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2019, vol. 76, br. 4, str. 385-391
Primena lokalnih histograma prividnog difuzionog koeficijenta u diferencijaciji astrocitoma mozga
aKlinički centar Srbije, Beograd
bKlinički centar Srbije, Klinika za neurohirurgiju, Beograd
cKlinički centar Srbije, Centar za radiologiju i magnetnu rezonancu, Beograd
dUniverzitet u Beogradu, Fakultet za fizičku hemiju

e-adresamarko@ffh.bg.ac.rs
Projekat:
Biomarkeri u neurodegenerativnim i malignim procesima (MPNTR - 41005)

Ključne reči: astrocitom; neoplazme, odredjivanje stadijuma; histologija; magnetna rezonanca, difuziona
Sažetak
Uvod/Cilj. Razlikovanje atrocitoma mozga zasnovano na analizi mapa difuzijski naglašenog snimanja (DWI) predsta-vlja težak zadatak, što je posledica mikrostrukturne hetero-genosti ovih entiteta. U ovoj studiji primenjena je histo-gramska analiza mapa prividnog difuzionog koeficijenta (ADC) da bi se lokalizovali regioni (ROI) koji odgovaraju maksimalnoj celularnosti tumora. Testirana je mogućnost korišćenja parametara dobijenih iz tih regiona [ADC, stan-dardna devijacija ADC (ΔADC) i kurtozis (K)] za razkova-nje različitih gradusa astrocitoma. Metode. U retrospektiv-nu studiju bio je uključen 31 bolesnik (16 žena i 15 muška-raca, prosečna starost 37 godina; raspon 6-72 godina) sa su-spektnim supratentorijalnim astrocitomima. Pregledi mag-netno rezoanantnim snimanjem (MRI) urađeni su na ure-đaju jačine magnetnog polja 1,5 T (Avanto; Siemens, Erlan-gen, Nemačka). Korišćena je 8-kanalna zavojnica za glavu. DWI snimci dobijeni su u tri međusobno normalna pravca i tri vrednosti difuzijske ostetljivosti b (0, 500 and 1000 s mm -2). Histogramska analiza i određivanje difizionih parametara izvršeno je korišćenjem MIPAV sofvera. Statistička analiza urađena je u Openstat programskom paketu. Rezultati. Ustanovljena je statistički značajna razlika između ADC vrednosti za difuzne astrocitome (DA) i visokogradusne astrocitome (HGA), ali ne i između HGA podklasa. Stati-stički značajne razlike nađene su i između ΔADC vrednosti za anaplastične astrocitome (AA) i glioblastome mulitforme (GBM) za 100% osetljivošću i 89% specifičnosti. K parame-tar takođe može poslužiti u razlikovanju AA i GBM ali sa manjom osetljivošću i specifičnošću. Zaključak. Histo-gramska analiza regiona tumora na ADC mapama može poslužiti kao vodič za pravilno pozicioniranje ROI. Parametri koji karakterišu difuziju na tako definisanim ROI, pojedinačno i kombinovano, mogu pomoći u diferencijaciji astrocitoma mozga.
Reference
Arvinda, H.R., Kesavadas, C., Sarma, P.S., Thomas, B., Radhakrishnan, V.V., Gupta, A.K., Kapilamoorthy, T.R., Nair, S. (2009) Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging. Journal of Neuro-Oncology, 94(1): 87-96
Beppu, T., Inoue, T., Shibata, Y., Kurose, A., Arai, H., Ogasawara, K. (2003) Measurement of fractional anisotropy using diffusion tensor MRI in supratentorial astrocytic tumors. J Neurooncol, 63(2): 10916
Bosma, G.T., Huizinga, T.W., Mooijaart, S.P., van Buchem, M.A. (2003) Abnormal brain diffusivity in patients with neuropsychiatric systemic lupus erythematosus. AJNR Am J Neuroradiol, 24(5): 8504-8504
Bulakbasi, N., Guvenc, I., Onguru, O., Erdogan, E., Tayfun, C., Ucoz, T. (2004) The Added Value of the Apparent Diffusion Coefficient Calculation to Magnetic Resonance Imaging in the Differentiation and Grading of Malignant Brain Tumors. Journal of Computer Assisted Tomography, 28(6): 735-746
Calvar, J.A., Meli, F.J., Romero, C., Yánez, M.L. C.P., Martinez, A.R., Lambre, H., Taratuto, A.L., Sevlever, G. (2005) Characterization of brain tumors by MRS, DWI and Ki-67 labeling index. Journal of Neuro-Oncology, 72(3): 273-280
Catalaa, I., Henry, R., Dillon, W.P., Graves, E.E., McKnight, T.R., Lu, Y., Vigneron, D.B., Nelson, S.J. (2006) Perfusion, diffusion and spectroscopy values in newly diagnosed cerebral gliomas. NMR in Biomedicine, 19(4): 463-475
Chenevert, T.L., Sundgren, P.C., Ross, B.D. (2006) Diffusion Imaging: Insight to Cell Status and Cytoarchitecture. Neuroimaging Clinics of North America, 16(4): 619-632
Fan, G., Zang, P., Jing, F., Wu, Z., Guo, Q. (2005) Usefulness of diffusion/perfusion-weighted MRI in rat gliomas: Correlation with histopathology. Acad Radiol, 12(5): 64051-64051
Fan, G.G., Deng, Q.L., Wu, Z.H., Guo, Q.Y. (2006) Usefulness of diffusion/perfusion-weighted MRI in patients with non-enhancing supratentorial brain gliomas: a valuable tool to predict tumour grading?. British Journal of Radiology, 79(944): 652-658
Ferda, J., Kastner, J., Mukenšnabl, P., Choc, M., Horemužová, J., Ferdová, E., Kreuzberg, B. (2010) Diffusion tensor magnetic resonance imaging of glial brain tumors. European Journal of Radiology, 74(3): 428-436
Field, A.S., Alexander, A.L., Wu, Y., Hasan, K.M., Witwer, B., Badie, B. (2004) Diffusion tensor eigenvector directional color imaging patterns in the evaluation of cerebral white matter tracts altered by tumor. Journal of Magnetic Resonance Imaging, 20(4): 555-562
Ginsberg, L.E., Fuller, G.N., Hashmi, M., Leeds, N.E., Schomer, D.F. (1998) The Significance of Lack of MR Contrast Enhancement of Supratentorial Brain Tumors in Adults: Histopathological Evaluation of a Series. Surgical Neurology, 49(4): 436-440
Hayashida, Y., Hirai, T., Morishita, S., Kitajima, M., Murakami, R., Korogi, Y. (2006) Diffusion-weighted imaging of metastatic brain tumors: Comparison with histologic type and tumor cellularity. AJNR Am J Neuroradiol, 27(7): 141925-141925
Hayat, M.A. (2011) Tumors of the Central Nervous System: Astrocytomas, Hemangioblastomas, and Gangliogliomas. Dordrecht: Springer Netherlands, Volume 5. 1st ed
Higano, S., Yun, X., Kumabe, T., Watanabe, M., Mugikura, S., Umetsu, A., Sato, A., Yamada, T., Takahashi, S. (2006) Malignant Astrocytic Tumors: Clinical Importance of Apparent Diffusion Coefficient in Prediction of Grade and Prognosis. Radiology, 241(3): 839-846
Hui, E.S., Cheung, M.M., Qi, L., Wu, E.X. (2008) Advanced MR diffusion characterization of neural tissue using directional diffusion kurtosis analysis. u: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, 39414
Inoue, T., Ogasawara, K., Beppu, T., Ogawa, A., Kabasawa, H. (2005) Diffusion tensor imaging for preoperative evaluation of tumor grade in gliomas. Clinical Neurology and Neurosurgery, 107(3): 174-180
Jensen, J.H., Falangola, M.F., Hu, C., Tabesh, A., Rapalino, O., Lo, C., Helpern, J.A. (2011) Preliminary observations of increased diffusional kurtosis in human brain following recent cerebral infarction. NMR in Biomedicine, 24(5): 452-457
Jensen, J.H., Helpern, J.A., Ramani, A., Lu, H., Kaczynski, K. (2005) Diffusional kurtosis imaging: The quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magnetic Resonance in Medicine, 53(6): 1432-1440
Johansen-Berg, H., Behrens, T.E. (2009) Diffusion MRI: From quantitative measurement to in-vivo neuroanatomy. San Diego: Academic Press
Kang, Y., Choi, S.H., Kim, Y., Kim, K.G., Sohn, C., Kim, J., Yun, T.J., Chang, K. (2011) Gliomas: Histogram Analysis of Apparent Diffusion Coefficient Maps with Standard- or High-b-Value Diffusion-weighted MR Imaging: Correlation with Tumor Grade. Radiology, 261(3): 882-890
Kitis, O., Altay, H., Calli, C., Yunten, N., Akalin, T., Yurtseven, T. (2005) Minimum apparent diffusion coefficients in the evaluation of brain tumors. European Journal of Radiology, 55(3): 393-400
Kono, K., Inoue, Y., Nakayama, K., Shakudo, M., Morino, M., Ohata, K. (2001) The role of diffusion-weighted imaging in patients with brain tumors. AJNR Am J Neuroradiol, 22(6): 10818
Lam, W.W. M., Poon, W.S., Metreweli, C. (2002) Diffusion MR Imaging in Glioma: Does It Have Any Role in the Pre-operation Determination of Grading of Glioma?. Clinical Radiology, 57(3): 219-225
le Bihan, D. (1991) Molecular diffusion nuclear magnetic resonance imaging. Magn Reson Q, 7(1): 130
Lüdemann, L., Grieger, W., Wurm, R., Budzisch, M., Hamm, B., Zimmer, C. (2001) Comparison of dynamic contrast-enhanced MRI with WHO tumor grading for gliomas. European Radiology, 11(7): 1231-1241
McAuliffe, M.J., Lalonde, F.M., McGarry, D., Gandler, W., Csaky, K., Trus, B.L. (2011) Medical Image Processing, Analysis and Visualization in clinical research. u: Proceedings 14th IEEE Symposium on Computer-Based Medical Systems. CBMS 2001, IEEE Comput. Soc, 381-387
Miller, W. (2013) Open Stat Reference Manual. New York: Springer
Moritani, T., Ekholm, S., Westesson, P.L. (2005) Diffusion weighted imaging of the brain. Berlin: Springer-Verlag
Murakami, R., Hirai, T., Sugahara, T., Fukuoka, H., Toya, R., Nishimura, S., Kitajima, M., Okuda, T., Nakamura, H., Oya, N., Kuratsu, J., Yamashita, Y. (2009) Grading Astrocytic Tumors by Using Apparent Diffusion Coefficient Parameters: Superiority of a One- versus Two-Parameter Pilot Method. Radiology, 251(3): 838-845
Raab, P., Hattingen, E., Franz, K., Zanella, F.E., Lanfermann, H. (2010) Cerebral Gliomas: Diffusional Kurtosis Imaging Analysis of Microstructural Differences. Radiology, 254(3): 876-881
Reardon, D.A., Wen, P.Y. (2006) Therapeutic Advances in the Treatment of Glioblastoma: Rationale and Potential Role of Targeted Agents. Oncologist, 11(2): 152-164
Roberts, H.C., Roberts, T.P., Brasch, R.C., Dillon, W.P. (2000) Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: Correlation with histologic grade. AJNR Am J Neuroradiol, 21(5): 8919
Sugahara, T., Korogi, Y., Kochi, M., Ikushima, I., Shigematu, Y., Hirai, T., Okuda, T., Liang, L., Ge, Y., Komohara, Y., Ushio, Y., Takahashi, M. (1999) Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. Journal of Magnetic Resonance Imaging, 9(1): 53-60
Tozer, D.J., Jäger, H., Danchaivijitr, N., Benton, C.E., Tofts, P.S., Rees, J.H., Waldman, A.D. (2007) Apparent diffusion coefficient histograms may predict low-grade glioma subtype. NMR in Biomedicine, 20(1): 49-57
Tsuchiya, K., Fujikawa, A., Nakajima, M., Honya, K. (2005) Differentiation between solitary brain metastasis and high-grade glioma by diffusion tensor imaging. British Journal of Radiology, 78(930): 533-537
Yamasaki, F., Kurisu, K., Satoh, K., Arita, K., Sugiyama, K., Ohtaki, M., Takaba, J., Tominaga, A., Hanaya, R., Yoshioka, H., Hama, S., Ito, Y., Kajiwara, Y., Yahara, K., Saito, T., Thohar, M.A. (2005) Apparent Diffusion Coefficient of Human Brain Tumors at MR Imaging. Radiology, 235(3): 985-991
Yang, D., Korogi, Y., Sugahara, T., Kitajima, M., Shigematsu, Y., Liang, L., Ushio, Y., Takahashi, M. (2002) Cerebral gliomas: prospective comparison of multivoxel 2D chemical-shift imaging proton MR spectroscopy, echoplanar perfusion and diffusion-weighted MRI. Neuroradiology, 44(8): 656-666
 

O članku

jezik rada: engleski
vrsta rada: originalan članak
DOI: 10.2298/VSP161215103M
objavljen u SCIndeksu: 12.05.2019.
metod recenzije: dvostruko anoniman
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