Yulan Chen

ORCID: 0000-0003-1826-4146
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About
Contact & Profiles
Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Ovarian cancer diagnosis and treatment
  • Endometrial and Cervical Cancer Treatments
  • Cervical Cancer and HPV Research
  • MRI in cancer diagnosis

Anhui Provincial Hospital
2022

University of Science and Technology of China
2022

To investigate the value of apparent diffusion coefficient (ADC) endometrial cancer (EC) primary lesion and magnetic resonance imaging (MRI) three-dimensional (3D) radiomics features combined with clinical parameters for preoperative prediction pelvic lymph node metastasis (PLNM). A total 136 patients EC confirmed by postoperative pathology were retrospectively reviewed analyzed. Patients randomly divided into training set (n = 95) test 41) at a ratio 7 : 3. Radiomics based on T2WI, DWI,...

10.1155/2022/3335048 article EN cc-by Journal of Oncology 2022-06-30

To develop a combined nomogram based on preoperative multimodal magnetic resonance imaging (mMRI) and clinical information for predicting recurrence in patients with high-grade serous ovarian carcinoma (HGSOC).This retrospective study enrolled 141 clinicopathologically confirmed HGSOC, including 65 76 without recurrence. Radiomics features were extracted from the mMRI images (FS-T2WI, DWI, T1WI+C). L1 regularization-based least absolute shrinkage selection operator (LASSO) regression was...

10.1155/2022/1716268 article EN Journal of Oncology 2022-05-04
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