ArticleBMC medical imaging2025
A novel MRI diffusion metric 'slow diffusion coefficient' (SDC) for diagnosing isocitrate dehydrogenase (IDH) genotype in diffuse gliomas: initial promising results.
Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Relationships among slow diffusion coefficient and diffusion-derived 'vessel density' signal features, Gadoxetate delayed enhancement, tumor size, tumor grading, and patient survival: an exploratory study of mass-forming intrahepatic cholangiocarcinoma.Journal of gastrointestinal oncology · 2026Article
- The role of number-of-excitations (NEX) for the usability of free-breathing acquired diffusion-derived 'vessel density' (DDVD) and slow diffusion coefficient (SDC) maps in separating liver cysts, hemangiomas, and solid masses with a focus on small lesions.Journal of gastrointestinal oncology · 2026Article
- The impacts of time of echo and time of repetition on slow diffusion coefficient (SDC) measure and the potential age- and gender-related variations in liver and spleen SDC values: studies of healthy volunteers.Quantitative imaging in medicine and surgery · 2026Article
- Comparison of the normalized cerebral blood volume (CBV) between different models and evaluation of the efficacy of gadolinium leakage in evaluating preoperative adult-type gliomas.Quantitative imaging in medicine and surgery · 2026Article
- Reliable diagnosis of liver focal nodular hyperplasia by a combination of T2 weighted signal and three diffusion magnetic resonance metrics of diffusion-derived 'vessel density', slow diffusion coefficient, and apparent diffusion coefficient: a validation study of two centers' data.Quantitative imaging in medicine and surgery · 2026Article
- Improvement of magnetic resonance imaging diffusion metric 'slow diffusion coefficient (SDC)' over apparent diffusion coefficient (ADC) for isocitrate dehydrogenase (IDH) genotyping in diffuse gliomas.Quantitative imaging in medicine and surgery · 2026Article
- Evaluation of Multimodal MRI Diffusion and Multiphase CT Parameters for Estimating Glomerular Filtration Rate in Patients with Acute Renal Obstruction.Research and reports in urology · 2026Article
- Added value of slow diffusion coefficient (SDC) for the separation of benign and malignant parotid gland tumors by diffusion weighted imaging: preliminary results.BMC medical imaging · 2025Article
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Abstract
backgroundDetermining isocitrate dehydrogenase (IDH) mutation is crucial for glioma management. Slow diffusion coefficient (SDC) is a novel metric being proposed to measure in vivo tissue slow diffusion. In its basic form, SDC is derived from a high b-value diffusion-weighted image and a higher b-value diffusion-weighted image. The study attempts to distinguish IDH genotypes of diffuse gliomas using SDC alone and in combination with other two diffusion metrics of diffusion-derived vessel density (DDVD) and apparent diffusion coefficient (ADC).
methodsThis study enrolled 63 patients with diffuse gliomas (30 IDH-mutant and 33 IDH-wildtype) who underwent diffusion-weighted imaging at 3T. SDC was calculated with b = 500 and 750 mm2/s images. DDVD was calculated with b = 0 and 10 mm2/s images. ADC was calculated with b = 0 and 1000 mm2/s images. Correlations between the diffusion metrics and IDH genotypes were studied, as well as the correlation between SDC and Ki-67 expression.
resultsThere was a significant difference among three histological grading of glioma (median value: 0.472 au/s for grade-2, 0.441 au/s for grade-3, 0.364 au/s for grade-4, p < 0.0001). Based on IDH gene testing, IDH mutant negative tumors had SDC value of 0.339 ± 0.055 au/s, IDH mutant positive tumors had SDC value of 0.437 ± 0.097 au/s, with AUROC of 0.828 for separation. SDC was negatively and weakly correlated with DDVD, with Pearson r of -0.212 (p = 0.096). A combination of SDC and DDVD separated IDH mutant -/+ tumors with an AUROC of 0.886. SDC was positively and moderately correlated with ADC, with Pearson r of 0.705 (p < 0.0001). AUROC analysis shows a combination of SDC, DDVD, and ADC separated IDH mutant -/+ tumors with an AUC of 0.897. If immunohistochemistry IDH partially positive tumors were not included, a combination of SDC, DDVD and ADC separated immunohistochemistry IDH mutant -/+ tumors with an AUC of 0.911. SDC was negatively and moderately correlated with Ki 67 LI, with Pearson r of -0.382 (p = 0.002).
conclusionSDC can help to distinguish IDH genotypes in diffuse gliomas. A combination of SDC and DDVD, or a combination of SDC, DDVD, and ADC, can further improve disease classification. CLINICAL TRIAL NUMBER: Not applicable.
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