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Prediction of H3 K27M-mutant in midline gliomas by magnetic resonance imaging: a systematic review and meta-analysis

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Abstract

Purpose

To summarize the predictive value of MRI for H3 K27M-mutant in midline gliomas using meta-analysis.

Methods

Systematic electronic searches of the PubMed, Embase, ISI Web of Science, and Cochrane Library up to Jun 31, 2021, were conducted by two experienced neuroradiologists with the keywords of “MRI,” “Glioma,” and “H3 K27M.” The hierarchical summary receiver-operating characteristic (HSROC) model was used to calculate the pooled sensitivity, specificity, positive likelihood ratio (LR +), negative likelihood ratio (LR −), and diagnostic odds ratio (DOR). Coupled forest plots were used to evaluate the heterogeneity of the included studies.

Results

Of seven original studies with a total of 593 patients, 240 glioma patients were included, with 45.5–70.6% H3 K27M-mutant gliomas. Using MRI, a pooled sensitivity of 0.78 (95% CI, 0.66–0.87), specificity of 0.85 (95% CI, 0.76–0.91), LR + of 5.07 (95% CI, 3.19–8.08), LR − of 0.26 (95% CI, 0.16–0.42), and DOR of 19.80 (95% CI, 9.28–42.28) were achieved for H3 K27M-mutant prediction. Significant heterogeneity was observed among the studies in terms of sensitivity (Q = 16.83, df = 7, p = 0.02; I2 = 58.40 [95% CI, 25.83–90.97]), LR − (Q = 16.61, df = 7, p = 0.02; I2 = 57.87 [95% CI, 24.81–90.93]), and DOR (Q = 14.05, df = 7, p = 0.05; I2 = 50.18 [95% CI, 10.06–90.31]).

Conclusions

This meta-analysis demonstrated a clinical value of MRI to predict H3 K27M-mutant in midline gliomas with a pooled sensitivity of 0.78 and specificity of 0.85.

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Funding

This study was funded by the National Science Foundation of China (Nos. 81870958 and 81571631), the Beijing Municipal Natural Science Foundation for Distinguished Young Scholars (No. JQ20035), the Special Fund of the Pediatric Medical Coordinated Development Center of Beijing Hospitals Authority (No. XTYB201831).

Author information

Author notes

  1. Liwei Zhang and Yaou Liu were senior authors, who contributed equally to this work.

  2. Tiantian Hua and Zhizheng Zhuo were first authors, who contributed equally to this work.

Authors and Affiliations

  1. Department of Radiology, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China

    Tiantian Hua, Zhizheng Zhuo, Yunyun Duan & Yaou Liu

  2. Center for Neuroinflammation, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China

    Xindi Li

  3. China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100085, China

    Hongqiu Gu

  4. National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100085, China

    Hongqiu Gu

  5. Department of Imaging and Medical Informatics, University Hospitals of Geneva and Faculty of Medicine of the University of Geneva, Geneva, Switzerland

    Sven Haller

  6. Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Beijing, 100070, China

    Peng Zhang & Liwei Zhang

  7. Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China

    Xing Liu

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  1. Tiantian Hua
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Key points

• MRI could predict H3 K27M-mutant in midline gliomas.

• MRI is essential for preoperative diagnostic and postoperative monitoring of H3 K27M-mutant in midline gliomas in a non-invasive and repeatable way.

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Hua, T., Zhuo, Z., Duan, Y. et al. Prediction of H3 K27M-mutant in midline gliomas by magnetic resonance imaging: a systematic review and meta-analysis. Neuroradiology 64, 1311–1319 (2022). https://doi.org/10.1007/s00234-022-02947-4

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