Citation: | SUN Pengfei, MOU Fuling, MA Li, FU Zhengfeng. Correlation Between Apparent Diffusion Coefficient and IDH-1/1p19q Genotype of Glioma[J]. Cancer Research on Prevention and Treatment, 2023, 50(3): 271-275. DOI: 10.3971/j.issn.1000-8578.2023.22.0698 |
To investigate the correlation between ADC value and glioma IDH-1/1p19q genotype.
The MRI features and molecular pathological results of 69 patients with pathologically confirmed diagnosis of WHO grade Ⅱ/Ⅲ glioma between March 2013 and December 2020 were retrospectively analyzed. The diagnostic performance of ADC values on glioma genotypes (IDH-1, 1p19q) was evaluated using the ROC curve of the subjects' working characteristics.
The ADCmean, ADCmin, rADCmean, and rADCmin in the IDH-1 mutation group were significantly higher than those in the IDH-1 wild group (P < 0.05, P < 0.01, P < 0.05, P < 0.01). The use of the rADCmin threshold (0.979×103mm2/s) had the highest efficacy (AUC=0.770) for diagnosis of IDH-1 mutant and IDH-1 wild-type gliomas as well as sensitivity and specificity of 84.61% and 59.09%, respectively.
ADC can be used as an imaging biomarker for noninvasive prediction of IDH-1 mutant and wild-type Ⅱ /Ⅲ gliomas.
Competing interests: The authors declare that they have no competing interests.
[1] |
Hanif F, Muzaffar K, Perveen K, et al. Glioblastoma multiforme: a review of its epidemiology and pathogenesis through clinical presentation and treatment[J]. Asian Pac J Cancer Prev, 2017, 18(1): 3-9.
|
[2] |
Villanueva-Meyer JE, Wood MD, Choi BS, et al. MRI Features and IDH Mutational Status of Grade Ⅱ Diffuse Gliomas: Impact on Diagnosis and Prognosis[J]. AJR Am J Roentgenol, 2018, 210(3): 621-628. doi: 10.2214/AJR.17.18457
|
[3] |
Wu CC, Jain R, Radmanesh A, et al. Predicting Genotype and Survival in Glioma Using Standard Clinical MR Imaging Apparent Diffusion Coefficient Images: A Pilot Study from The Cancer Genome Atlas[J]. AJNR Am J Neuroradiol, 2018, 39(10): 1814-1820. doi: 10.3174/ajnr.A5794
|
[4] |
Maynard J, Okuchi S, Wastling S, et al. World Health Organization Grade Ⅱ /Ⅲ Glioma Molecular Status: Prediction by MRI Morphologic Features and Apparent Diffusion Coefficient[J]. Radiology, 2020, 296(1): 111-121. doi: 10.1148/radiol.2020191832
|
[5] |
张宇, 何堃宇, 冯世宇. 脑胶质瘤诊疗进展[J]. 肿瘤防治研究, 2022, 49(6): 528-534. doi: 10.3971/j.issn.1000-8578.2022.21.1337
Zhang Y, He KY, Feng SY. Current Progress in Treatment of Glioma[J]. Zhong Liu Fang Zhi Yan Jiu, 2022, 49(6): 528-534. doi: 10.3971/j.issn.1000-8578.2022.21.1337
|
[6] |
Morshed RA, Young JS, Hervey-Jumper SL, et al. The management of low-grade gliomas in adults[J]. J Neurosurg Sci, 2019, 63(4): 450-457.
|
[7] |
Van Den Bent MJ, Bromberg JE, Buckner J. Low-grade and anaplastic oligodendroglioma[J]. Handb Clin Neurol, 2016, 134: 361-380.
|
[8] |
Miller KD, Ostrom QT, Kruchko C, et al. Brain and other central nervous system tumor statistics, 2021[J]. CA Cancer J Clin, 2021, 71(5): 381-406. doi: 10.3322/caac.21693
|
[9] |
Cairns RA, Mak TW. Oncogenic isocitrate dehydrogenase mutations: mechanisms, models, and clinical opportunities[J]. Cancer Discov, 2013, 3(7): 730-741. doi: 10.1158/2159-8290.CD-13-0083
|
[10] |
卫力文, 姚冰, 孙佩欣, 等. 63例高级别胶质瘤中IDH-1和TERT突变状态的预后价值[J]. 现代肿瘤医学, 2020, 28(14): 2412-2416. doi: 10.3969/j.issn.1672-4992.2020.14.010
Wei LW, Yao B, Sun PX, et al. Prognostic significance of IDH1 and TERT promotor mutations in 63 patients with high-grade gliomas[J]. Xian Dai Zhong Liu Yi Xue, 2020, 28(14): 2412-2416. doi: 10.3969/j.issn.1672-4992.2020.14.010
|
[11] |
Jansen M, Yip S, Louis DN. Molecular pathology in adult gliomas: diagnostic, prognostic, and predictive markers[J]. Lancet Neurol, 2010, 9(7): 717-726. doi: 10.1016/S1474-4422(10)70105-8
|
[12] |
Wang QP, Lei DQ, Yuan Y, et al. Accuracy of ADC derived from DWI for differentiating high-grade from low-grade gliomas: Systematic review and meta-analysis[J]. Medicine (Baltimore), 2020, 99(8): e19254. doi: 10.1097/MD.0000000000019254
|
[13] |
Thust SC, Maynard JA, Benenati M, et al. Regional and Volumetric Parameters for Diffusion-Weighted WHO Grade Ⅱ and Ⅲ Glioma Genotyping: A Method Comparison[J]. AJNR Am J Neuroradiol, 2021, 42(3): 441-447. doi: 10.3174/ajnr.A6965
|
[14] |
Park YW, Han K, Ahn SS, et al. Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Glioma[J]. AJNR Am J Neuroradiol, 2018, 39(1): 37-42. doi: 10.3174/ajnr.A5421
|
[15] |
Gihr GA, Horvath-Rizea D, Hekeler E, et al. Histogram Analysis of Diffusion Weighted Imaging in Low-Grade Gliomas: in vivo Characterization of Tumor Architecture and Corresponding Neuropathology[J]. Front Oncol, 2020, 10: 206. doi: 10.3389/fonc.2020.00206
|
[16] |
Liu D, Gao SX, Liao HF, et al. A Comparative Study of 2 Different Segmentation Methods of ADC Histogram for Differentiation Genetic Subtypes in Lower-Grade Diffuse Gliomas[J]. Biomed Res Int, 2020, 2020: 9549361.
|
[17] |
刘丹, 徐婧梅, 廖鸿帆, 等. 表观扩散系数直方图鉴别弥漫性较低级别脑胶质瘤分子亚型的价值[J]. 中国医学科学院学报, 2020, 42(4): 444-451. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYKX202004003.htm
Liu D, Xu JM, Liao HF, et al. Diffusion Coefficient Histogram Analysis: Differentiation of Genetic Subtypes of Diffuse Lower-grade Gliomas[J]. Zhongguo Yi Xue Ke Xue Yuan Xue Bao, 2020, 42(4): 444-451. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYKX202004003.htm
|
[18] |
Yan J, Zhang B, Zhang ST, et al. Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients[J]. NPJ Precis Oncol, 2021, 5(1): 72-75. doi: 10.1038/s41698-021-00205-z
|
[1] | WU Xiaoyan, WANG Sujie, WANG Fang, DU Ziming, DENG Ling. Clinicopathologic Characteristics and Prognosis of Oligodendroglioma with IDH Mutation and 1p/19q Codeletion[J]. Cancer Research on Prevention and Treatment, 2024, 51(3): 178-184. DOI: 10.3971/j.issn.1000-8578.2024.23.1036 |
[2] | LI Basen, LIU Liangjin, RUAN Yajun, TAN Fangqin, LI Qin, HAN Yunfeng. Evaluation of Therapeutic Response to Endocrine Therapy for Prostate Cancer by MRI Diffusion-weighted Imaging Based on PI-RADSv2.1[J]. Cancer Research on Prevention and Treatment, 2023, 50(7): 694-699. DOI: 10.3971/j.issn.1000-8578.2023.22.1396 |
[3] | LIU Guichao, HU Xuefeng, ZHAO Hai, HE Xiaohong, TENG Jianjian, GUO Jiangui, WU Haijun. Diffusion-weighted Magnetic Resonance Imaging Evaluates Salivary Gland Function Damage in Nasopharyngeal Carcinoma Patients Treated with Intensity-modulated Radiation Therapy[J]. Cancer Research on Prevention and Treatment, 2019, 46(10): 905-910. DOI: 10.3971/j.issn.1000-8578.2019.19.0367 |
[4] | XIAO Nan, LU Yanrong, ZHU Li'na, LIU Yan, CAO Yanzhen, ZHANG Jinrong. Role of Diffusion-weighted Magnetic Resonance Imaging in Forecasting Curative Effect of Preoperative Chemoradiotherapy on Locally Advanced Rectal Cancer[J]. Cancer Research on Prevention and Treatment, 2019, 46(4): 333-337. DOI: 10.3971/j.issn.1000-8578.2019.18.1385 |
[5] | GONG Huilin, LIANG Hua, ZHANG Jiaojiao, WANG Yuanyuan, ZHANG Guanjun, SONG Jinning. Correlation Between Codeletion of Chromosome 1p/19q and MGMT Promoter Methylation in Oligodendrogliomas[J]. Cancer Research on Prevention and Treatment, 2018, 45(8): 550-554. DOI: 10.3971/j.issn.1000-8578.2018.17.1543 |
[6] | FAN Yanghua, YE Minhua, ZHU Xingen. Research Status and Development of Adherens Junction Associated Protein-1 in Gliomas[J]. Cancer Research on Prevention and Treatment, 2015, 42(09): 920-923. DOI: 10.3971/j.issn.1000-8578.2015.09.013 |
[7] | HUANG Jin-bai, REN Bo-xu, LEI Hong-wei, CAI Xing-yu, XIONG Hao, CHEN Chang-yi. Correlations between CT Perfusion Imaging and Microvessel Density in Gliomas[J]. Cancer Research on Prevention and Treatment, 2011, 38(01): 77-79. DOI: 10.3971/j.issn.1000-8578.2011.01.022 |
[8] | SUN Jun-hui, CUI Jian-ling, LI Jian-ping. A Study of MR Diffusion-Weighted Imaging of Implanted Osteosarcoma[J]. Cancer Research on Prevention and Treatment, 2006, 33(12): 892-894. DOI: 10.3971/j.issn.1000-8578.3358 |
[9] | YI Hai-bo, SHI Song-sheng, YANG Wei-zhong, CHEN Chun-mei. The Expression and Significance of Notch-1 Gene in Human Gliomas[J]. Cancer Research on Prevention and Treatment, 2006, 33(10): 701-703. DOI: 10.3971/j.issn.1000-8578.881 |
[10] | GUO Hui, ZHANG Jing, ZHANG Yun-ting. Preliminary Study of Diffusion Tensor Imaging in Differentiating Diagnosis of High-grade Gliomas and Metastatic Tumors[J]. Cancer Research on Prevention and Treatment, 2004, 31(10): 631-633. DOI: 10.3971/j.issn.1000-8578.2561 |