ArticleAJNR. American journal of neuroradiology2018
Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of
Article 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 43 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
43 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.
- Machine learning based radiomics approach for outcome prediction of meningioma - a systematic review.F1000Research · 2025Pooled it
- Artificial Intelligence for the Preoperative Molecular Characterization of Adult-Type Diffuse High-Grade Gliomas: A Systematic Review and Meta-Analysis.Journal of imaging informatics in medicine · 2026Review
- Histopathological grades as prognostic factors of H3 K27-altered diffuse midline glioma and their prediction using multiparametric MR imaging.Neuroradiology · 2025Article
- Multimodal MRI andDiagnostics (Basel, Switzerland) · 2024Article
- Article
- Rethinking extent of resection of contrast-enhancing and non-enhancing tumor: different survival impacts on adult-type diffuse gliomas in 2021 World Health Organization classification.European radiology · 2024Article
- Advanced MR Techniques for Preoperative Glioma Characterization: Part 1.Journal of magnetic resonance imaging : JMRI · 2023Review
- Combining Multi-Shell Diffusion with Conventional MRI Improves Molecular Diagnosis of Diffuse Gliomas with Deep Learning.Cancers · 2023Article
- Adding radiomics to the 2021 WHO updates may improve prognostic prediction for current IDH-wildtype histological lower-grade gliomas with known EGFR amplification and TERT promoter mutation status.European radiology · 2022Article
- Quality reporting of radiomics analysis in pituitary adenomas: promoting clinical translation.The British journal of radiology · 2022Article
- An interpretable radiomics model to select patients for radiotherapy after surgery for WHO grade 2 meningiomas.Radiation oncology (London, England) · 2022Article
- A Survey of Radiomics in Precision Diagnosis and Treatment of Adult Gliomas.Journal of clinical medicine · 2022Review
- The application of radiomics in predicting gene mutations in cancer.European radiology · 2022Review
- Differentiation of progressive disease from pseudoprogression using MRI histogram analysis in patients with treated glioblastoma.Acta neurologica Belgica · 2022Article
- Pre- and Post-Treatment Imaging of Primary Central Nervous System Tumors in the Molecular and Genetic Era.Korean journal of radiology · 2021Review
- An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum.Translational psychiatry · 2021Article
- Assessing Versatile Machine Learning Models for Glioma Radiogenomic Studies across Hospitals.Cancers · 2021Article
- Diffusion tensor and postcontrast T1-weighted imaging radiomics to differentiate the epidermal growth factor receptor mutation status of brain metastases from non-small cell lung cancer.Neuroradiology · 2021Article
- Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation.Scientific reports · 2021Article
- Diffusion kurtosis imaging in evaluating gliomas: different region of interest selection methods on time efficiency, measurement repeatability, and diagnostic ability.European radiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposePrediction of the MATERIALS AND
methodsNinety-three patients with World Health Organization grade II gliomas with known
resultsVarious histogram and texture parameters differed significantly according to
conclusionsWhole-tumor histogram and texture features of the ADC and fractional anisotropy maps are useful for predicting the
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.