MR textural analysis on T2 FLAIR images for the prediction of true oligodendroglioma by the 2016 WHO genetic classification

被引:14
|
作者
Rui, Wenting [1 ]
Ren, Yan [1 ]
Wang, Yin [2 ]
Gao, Xinyi [1 ]
Xu, Xiao [3 ]
Yao, Zhenwei [1 ]
机构
[1] Fudan Univ, Huashan Hosp, Dept Radiol, Mid Wulumuqi Rd, Shanghai 200040, Peoples R China
[2] Fudan Univ, Huashan Hosp, Dept Neuropathol, Shanghai, Peoples R China
[3] GE Healthcare Life Sci, GE Chinese Sci & Technol Pk, Shanghai, Peoples R China
关键词
oligodendroglioma; magnetic resonance textural analysis; T-2; FLAIR; 1p; 19q; IDH-mutant; GRADE II; 1P/19Q CODELETION; DIFFUSION; FEATURES; TUMORS; HETEROZYGOSITY; METHYLATION; SIGNATURES; PERFUSION;
D O I
10.1002/jmri.25896
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
BackgroundThe genetic status of 1p/19q is important for differentiating oligodendroglioma, isocitrate-dehydrogenase (IDH)-mutant, and 1p/19q-codeleted from diffuse astrocytoma, IDH-mutant according to the 2016 World Health Organization (WHO) criteria. PurposeTo assess the value of magnetic resonance textural analysis (MRTA) on T-2 fluid-attenuated inversion recovery (FLAIR) images for making a genetically integrated diagnosis of true oligodendroglioma by WHO guidelines. Study TypeRetrospective case control. SubjectsIn all, there were 54 patients with a histopathological diagnosis of diffuse glioma (grade II). All were tested for IDH and 1p/19q. Field Strength/Sequence3.0T, including T-2 FLAIR sequence, axial T-1-weighted, and T-2-weighted sequence. AssessmentMRTA on a representative tumor region of interest (ROI) was made on preoperative T-2 FLAIR images around the area that had the largest diameter of solid tumor using Omni Kinetics software. Statistical TestsDifferences between IDH-mutant and 1p/19q-codeleted and IDH-mutant and 1p/19q-intact gliomas were analyzed by the Mann-Whitney rank sum test. Receiver operating characteristic curves (ROC) were created to assess MRTA diagnostic performance. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated with a cutoff value according to the Youden Index. ResultsComparisons demonstrated significant differences in kurtosis (P=0.007), energy (0.008), entropy (0.008), mean deviation (MD) (<0.001), and high gray-level run emphasis (HGLRE) (0.002), cluster shade (0.025), and sum average (0.002). First-order features comprising entropy (area under the curve [AUC]=0.718, sensitivity=97.1%) and energy (0.719, 94.1%) had the highest sensitivity but lower specificity (both 45%). Second-order features such as HGLRE (AUC=0.750, sensitivity=73.5%, specificity=80.0%) and sum average (0.751, 70.6%, 80.0%) had relatively higher specificity, and all had AUC >0.7. MD had the highest diagnostic performance, with AUC=0.878, sensitivity=94.1%, specificity=75.0%, PPV=86.5%, and NPV=88.2%. Data ConclusionMRTA on T-2 FLAIR images may be helpful in identifying oligodendroglioma, IDH-mutant, and 1p/19q-codeleted. Level of Evidence: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017.
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页码:74 / 83
页数:10
相关论文
共 15 条
  • [1] Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images
    Dvorak, Pavel
    Bartusek, Karel
    Smekal, Zdenek
    [J]. MEASUREMENT SCIENCE REVIEW, 2014, 14 (06): : 357 - 364
  • [2] Pre-treatment prediction of response to radiation therapy using complexity analysis of T2 MR images
    Zach, Lior
    Ocherashvilli, Aharon
    Daniels, Dianne
    Roth, Yiftach
    Pfeffer, Raphael
    Spiegelmann, Roberto
    Dinstein, Doron
    Gordon, Goren
    Mardor, Yael
    [J]. NEURO-ONCOLOGY, 2006, 8 (04) : 499 - 499
  • [3] Dynamic susceptibility contrast and diffusion MR imaging identify oligodendroglioma as defined by the 2016 WHO classification for brain tumors: histogram analysis approach
    Anna Latysheva
    Kyrre Eeg Emblem
    Petter Brandal
    Einar Osland Vik-Mo
    Jens Pahnke
    Kjetil Røysland
    John K. Hald
    Andrés Server
    [J]. Neuroradiology, 2019, 61 : 545 - 555
  • [4] Dynamic susceptibility contrast and diffusion MR imaging identify oligodendroglioma as defined by the 2016 WHO classification for brain tumors: histogram analysis approach
    Latysheva, Anna
    Emblem, Kyrre Eeg
    Brandal, Petter
    Vik-Mo, Einar Osland
    Pahnke, Jens
    Roysland, Kjetil
    Hald, John K.
    Server, Andres
    [J]. NEURORADIOLOGY, 2019, 61 (05) : 545 - 555
  • [5] T2 RESTORATION AND NOISE SUPPRESSION OF HYBRID MR-IMAGES USING WIENER AND LINEAR PREDICTION TECHNIQUES
    CHEN, HG
    AVRAM, H
    KAUFMAN, L
    HALE, J
    KRAMER, D
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 1994, 13 (04) : 667 - 676
  • [6] An improved tumor segmentation algorithm from T2 and FLAIR multimodality MRI brain images by support vector machine and genetic algorithm
    Sukumaran, Aswathy
    Glan, Devadhas G.
    Kumar, S. S.
    [J]. COGENT ENGINEERING, 2018, 5 (01): : 1 - 18
  • [7] Preliminary Analysis of Morphological Features From T1 and T2 MR Images in the Diagnosis of Breast Cancer
    Hipp, E.
    Bhooshan, N.
    Giger, M. L.
    Arkani, S.
    Li, H.
    Newstead, G.
    [J]. MEDICAL PHYSICS, 2008, 35 (06)
  • [8] Texture analysis of ultrahigh field T2*-weighted MR images of the brain: Application to Huntington's disease
    Nhat Trung Doan
    van den Bogaard, Simon J. A.
    Dumas, Eve M.
    Webb, Andrew G.
    van Buchem, Mark A.
    Roos, Raymund A. C.
    van der Grond, Jeroen
    Reiber, Johan H. C.
    Milles, Julien
    [J]. JOURNAL OF MAGNETIC RESONANCE IMAGING, 2014, 39 (03) : 633 - 640
  • [9] Heavily T2 weighted MR images of anterior optic pathways in patients with sellar and parasellar tumours - Prediction of surgical anatomy
    Saeki, N
    Murai, H
    Kubota, M
    Fujimoto, N
    Iuchi, T
    Yamaura, A
    Sunami, K
    [J]. ACTA NEUROCHIRURGICA, 2002, 144 (01) : 25 - 35
  • [10] Heavily T2 Weighted MR Images of Anterior Optic Pathways in Patients with Sellar and Parasellar Tumours – Prediction of Surgical Anatomy
    N. Saeki
    H. Murai
    M. Kubota
    N. Fujimoto
    T. Iuchi
    A. Yamaura
    K. Sunami
    [J]. Acta Neurochirurgica, 2002, 144 : 25 - 35