Bing Liu

ORCID: 0000-0001-8821-5935
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About
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Research Areas
  • MRI in cancer diagnosis
  • Endometrial and Cervical Cancer Treatments
  • Ovarian cancer diagnosis and treatment
  • Radiomics and Machine Learning in Medical Imaging
  • Cancer, Hypoxia, and Metabolism

Shaanxi Provincial Hospital of Traditional Chinese Medicine
2024

Xijing Hospital
2020

Abstract Purpose: To testify whether multi-b-values DWI can be used to ultra-early predict treatment response of CCRT in cervical cancer patients and assess the predictive ability concerning parameters. Methods: 53 with biopsy proved were retrospectively recruited this study. All underwent pelvic before at 3rd day during treatment. Tumor diffusion parameters calculated by mono-exponential (apparent coefficient, ADC), bi-exponential (Dslow, Dfast fp) stretched exponential (distributed DDC α)...

10.21203/rs.2.19951/v1 preprint EN cc-by Research Square (Research Square) 2020-01-02

Abstract Background: To testify whether multi-b-values diffusion-weighted imaging (DWI) can be used to ultra-early predict treatment response of concurrent chemoradiotherapy (CCRT) in cervical cancer patients and assess the predictive ability concerning parameters. Methods: Fifty-three with biopsy proved were retrospectively recruited this study. All underwent pelvic DWI before at 3 rd day during treatment. The apparent diffusion coefficient (ADC), true (D slow ), perfusion-related...

10.21203/rs.2.19951/v3 preprint EN cc-by Research Square (Research Square) 2020-08-15

Abstract Purpose: To testify whether multi-b-values DWI can be used to ultra-early predict treatment response of CCRT in cervical cancer patients and assess the predictive ability concerning parameters. Methods: 53 with biopsy proved were retrospectively recruited this study. All underwent pelvic before at 3 rd day during treatment. Tumor diffusion parameters calculated by mono-exponential (apparent coefficient, ADC), bi-exponential (D slow , D fast f p ) stretched exponential (distributed...

10.21203/rs.2.19951/v2 preprint EN cc-by Research Square (Research Square) 2020-05-15
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