SynthesisAJNR. American journal of neuroradiology2018
Clinically Relevant Imaging Features for
Synthesis in AJNR. American journal of neuroradiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Association between MGMT status and response to alkylating agents in patients with neuroendocrine neoplasms: a systematic review and meta-analysis.Bioscience reports · 2020Pooled it
- Tumor habitat analysis using multiparametric MRI as a noninvasive correlate of longitudinal changes in telomerase activity in recurrent IDH-wildtype glioblastoma.Scientific reports · 2026Article
- Prediction of MGMT promoter methylation in glioblastoma and grade 4 astrocytoma using fluid-suppressed chemical exchange saturation transfer MRI and machine learning-based segmentation.Frontiers in oncology · 2026Article
- A Radiologist's Guide to IDH-Wildtype Glioblastoma for Efficient Communication With Clinicians: Part I-Essential Information on Preoperative and Immediate Postoperative Imaging.Korean journal of radiology · 2025Review
- Deep learning classification of MGMT status of glioblastomas using multiparametric MRI with a novel domain knowledge augmented mask fusion approach.Scientific reports · 2025Article
- Noninvasive MGMT-promotor methylation prediction in high grade gliomas using conventional MRI and deep learning-based segmentations.Frontiers in neuroscience · 2025Article
- Explainable, modality-adaptive radiomics for MGMT methylation prediction in high-grade glioma: a decision-curve analysis study.Frontiers in oncology · 2025Article
- AI tool for predicting MGMT methylation in glioblastoma for clinical decision support in resource limited settings.Scientific reports · 2024Article
- The prognostic importance of glioblastoma size and shape.Acta neurochirurgica · 2024Article
- Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium.Neuroradiology · 2023Article
- Diagnostic Approaches to Adult-Type Diffuse Glial Tumors: Comparative Literature and Clinical Practice Study.Current oncology (Toronto, Ont.) · 2023Review
- Progress of radiological‑pathological workflows in the differential diagnosis between primary central nervous system lymphoma and high‑grade glioma (Review).Oncology reports · 2023Article
- Beyond Imaging and Genetic Signature in Glioblastoma: Radiogenomic Holistic Approach in Neuro-Oncology.Biomedicines · 2022Review
- A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation Identification.Journal of imaging · 2022Article
- Conventional MRI-Derived Biomarkers of Adult-Type Diffuse Glioma Molecular Subtypes: A Comprehensive Review.Biomedicines · 2022Review
- Validation of MRI-Based Models to Predict MGMT Promoter Methylation in Gliomas: BraTS 2021 Radiogenomics Challenge.Cancers · 2022Article
- Multiparametric MR radiomics in brain glioma: models comparation to predict biomarker status.BMC medical imaging · 2022Article
- Robustness of radiomic features in magnetic resonance imaging for patients with glioblastoma: Multi-center study.Physics and imaging in radiation oncology · 2022Article
- Article
- Pre- and Post-Treatment Imaging of Primary Central Nervous System Tumors in the Molecular and Genetic Era.Korean journal of radiology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPURPOSE: Our aim was to systematically evaluate imaging features of DATA SOURCES: A computerized search of Ovid MEDLINE and EMBASE up to February 27, 2018, was conducted. STUDY SELECTION: We selected studies evaluating imaging features of DATA ANALYSIS: Pooled estimates of sensitivity and specificity were calculated using a hierarchic logistic regression model. Meta-regression and sensitivity analysis were performed. DATA SYNTHESIS: Twenty-two articles including 2199 patients were included. LIMITATIONS: Included studies used a variety of different MR imaging techniques to predict
conclusions
Indexed as
Identifiers
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.