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Research ArticleAdult Brain
Open Access

Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study

P. Tiwari, P. Prasanna, L. Wolansky, M. Pinho, M. Cohen, A.P. Nayate, A. Gupta, G. Singh, K.J. Hatanpaa, A. Sloan, L. Rogers and A. Madabhushi
American Journal of Neuroradiology December 2016, 37 (12) 2231-2236; DOI: https://doi.org/10.3174/ajnr.A4931
P. Tiwari
aFrom the Department of Biomedical Engineering (P.T., P.P., G.S., A.M.), Case Western Reserve University, Cleveland, Ohio
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  • ORCID record for P. Tiwari
P. Prasanna
aFrom the Department of Biomedical Engineering (P.T., P.P., G.S., A.M.), Case Western Reserve University, Cleveland, Ohio
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L. Wolansky
bUniversity Hospitals Case Medical Center (A.P.N., A.G., L.W., M.C., A.S., L.R.), Cleveland, Ohio
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M. Pinho
cUniversity of Texas Southwestern Medical Center (M.P., K.J.H.), Dallas, Texas.
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M. Cohen
bUniversity Hospitals Case Medical Center (A.P.N., A.G., L.W., M.C., A.S., L.R.), Cleveland, Ohio
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A.P. Nayate
bUniversity Hospitals Case Medical Center (A.P.N., A.G., L.W., M.C., A.S., L.R.), Cleveland, Ohio
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A. Gupta
bUniversity Hospitals Case Medical Center (A.P.N., A.G., L.W., M.C., A.S., L.R.), Cleveland, Ohio
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G. Singh
aFrom the Department of Biomedical Engineering (P.T., P.P., G.S., A.M.), Case Western Reserve University, Cleveland, Ohio
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K.J. Hatanpaa
cUniversity of Texas Southwestern Medical Center (M.P., K.J.H.), Dallas, Texas.
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A. Sloan
bUniversity Hospitals Case Medical Center (A.P.N., A.G., L.W., M.C., A.S., L.R.), Cleveland, Ohio
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L. Rogers
bUniversity Hospitals Case Medical Center (A.P.N., A.G., L.W., M.C., A.S., L.R.), Cleveland, Ohio
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A. Madabhushi
aFrom the Department of Biomedical Engineering (P.T., P.P., G.S., A.M.), Case Western Reserve University, Cleveland, Ohio
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References

  1. 1.↵
    1. Verma N,
    2. Cowperthwaite MC,
    3. Burnett MG, et al
    . Differentiating tumor recurrence from treatment necrosis: a review of neuro-oncologic imaging strategies. Neuro Oncol 2013;15:515–34 doi:10.1093/neuonc/nos307 pmid:23325863
    Abstract/FREE Full Text
  2. 2.↵
    1. Chan YL,
    2. Leung SF,
    3. King AD, et al
    . Late radiation injury to the temporal lobes: morphologic evaluation at MR imaging. Radiology 1999;213:800–07 pmid:10580956
    CrossRefPubMedWeb of Science
  3. 3.↵
    1. Kumar AJ,
    2. Leeds NE,
    3. Fuller GN, et al
    . Malignant gliomas: MR imaging spectrum of radiation therapy- and chemotherapy-induced necrosis of the brain after treatment. Radiology 2000: 217:377–84 doi:10.1148/radiology.217.2.r00nv36377 pmid:11058631
    CrossRefPubMedWeb of Science
  4. 4.↵
    1. Mullins ME,
    2. Barest GD,
    3. Schaefer PW, et al
    . Radiation necrosis versus glioma recurrence: conventional MR imaging clues to diagnosis. AJNR Am J Neuroradiol 2005;26:1967–72 pmid:16155144
    Abstract/FREE Full Text
  5. 5.↵
    1. Raimbault A,
    2. Cazals X,
    3. Lauvin MA, et al
    . Radionecrosis of malignant glioma and cerebral metastasis: a diagnostic challenge in MRI. Diagn Interv Imaging 2014;95:985–1000 doi:10.1016/j.diii.2014.06.013 pmid:25001364
    CrossRefPubMed
  6. 6.↵
    1. Pope WB,
    2. Kim HJ,
    3. Huo J, et al
    . Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment. Radiology 2009;252:182–89 doi:10.1148/radiol.2521081534 pmid:19561256
    CrossRefPubMedWeb of Science
  7. 7.↵
    1. Catalaa I,
    2. Henry R,
    3. Dillon WP, et al
    . Perfusion, diffusion and spectroscopy values in newly diagnosed cerebral gliomas. NMR Biomed 2006;19:463–75 pmid:16763973
    CrossRefPubMedWeb of Science
  8. 8.↵
    1. Prasanna P,
    2. Tiwari P,
    3. Madabhushi A
    . Co-occurrence of local anisotropic gradient orientations (CoLIAGe): distinguishing tumor confounders and molecular subtypes on MRI. Med Image Comput Comput Assist Interv 2014;17(Pt 3):73–80 doi:10.1007/978-3-319-10443-0_10 pmid:25320784
    CrossRefPubMed
  9. 9.↵
    1. Yang D,
    2. Rao G,
    3. Martinez J, et al
    . Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma. Med Phys 2015;42:6725–35 doi:10.1118/1.4934373 pmid:26520762
    CrossRefPubMed
  10. 10.↵
    1. Porz N,
    2. Bauer S,
    3. Pica A, et al
    . Multi-modal glioblastoma segmentation: man versus machine. PLoS One 2014;9:e96873 doi:10.1371/journal.pone.0096873 pmid:24804720
    CrossRefPubMed
  11. 11.↵
    1. Peng H,
    2. Long F,
    3. Ding C
    . Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 2005;27:1226–38 doi:10.1109/TPAMI.2005.159 pmid:16119262
    CrossRefPubMedWeb of Science
  12. 12.↵
    1. Tan M,
    2. Pu J,
    3. B. Zheng B
    . Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. Int J Comput Assist Radiol Surg 2014;9:1005–20 doi:10.1007/s11548-014-0992-1 pmid:24664267
    CrossRefPubMed
  13. 13.↵
    1. Mundra PA,
    2. Rajapakse JC
    . SVM-RFE with MRMR filter for gene selection. IEEE Trans Nanobioscience 2010;9:31–37 doi:10.1109/TNB.2009.2035284 pmid:19884101
    CrossRefPubMed
  14. 14.↵
    1. Larroza A,
    2. Moratal D,
    3. Paredes-Sánchez A, et al
    . Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI. J Magn Reson Imaging 2015;42:1362–68 doi:10.1002/jmri.24913 pmid:25865833
    CrossRefPubMed
  15. 15.↵
    1. Reddy K,
    2. Westerly D,
    3. Chen C
    . MRI patterns of T1 enhancing radiation necrosis versus tumour recurrence in high-grade gliomas. J Med Imaging Radiat Oncol 2013;57:349–55 doi:10.1111/j.1754-9485.2012.02472.x pmid:23721146
    CrossRefPubMed
  16. 16.↵
    1. Husstedt HW,
    2. Sickert M,
    3. Köstler H, et al
    . Diagnostic value of the fast-FLAIR sequence in MR imaging of intracranial tumors. Eur Radiol 2009;10:745–52 pmid:10823626
    PubMed
  17. 17.↵
    1. Silbergeld DL,
    2. Chicoine MR
    . Isolation and characterization of human malignant glioma cells from histologically normal brain. J Neurosurg 1997;86:525–31 pmid:9046311
    CrossRefPubMedWeb of Science
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American Journal of Neuroradiology: 37 (12)
American Journal of Neuroradiology
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P. Tiwari, P. Prasanna, L. Wolansky, M. Pinho, M. Cohen, A.P. Nayate, A. Gupta, G. Singh, K.J. Hatanpaa, A. Sloan, L. Rogers, A. Madabhushi
Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study
American Journal of Neuroradiology Dec 2016, 37 (12) 2231-2236; DOI: 10.3174/ajnr.A4931

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Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study
P. Tiwari, P. Prasanna, L. Wolansky, M. Pinho, M. Cohen, A.P. Nayate, A. Gupta, G. Singh, K.J. Hatanpaa, A. Sloan, L. Rogers, A. Madabhushi
American Journal of Neuroradiology Dec 2016, 37 (12) 2231-2236; DOI: 10.3174/ajnr.A4931
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