. Both ADC and EADC values during treatment were instrumental in early monitoring and dynamic observation. |
| Databáze: | OpenAIRE |
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