Feasibility of MRI-based radiomics features for predicting lymph node metastases and VEGF expression in cervical cancer-Reference-Cited by-同舟云学术

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Feasibility of MRI-based radiomics features for predicting lymph node metastases and VEGF expression in cervical cancer

Published:2021-01 Issue: Volume:134 Page:109429
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Deng Xijia,Liu Meiling,Sun Jianqing,Li Min,Liu Daihong,Li Lan,Fang Jiayang,Wang Xiaoxia,Zhang Jiuquan

Funder

National Natural Science Foundation of China

the combination projects of medicine and engineering of the Fundamental Research Funds for the Central Universities

Chongqing key medical research project of combination of science and medicine

2019 SKY Imaging Research Fund of the Chinese International Medical Foundation

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Reference42 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA Cancer J. Clin.,2018

2. Role of hypoxia-inducible factor-1alpha, carbonic anhydrase-IX, glucose transporter-1 and vascular endothelial growth factor associated with lymph node metastasis and recurrence in patients with locally advanced cervical cancer;Iwasaki;Oncol. Lett.,2015

3. Prognostic significance of residual lymph node status after definitive chemoradiotherapy in patients with node-positive cervical cancer;Park;Gynecol. Oncol.,2018

4. Feasibility of diffusion-weighted imaging in the differentiation of metastatic from nonmetastatic lymph nodes: early experience;Kim;J. Magn. Reson. Imaging,2008

5. Vascular endothelial growth factor (VEGF) signaling in tumor progression;Roskoski;Crit. Rev. Oncol. Hematol.,2007

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The role of radiomics for predicting of lymph-vascular space invasion in cervical cancer patients based on artificial intelligence: a systematic review and meta-analysis;Journal of Gynecologic Oncology;2025

2. Preoperative magnetic resonance imaging-radiomics in cervical cancer: a systematic review and meta-analysis;Frontiers in Oncology;2024-07-04

3. Precision Imaging in Cervical Cancer: A Comprehensive Approach to Diagnosis and Pre-treatment Evaluation;Clinical and Experimental Obstetrics & Gynecology;2024-06-19

4. The application of nomogram model integrating clinical factors and multi-modal MRI radiomics features for predicting cervical lymph nodes metastasis for patients with oral tongue squamous cell carcinoma: a multicenter study;2024-05-20

5. Deep-learning-based radiomics of intratumoral and peritumoral MRI images to predict the pathological features of adjuvant radiotherapy in early-stage cervical squamous cell carcinoma;BMC Women's Health;2024-03-19

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