Noninvasive prediction of Ki-67 expression level in IDH-wildtype glioblastoma using MRI histogram analysis: comparison and combination of MRI morphological features
PurposeTo assess and compare the effectiveness of magnetic resonance imaging (MRI) morphological features and MRI histogram analysis in noninvasively predicting Ki-67 expression levels in patients with IDH-wildtype glioblastoma.MethodsForty-six cases of IDH-wildtype glioblastoma with measured Ki-67...
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Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1577816/full |
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| author | Qiang Liang Qiang Liang Qiang Liang Qiang Li Qiang Li Qiang Li Xianwang Liu Shuqi Shao Shuqi Shao Shuqi Shao Yawen Pan Yawen Pan Yawen Pan Hongyu Wang Hongyu Wang Hongyu Wang |
| author_facet | Qiang Liang Qiang Liang Qiang Liang Qiang Li Qiang Li Qiang Li Xianwang Liu Shuqi Shao Shuqi Shao Shuqi Shao Yawen Pan Yawen Pan Yawen Pan Hongyu Wang Hongyu Wang Hongyu Wang |
| author_sort | Qiang Liang |
| collection | DOAJ |
| description | PurposeTo assess and compare the effectiveness of magnetic resonance imaging (MRI) morphological features and MRI histogram analysis in noninvasively predicting Ki-67 expression levels in patients with IDH-wildtype glioblastoma.MethodsForty-six cases of IDH-wildtype glioblastoma with measured Ki-67 expression levels from January 2022 to July 2024 were retrospectively collected. They were divided into Ki-67 low-level expression group (Ki-67<20%, n=20) and Ki-67 high-level expression group (Ki-67≥20%, n=26) according to Ki-67 expression level. MRI morphological features were assessed and recorded. MRI histogram analysis were performed on contrast-enhanced T1-weighted images. Differences between these parameters were compared between the two groups. The diagnostic performance was assessed by the area under the receiver operating characteristic curve (AUC). Spearman correlation was used to evaluate the relationship between histogram parameters and Ki-67 expression level.ResultsHemorrhage was more prone to occur in the Ki-67 high-level expression group (P=0.017). The min, P01, P50, and P75 of IDH-wildtype glioblastoma Ki-67 high-level expression group were higher than those of the Ki-67 low-level expression group (P<0.00357). There was a significant positive correlation between the min (r=0.774), P01 (r=0.729), P50 (r=0.625), P75 (r=0.591), and Ki-67 expression level (P<0.05). The optimal diagnostic performance was obtained by combining MRI morphological features and histogram parameters, with an AUC of 0.867.ConclusionBoth MRI morphological features and histogram parameters could predict the Ki-67 expression level in IDH-wildtype glioblastoma, and the combined model integrating MRI morphological features and histogram parameters can be an excellent imaging biomarker for noninvasively predicting Ki-67 expression levels in patients with IDH-wildtype glioblastoma. |
| format | Article |
| id | doaj-art-79b80324ef624cb7b9b4a9a129b4e1eb |
| institution | OA Journals |
| issn | 2234-943X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Oncology |
| spelling | doaj-art-79b80324ef624cb7b9b4a9a129b4e1eb2025-08-20T02:31:44ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-05-011510.3389/fonc.2025.15778161577816Noninvasive prediction of Ki-67 expression level in IDH-wildtype glioblastoma using MRI histogram analysis: comparison and combination of MRI morphological featuresQiang Liang0Qiang Liang1Qiang Liang2Qiang Li3Qiang Li4Qiang Li5Xianwang Liu6Shuqi Shao7Shuqi Shao8Shuqi Shao9Yawen Pan10Yawen Pan11Yawen Pan12Hongyu Wang13Hongyu Wang14Hongyu Wang15Department of Neurosurgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, ChinaKey Laboratory of Neurology of Gansu Province, Lanzhou University, Lanzhou, Gansu, ChinaAcademician Workstation of The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, ChinaDepartment of Neurosurgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, ChinaKey Laboratory of Neurology of Gansu Province, Lanzhou University, Lanzhou, Gansu, ChinaAcademician Workstation of The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, ChinaThe Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, ChinaDepartment of Neurosurgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, ChinaKey Laboratory of Neurology of Gansu Province, Lanzhou University, Lanzhou, Gansu, ChinaAcademician Workstation of The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, ChinaDepartment of Neurosurgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, ChinaKey Laboratory of Neurology of Gansu Province, Lanzhou University, Lanzhou, Gansu, ChinaAcademician Workstation of The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, ChinaDepartment of Neurosurgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, ChinaKey Laboratory of Neurology of Gansu Province, Lanzhou University, Lanzhou, Gansu, ChinaAcademician Workstation of The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, ChinaPurposeTo assess and compare the effectiveness of magnetic resonance imaging (MRI) morphological features and MRI histogram analysis in noninvasively predicting Ki-67 expression levels in patients with IDH-wildtype glioblastoma.MethodsForty-six cases of IDH-wildtype glioblastoma with measured Ki-67 expression levels from January 2022 to July 2024 were retrospectively collected. They were divided into Ki-67 low-level expression group (Ki-67<20%, n=20) and Ki-67 high-level expression group (Ki-67≥20%, n=26) according to Ki-67 expression level. MRI morphological features were assessed and recorded. MRI histogram analysis were performed on contrast-enhanced T1-weighted images. Differences between these parameters were compared between the two groups. The diagnostic performance was assessed by the area under the receiver operating characteristic curve (AUC). Spearman correlation was used to evaluate the relationship between histogram parameters and Ki-67 expression level.ResultsHemorrhage was more prone to occur in the Ki-67 high-level expression group (P=0.017). The min, P01, P50, and P75 of IDH-wildtype glioblastoma Ki-67 high-level expression group were higher than those of the Ki-67 low-level expression group (P<0.00357). There was a significant positive correlation between the min (r=0.774), P01 (r=0.729), P50 (r=0.625), P75 (r=0.591), and Ki-67 expression level (P<0.05). The optimal diagnostic performance was obtained by combining MRI morphological features and histogram parameters, with an AUC of 0.867.ConclusionBoth MRI morphological features and histogram parameters could predict the Ki-67 expression level in IDH-wildtype glioblastoma, and the combined model integrating MRI morphological features and histogram parameters can be an excellent imaging biomarker for noninvasively predicting Ki-67 expression levels in patients with IDH-wildtype glioblastoma.https://www.frontiersin.org/articles/10.3389/fonc.2025.1577816/fullbrain tumorglioblastomamagnetic resonance imaginghistogram analysisKi-67 |
| spellingShingle | Qiang Liang Qiang Liang Qiang Liang Qiang Li Qiang Li Qiang Li Xianwang Liu Shuqi Shao Shuqi Shao Shuqi Shao Yawen Pan Yawen Pan Yawen Pan Hongyu Wang Hongyu Wang Hongyu Wang Noninvasive prediction of Ki-67 expression level in IDH-wildtype glioblastoma using MRI histogram analysis: comparison and combination of MRI morphological features Frontiers in Oncology brain tumor glioblastoma magnetic resonance imaging histogram analysis Ki-67 |
| title | Noninvasive prediction of Ki-67 expression level in IDH-wildtype glioblastoma using MRI histogram analysis: comparison and combination of MRI morphological features |
| title_full | Noninvasive prediction of Ki-67 expression level in IDH-wildtype glioblastoma using MRI histogram analysis: comparison and combination of MRI morphological features |
| title_fullStr | Noninvasive prediction of Ki-67 expression level in IDH-wildtype glioblastoma using MRI histogram analysis: comparison and combination of MRI morphological features |
| title_full_unstemmed | Noninvasive prediction of Ki-67 expression level in IDH-wildtype glioblastoma using MRI histogram analysis: comparison and combination of MRI morphological features |
| title_short | Noninvasive prediction of Ki-67 expression level in IDH-wildtype glioblastoma using MRI histogram analysis: comparison and combination of MRI morphological features |
| title_sort | noninvasive prediction of ki 67 expression level in idh wildtype glioblastoma using mri histogram analysis comparison and combination of mri morphological features |
| topic | brain tumor glioblastoma magnetic resonance imaging histogram analysis Ki-67 |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2025.1577816/full |
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