研究论文
Quantitative kinetic parameters of primary tumor can be used to predict pelvic lymph node metastasis in early-stage cervical cancer
Zhiqiang Bai, Jie Shi, Zehong Yang, Weike Zeng, Huijun Hu, Jinglian Zhong, Xiaohui Duan, Xinmin Wang 等 9 位
Sun Yat-sen University Sun Yat-sen Memorial Hospital Hegang People's Hospital
来源Abdominal Radiology
年份2020
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逐年被引趋势
320
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9
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0.46
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学术脉络
学科主题
生物医学Endometrial and Cervical Cancer Treatments
MRI in cancer diagnosis · Radiomics and Machine Learning in Medical Imaging
参考文献 38
Transport of molecules in the tumor interstitium: a review.
被引 1,362R K Jain · PubMed · 1987
Uterine cervical carcinoma: evaluation of pelvic lymph node metastasis with MR imaging.
被引 208Seung Hoon Kim, Song Cheol Kim, B I Choi · Radiology · 1994
Differentiation of metastatic from non-metastatic lymph nodes in patients with uterine cervical cancer using diffusion-weighted imaging
被引 70Ying Liu, Haidong Liu, Bai Xu · Gynecologic Oncology · 2011
此处列出前 3 条
引用本文 9
Feasibility of Predicting Pelvic Lymph Node Metastasis Based on IVIM-DWI and Texture Parameters of the Primary Lesion and Lymph Nodes in Patients with Cervical Cancer
被引 28Yu Zhang, Kai-yue Zhang, Haodong Jia · Academic Radiology · 2021
Prediction of lymph node metastasis in operable cervical cancer using clinical parameters and deep learning with MRI data: a multicentre study
被引 22Fengying Qin, Xinyan Sun, Mingke Tian · Insights into Imaging · 2024
RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study
被引 14Weiliang Qian, Zhisen Li, Weidao Chen · BMC Medical Imaging · 2022
按被引量排序，此处列出前 3 条