ArticleOncotarget2017
Comparison between ultra-high and conventional mono b-value DWI for preoperative glioma grading.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accuracy of ADC derived from DWI for differentiating high-grade from low-grade gliomas: Systematic review and meta-analysis.Medicine · 2020Pooled it
- Visual versus region-of-interest based diffusion evaluation and their diagnostic impact in adult-type diffuse gliomas.Neuroradiology · 2026Article
- Assessing inter-rater reliability of MRI features in glioma: a multi-radiologist agreement study.BMC medical imaging · 2025Article
- The Role of b-value Diffusion-weighted Imaging in Differentiating High-grade and Low-grade Brain Tumors: A Comprehensive Study with Standard b-value DWI.Advanced biomedical research · 2025Article
- Ultra-high b-value DWI accurately identifies isocitrate dehydrogenase genotypes and tumor subtypes of adult-type diffuse gliomas.European radiology · 2024Article
- Ultra-high b value DWI in distinguishing fresh gray matter ischemic lesions from white matter ones: a comparative study with routine and high b value DWI.Quantitative imaging in medicine and surgery · 2021Article
- Integrated slice-specific dynamic shimming diffusion weighted imaging (DWI) for rectal Cancer detection and characterization.Cancer imaging : the official publication of the International Cancer Imaging Society · 2021Article
- A comparison of the multimodal magnetic resonance imaging features of brain metastases vs. high-grade gliomas.American journal of translational research · 2021Article
- Magnetic Resonance Imaging Derived Biomarkers of IDH Mutation Status and Overall Survival in Grade III Astrocytomas.Diagnostics (Basel, Switzerland) · 2020Article
- Multi-parametric arterial spin labelling and diffusion-weighted magnetic resonance imaging in differentiation of grade II and grade III gliomas.Polish journal of radiology · 2020Article
- Efficiency of High and StandardJournal of oncology · 2020Article
- Observational
- The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint.Neurosurgery · 2019Review
- Perfusion, Diffusion, Or Brain Tumor Barrier Integrity: Which Represents The Glioma Features Best?Cancer management and research · 2019Article
- Structural and advanced imaging in predicting MGMT promoter methylation of primary glioblastoma: a region of interest based analysis.BMC cancer · 2018Article
- Brainstem glioma: Prediction of histopathologic grade based on conventional MR imaging.The neuroradiology journal · 2018Article
- A Modified Tri-Exponential Model for Multi-Frontiers in neuroscience · 2018Article
- Apparent diffusion coefficient maps obtained from high b value diffusion-weighted imaging in the preoperative evaluation of gliomas at 3T: comparison with standard b value diffusion-weighted imaging.European radiology · 2017Article
- Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.Oncotarget · 2017Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To compare the efficacy of ultra-high and conventional mono-b-value DWI for glioma grading, in 109 pathologically confirmed glioma patients, ultra-high apparent diffusion coefficient (ADCuh)was calculated using a tri-exponential mode, distributed diffusion coefficients (DDCs) and α values were calculated using a stretched-exponential model, and conventional ADC values were calculated using a mono-exponential model. The efficacy and reliability of parameters for grading gliomas were investigated using receiver operating characteristic (ROC) curve and intra-class correlation (ICC) analyses, respectively. The ADCuh values differed (P < 0.001) between low-grade gliomas (LGGs; 0.436 ×10-3 mm2/sec) and high-grade gliomas (HGGs; 0.285 × 10-3 mm2/sec). DDC, a and various conventional ADC values were smaller in HGGs (all P ≤ 0.001, vs. LGGs). The ADCuh parameter achieved the highest diagnostic efficacy with an area under curve (AUC) of 0.993, 92.9% sensitivity and 98.8% specificity for glioma grading at a cutoff value of 0.362×10-3 mm2/sec. ADCuh measurement appears to be an easy-to-perform technique with good reproducibility (ICC = 0.9391, P < 0.001). The ADCuh value based in a tri-exponential model exhibited greater efficacy and reliability than other DWI parameters, making it a promising technique for glioma grading.
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