Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-weighted imaging
Abstract Background Intratumor heterogeneity (ITH) is a key biological characteristic of gliomas. This study aimed to characterize ITH in adult-type diffuse gliomas and assess the feasibility of using habitat imaging based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusi...
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BMC
2025-02-01
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| Series: | Cancer Imaging |
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| Online Access: | https://doi.org/10.1186/s40644-025-00829-5 |
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| author | Xingrui Wang Zhenhui Xie Xiaoqing Wang Yang Song Shiteng Suo Yan Ren Wentao Hu Yi Zhu Mengqiu Cao Yan Zhou |
| author_facet | Xingrui Wang Zhenhui Xie Xiaoqing Wang Yang Song Shiteng Suo Yan Ren Wentao Hu Yi Zhu Mengqiu Cao Yan Zhou |
| author_sort | Xingrui Wang |
| collection | DOAJ |
| description | Abstract Background Intratumor heterogeneity (ITH) is a key biological characteristic of gliomas. This study aimed to characterize ITH in adult-type diffuse gliomas and assess the feasibility of using habitat imaging based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) to preoperatively predict isocitrate dehydrogenase (IDH) genotypes and prognosis. Methods Sixty-three adult-type diffuse gliomas with known IDH genotypes were enrolled. Volume transfer constant (Ktrans) and apparent diffusion coefficient (ADC) maps were acquired from DCE-MRI and DWI, respectively. After tumor segmentation, the k-means algorithm clustered Ktrans and ADC image voxels to generate spatial habitats and extract quantitative image features. Receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to evaluate IDH predictive performance. Multivariable logistic regression models were constructed and validated using leave-one-out cross-validation, and the contrast-enhanced subgroup was analyzed independently. Kaplan-Meier and Cox proportional hazards regression analyses were used to investigate the relationship between tumor habitats and progression-free survival (PFS) in the two IDH groups. Results Three habitats were identified: Habitat 1 (hypo-vasopermeability and hyper-cellularity), Habitat 2 (hypo-vasopermeability and hypo-cellularity), and Habitat 3 (hyper-vasopermeability). Compared to the IDH wild-type group, the IDH mutant group exhibited lower mean Ktrans values in Habitats 1 and 2 (both P < 0.001), higher volume (P < 0.05) and volume percentage (pVol, P < 0.01) of Habitat 2, and lower volume and pVol of Habitat 3 (both P < 0.001). The optimal logistic regression model for IDH prediction yielded an AUC of 0.940 (95% confidence interval [CI]: 0.880–1.000), which improved to 0.948 (95% CI: 0.890–1.000) after cross-validation. Habitat 2 contributed the most to the model, consistent with the findings in the contrast-enhanced subgroup. In IDH wild-type group, pVol of Habitat 2 was identified as a significant risk factor for PFS (high- vs. low-pVol subgroup, hazard ratio = 2.204, 95% CI: 1.061–4.580, P = 0.034), with a value below 0.26 indicating a 5-month median survival benefit. Conclusions Habitat imaging employing DCE-MRI and DWI may facilitate the characterization of ITH in adult-type diffuse gliomas and serve as a valuable adjunct in the preoperative prediction of IDH genotypes and prognosis. Clinical trial number Not applicable. |
| format | Article |
| id | doaj-art-6dfc91e538d342bfa299a17f9d7fb6d0 |
| institution | Kabale University |
| issn | 1470-7330 |
| language | English |
| publishDate | 2025-02-01 |
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| series | Cancer Imaging |
| spelling | doaj-art-6dfc91e538d342bfa299a17f9d7fb6d02025-02-09T12:52:42ZengBMCCancer Imaging1470-73302025-02-0125111410.1186/s40644-025-00829-5Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-weighted imagingXingrui Wang0Zhenhui Xie1Xiaoqing Wang2Yang Song3Shiteng Suo4Yan Ren5Wentao Hu6Yi Zhu7Mengqiu Cao8Yan Zhou9Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Radiology, Renji Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Radiology, Tongren Hospital, Shanghai Jiao Tong University School of MedicineMR Research Collaboration Team, Siemens Healthineers LtdDepartment of Radiology, Renji Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Radiology, Huashan Hospital, Fudan UniversityDepartment of Radiology, Renji Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Radiology, Renji Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Radiology, Renji Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Radiology, Renji Hospital, Shanghai Jiao Tong University School of MedicineAbstract Background Intratumor heterogeneity (ITH) is a key biological characteristic of gliomas. This study aimed to characterize ITH in adult-type diffuse gliomas and assess the feasibility of using habitat imaging based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) to preoperatively predict isocitrate dehydrogenase (IDH) genotypes and prognosis. Methods Sixty-three adult-type diffuse gliomas with known IDH genotypes were enrolled. Volume transfer constant (Ktrans) and apparent diffusion coefficient (ADC) maps were acquired from DCE-MRI and DWI, respectively. After tumor segmentation, the k-means algorithm clustered Ktrans and ADC image voxels to generate spatial habitats and extract quantitative image features. Receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to evaluate IDH predictive performance. Multivariable logistic regression models were constructed and validated using leave-one-out cross-validation, and the contrast-enhanced subgroup was analyzed independently. Kaplan-Meier and Cox proportional hazards regression analyses were used to investigate the relationship between tumor habitats and progression-free survival (PFS) in the two IDH groups. Results Three habitats were identified: Habitat 1 (hypo-vasopermeability and hyper-cellularity), Habitat 2 (hypo-vasopermeability and hypo-cellularity), and Habitat 3 (hyper-vasopermeability). Compared to the IDH wild-type group, the IDH mutant group exhibited lower mean Ktrans values in Habitats 1 and 2 (both P < 0.001), higher volume (P < 0.05) and volume percentage (pVol, P < 0.01) of Habitat 2, and lower volume and pVol of Habitat 3 (both P < 0.001). The optimal logistic regression model for IDH prediction yielded an AUC of 0.940 (95% confidence interval [CI]: 0.880–1.000), which improved to 0.948 (95% CI: 0.890–1.000) after cross-validation. Habitat 2 contributed the most to the model, consistent with the findings in the contrast-enhanced subgroup. In IDH wild-type group, pVol of Habitat 2 was identified as a significant risk factor for PFS (high- vs. low-pVol subgroup, hazard ratio = 2.204, 95% CI: 1.061–4.580, P = 0.034), with a value below 0.26 indicating a 5-month median survival benefit. Conclusions Habitat imaging employing DCE-MRI and DWI may facilitate the characterization of ITH in adult-type diffuse gliomas and serve as a valuable adjunct in the preoperative prediction of IDH genotypes and prognosis. Clinical trial number Not applicable.https://doi.org/10.1186/s40644-025-00829-5Adult-type diffuse gliomaIntratumor heterogeneityIsocitrate dehydrogenaseProgression-free survivalDynamic contrast-enhanced perfusionDiffusion-weighted imaging |
| spellingShingle | Xingrui Wang Zhenhui Xie Xiaoqing Wang Yang Song Shiteng Suo Yan Ren Wentao Hu Yi Zhu Mengqiu Cao Yan Zhou Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-weighted imaging Cancer Imaging Adult-type diffuse glioma Intratumor heterogeneity Isocitrate dehydrogenase Progression-free survival Dynamic contrast-enhanced perfusion Diffusion-weighted imaging |
| title | Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-weighted imaging |
| title_full | Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-weighted imaging |
| title_fullStr | Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-weighted imaging |
| title_full_unstemmed | Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-weighted imaging |
| title_short | Preoperative prediction of IDH genotypes and prognosis in adult-type diffuse gliomas: intratumor heterogeneity habitat analysis using dynamic contrast-enhanced MRI and diffusion-weighted imaging |
| title_sort | preoperative prediction of idh genotypes and prognosis in adult type diffuse gliomas intratumor heterogeneity habitat analysis using dynamic contrast enhanced mri and diffusion weighted imaging |
| topic | Adult-type diffuse glioma Intratumor heterogeneity Isocitrate dehydrogenase Progression-free survival Dynamic contrast-enhanced perfusion Diffusion-weighted imaging |
| url | https://doi.org/10.1186/s40644-025-00829-5 |
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