ArticleNeuro-oncology2023
Histological and molecular classifications of pediatric glioma with time-dependent diffusion MRI-based microstructural mapping.
Article in Neuro-oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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35 citing papers in PubMed.
- Benign and Malignant Breast Lesions: Differentiation Using Microstructural Metrics Derived from Time-Dependent Diffusion MRI.Radiology. Imaging cancer · 2025Trial
- MR Virtual Cytometry for Zone-specific Prostate Cancer Characterization with Histologic and Molecular Validation.Radiology. Imaging cancer · 2026Article
- Time-dependent diffusion MRI for assessing tumor microstructure and prognostic risk factors in cervical cancer.Abdominal radiology (New York) · 2026Article
- Time-dependent diffusion MRI for differentiating cervical cancer subtypes: impact of ROI delineation strategies on diagnostic performance.Abdominal radiology (New York) · 2026Article
- The value of time-dependent diffusion MRI in nasopharyngeal carcinoma: correlation with prognostic factors.European radiology · 2026Article
- Article
- Microstructural MRI combined with metabolic MRI to evaluate the progression-free survival of patients with glioblastoma at the early follow-up after tumor treating fields: a pilot study.BMC medical imaging · 2026Article
- Microstructure mapping with time-dependent diffusion MRI differentiates primary central nervous system lymphoma from glioblastoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- The predictive value of MR cytometry in histological differentiation of rectal cancer: an exploratory study.European radiology · 2026Observational
- Time-dependent diffusion MRI for differentiating non‑small cell lung‑cancer brain metastases from breast‑cancer brain metastases and gliomas.Neuroradiology · 2026Article
- Time-dependent diffusion MRI for non-invasive differentiation of benign and malignant breast lesions and evaluation of proliferation index biomarkers.Breast cancer (Tokyo, Japan) · 2026Article
- Time-dependent diffusion-weighted imaging assessment of tumor grading and isocitrate dehydrogenase genotypes in adult-type diffuse gliomas.Japanese journal of radiology · 2026Article
- Time-dependent Diffusion MRI for Predicting Response to Induction Chemotherapy in Nasopharyngeal Carcinoma.Radiology. Imaging cancer · 2026Article
- Time-dependent diffusion MRI as in vivo histology: microstructural biomarkers for breast cancer diagnosis and prognostic stratification.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Lymph Node Metastases Prediction in Cervical Cancer Using Time-Dependent Diffusion MRI and Macromolecular Proton Fraction Imaging.Radiology. Imaging cancer · 2026Article
- Time-dependent diffusion MRI of soft tissue tumors: correlations with Ki-67 proliferation status.Quantitative imaging in medicine and surgery · 2026Article
- Integrating time-dependent diffusion MRI and intravoxel incoherent motion for predicting NPI and molecular subtypes in breast cancer.BMC medical imaging · 2026Article
- Metabolic, perfusion, and diffusion imaging enhance diagnosis and prognosis of H3K27-altered diffuse midline gliomas.BMC medicine · 2025Article
- MRI cytometry imaging for cervical cancer differential diagnosis: a preliminary study.BMC medical imaging · 2025Article
- MATI: A GPU-accelerated toolbox for microstructural diffusion MRI simulation and data fitting with a graphical user interface.Magnetic resonance imaging · 2025Article
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11 authors.
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Abstract
backgroundGliomas are the most common type of central nervous system tumors in children, and the combination of histological and molecular classification is essential for prognosis and treatment. Here, we proposed a newly developed microstructural mapping technique based on diffusion-time-dependent diffusion MRI td-dMRI theory to quantify tumor cell properties and tested these microstructural markers in identifying histological grade and molecular alteration of H3K27.
methodsThis prospective study included 69 pediatric glioma patients aged 6.14 ± 3.25 years old, who underwent td-dMRI with pulsed and oscillating gradient diffusion sequences on a 3T scanner. dMRI data acquired at varying tds were fitted into a 2-compartment microstructural model to obtain intracellular fraction (fin), cell diameter, cellularity, etc. Apparent diffusivity coefficient (ADC) and T1 and T2 relaxation times were also obtained. H&E stained histology was used to validate the estimated microstructural properties.
resultsFor histological classification of low- and high-grade pediatric gliomas, the cellularity index achieved the highest area under the receiver-operating-curve (AUC) of 0.911 among all markers, while ADC, T1, and T2 showed AUCs of 0.906, 0.885, and 0.886. For molecular classification of H3K27-altered glioma in 39 midline glioma patients, cell diameter showed the highest discriminant power with an AUC of 0.918, and the combination of cell diameter and extracellular diffusivity further improved AUC to 0.929. The td-dMRI estimated fin correlated well with the histological ground truth with r = 0.7.
conclusionsThe td-dMRI-based microstructural properties outperformed routine MRI measurements in diagnosing pediatric gliomas, and the different microstructural features showed complementary strength in histological and molecular classifications.
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