Time-dependent diffusion-weighted imaging assessment of tumor grading and isocitrate dehydrogenase genotypes in adult-type diffuse gliomas
In HGGs, the mean and 5th percentile values of ADC44.5ms and ADC7.1ms were significantly lower, whereas cADC and rcADC indices were significantly higher than those in LGGs. Performance of the mean rcADC (area under the ROC curve: 0.925; 95% confidence interval: 0.855-0.967) was significantly better than any index of conventional ADCs for tumor grade classification. The mean rcADC demonstrated the strongest correlation with Ki-67LI (ρ = 0.542, p < 0.0001). Moreover, the 95th percentile of rcADC was an independent predictor of IDH-wildtype gliomas after adjustment for age and sex, was useful for distinguishing IDH-wildtype from IDH-mutant gliomas CONCLUSIONS: The mean rcADC showed the strongest correlation with the Ki-67 LI and achieved better diagnostic performance than conventional PGSE-based ADC for differentiating LGGs from HGGs. In multivariable analyses, the mean and 95th percentile of rcADC were identified as independent predictors of HGGs and IDH-wildtype gliomas, respectively.
Authors
- Masatoyo Nakajo
- Nayuta Higa (ORCID: https://orcid.org/0000-0001-8853-8769)
- Daisuke Hirahara (ORCID: https://orcid.org/0000-0003-0243-5086)
- Fumitaka Ejima (ORCID: https://orcid.org/0009-0003-6331-8796)
- Thorsten Feiweier (ORCID: https://orcid.org/0009-0005-3537-9844)
- Kiyohisa Kamimura (ORCID: https://orcid.org/0000-0003-4191-9358)
- Akie Mukai
- Masanori Nakajo
- Hirokazu OTSUKA
- Akihide Tanimoto
- Tsubasa Nakano (ORCID: https://orcid.org/0009-0009-7071-9081)
- Mari Kirishima (ORCID: https://orcid.org/0000-0002-6997-8336)
- Hiroshi Imai (ORCID: https://orcid.org/0000-0002-0880-0091)
- Tomohito Hasegawa
- Ryosuke Hanaya (ORCID: https://orcid.org/0000-0002-4170-4878)
- Junki Kamizono (ORCID: https://orcid.org/0000-0002-5000-5403)
- K. Takumi
- Hiroaki Nagano
- Yoshiki Kamimura
- Yonezawa Hajime
- Takashi Yoshiura
- Daiki Tobo
Institutions
- Kagoshima University (JP)
- Siemens (Germany) (DE)
- Kagoshima Women's Junior College (JP)
- Kagoshima University Hospital (JP)
- Siemens Healthineers (Germany) (DE)
Publication Details
- Journal
- Japanese Journal of Radiology
- Published
- 2026-01-05
- DOI
- https://doi.org/10.1007/s11604-025-01936-w
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Kagoshima University
- Japan Society for the Promotion of Science