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Diffusion-weighted imaging and the apparent diffusion coefficient on 3T MR imaging in the differentiation of craniopharyngiomas and germ cell tumors

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Abstract

The apparent diffusion coefficient (ADC) on diffusion-weighted imaging (DWI) plays an important role in diagnosing intracranial tumors and predicting the histopathological grade of the tumor. However, the differences in the ADC values between craniopharyngiomas and germ cell tumors (GCTs) have not been clarified. We therefore evaluated the DWI and ADC values at b = 1000 and b = 4000 s/mm2 on 3T magnetic resonance (MR) imaging and assessed the possibility of differentiating between craniopharyngiomas and GCTs. We retrospectively reviewed 19 patients with craniopharyngioma and 24 patients with GCT who underwent surgery and received a histopathological diagnosis. Thirty-four patients underwent DWI with b = 1000 and b = 4000 s/mm2 and nine patients underwent periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) DWI with b = 1000 s/mm2. The ADC was determined by manually placing regions of interests (ROIs) in the respective tumor regions on the ADC maps and is expressed as the minimum (ADCMIN), mean (ADCMEAN), and maximum (ADCMAX) absolute values. The craniopharyngiomas showed lower intensity on DWI at b = 1000 and b = 4000 s/mm2 than the GCTs. Furthermore, the craniopharyngiomas demonstrated significantly high ADC values (ADCMIN, ADCMEAN, and ADCMAX) in comparison with the GCTs on DWI at b = 1000 and b = 4000 s/mm2. The logistic discriminant analysis clarified the advantage of ADCMIN at b = 4000 s/mm2 in differentiating between craniopharyngiomas and GCTs compared with the other ADC values. DWI and the ADC values may help clinicians to differentiate between craniopharyngiomas and GCTs. The ADCMIN at b = 4000 s/mm2 is particularly useful for differentiation.

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References

  1. The committee of the brain tumor registry of Japan (2014) Report of brain tumor registry of Japan (2001–2004) 13th edition. Neurol Med Chir (Tokyo) 54:9–102

    Google Scholar 

  2. Honegger J, Mann K, Thierauf P, Zrinzo A, Fahlbusch R (1995) Human chorionic gonadotrophin immunoactivity in cystic intracranial tumours. Clin Endocrinol (Oxf) 42:235–241

    Article  CAS  Google Scholar 

  3. Kinoshita Y, Tominaga A, Usui S, Kurisu K (2014) A craniopharyngioma with spontaneous involution of a gadolinium-enhanced region on magnetic resonance imaging. Surg Neurol Int 5:128

    Article  PubMed  PubMed Central  Google Scholar 

  4. Matsutani M, Sano K, Takakura K, Fujimaki T, Nakamura O, Funata N, Seto T (1997) Primary intracranial germ cell tumors: a clinical analysis of 153 histologically verified cases. J Neurosurg 86:446–455

    Article  CAS  PubMed  Google Scholar 

  5. Qaddoumi I, Sane M, Li S, Kocak M, Pai-Panandiker A, Harreld J, Klimo P, Wright K, Broniscer A, Gajjar A (2012) Diagnostic utility and correlation of tumor markers in the serum and cerebrospinal fluid of children with intracranial germ cell tumors. Childs Nerv Syst 28:1017–1024

    Article  PubMed  PubMed Central  Google Scholar 

  6. Kunii N, Abe T, Kawamo M, Tanioka D, Izumiyama H, Moritani T (2007) Rathke’s cleft cysts: differentiation from other cystic lesions in the pituitary fossa by use of single-shot fast spin-echo diffusion-weighted MR imaging. Acta Neurochir (Wien) 149:759–769

    Article  CAS  Google Scholar 

  7. Mahmoud OM, Tominaga A, Amatya VJ, Ohtaki M, Sugiyama K, Saito T, Sakoguchi T, Kinoshita Y, Shrestha P, Abe N, Akiyama Y, Takeshima Y, Arita K, Kurisu K, Yamasaki F (2010) Role of PROPELLER diffusion weighted imaging and apparent diffusion coefficient in the diagnosis of sellar and parasellar lesions. Eur J Radiol 74:420–427

    Article  PubMed  Google Scholar 

  8. Watanabe Y, Yamasaki F, Kajiwara Y, Takayasu T, Nosaka R, Akiyama Y, Sugiyama K, Kurisu K (2013) Preoperative histological grading of meningiomas using apparent diffusion coefficient at 3T MRI. Eur J Radiol 82:658–663

    Article  PubMed  Google Scholar 

  9. 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 MA (2005) Apparent diffusion coefficient of human brain tumors at MR imaging. Radiology 235:985–991

    Article  PubMed  Google Scholar 

  10. Alvarez-Linera J, Benito-Leon J, Escribano J, Rey G (2008) Predicting the histopathological grade of cerebral gliomas using high b value MR DW imaging at 3-tesla. J Neuroimaging 18:276–281

    Article  PubMed  Google Scholar 

  11. Doskaliyev A, Yamasaki F, Ohtaki M, Kajiwara Y, Takeshima Y, Watanabe Y, Takayasu T, Amatya VJ, Akiyama Y, Sugiyama K, Kurisu K (2012) Lymphomas and glioblastomas: differences in the apparent diffusion coefficient evaluated with high b-value diffusion-weighted magnetic resonance imaging at 3 T. Eur J Radiol 81:339–344

    Article  PubMed  Google Scholar 

  12. Seo HS, Chang KH, Na DG, Kwon BJ, Lee DH (2008) High b-value diffusion (b = 3000 s/mm2) MR imaging in cerebral gliomas at 3T: visual and quantitative comparisons with b = 1000 s/mm2. Am J Neuroradiol 29:458–463

    Article  CAS  PubMed  Google Scholar 

  13. Yamasaki F, Kurisu K, Aoki T, Yamanaka M, Kajiwara Y, Watanabe Y, Takayasu T, Akiyama Y, Sugiyama K (2012) Advantages of high b-value diffusion-weighted imaging to diagnose pseudo-responses in patients with recurrent glioma after bevacizumab treatment. Eur J Radiol 81:2805–2810

    Article  PubMed  Google Scholar 

  14. Forbes KP, Pipe JG, Karis JP, Heiserman JE (2002) Improved image quality and detection of acute cerebral infarction with PROPELLER diffusion-weighted MR imaging. Radiology 225:551–555

    Article  PubMed  Google Scholar 

  15. Bull JG, Saunders DE, Clark CA (2012) Discrimination of paediatric brain tumours using apparent diffusion coefficient histograms. Eur Radiol 22:447–457

    Article  PubMed  Google Scholar 

  16. Dumrongpisutikul N, Intrapiromkul J, Yousem DM (2012) Distinguishing between germinomas and pineal cell tumors on MR imaging. Am J Neuroradiol 33:550–555

    Article  CAS  PubMed  Google Scholar 

  17. Porto L, Jurcoane A, Schwabe D, Kieslich M, Hattingen E (2013) Differentiation between high and low grade tumours in paediatric patients by using apparent diffusion coefficients. Eur J Paediatr Neurol 17:302–307

    Article  PubMed  Google Scholar 

  18. Guo AC, Cummings TJ, Dash RC, Provenzale JM (2002) Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics. Radiology 224:177–183

    Article  PubMed  Google Scholar 

  19. Sugahara T, Korogi Y, Kochi M, Ikushima I, Shigematu Y, Hirai T, Okuda T, Liang LX, Ge YL, Komohara Y, Ushio Y, Takahashi M (1999) Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging 9:53–60

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

This study was partially supported by a grant-in-aid from the Japan Society for the Promotion of Science Grant-in Aid for Scientific Research (C) No. 25462262.

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The authors declare that they have no competing interests.

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Correspondence to Yasuyuki Kinoshita.

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Masahiko Tosaka, Gunma, JAPAN

Diffusion-weighted MR imaging (DWI) is becoming a commonly performed preoperative evaluation to investigate tumor cell density. The authors used periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) DWI as a special MR imaging method to reduce susceptibility artifacts for the preoperative qualitative evaluation of pituitary adenoma and other parasellar tumors in the previous reports. This unique study is an important investigation of the use of PROPELLER DWI for the differential diagnosis of craniopharyngiomas and germ cell tumors (GCTs). GCTs are enhanced well after gadolinium administration and sometimes show cyst formation, rarely with large multilobulated cysts, and sometimes involve calcification. Suprasellar GCTs are rarely misdiagnosed as craniopharyngioma. Papillary craniopharyngiomas including a relatively large solid component and GCTs share some imaging similarities in adult patients. However, craniopharyngioma and GCTs have quite different treatment strategies. The present study indicates that PROPELLER DWI evaluation of tumor cell density may offer important preoperative information for the differentiation of these tumors. Differentiation of pathological subtypes in craniopharyngiomas and GCTs might be the next target of using this special MR imaging method

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Kinoshita, Y., Yamasaki, F., Tominaga, A. et al. Diffusion-weighted imaging and the apparent diffusion coefficient on 3T MR imaging in the differentiation of craniopharyngiomas and germ cell tumors. Neurosurg Rev 39, 207–213 (2016). https://doi.org/10.1007/s10143-015-0660-0

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  • DOI: https://doi.org/10.1007/s10143-015-0660-0

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