Share：
Share this content in WeChat
X
[Chinese][PDF]1012107
• Clinical Article •
The value of apparent diffusion coefficient histogram in distinguishing ependymoma from anaplastic ependymoma
ZHANG Menghuan  BAI Yan  CHEN Hanlin  FENG Qin  WANG Mengke  WANG Meiyun 

Cite this article as: Zhang MH, Bai Y, Chen HL, et al. The value of apparent diffusion coefficient histogram in distinguishing ependymoma from anaplastic ependymoma. Chin J Magn Reson Imaging, 2020, 11(12): 1092-1096. DOI:10.12015/issn.1674-8034.2020.12.003.


[Abstract] Objective: To explore the value of apparent diffusion coefficient histogram in distinguishing ependymoma from anaplastic ependymoma.Materials and Methods: The information of 20 patients with intracranial ependymoma and 14 patients with anaplastic ependymoma before operation were collected retrospectively. Based on the patients' apparent diffusion coefficient images, the boundaries of tumor were delineated layer by layer as the region of interest to construct the whole lesion, and the histogram analysis of the constructed region was carried out by Mazda software. The differences between the histogram parameters of ependymoma and anaplastic ependymoma were compared, and draw the operating characteristic curve of the subjects to evaluate the diagnostic performance of relevant parameters.Results: The histogram indicators with significant differences between ependymoma and anaplastic ependymoma were: mean value (P=0.010, area under the curve=0.78), kurtosis (P=0.034, area under the curve=0.75), 99th percentile (P=0.008, area under the curve=0.76).The parameters with no significant difference between the two groups were variance, skewness and the 1st, 10th, 50th and 90th percentile (P>0.05). When the average value, kurtosis and the 99th percentile were combined for diagnosis (area under the curve=0.89, sensitivity=85.0%, specificity=85.7%), the overall diagnostic efficiency was significantly improved.Conclusions: Histogram analysis of apparent diffusion coefficient has application value in distinguishing ependymoma from anaplastic ependymoma, especially the multi-parameter combined diagnosis is more valuable.
[Keywords] apparent dispersion coefficient；histogram；diffusion weighted imaging；ependymoma；anaplastic ependymoma

ZHANG Menghuan Department of Medical Imaging, the People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou 450003, China; Henan Provincial People's Hospital, Henan Key Laboratory of Neurological Imaging, Zhengzhou 450003, China

BAI Yan Department of Medical Imaging, the People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou 450003, China; Henan Provincial People's Hospital, Henan Key Laboratory of Neurological Imaging, Zhengzhou 450003, China

CHEN Hanlin Fuzhou International Travel Health Care Center, Fuzhou 350001, China

FENG Qin Department of Medical Imaging, the People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou 450003, China; Henan Provincial People's Hospital, Henan Key Laboratory of Neurological Imaging, Zhengzhou 450003, China

WANG Mengke Department of Medical Imaging, the People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou 450003, China; Henan Provincial People's Hospital, Henan Key Laboratory of Neurological Imaging, Zhengzhou 450003, China

WANG Meiyun* Department of Medical Imaging, the People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou 450003, China; Henan Provincial People's Hospital, Henan Key Laboratory of Neurological Imaging, Zhengzhou 450003, China

*Correspondence to: Wang MY, E-mail: marian9999@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Key Research and Development Program of China No. 2017YFE0103600 National Natural Science Foundation of China No.81720108021
Received  2020-07-13
Accepted  2020-08-04
DOI: 10.12015/issn.1674-8034.2020.12.003
Cite this article as: Zhang MH, Bai Y, Chen HL, et al. The value of apparent diffusion coefficient histogram in distinguishing ependymoma from anaplastic ependymoma. Chin J Magn Reson Imaging, 2020, 11(12): 1092-1096. DOI:10.12015/issn.1674-8034.2020.12.003.

[1]
韩萍，于春水. 医学影像诊断学. 北京: 人民卫生出版社, 2017: 57-58.
[2]
王凯，张姝，施露. 2016年世界卫生组织中枢神经系统肿瘤分类概述. 磁共振成像, 2016, 7(12): 881-896. DOI: 10.12015/issn.1674-8034.2016.12.001.
[3]
Sun S, Wang J, Zhu M, et al. Clinical, radiological, and histological features and treatment outcomes of supratentorial extraventricular ependymoma: 14 cases from a single center. Neurosurg, 2018, 128(5): 1396-1402. DOI: 10.3171/2017.1.JNS161422.
[4]
Metellus P, Figarella-Branger D, Guyotat J, et al. Supratentorial ependymomas: prognostic factors and outcome analysis in a retrospective series of 46 adult patients. Cancer, 2008, 113(1): 175-185. DOI: 10.1002/cncr.23530.
[5]
Byun J, Kim JH, Kim YH, et al. Supratentorial extraventricular ependymoma: Retrospective analysis of 15 patients at a single institution. World Neurosurg, 2018, 118: 1-9. DOI: 10.1016/j.wneu.2018.05.192.
[6]
Poretti A, Meoded A, Huisman TA. Neuroimaging of pediatric posterior fossa tumors including review of the literature. Magn Reson Imaging, 2012, 35(1): 32-47. DOI: 10.1002/jmri.22722.
[7]
Cho SH, Kim GC, Jang YJ. Locally advanced rectal cancer: post-chemoradiotherapy ADC histogram analysis for predicting a complete response. Acta radiologica (Stockholm, Sweden: 1987), 2015, 56(9): 1042-1050. DOI: 10.1177/0284185114550193.
[8]
Lee J, Choi SH, Kim JH, et al. Glioma grading using apparent diffusion coefficient map: application of histogram analysis based on automatic segmentation. NMR Biomed, 2014, 27(9): 1046-52. DOI: 10.1002/nbm.3153.
[9]
Chen C, Ren CP, Zhao RC, et al. Histogram analysis parameters ADC for distinguishing ventricular neoplasms of ependymoma, choroid plexus papilloma, and central neurocytoma. Med Sci Monit, 2019, 25: 5886-5891. DOI: 10.12659/MSM.915398.
[10]
Vajapeyam S, Brown D, Johnston PR, et al. Multiparametric analysis of permeability and ADC histogram metrics for classification of pediatric brain tumors by tumor grade. AJNR Am J Neuroradiol, 2018, 39(3): 552-557. DOI: 10.3174/ajnr.A5502.
[11]
Payabvash S, Tihan T, Cha S. Volumetric voxelwise apparent diffusion coefficient histogram analysis for differentiation of the fourth ventricular tumors. Neuroradiol J, 2018, 31(6): 554-564. DOI: 10.1177/1971400918800803.
[12]
Wang W, Cheng J, Zhang Y, et al. Use of apparent diffusion coefficient histogram in differentiating between medulloblastoma and pilocytic astrocytoma in children. Med Sci Monit, 2018, 24: 6107-6112. DOI: 10.12659/MSM.909136.
[13]
Liu HL, Zong M, Wei H, et al. Differentiation between malignant and benign breast masses: combination of semi-quantitative analysis on DCE-MRI and histogram analysis of ADC maps. Clin Radiol, 2018, 73(5): 460-466. DOI: 10.1016/j.crad.2017.11.026.
[14]
Kang Y, Choi SH, Kim YJ, et al. Gliomas: Histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging-correlation with tumor grade. Radiology, 2011, 261(3): 882-890. DOI: 10.1148/radiol.11110686.
[15]
Yamashita Y, Kumabe T, Higano S. Minimum apparent diffusion coefficient is significantly correlated with cellularity in medulloblastomas. J Neurol Res, 2009, 31(9): 940-946. DOI: 10.1179/174313209X382520.
[16]
Just N. Improving tumour heterogeneity MRI assessment with histograms. Br J Cancer, 2014, 111(12): 2205-2213. DOI: 10.1038/bjc.2014.512.
[17]
何晓顺，王希明，黄山.成人室管膜瘤的临床病理特点和预后分析.临床与实验病理学杂志, 2017, 33(11): 1248-1250. DOI: 10.13315/j.cnki.cjcep.2017.11.016.
[18]
陈利军，陈士新，李维华.脑实质室管膜瘤MRI表现与病理的相关性研究.中国医学影像学杂志, 2012, 20(2): 105-108. DOI: 10.3969/j.issn.1005-5185.2012.02.010.
[19]
Donati OF, Mazaheri Y, Afaq A, et al. Prostate cancer aggressiveness: assessment with whole-lesion histogram analysis of the apparent diffusion coefficient. Radiology, 2014, 271(1): 143-152. DOI: 10.1148/radiol.13130973.
[20]
Tsuchiya N, Doai M, Usuda K, et al. Non-small cell lung cancer: Whole-lesion histogram analysis of the apparent diffusion coefficient for assessment of tumor grade, lymphovascular invasion and pleural invasion. PLoS One, 2017, 12(2): e0172433. DOI: 10.1371/journal.pone.0172433.
[21]
Woo S, Cho JY, Kim SY, et al. Histogram analysis of apparent diffusion coefficient map of diffusion-weighted MRI in endometrial cancer: a preliminary correlation study with histological grade. Acta Radiol, 2014, 55(10): 1270-1277. DOI: 10.1177/0284185113514967.

PREV Interpretation of the new WHO classification of bone tumors (2020)
NEXT Application of 3.0 T MRI 2D-CSI 1H-MRS in children with temporal lobe epilepsy without morphological changes
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn