ArticleFrontiers in oncology2020
Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics Study.
Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 32 citations in OpenAlex.
- Fusion of habitat analysis and deep learning on contrast-enhanced T1-weighted imaging for predicting Ki-67 status in pediatric brain tumors.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025Article
- Morphometric and radiomics analysis toward the prediction of epilepsy associated with supratentorial low-grade glioma in children.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
- Using partially shared radiomics features to simultaneously identify isocitrate dehydrogenase mutation status and epilepsy in glioma patients from MRI images.Scientific reports · 2025Article
- Radiomics features from the peritumoral region can be associated with the epilepsy status of glioblastoma patients.Frontiers in oncology · 2025Article
- Molecular mechanisms and diagnostic model of glioma-related epilepsy.NPJ precision oncology · 2024Article
- Unexplained Causes of Glioma-Associated Epilepsies: A Review of Theories and an Area for Research.Cancers · 2023Review
- Predicting Drug Treatment Outcomes in Childrens with Tuberous Sclerosis Complex-Related Epilepsy: A Clinical Radiomics Study.AJNR. American journal of neuroradiology · 2023Article
- Research on application of radiomics in glioma: a bibliometric and visual analysis.Frontiers in oncology · 2023Review
- A novel deep learning model for glioma epilepsy associated with the identification of human cytomegalovirus infection injuries based on head MR.Frontiers in microbiology · 2023Article
- Noninvasive Determination of the IDH Status of Gliomas Using MRI and MRI-Based Radiomics: Impact on Diagnosis and Prognosis.Current oncology (Toronto, Ont.) · 2022Review
- Does epilepsy always indicate worse outcomes? A longitudinal follow-up analysis of 485 glioma patients.World journal of surgical oncology · 2022Article
- Clinical evaluation of a novel atlas-based PET/CT brain image segmentation and quantification method for epilepsy.Quantitative imaging in medicine and surgery · 2022Article
- Radiomics Nomogram Improves the Prediction of Epilepsy in Patients With Gliomas.Frontiers in oncology · 2022Article
- Development and multicenter validation of a CT-based radiomics signature for predicting severe COVID-19 pneumonia.European radiology · 2021Article
- MRI-Based Radiomics and Radiogenomics in the Management of Low-Grade Gliomas: Evaluating the Evidence for a Paradigm Shift.Journal of clinical medicine · 2021Review
- Radiomics Analysis for Predicting Epilepsy in Patients With Unruptured Brain Arteriovenous Malformations.Frontiers in neurology · 2021Article
- Radiomics for the Prediction of Epilepsy in Patients With Frontal Glioma.Frontiers in oncology · 2021Article
- Current Advances and Challenges in Radiomics of Brain Tumors.Frontiers in oncology · 2021Review
- Preoperative Radiomics Analysis of 1p/19q Status in WHO Grade II Gliomas.Frontiers in oncology · 2021Article
- Clinical Application of Machine Learning Models for Brain Imaging in Epilepsy: A Review.Frontiers in neuroscience · 2021Review
Corrections and comments
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Authors and funding
9 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.