ArticleThe British journal of radiology2020
Noninvasive CT radiomic model for preoperative prediction of lymph node metastasis in early cervical carcinoma.
Article in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- The value of machine learning in preoperative identification of lymph node metastasis status in endometrial cancer: a systematic review and meta-analysis.Frontiers in oncology · 2023Pooled it
- A Hybrid Model-Based Clinicopathological Features and Radiomics Based on Conventional MRI for Predicting Lymph Node Metastasis and DFS in Cervical Cancer.Journal of imaging informatics in medicine · 2026Article
- Multi-slice computed tomography radiomics combined with serum alpha-L-fucosidase: a potential biomarker for precise identification of pleomorphic adenoma and Warthin tumor.Translational cancer research · 2024Article
- Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images.BMC medical imaging · 2023Article
- Multicentric development and evaluation ofEuropean journal of nuclear medicine and molecular imaging · 2023Article
- Non-invasive molecular imaging for precision diagnosis of metastatic lymph nodes: opportunities from preclinical to clinical applications.European journal of nuclear medicine and molecular imaging · 2023Review
- Development of a deep learning-based nomogram for predicting lymph node metastasis in cervical cancer: A multicenter study.Clinical and translational medicine · 2022Article
- Using radiomic features of lumbar spine CT images to differentiate osteoporosis from normal bone density.BMC musculoskeletal disorders · 2022Article
- Post treatment imaging in patients with local advanced cervical carcinoma.Frontiers in oncology · 2022Review
- Radiomic models for lymph node metastasis prediction in cervical cancer: can we think beyond sentinel lymph node?Translational oncology · 2021Article
- Feasibility of TEuropean radiology · 2021Article
- Radiomics in cervical and endometrial cancer.The British journal of radiology · 2021Review
- Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
14 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo build and validate a CT radiomic model for pre-operatively predicting lymph node metastasis in early cervical carcinoma. METHODS AND MATERIALS: A data set of 150 patients with Stage IB1 to IIA2 cervical carcinoma was retrospectively collected from the Nanfang hospital and separated into a training cohort (
resultsTwo radiomic features from delay phase CT images and one clinical feature were associated with LNM status: log-sigma-2-0 mm-3D_glcm_Idn (
conclusionA non-invasive radiomic model, combining two radiomic features and a International Federation of Gynecology and Obstetrics stage, was built for prediction of LNM status in early cervical carcinoma. This model could serve as a pre-operative tool. ADVANCES IN KNOWLEDGE: A noninvasive CT radiomic model, combining two radiomic features and the International Federation of Gynecology and Obstetrics stage, was built for prediction of LNM status in early cervical carcinoma.
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