Volume 21 Issue 12
Dec.  2023
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Article Navigation >  Chinese Journal of General Practice  > 2023  >  21(12): 2106-2110
ZHAO Shasha, XIN Yongkang, ZHANG Kai, WANG Ying, LIU Jinlin, YANG Yang, WANG Wen. Prediction of IDH-1 mutation status in WHO grade Ⅱ and Ⅲ gliomas by radiomics combined with T1-weighted contrast-enhanced image[J]. Chinese Journal of General Practice, 2023, 21(12): 2106-2110. doi: 10.16766/j.cnki.issn.1674-4152.003301
Citation: ZHAO Shasha, XIN Yongkang, ZHANG Kai, WANG Ying, LIU Jinlin, YANG Yang, WANG Wen. Prediction of IDH-1 mutation status in WHO grade Ⅱ and Ⅲ gliomas by radiomics combined with T1-weighted contrast-enhanced image[J]. Chinese Journal of General Practice, 2023, 21(12): 2106-2110. doi: 10.16766/j.cnki.issn.1674-4152.003301
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Prediction of IDH-1 mutation status in WHO grade Ⅱ and Ⅲ gliomas by radiomics combined with T1-weighted contrast-enhanced image

doi: 10.16766/j.cnki.issn.1674-4152.003301

  • Department of Radiology, the Second Affiliated Hospital, Air Force Military Medical University, Xi'an, Shaanxi 710038, China

Funds:

 82102127

  • Received Date: 2023-05-12
    Available Online: 2024-01-29
    Abstract
  •   Objective  To explore the diagnostic efficiency of T1-weighted contrast-enhanced image (T1CE) radiomic features and clinical-related parameters in predicting isocitrate dehydrogenase-1 (IDH-1) gene mutations in WHO grade Ⅱ and Ⅲ gliomas.  Methods  MRI data of 135 patients with WHO grade Ⅱ and Ⅲ gliomas (51 cases in the IDH-1 wild type group and 84 cases in the IDH-1 mutant type group) confirmed by surgery and pathology from the Second Affiliated Hospital of Air Force Military Medical University between January 2017 and July 2019 were selected. The volume of interest (VOI) of the whole tumor-enhanced part was manually drawn on T1CE using ITK-SNAP, and 1 044 radiomic features from the VOI were extracted by using the software of A.K. software. Random forest (RF) algorithm and 5-fold cross-validation method were used to verify the radiomic model in predicting the diagnostic efficiency of IDH-1 mutations of WHO grade Ⅱ and Ⅲ gliomas.  Results  There were statistical differences in the location of the disease and nodular/ring enhancement between IDH-1 mutant and IDH-1 wild-type groups (all P < 0.05), but no significant differences in other MRI morphological characteristics between the two groups. The AUC value of the area under the ROC curve from the iradiomic model was 0.794, the sensitivity was 61.4%, the specificity was 76.7%, and the accuracy was 70.9%. After the feature selection of the RF classifier, the first 30 optimal features were selected to predict IDH-1 mutation, which had the same efficiency as all the radiomic features, and significantly reduced the redundant information.  Conclusion  Radiomics combined with T1CE can effectively predict the IDH-1 mutation status of WHO grade Ⅱ and Ⅲ gliomas. RF classifier model has the potential to predict IDH-1 mutations, which may provide an imaging basis for early diagnosis and individualized treatment of glioma patients.

     

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    • References(16)
  • [1]
    OSTROM Q T, PRICE M, NEFF C, et al. CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2015-2019[J]. Neuro Oncol, 2022, 24(Suppl 5): v1-v95.
    [2]
    汪潮潮, 程哲, 常雪莲, 等. 肿瘤坏死因子α诱导蛋白3在胶质瘤中的表达特性及其对胶质瘤细胞侵袭和迁移的影响[J]. 中华全科医学, 2022, 20(5): 756-760. doi: 10.16766/j.cnki.issn.1674-4152.002447

    WANG C C, CHENG Z, CHANG X L, et al. Expression characteristics of tumor necrosis factor alpha inducible protein 3 in glioma and its effect on invasion and migration of glioma cell[J]. Chinese Journal of General Practice, 2022, 20(5): 756-760. doi: 10.16766/j.cnki.issn.1674-4152.002447
    [3]
    高丽萍, 曹风军. 大分割立体定向放疗联合重组人血管内皮抑制素治疗复发性脑胶质瘤的疗效分析[J]. 临床内科杂志, 2021, 38(07): 480-482.

    GAO L P, CAO F J. Efficacy analysis of large segmentation stereotactic radiotherapy combined with recombinant human endostatin in the treatment of recurrent brain glioma[J]. Journal of Clinical Internal Medicine, 2021, 38(07): 480-482.
    [4]
    LASOCKI A, ANJARI M, ORS KOKURCAN S, et al. Conventional MRI features of adult diffuse glioma molecular subtypes: a systematic review[J]. Neuroradiology, 2021, 63(3): 353-362. doi: 10.1007/s00234-020-02532-7
    [5]
    PARK S I, SUH C H, GUENETTE J P, et al. The T2-FLAIR mismatch sign as a predictor of IDH-mutant, 1p/19q-noncodeleted lower-grade gliomas: a systematic review and diagnostic meta-analysis[J]. Eur Radiol, 2021, 31(7): 5289-5299. doi: 10.1007/s00330-020-07467-4
    [6]
    WELLER M, VAN DEN BENT M, PREUSSER M, et al. EANO guidelines on the diagnosis and treatment of diffuse gliomas of adulthood[J]. Nat Rev Clin Oncol, 2021, 18(3): 170-186. doi: 10.1038/s41571-020-00447-z
    [7]
    李欣, 谢继承, 王静, 等. 磁共振MRS、DWI及SWI序列在脑胶质瘤分级诊断中的应用价值[J]. 中华全科医学, 2022, 20(9): 1541-1544. doi: 10.16766/j.cnki.issn.1674-4152.002644

    LI X, XIE J C, WANG J, et al. The application value of magnetie resonance MRS, DWI and SWI sequences in the grading diagnosis of glioma[J]. Chinese Journal of General Practice, 2022, 20(9): 1541-1544. doi: 10.16766/j.cnki.issn.1674-4152.002644
    [8]
    侯仕强, 金春景, 石碑田, 等. 术前NLR、PLR和MLR在胶质瘤患者预后中的应用研究[J]. 中华全科医学, 2020, 18(7): 1118-1121. doi: 10.16766/j.cnki.issn.1674-4152.001443

    HOU S Q, JIN C J, SHI B T, et al. Application of preoperative NLR, PLR and MLR in the prognosis of patients with glioma[J]. Chinese Journal of General Practice, 2020, 18(7): 1118-1121. doi: 10.16766/j.cnki.issn.1674-4152.001443
    [9]
    ABD-ELLAH M K, AWAD A I, KHALAF A A M, et al. A review on brain tumor diagnosis from MRI images: practical implications, key achievements, and lessons learned[J]. Magn Reson Imaging, 2019, 61: 300-318. doi: 10.1016/j.mri.2019.05.028
    [10]
    ZHAO S S, FENG X L, HU Y C, et al. Better efficacy in differentiating WHO grade Ⅱ from Ⅲ oligodendrogliomas with machine-learning than radiologist' s reading from conventional T1 contrast-enhanced and fluid attenuated inversion recovery images[J]. BMC Neurology, 2020, 20(1): 48. doi: 10.1186/s12883-020-1613-y
    [11]
    IWAHASHI H, NAGASHIMA H, TANAKA K, et al. 2-Hydroxyglutarate magnetic resonance spectroscopy in adult brainstem glioma[J]. J Neurosurg, 2023, 139(2): 355-362.
    [12]
    DI STEFANO A L, NICHELLI L, BERZERO G, et al. In vivo 2-Hydroxyglutarate monitoring with edited MR spectroscopy for the follow-up of IDH-mutant diffuse gliomas: the IDASPE prospective study[J]. Neurology, 2023, 100(1): e94-e106.
    [13]
    CLÉMENT A, DOYEN M, FAUVELLE F, et al. In vivo characterization of physiological and metabolic changes related to isocitrate dehydrogenase 1 mutation expression by multiparametric MRI and MRS in a rat model with orthotopically grafted human-derived glioblastoma cell lines[J]. NMR Biomed, 2021, 34(6): e4490. DOI: 10.1002/nbm.4490.
    [14]
    CAO M Q, SUO S T, ZHANG X, et al. Qualitative and quantitative MRI analysis in IDH1 genotype prediction of lower-grade gliomas: a machine learning approach[J]. Biomed Res Int, 2021: 1235314. DOI: 10.1155/2021/1235314.
    [15]
    ZHANG Z, WEI Z Y, ZHAO L Y, et al. Assessing the clinical utility of multi-omics data for predicting serous ovarian cancer prognosis[J]. J Obstet Gynaecol, 2023, 43(1): 2171778. DOI: 10.1080/01443615.2023.2171778.
    [16]
    GALLO D M, FITZGERALD W, OMERO R, et al. Proteomic profile of extracellular vesicles in maternal plasma of women with fetal death[J]. J Matern Fetal Neonatal Med, 2023, 36(1): 2177529. DOI: 10.1080/14767058.2023.2177529.
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