ArticleDiagnostics (Basel, Switzerland)2021
Prediction Model for Tumor Budding Status Using the Radiomic Features of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Cervical Cancer.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Development and validation of anAnnals of nuclear medicine · 2025Article
- Preoperative prediction of tumor budding in colorectal cancer based on quantitative parameters of dual-layer detector spectral computed tomography: a preliminary study.Journal of gastrointestinal oncology · 2025Article
- Artificial intelligence radiomics in the diagnosis, treatment, and prognosis of gynecological cancer: a literature review.Translational cancer research · 2025Review
- Clinical application ofJapanese journal of radiology · 2024Review
- Development and validation of radiomics models for the prediction of diagnosis of classic trigeminal neuralgia.Frontiers in neuroscience · 2023Article
- Preoperative prediction of tumor budding in rectal cancer using multiple machine learning algorithms based on MRI T2WI radiomics.Frontiers in oncology · 2023Article
- Applying logistic LASSO regression for the diagnosis of atypical Crohn's disease.Scientific reports · 2022Article
- Radiomics in Oncological PET Imaging: A Systematic Review-Part 2, Infradiaphragmatic Cancers, Blood Malignancies, Melanoma and Musculoskeletal Cancers.Diagnostics (Basel, Switzerland) · 2022Review
- Assessing PD-L1 Expression Level via Preoperative MRI in HCC Based on Integrating Deep Learning and Radiomics Features.Diagnostics (Basel, Switzerland) · 2021Article
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Authors and funding
10 authors.
Funding
Abstract
objectiveTo compare the radiomic features of F-18 fluorodeoxyglucose positron emission tomography/computed tomography ( MATERIALS AND
methodsSeventy-six patients with cervical cancer who underwent radical hysterectomy and preoperative
resultsUnivariate analysis led to the identification of 2 significant metabolic parameters and 12 significant radiomic features according to intratumoral budding (ITB) status. Among these parameters, following multivariate analysis for the ITB status, only compacity remained significant (odds ratio, 5.0047; 95% confidence interval, 1.1636-21.5253;
conclusionRadiomic features of
Indexed as
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