Diagnostic efficacy of apparent diffusion coefficient measurements in differentiation of malignant intra-axial brain tumors

Diagnostic efficacy of apparent diffusion coefficient measurements in differentiation of malignant intra-axial brain tumors

Background/aim: To evaluate diagnostic efficacy of the apparent diffusion coefficient measurements from tumor (ADCt) and tumor circumference hyperintensities (ADCtch) in different types of malignant intra-axial brain tumors. Materials and methods: Between April 2013 and June 2017, 125 patients (52 females (41.6%) and 73 males (58.4%); mean age: 53 years, age range: 14-81 years), who underwent diffusion-weighted imaging (DWI) with intracranial mass, were retrospectively evaluated. The mean ADCt and ADCtch values and ratios were measured. Results: Of the 125 patients, 22 (17.6%) had a low-grade glioma (LGG), 55 (44%) had a high-grade glioma (HGG), 32 (25.6%) had metastasis, and 16 (12.8%) had lymphoma diagnosis. There was a statistically significant difference in LGG and HGG in terms of mean ADCtand mean ADCtch values, and ratios. ADCtch values and ratios showed a statistically significant difference in the differentiation of HGG and metastasis and in the differentiation of HGG and lymphoma. According to ROC curve analysis, a cut-off value of 1.49 × 10−3 mm2 /s for the mean ADCtch value generated the best combination of 70% sensitivity and 71% specificity for differentiation of HGGs and metastasis. The mean ADCtch value had the highest statistical predictive value for differentiation of HGGs and lymphoma with a sensitivity of 78% and a specificity of 76% for the optimal cut-off value of 0.82 × 10ˉ3mm²/s. Conclusion: The mean ADCtratio allowed reliable differentiation of LGG and high grade brain tumors, including HGGs, metastases, and lymphoma. The mean ADCtch might be a better imaging biomarker in the differentiation of HHG from metastasis and lymphoma.Key words: Brain tumors, magnetic resonance imaging, diffusion-weighted imaging, apparent diffusion coefficient

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  • 1. Kitis O, Altay H, Calli C, Yunten N, Akalin T et al. Minimum apparent diffusion coefficients in the evaluation of brain tumors. European Journal of Radiology 2005; 55 (3): 393-400. doi: 10.1016/j.ejrad.2005.02.004
  • 2. Server A, Kulle B, Maehlen J, Josefsen R, Schellhorn T et al. Quantitative apparent diffusion coefficients in the characterization of brain tumors and associated peritumoral edema. Acta Radiologica 2009; 50 (6): 682-689. doi: 10.1080/02841850902933123
  • 3. Lemercier P, Maya SP, Patrie JT, Flors L, Leiva-Sanalis C. Gradient of apparent diffusion coefficient values in peritumoral edema helps in differentiation of glioblastoma from solitary metastatic lesions. American Journal of Roentgenology 2014; 203 (1): 163-169. doi: 10.2214/AJR.13.11186
  • 4. Guo AC, Cummings TJ, Dash RC, Provenzale JM. Lymphomas and high-grade astrocytomas: Comparison of water diffusibility and histologic characteristics. Radiology 2002; 224 (1): 177-183. doi: 10.1148/radiol.2241010637
  • 5. Quadery FA, Okamoto K. Diffusion weighted MRI of haemangioblastomas and other cerebellar tumours. Neuroradiology 2003; 45 (4): 212-219. doi: 10.1007/s00234-003- 0951-y
  • 6. Krabbe K, Gideon P, Wagn P, Hansen U, Thomsen C et al. MR diffusion imaging of human intracranial tumors. Neuroradiology 1997; 39 (7): 483-489. doi: 10.1007/s002340050450
  • 7. Lam WW, Poon WS, Metreweli C. Diffusion MR imaging in glioma: does it have any role in the pre-operation determination of grading of glioma? Clinical Radiology 2002; 57 (3): 219-225. doi: 10.1053/crad.2001.0741
  • 8. Tien RD, Felsberg GJ, Friedman H, Brown M, MacFall J. MR imaging of high-grade cerebral gliomas: Value of diffusionweighted echoplanar pulse sequences. American Journal of Roentgenology 1994; 162 (3): 671-677. doi: 10.2214/ ajr.162.3.8109520
  • 9. Basirjafari S, Poureisa M, Shahhoseini B, Zarei M, Aghayari Sheikh Neshin S et al. Apparent diffusion coefficient values and non-homogeneity of diffusion in brain tumors in diffusionweighted MRI. Acta Radiologica 2020; 61 (2): 244-252. doi: 10.1177/0284185119856887
  • 10. Cihangiroglu MM, Ozturk-Isik E, Firat Z, Kilickesmez O, Ulug AM et al. Preoperative grading of supratentorial gliomas using high or standard b-value diffusion-weighted MR imaging at 3T. Diagnostic and Interventional Imaging 2017; 98 (3): 261- 268. doi: 10.1016/j.diii.2016.11.005
  • 11. Zeng Q, Dong F, Shi F, Ling C, Jiang B et al. Apparent diffusion coefficient maps obtained from high b value diffusionweighted imaging in the preoperative evaluation of gliomas at 3T: comparison with standard b value diffusion-weighted imaging. European Radiology 2017; 27 (12): 5309-5315. doi: 10.1007/s00330-017-4910-0
  • 12. Kono K, Inoue Y, Nakayama K, Shakudo M, Morino M et al. The role of diffusion weighted imaging in patients with brain tumors. American Journal of Roentgenology 2001; 22 (6): 1081-1088. PMID: 11415902
  • 13. Yamasaki F, Kurisu K, Satoh K, Arita K, Sugiyama K et al. Apparent diffusion coefficient of human brain tumors at MR imaging. Radiology 2005; 235 (3): 985-991. doi: 10.1148/ radiol.2353031338
  • 14. Eis M, Els T, Hoehn-Berlage M, Hossmann KA. Quantitative diffusion MR imaging of cerebral tumor and edema. Acta Neurochirurgica Supplement 1994; 60: 344-346. doi: 10.1007/978-3-7091-9334-1_92
  • 15. Lee EJ, terBrugge K, Mikulis D, Dae Seob Choi, Jong Myon Bae et al. Diagnostic value of peritumoral minimum apparent diffusion coefficient for differentiation of glioblastoma multiforme from solitary metastatic lesions. American Journal of Roentgenology 2011; 196 (1): 71-76. doi: 10.2214/ AJR.10.4752
  • 16. Caravan I, Ciortea CA, Contis A, Lebovici A. Diagnostic value of apparent diffusion coefficient in differentiating between high-grade gliomas and brain metastases. Acta Radiologica 2017; 59 (5): 599-605. doi: 10.1177/0284185117727787
  • 17. Suh CH, Kim HS, Jung SC, Kim SJ. Diffusion-weighted imaging and diffusion tensor imaging for differentiating high-grade glioma from solitary brain metastasis: a systematic review and meta-analysis. American Journal of Neuroradiology 2018; 39 (7): 1208-1214. doi: 10.3174/ajnr.A5650
  • 18. Mehrnahad M, Rostami S, Kimia F, Kord R, Taheri M. S et al. Differentiating glioblastoma multiforme from cerebral lymphoma: application of advanced texture analysis of quantitative apparent diffusion coefficients. The Neuroradiology Journal 2020; 33 (5): 428-436. doi: 10.1177/1971400920937382
  • 19. Kickingereder P, Wiestler B, Sahm F, Heiland S, Roethke M et al. Primary central nervous system lymphoma and atypical glioblastoma: multiparametric differentiation by using diffusion-, perfusion-, and susceptibility-weighted MR imaging. Radiology 2014; 272 (3): 843-850. doi: 10.1148/ radiol.14132740
  • 20. Calli C, Kitis O, Yunten N, Yurtseven T, Islekel S et al. Perfusion, diffusion MR imaging in enhancing malignant cerebral tumors. European Journal of Radiology 2006; 58 (3): 394-403. doi: 10.1016/j.ejrad.2005.12.032
  • 21. Doskaliyev A, Yamasaki F, Ohtaki M, Kajiwara Y, Takeshima Y et al. Lymphomas and glioblastomas: differences in the apparent diffusion coefficient evaluated with high b-value diffusion-weighted magnetic resonance imaging at 3T. European Journal of Radiology 2012; 81 (2): 339-344. doi: 10.1016/j.ejrad.2010.11.005
Turkish Journal of Medical Sciences-Cover
  • ISSN: 1300-0144
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
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