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Gliom Evrelemesinde Patolojik İndekslerin (Ki-67, p53) ve Perfüzyon/Difüzyon MR Parametrelerinin Karşılaştırılması

Year 2018, , 11 - 15, 03.08.2018
https://doi.org/10.18678/dtfd.454072

Abstract

Amaç: Bu çalışmada amacımız, derece II astrositom ve glioblastomların (GBM) difüzyon karakteristiklerini belirlemek ve görünür difüzyon katsayısı (ADC), rölatif serebral kan hacmi (rCBV), Ki-67 ve p53 değerlerinin bu tümörlerin preoperatif sınıflanmasındaki yeterliklerini belirlemektir.

Gereç ve Yöntemler: 2014 ve 2017 yılları arasında derece II diffüz astrositom veya GBM nedeniyle hastanemizde ameliyat edilen 24 hastanın MRG bulguları retrospektif olarak incelendi. ADC ve rCBV değerleri tümörün içinden ve simetrik kontralateral normal beyaz hemisferden ölçüldü. Patoloji raporlarından Ki-67 ve p53 değerleri kaydedildi. Perfüzyon ağırlıklı görüntüleme, difüzyon ağırlıklı görüntüleme, Ki-67 ve p53 değerleri düşük dereceli ve yüksek dereceli astrositomlar arasındaki farklar açısından analiz edildi.

Bulgular: Derece II astrositomlarda, ADC değerleri kontralateral normal hemisfer ile karşılaştırıldığında önemli ölçüde artmış, GBM'lerde ise hafif artmıştır. Yüksek ve düşük dereceli astrositomları ayırt etmek için eşik değerin 2 olarak kabul edildiği rCBV'nin başarısı istatistiksel olarak anlamlıdır ve %100 doğrudur. GBM'lerde min ADC değeri azaldıkça, p53 skoru artmıştır. Benzer şekilde, p53 skoru, kontralateral normal beyaz ak maddede minimum ADC ve GBM'nin ortalama ADC değerleri azaldıkça artmıştır.

Sonuç: Glioblastomları, derece II astrositomlardan ayırt etmek için rCBV değerini 2 kullanmak, dereceyi belirlemek için ADC değerlerine dayanmaktan daha üstündür. GBM'li hastalarda kontralateral hemisferin normal ak maddesindeki ADC değerlerinde görülen düşüş, yaygın bir neoplastik süreç düşüncesini desteklemektedir.

References

  • Referans1 Brasil Caseiras G, Ciccarelli O, Altmann DR, Benton CE, Tozer DJ, Tofts PS, et al. Low-grade gliomas: six-month tumor growth predicts patient outcome better than admission tumor volume, relative cerebral blood volume, and apparent diffusion coefficient. Radiology 2009; 253(2): 505–12.
  • Referans2 Tozer DJ, Jäger HR, Danchaivijitr N, Benton CE, Tofts PS, Rees JH, et al. Apparent diffusion coefficient histograms may predict low-grade glioma subtype. NMR Biomed 2006;20(1):49-57.
  • Referans3 Fudaba H, Shimomura T, Abe T, Matsuta H, Momii Y, Sugita K, et al. Comparison of multiple parameters obtained on 3T pulsed arterial spin-labeling, diffusion tensor imaging, and MRS and the Ki-67 labeling index in evaluating glioma grading. AJNR Am J Neuroradiol 2014;35(11):2091-8.
  • Referans4 Johannessen AL, Torp SH. The clinical value of Ki-67/MIB-1 labeling index in human astrocytomas. Pathol Oncol Res 2006;12(3):143–7.
  • Referans5 Torp SH. Diagnostic and prognostic role of Ki-67 immunostaining in human astrocytomas using four different antibodies. Clin Neuropathol 2002;21(6):252–7.
  • Referans6 Bouvier-Labit C, Chinot O, Ochi C, Gambarelli D, Dufour H, Figarella-Branger D. Prognostic significance of Ki-67, p53 and epidermal growth factor receptor immunostaining in human glioblastomas. Neuropathol Appl Neurobiol 1998;24(5):381-8.
  • Referans7 Yoshioka H, Hama S, Ito Y, Kajiwara Y, Yahara K, Saito T, et al. Apparent diffusion coefficient of human brain tumors at MR imaging. Radiology 2005;235(3):985–91.
  • Referans 8 Sugahara T, Korogi Y, Kochi M, Ikushima I, Shigematu Y, Hirai T, et al. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging 1999;9(1):53–60.
  • Referans 9 Rollin N, Guyotat J, Streichenberger N, Honnorat J, Tran Minh VA, Cotton F. Clinical relevance of diffusion and perfusion magnetic imaging in assessing intra-axial brain tumors. Neuroradiology 2006;48(3):150–9.
  • Referans10 Kao HW, Chiang SW, Chung HW, Tsai FY, Chen CY. Advanced MR Imaging of Gliomas: An Update. Biomed Res Int 2013;2013:970586.
  • Referans11 Kim HS, Kim SY. A prospective study on the added value of pulsed arterial spin-labeling and apparent diffusion doefficients in the grading of gliomas. AJNR Am J Neuroradiol 2007;28(9):1693-9.
  • Referans12 Hilario A, Ramos A, Perez-Nuñez A, Salvador E, Millan JM, Lagares A, et al. The added value of apparent diffusion coefficient to cerebral blood volume in the preoperative grading of diffuse gliomas. AJNR Am J Neuroradiol 2012;33(4):701-7.
  • Referans13 Aronen HJ, Gazit IE, Louis DN, Buchbinder BR, Pardo FS, Weisskoff RM, et al. Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. Radiology 1994;191(1):41-51.
  • Referans14 Hakyemez B, Erdogan C, Ercan I, Ergin N, Uysal S, Atahan S. High-grade and low-grade gliomas: differentiation by using perfusion MR imaging. Clin Radiol 2005;60(4):493-502.
  • Referans15 Knopp EA, Cha S, Johnson G, Mazumdar A, Golfinos JG, Zagzag D, et al. Glial neoplasms: dynamic contrast-enhanced T2*-weighted MR imaging. Radiology 1999;211(3):791-8.
  • Referans16 Shahmohammadi M, Fazeli AM, Janamiri Z, Gorji RA. Correlation of ADC Map with the Ki-67 Index in Glial Tumor Prognosis in Patients of Stereotaxic Ward ICNSJ 2017;4(1):18-24.
  • Referans17 Khalid H, Shibata S, Kishikawa M, Yasunaga A, Iseki M, Hiura T. Immunohistochemical analysis of progesterone receptor and Ki-67 labeling index in astrocytic tumors. Cancer 1997;80(11):2133–40.
  • Referans18 Yang L, Shi Z, Liu Z, Zhang J, Bi L, Han X, et al. MinADC values predict prognosis in patients with low-grade and high-grade gliomas by 3.0-T MRI. Int J Clin Exp Med 2016;9(11):21490-7.
  • Referans19 Rasheed BK, McLendon RE, Herndon JE, Friedman HS, Friedman AH, Bigner DD, et al. Alterations of the TP 53 gene in human gliomas. Cancer Res 1994;54(5):1324-30.
  • Referans20 Haapasalo H, Isola J, Sallinen P, Kalimo H, Helin H, Rantala I. Aberrant p53 expression in astrocytic neoplasms of the brain: association with proliferation. Am J Pathol 1993;142(5):1347-51.
  • Referans21 Ellison DW, Gatter KC, Steart PV, Lane DP, Weller RO. Expression of the p53 protein in a spectrum of astrocytic tumours. J Pathol 1992;168(4):383-6.
  • Referans22 Karamitopoulou E, Perentes E, Diamantis I. p53 protein expression in central nervous system tumors: an immunohistochemical study with CM1 polyvalent and DO-7 monoclonal antibodies. Acta Neuropathol 1993;85(6):611–6.
  • Referans 23 Barbareschi M, Iuzzolino P, Pennella A, Allegranza A, Arrigoni G, Dalla Palma P, et al. p53 protein expression in central nervous system neoplasms. J Clin Pathol 1992;45(7):583-6.
  • Referans24 Bruner JM, Saya H, Moser RP. Immunocytochemical detection of p53 in human gliomas. Mod Pathol 1991;4(5):671-4.

Comparison of Pathological Indexes (Ki-67, p53), and Perfusion/Diffusion MR Parameters in Glioma Staging

Year 2018, , 11 - 15, 03.08.2018
https://doi.org/10.18678/dtfd.454072

Abstract

Aim: In this study, we aim to determine the diffusion characteristics of grade II astrocytomas and glioblastomas (GBM), and to determine the ability of apparent diffusion coefficient (ADC), relative cerebral blood volume (rCBV), Ki-67, and p53 values for the preoperative stratification of these tumors.

Material and Methods: MRI scans of 24 patients who underwent surgery for brain tumors in our hospital between 2014 and 2017 with grade II diffuse astrocytoma or GBM were retrospectively reviewed. The ADC and rCBV values were measured from inside the tumor and from the normal white matter of symmetric contralateral hemisphere. Ki-67 and p53 values were recorded from the pathology reports. Perfusion weighted imaging, diffusion weighted imaging, Ki-67, and p53 values were analyzed for differences between low-grade and high-grade astrocytomas.

Results: In grade II astrocytomas, the ADC values significantly increased compared to contralateral normal hemisphere, while in GBMs they were slightly increased. The success of rCBV using a value of 2 in distinguishing high- and low-grade astrocytomas was statistically significant and 100% accurate. As the min ADC value declined in GBMs the p53 score increased. Similarly, the p53 score increased as the min ADC and the average ADC values of GBM in the contralateral normal white matter (WM) declined.

Conclusion: Utilizing an rCBV value of 2 to distinguish grade II from grade IV astrocytomas is superior to relying on ADC values to predict grade. The decline in the ADC values of GBM in the normal WM of contralateral hemisphere corroborates the notion of a diffuse neoplastic process.

References

  • Referans1 Brasil Caseiras G, Ciccarelli O, Altmann DR, Benton CE, Tozer DJ, Tofts PS, et al. Low-grade gliomas: six-month tumor growth predicts patient outcome better than admission tumor volume, relative cerebral blood volume, and apparent diffusion coefficient. Radiology 2009; 253(2): 505–12.
  • Referans2 Tozer DJ, Jäger HR, Danchaivijitr N, Benton CE, Tofts PS, Rees JH, et al. Apparent diffusion coefficient histograms may predict low-grade glioma subtype. NMR Biomed 2006;20(1):49-57.
  • Referans3 Fudaba H, Shimomura T, Abe T, Matsuta H, Momii Y, Sugita K, et al. Comparison of multiple parameters obtained on 3T pulsed arterial spin-labeling, diffusion tensor imaging, and MRS and the Ki-67 labeling index in evaluating glioma grading. AJNR Am J Neuroradiol 2014;35(11):2091-8.
  • Referans4 Johannessen AL, Torp SH. The clinical value of Ki-67/MIB-1 labeling index in human astrocytomas. Pathol Oncol Res 2006;12(3):143–7.
  • Referans5 Torp SH. Diagnostic and prognostic role of Ki-67 immunostaining in human astrocytomas using four different antibodies. Clin Neuropathol 2002;21(6):252–7.
  • Referans6 Bouvier-Labit C, Chinot O, Ochi C, Gambarelli D, Dufour H, Figarella-Branger D. Prognostic significance of Ki-67, p53 and epidermal growth factor receptor immunostaining in human glioblastomas. Neuropathol Appl Neurobiol 1998;24(5):381-8.
  • Referans7 Yoshioka H, Hama S, Ito Y, Kajiwara Y, Yahara K, Saito T, et al. Apparent diffusion coefficient of human brain tumors at MR imaging. Radiology 2005;235(3):985–91.
  • Referans 8 Sugahara T, Korogi Y, Kochi M, Ikushima I, Shigematu Y, Hirai T, et al. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging 1999;9(1):53–60.
  • Referans 9 Rollin N, Guyotat J, Streichenberger N, Honnorat J, Tran Minh VA, Cotton F. Clinical relevance of diffusion and perfusion magnetic imaging in assessing intra-axial brain tumors. Neuroradiology 2006;48(3):150–9.
  • Referans10 Kao HW, Chiang SW, Chung HW, Tsai FY, Chen CY. Advanced MR Imaging of Gliomas: An Update. Biomed Res Int 2013;2013:970586.
  • Referans11 Kim HS, Kim SY. A prospective study on the added value of pulsed arterial spin-labeling and apparent diffusion doefficients in the grading of gliomas. AJNR Am J Neuroradiol 2007;28(9):1693-9.
  • Referans12 Hilario A, Ramos A, Perez-Nuñez A, Salvador E, Millan JM, Lagares A, et al. The added value of apparent diffusion coefficient to cerebral blood volume in the preoperative grading of diffuse gliomas. AJNR Am J Neuroradiol 2012;33(4):701-7.
  • Referans13 Aronen HJ, Gazit IE, Louis DN, Buchbinder BR, Pardo FS, Weisskoff RM, et al. Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. Radiology 1994;191(1):41-51.
  • Referans14 Hakyemez B, Erdogan C, Ercan I, Ergin N, Uysal S, Atahan S. High-grade and low-grade gliomas: differentiation by using perfusion MR imaging. Clin Radiol 2005;60(4):493-502.
  • Referans15 Knopp EA, Cha S, Johnson G, Mazumdar A, Golfinos JG, Zagzag D, et al. Glial neoplasms: dynamic contrast-enhanced T2*-weighted MR imaging. Radiology 1999;211(3):791-8.
  • Referans16 Shahmohammadi M, Fazeli AM, Janamiri Z, Gorji RA. Correlation of ADC Map with the Ki-67 Index in Glial Tumor Prognosis in Patients of Stereotaxic Ward ICNSJ 2017;4(1):18-24.
  • Referans17 Khalid H, Shibata S, Kishikawa M, Yasunaga A, Iseki M, Hiura T. Immunohistochemical analysis of progesterone receptor and Ki-67 labeling index in astrocytic tumors. Cancer 1997;80(11):2133–40.
  • Referans18 Yang L, Shi Z, Liu Z, Zhang J, Bi L, Han X, et al. MinADC values predict prognosis in patients with low-grade and high-grade gliomas by 3.0-T MRI. Int J Clin Exp Med 2016;9(11):21490-7.
  • Referans19 Rasheed BK, McLendon RE, Herndon JE, Friedman HS, Friedman AH, Bigner DD, et al. Alterations of the TP 53 gene in human gliomas. Cancer Res 1994;54(5):1324-30.
  • Referans20 Haapasalo H, Isola J, Sallinen P, Kalimo H, Helin H, Rantala I. Aberrant p53 expression in astrocytic neoplasms of the brain: association with proliferation. Am J Pathol 1993;142(5):1347-51.
  • Referans21 Ellison DW, Gatter KC, Steart PV, Lane DP, Weller RO. Expression of the p53 protein in a spectrum of astrocytic tumours. J Pathol 1992;168(4):383-6.
  • Referans22 Karamitopoulou E, Perentes E, Diamantis I. p53 protein expression in central nervous system tumors: an immunohistochemical study with CM1 polyvalent and DO-7 monoclonal antibodies. Acta Neuropathol 1993;85(6):611–6.
  • Referans 23 Barbareschi M, Iuzzolino P, Pennella A, Allegranza A, Arrigoni G, Dalla Palma P, et al. p53 protein expression in central nervous system neoplasms. J Clin Pathol 1992;45(7):583-6.
  • Referans24 Bruner JM, Saya H, Moser RP. Immunocytochemical detection of p53 in human gliomas. Mod Pathol 1991;4(5):671-4.
There are 24 citations in total.

Details

Primary Language English
Subjects Clinical Sciences
Journal Section Research Article
Authors

Gülhan Ertan

Sıla Ulus This is me 0000-0002-9313-3165

Aslı Çakır This is me

Publication Date August 3, 2018
Submission Date August 16, 2018
Published in Issue Year 2018

Cite

APA Ertan, G., Ulus, S., & Çakır, A. (2018). Comparison of Pathological Indexes (Ki-67, p53), and Perfusion/Diffusion MR Parameters in Glioma Staging. Duzce Medical Journal, 20(1), 11-15. https://doi.org/10.18678/dtfd.454072
AMA Ertan G, Ulus S, Çakır A. Comparison of Pathological Indexes (Ki-67, p53), and Perfusion/Diffusion MR Parameters in Glioma Staging. Duzce Med J. August 2018;20(1):11-15. doi:10.18678/dtfd.454072
Chicago Ertan, Gülhan, Sıla Ulus, and Aslı Çakır. “Comparison of Pathological Indexes (Ki-67, p53), and Perfusion/Diffusion MR Parameters in Glioma Staging”. Duzce Medical Journal 20, no. 1 (August 2018): 11-15. https://doi.org/10.18678/dtfd.454072.
EndNote Ertan G, Ulus S, Çakır A (August 1, 2018) Comparison of Pathological Indexes (Ki-67, p53), and Perfusion/Diffusion MR Parameters in Glioma Staging. Duzce Medical Journal 20 1 11–15.
IEEE G. Ertan, S. Ulus, and A. Çakır, “Comparison of Pathological Indexes (Ki-67, p53), and Perfusion/Diffusion MR Parameters in Glioma Staging”, Duzce Med J, vol. 20, no. 1, pp. 11–15, 2018, doi: 10.18678/dtfd.454072.
ISNAD Ertan, Gülhan et al. “Comparison of Pathological Indexes (Ki-67, p53), and Perfusion/Diffusion MR Parameters in Glioma Staging”. Duzce Medical Journal 20/1 (August 2018), 11-15. https://doi.org/10.18678/dtfd.454072.
JAMA Ertan G, Ulus S, Çakır A. Comparison of Pathological Indexes (Ki-67, p53), and Perfusion/Diffusion MR Parameters in Glioma Staging. Duzce Med J. 2018;20:11–15.
MLA Ertan, Gülhan et al. “Comparison of Pathological Indexes (Ki-67, p53), and Perfusion/Diffusion MR Parameters in Glioma Staging”. Duzce Medical Journal, vol. 20, no. 1, 2018, pp. 11-15, doi:10.18678/dtfd.454072.
Vancouver Ertan G, Ulus S, Çakır A. Comparison of Pathological Indexes (Ki-67, p53), and Perfusion/Diffusion MR Parameters in Glioma Staging. Duzce Med J. 2018;20(1):11-5.