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-Reference-Cited by-同舟云学术

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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

Published:2025 Issue: Volume:36 Page:
ISSN:2005-0380
Container-title:Journal of Gynecologic Oncology
language:en
Short-container-title:J Gynecol Oncol

Author:

Zhao Mengli¹^ORCID,Li Zhen²^ORCID,Gu Xiaowei³^ORCID,Yang Xiaojing¹^ORCID,Gao Zhongrong¹^ORCID,Wang Shanshan¹^ORCID,Fu Jie¹^ORCID

Affiliation:

1. Department of Radiation Oncology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

2. ENT institute and Department of Otolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.

3. Department of Radiation Oncology, Jiangyin Hospital Affiliated to Nantong University, Jiangyin, China.

Publisher

XMLink

Link

https://ejgo.org/pdf/10.3802/jgo.2025.36.e26

Reference42 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. Randomised study of radical surgery versus radiotherapy for stage Ib-IIa cervical cancer

3. Randomized study between radical surgery and radiotherapy for the treatment of stage IB–IIA cervical cancer: 20-year update

4. NCCN Guidelines Insights: Cervical Cancer, Version 1.2020

5. Lymphatic Metastasis in the Absence of Functional Intratumor Lymphatics

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