Log in

Glioma recurrence versus radiation necrosis: accuracy of current imaging modalities

  • Topic Review
  • Published:
Journal of Neuro-Oncology Aims and scope Submit manuscript

Abstract

Treatment for brain gliomas is a combined approach of surgery, radiation therapy and chemotherapy. Nevertheless, high-grade gliomas usually recur despite treatment. Ionizing radiation therapy to the central nervous system may cause post-radiation damage. Differentiation between post-irradiation necrosis and recurrent glioma on the basis of clinical signs and symptomatology has not been possible. Computed tomography (CT) and magnetic resonance imaging (MRI) suffer from significant limitations when applied to differentiate recurrent brain tumor from radiation necrosis. We reviewed the contribution of recent MRI techniques, single-photon emission CT and positron emission tomography to discriminate necrosis for glioma recurrence. We concluded that despite the progress being made, further research is needed to establish reliable imaging modalities that distinguish between true tumour progression and treatment-related necrosis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Glass JP, Hwang T-L, Leavens ME, Libshitz HI (1984) Cerebral radiation necrosis following treatment of extracranial malignancies. Cancer 54:1966–1972. doi:10.1002/1097-0142(19841101)54:9<1966::AID-CNCR2820540930>3.0.CO;2-4

    Article  CAS  PubMed  Google Scholar 

  2. Fischer AW, Holfelder H (1930) Lokales amyloid im gehirn. Dtsch Z Chir 227:475–483

    Article  Google Scholar 

  3. Marks JE, Wong J (1985) The risk of cerebral radionecrosis in relation to dose, time and fractionation: a followup study. Prog Exp Tumor Res 29:210–218

    Article  CAS  PubMed  Google Scholar 

  4. Yoshii Y (2008) Pathological review of late cerebral radionecrosis. Brain Tumor Pathol 25:51–58. doi:10.1007/s10014-008-0233-9

    Article  PubMed  Google Scholar 

  5. DeAngelis LM (2001) Brain tumors. N Engl J Med 344:114–123. doi:10.1056/NEJM200101113440207

    Article  CAS  PubMed  Google Scholar 

  6. Brandsma D, Stalpers L, Taal W et al (2008) Clinical features, mechanisms, and management of pseudoprogression in malignant gliomas. Lancet Oncol 9:453–461. doi:10.1016/S1470-2045(08)70125-6

    Article  PubMed  Google Scholar 

  7. Brandes AA, Franceschi E, Tosoni A et al (2008) MGMT promoter methylation status can predict the incidence and outcome of pseudoprogression after concomitant radiochemotherapy in newly diagnosed glioblastoma patients. J Clin Oncol 1(26):2192–2197. doi:10.1200/JCO.2007.14.8163

    Article  Google Scholar 

  8. Chamberlain MC, Glantz MJ, Chalmers L et al (2007) Early necrosis following concurrent Temodar and radiotherapy in patients with glioblastoma. J Neurooncol 82:81–83. doi:10.1007/s11060-006-9241-y

    Article  PubMed  Google Scholar 

  9. Burger PC (1986) Malignant astrocytic neoplasms: classification, pathologic anatomy, and response to treatment. Semin Oncol 13:16–26

    CAS  PubMed  Google Scholar 

  10. Perry A, Schmidt RE (2006) Cancer therapy-associated CNS neuropathology: an update and review of the literature. Acta Neuropathol 111:197–212. doi:10.1007/s00401-005-0023-y

    Article  CAS  PubMed  Google Scholar 

  11. Burger PC, Scheithauer BW (1994) Atlas of tumor pathology, 3rd series, fascicle 10: tumors of the central nervous system. Armed Forces Institute of Pathology, Washington, DC

    Google Scholar 

  12. Carvalho PA, Schwartz RB, Alexander E III (1992) Detection of recurrent gliomas with quantitative thallium-201/technetium-99m HMPAO single-photon emission computerized tomography. J Neurosurg 77:565–570

    Article  CAS  PubMed  Google Scholar 

  13. Byrne TN (1994) Imaging of gliomas. Semin Oncol 21:162–171

    CAS  PubMed  Google Scholar 

  14. Leeds NE, Jackson EF (1994) Current imaging techniques for the evaluation of brain Neoplasms. Curr Opin Oncol 6:254–261. doi:10.1097/00001622-199405000-00006

    Article  CAS  PubMed  Google Scholar 

  15. Kumar AJ, Leeds NE, Fuller GN (2000) Malignant gliomas: MR imaging spectrum of radiation therapy- and hemotherapy-induced necrosis of the brain after treatment. Radiology 217:377–384

    Article  CAS  PubMed  Google Scholar 

  16. Mullins ME, Barest GD, Schaefer PW, Hochberg FH, Gonzalez RG, Lev MH (2005) Radiation necrosis versus glioma recurrence: conventional MR imaging clues to diagnosis. AJNR Am J Neuroradiol 26:1967–1972

    PubMed  Google Scholar 

  17. Stadnik TW, Chaskis C, Michotte A (2001) Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings. AJNR Am J Neuroradiol 22:969–976

    CAS  PubMed  Google Scholar 

  18. Schaefer PW, Ozsunar Y, He J (2003) Assessing tissue viability with MR diffusion and perfusion imaging. AJNR Am J Neuroradiol 24:436–443

    PubMed  Google Scholar 

  19. Marks JE, Baglan RJ, Prassad SC, Blank WF (1981) Cerebral radionecrosis: incidence and risk in relation to dose, time, fractionation and volume. Int J Radiat Oncol Biol Phys 7:243–252

    Article  CAS  PubMed  Google Scholar 

  20. Brunberg JA, Chenevert TL, McKeever PE (1995) In vivo MR determination of water diffusion coefficients and diffusion anisotropy: correlation with structural alteration in gliomas of the cerebral hemispheres. AJNR Am J Neuroradiol 16:361–371

    CAS  PubMed  Google Scholar 

  21. Lu S, Ahn D, Johnson G (2003) Peritumoral diffusion tensor imaging of high grade gliomas and metastatic brain tumors. AJNR Am J Neuroradiol 24:937–941

    PubMed  Google Scholar 

  22. Lu S, Ahn D, Johnson G et al (2004) Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema: introduction of the tumor infiltration index. Radiology 232:221–228. doi:10.1148/radiol.2321030653

    Article  PubMed  Google Scholar 

  23. Oppenheim C, Rodrigo S, Poupon C et al (2004) Diffusion tensor MR imaging of the brain: clinical applications. J Radiol 85:287–296 in French

    Article  CAS  PubMed  Google Scholar 

  24. Le Bihan D, Douek P, Argyropoulou M et al (1993) Diffusion and perfusion magnetic resonance imaging in brain tumors. Top Magn Reson Imaging 5:25–31

    Article  CAS  PubMed  Google Scholar 

  25. Castillo M, Smith JK, Kwock L, Wilber K (2001) Apparent diffusion coefficients in the evaluation of high-grade cerebral gliomas. AJNR Am J Neuroradiol 22:60–64

    CAS  PubMed  Google Scholar 

  26. Kitis O, Altay H, Calli C et al (2005) Minimum apparent diffusion coefficients in the evaluation of brain tumors. Eur J Radiol 55:393–400. doi:10.1016/j.ejrad.2005.02.004

    Article  PubMed  Google Scholar 

  27. Kono K, Inoue Y, Nakayama K et al (2001) The role of diffusion-weighted imaging in patients with brain tumors. AJNR Am J Neuroradiol 22:1081–1088

    CAS  PubMed  Google Scholar 

  28. Lam WW, Poon WS, Metreweli C (2002) Diffusion MR imaging in glioma: does it have any role in the pre-operation determination of grading of glioma? Clin Radiol 57:219–225. doi:10.1053/crad.2001.0741

    Article  CAS  PubMed  Google Scholar 

  29. Asao C, Korogi Y, Kitajima M et al (2005) Diffusion-weighted imaging of radiation-induced brain injury for differentiation from tumor recurrence. AJNR Am J Neuroradiol 26:1455–1460

    PubMed  Google Scholar 

  30. Hein PA, Eskey CJ, Dunn JF, Hug EB (2004) Diffusion-weighted imaging in the follow-up of treated high-grade gliomas: tumor recurrence versus radiation injury. AJNR Am J Neuroradiol 25:201–209

    PubMed  Google Scholar 

  31. Biousse V, Newman NJ, Hunter SB, Hudgins PA (2003) Diffusion weighted imaging in radiation necrosis. J Neurol Neurosurg Psychiatry 74:382–384. doi:10.1136/jnnp.74.3.382

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Sundgren PC, Fan X, Weybright P et al (2006) Differentiation of recurrent brain tumor versus radiation injury using diffusion tensor imaging in patients with new contrast-enhancing lesions. Magn Reson Imaging 24:1131–1142. doi:10.1016/j.mri.2006.07.008

    Article  CAS  PubMed  Google Scholar 

  33. Kashimura H, Inoue T, Beppu T et al (2007) Diffusion tensor imaging for differentiation of recurrent brain tumor and radiation necrosis after radiotherapy—three case reports. Clin Neurol Neurosurg 109:106–110. doi:10.1016/j.clineuro.2006.04.005

    Article  PubMed  Google Scholar 

  34. Covarrubias DJ, Rosen BR, Lev MH (2004) Dynamic magnetic resonance perfusion imaging of brain tumors. Oncologist 9:528–537. doi:10.1634/theoncologist.9-5-528

    Article  PubMed  Google Scholar 

  35. Aronen HJ, Perkiö J (2002) Dynamic susceptibility contrast MRI of gliomas. Neuroimaging Clin N Am 12:501–523. doi:10.1016/S1052-5149(02)00026-6

    Article  PubMed  Google Scholar 

  36. Sugahara T, Korogi Y, Tomiguchi S et al (2000) Posttherapeutic intraaxial brain tumor: the value of perfusion-sensitive contrast- enhanced MR imaging for differentiating tumor recurrence from nonneoplastic contrast-enhancing tissue. AJNR Am J Neuroradiol 21:901–909

    CAS  PubMed  Google Scholar 

  37. Di Costanzo A, Pollice S, Trojsi F et al (2008) Role of perfusion-weighted imaging at 3 Tesla in the assessment of malignancy of cerebral gliomas. Radiol Med 113:134–143. doi:10.1007/s11547-008-0232-2 (Torino)

    Article  CAS  PubMed  Google Scholar 

  38. Hollingworth LS, Medina RE, Lenkinski DK et al (2006) A systematic literature review of magnetic resonance spectroscopy for the characterization of brain tumors. AJNR Am J Neuroradiol 27:1404–1411

    CAS  PubMed  Google Scholar 

  39. Ando K, Ishikura R, Nagami Y et al (2004) Usefulness of Cho/Cr ratio in protonMR spectroscopy for differentiating residual/recurrent glioma from non-neoplastic lesions. Nippon Igaku Hoshasen Gakkai Zasshi 64:121–126

    CAS  PubMed  Google Scholar 

  40. Traber F, Block W, Flacke S et al (2002) 1H-MR Spectroscopy of brain tumors in the course of radiation therapy: use of fast spectroscopic imaging and singlevoxel spectroscopy for diagnosing recurrence. Rofo 174:33–42

    Article  CAS  PubMed  Google Scholar 

  41. Lichy MP, Henze M, Plathow C et al (2004) Metabolic imaging to follow stereotactic radiation of gliomas—the role of1HMRspectroscopy in comparison toFDGPET and IMT-SPECT. Rofo 176:1114–1121

    Article  CAS  PubMed  Google Scholar 

  42. Plotkin M, Eisenacher J, Bruhn H et al (2004) 123I-IMT SPECT and1HMR-spectroscopy at 3.0 T in the differential diagnosis of recurrent or residual gliomas: a comparative study. J Neurooncol 70:49–58. doi:10.1023/B:NEON.0000040810.77270.68

    Article  PubMed  Google Scholar 

  43. Dowling C, Bollen AW, Noworolski SM et al (2001) Preoperative proton MR spectroscopic imaging of brain tumors: correlation with histopathologic analysis of resection specimens. AJNR Am J Neuroradiol 22:604–612

    CAS  PubMed  Google Scholar 

  44. Zeng QS, Li CF, Liu H (2007) Distinction between recurrent glioma and radiation injury using magnetic resonance spectroscopy in combination with diffusion-weighted imaging. Int J Radiat Oncol Biol Phys 68:151–158. doi:10.1016/j.ijrobp.2006.12.001

    Article  PubMed  Google Scholar 

  45. Rock JP, Scarpace L, Hearshen D et al (2004) Associations among magnetic resonance spectroscopy, apparent diffusion coefficients, and image-guided histopathology with special attention to radiation necrosis. Neurosurgery 54:1111–1117. doi:10.1227/01.NEU.0000119328.56431.A7

    Article  PubMed  Google Scholar 

  46. Chen W (2007) Clinical applications of PET in brain tumors. J Nucl Med 48:1468–1481. doi:10.2967/jnumed.106.037689

    Article  PubMed  Google Scholar 

  47. Bénard F, Romsa J, Hustinx R (2002) Imaging gliomas with positron emission tomography and single-photon emission computed tomography. Semin Nucl Med 33:148–162. doi:10.1053/snuc.2003.127304

    Article  Google Scholar 

  48. Vos MJ, Tony BN, Hoekstra OS et al (2007) Systematic review of the diagnostic accuracy of 201Tl single photon emission computed tomography in the detection of recurrent glioma. Nucl Med Commun 28:431–439. doi:10.1097/MNM.0b013e328155d131

    Article  PubMed  Google Scholar 

  49. Kline JL, Noto RB, Glantz M (1996) Single-photon emission CT in the evaluation of recurrent brain tumor in patients treated with gamma knife radiosurgery or conventional radiation therapy. AJNR Am J Neuroradiol 17:1681–1686

    CAS  PubMed  Google Scholar 

  50. Le Jeune FP, Dubois F, Blond S et al (2006) Sestamibi technetium-99m brain single-photon emission computed tomography to identify recurrent glioma in adults: 201 studies. J Neurooncol 77:177–183. doi:10.1007/s11060-005-9018-8

    Article  PubMed  Google Scholar 

  51. Henze M, Mohammed A, Schlemmer HP et al (2004) PET and SPECT for detection of tumor progression in irradiated low-grade astrocytoma: a receiver-operating-characteristic analysis. J Nucl Med 45:579–586

    PubMed  Google Scholar 

  52. Yamamoto Y, Nishiyama Y, Toyama Y et al (2002) 99mTc-MIBI and 201Tl SPET in the detection of recurrent brain tumours after radiation therapy. Nucl Med Commun 23:1183–1190. doi:10.1097/00006231-200212000-00006

    Article  CAS  PubMed  Google Scholar 

  53. Lamy-Lhullier C, Dubois F, Blond S et al (1999) Importance of cerebral tomoscintigraphy using technetium-labeled sestamibi in the differential diagnosis of current tumor vs radiation necrosis in subtentorial glial tumors in the adult. Neurochirurgie 45:110–117

    CAS  PubMed  Google Scholar 

  54. Barai S, Bandopadhayaya GP, Julka PK et al (2004) Evaluation of 99mTc-L-methionine brain SPECT for detection of recurrent brain tumor: a pilot study with radiological and pathological correlation. Acta Radiol 45:649–657. doi:10.1080/02841850410006740

    Article  CAS  PubMed  Google Scholar 

  55. Schwartz RB, Carvalho PA, Alexander E III et al (1991) Radiation necrosis vs high-grade recurrent glioma: differentiation by using dual-isotope SPECT with 201TI and 99mTc-HMPAO. AJNR Am J Neuroradiol 12:1187–1192

    CAS  PubMed  Google Scholar 

  56. Slizofski WJ, Krishna L, Katsetos CD et al (1994) Thallium imaging for brain tumors with results measured by a semiquantitative index and correlated with histopathology. Cancer 74:3190–3197. doi:10.1002/1097-0142(19941215)74:12%3c3190::AID-CNCR2820741218%3e3.0.CO;2-#

    Article  CAS  PubMed  Google Scholar 

  57. Barai S, Bandopadhayaya G, Julka P et al (2004) Imaging of recurrent brain tumors with trivalent (99m)Tc-dimercaptosuccinic acid-initial results. Hell J Nucl Med 7:44–47

    PubMed  Google Scholar 

  58. Barai S, Rajkamal, Bandopadhayaya GP et al (2005) Thallium-201 versus Tc99m-glucoheptonate SPECT for evaluation of recurrent brain tumours: a within-subject comparison with pathological correlation. J Clin Neurosci 12:27–31. doi:10.1016/j.jocn.2004.01.008

    Article  CAS  PubMed  Google Scholar 

  59. Barai S, Bandopadhayaya GP, Julka PK et al (2004) Role of Tc-glucoheptonic acid brain single photon emission computed tomography in differentiation of recurrent brain tumour and post-radiation gliosis. Australas Radiol 48:296–301. doi:10.1111/j.0004-8461.2004.01310.x

    Article  CAS  PubMed  Google Scholar 

  60. Tsiouris S, Pirmettis I, Chatzipanagiotou T et al (2007) Pentavalent technetium-99m dimercaptosuccinic acid [99m Tc-(V)DMSA] brain scintitomography—a plausible non-invasive depicter of glioblastoma proliferation and therapy response. J Neurooncol 85:291–295. doi:10.1007/s11060-007-9410-7

    Article  CAS  PubMed  Google Scholar 

  61. Alexiou GA, Fotopoulos AD, Papadopoulos A et al (2007) Evaluation of brain tumor recurrence by (99m)Tc-tetrofosmin SPECT: a prospective pilot study. Ann Nucl Med 21:293–298. doi:10.1007/s12149-007-0027-x

    Article  PubMed  Google Scholar 

  62. Barai S, Bandopadhayaya GP, Julka PK et al (2003) Evaluation of single photon emission computerised tomography (SPECT) using Tc99m-tetrofosmin as a diagnostic modality for recurrent posterior fossa tumours. J Postgrad Med 49:316–320

    CAS  PubMed  Google Scholar 

  63. Yoshii Y, Satou M, Yamamoto T et al (1993) The role of thallium-201 single photon emission tomography in the investigation and characterisation of brain tumours in man and their response to treatment. Eur J Nucl Med 20:39–45. doi:10.1007/BF02261244

    Article  CAS  PubMed  Google Scholar 

  64. Macapinlac H, Scott A, Caluser C et al (1992) Comparison of T1-201 and Tc-99m-2-methoxy isobutyl isonitrile (MIBI) with MRI in the evaluation of recurl-ent brain tumors. J Nucl Med 33:867

    Google Scholar 

  65. Kosuda S, Fujii H, Aoki S et al (1993) Reassessment of quantitative thallium-201 brain SPECT for miscellaneous brain tumors. Ann Nucl Med 7:257–263

    Article  CAS  PubMed  Google Scholar 

  66. Sasaki M, Ichiya Y, Kuwabara Y et al (1996) Hyperperfusion and hypermetabolism in brain radiation necrosis with epileptic activity. J Nucl Med 37:1174–1176

    CAS  PubMed  Google Scholar 

  67. Yoshii Y, Moritake T, Suzuki K et al (1996) Cerebral radiation necrosis with accumulation of thallium 201 on single-photon emission CT. AJNR Am J Neuroradiol 17:1773–1776

    CAS  PubMed  Google Scholar 

  68. Soler C, Beauchesne P, Maatougui K et al (1998) Technetium-99m sestamibi brain single-photon emission tomography for detection of recurrent gliomas after radiation therapy. Eur J Nucl Med 25:1649–1657. doi:10.1007/s002590050344

    Article  CAS  PubMed  Google Scholar 

  69. Mountz JM, Rosenfeld SS, Li Y (1993) Utility of T1-201 and Tc-99m-sestamibi SPECT for early determination of malignant tumor chemotherapy efficacy. J NucI Med 34:206R

    Google Scholar 

  70. Borodin OYU, Velichko OB, Garganeev AB, et al. (2000) Comparison of 99 mTc-MIBI SPECT and GD-enhanced MRI in detection of recurrent tumor in malignant. Eur J Nucl Med 27:154R

    Google Scholar 

  71. Palumbo B, Lupattelli M, Pelliccioli GP et al (2006) Association of 99mTc-MIBI brain SPECT and proton magnetic resonance spectroscopy (1H-MRS) to assess glioma recurrence after radiotherapy. Q J Nucl Med Mol Imaging 50:88–93

    CAS  PubMed  Google Scholar 

  72. Alexiou GA, Tsiouris S, Goussia A et al (2008) Evaluation of glioma proliferation by 99mTc-Tetrofosmin. Neurooncology 10:104–105. doi:10.1215/15228517-2007-043

    Google Scholar 

  73. Alexiou GA, Vartholomatos G, Tsiouris S et al (2008) Evaluation of meningioma aggressiveness by (99m)Tc-Tetrofosmin SPECT. Clin Neurol Neurosurg 110:645–648. doi:10.1016/j.clineuro.2008.03.016

    Article  PubMed  Google Scholar 

  74. Fotopoulos AD, Alexiou GA, Goussia A et al (2008) (99m)Tc-Tetrofosmin brain SPECT in the assessment of meningiomas-correlation with histological grade and proliferation index. J Neurooncol 89:225–230. doi:10.1007/s11060-008-9611-8

    Article  PubMed  Google Scholar 

  75. Barai S, Bandopadhayaya GP, Julka PK et al (2004) Imaging using Tc99m-tetrofosmin for the detection of the recurrence of brain tumour: a comparative study with Tc99m-glucoheptonate. J Postgrad Med 50:89–93

    PubMed  Google Scholar 

  76. Samnick S, Bader JB, Hellwig D et al (2002) Clinical value of iodine-123-alpha-methyl-l-tyrosine single-photon emission tomography in the differential diagnosis of recurrent brain tumor in patients pretreated for glioma at follow-up. J Clin Oncol 20:396–404. doi:10.1200/JCO.20.2.396

    Article  PubMed  Google Scholar 

  77. Kuwert T, Woesler B, Morgenroth C et al (1998) Diagnosis of recurrent glioma with SPECT and iodine-123-alpha-methyl tyrosine. J Nucl Med 39:23–27

    CAS  PubMed  Google Scholar 

  78. Henze M, Mohammed A, Schlemmer H et al (2002) Detection of tumour progression in the follow-up of irradiated low-grade astrocytomas: comparison of 3-[123I]iodo-alpha-methyl-l-tyrosine and 99mTc-MIBI SPET. Eur J Nucl Med Mol Imaging 29:1455–1461. doi:10.1007/s00259-002-0896-0

    Article  PubMed  Google Scholar 

  79. Di Chiro G, Oldfield E, Wright DC et al (1988) Cerebral necrosis after radiotherapy and/or intraarterial chemotherapy for brain tumors: PET and neuropathologic studies. AJR Am J Roentgenol 150:189–197

    Article  CAS  PubMed  Google Scholar 

  80. Doyle WK, Budinger TF, Valk PE et al (1987) Differentiation of cerebral radiation necrosis from tumor recurrence by [18F]FDG and 82Rb positron emission tomography. J Comput Assist Tomogr 11:563–570. doi:10.1097/00004728-198707000-00001

    Article  CAS  PubMed  Google Scholar 

  81. Kim EE, Chung S-K, Haynie TP et al (1992) Differentiation of residual or recurrent tumors from post-treatment changes in F-18 FDG PET. Radiographics 12:269–279

    Article  CAS  PubMed  Google Scholar 

  82. Valk PE, Budinger TF, Levin VA (1988) PET of malignant tumors after interstitial brachytherapy: demonstration of metabolic activity and correlation with clinical outcome. J Neurosurg 69:830–838

    Article  CAS  PubMed  Google Scholar 

  83. Glantz MJ, Hoffman JM, Coleman RE et al (1991) Identification of early recurrence of primary central nervous system tumors by 18F fluorodeoxyglucose positron emission tomography. Ann Neurol 29:347–355. doi:10.1002/ana.410290403

    Article  CAS  PubMed  Google Scholar 

  84. Ogawa T, Kanno I, Shishido F et al (1991) Clinical value of PET with [18F]fluorodeoxyglucose and l-methyl-11C-methionine for diagnosis of recurrent brain tumor and radiation injury. Acta Radiol 32:197–202

    Article  CAS  PubMed  Google Scholar 

  85. Ricci PE, Karis JP, Heiserman JE et al (1998) Differentiating recurrent tumor from radiation necrosis: time for re-evaluation of positron emission tomography? AJNR Am J Neuroradiol 19:407–413

    CAS  PubMed  Google Scholar 

  86. Olivero WC, Dulebohn SC, Lister JR (1995) The use of PET in evaluating patients with primary brain tumors: is it useful? J Neurol Neurosurg Psychiatry 58:250–252. doi:10.1136/jnnp.58.2.250

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  87. Gómez-Río M, Rodríguez-Fernández A, Ramos-Font C et al (2008) Diagnostic accuracy of 201Thallium-SPECT and 18F-FDG-PET in the clinical assessment of glioma recurrence. Eur J Nucl Med Mol Imaging 35:966–975. doi:10.1007/s00259-007-0661-5

    Article  PubMed  Google Scholar 

  88. Kahn D, Follett KA, Bushnell DL et al (1994) Diagnosis of recurrent brain tumor: value of 201Tl SPECT vs 18F-fluorodeoxyglucose PET. AJR Am J Roentgenol 163:1459–1465

    Article  CAS  PubMed  Google Scholar 

  89. Stokkel M, Stevens H, Taphoorn M et al (1999) Differentiation between recurrent brain tumour and post-radiation necrosis: the value of 201Tl SPET versus 18F-FDG PET using a dual-headed coincidence camera—a pilot study. Nucl Med Commun 20:411–417

    Article  CAS  PubMed  Google Scholar 

  90. Terakawa Y, Tsuyuguchi N, Iwai Y et al (2008) Diagnostic accuracy of 11C-methionine PET for differentiation of recurrent brain tumors from radiation necrosis after radiotherapy. J Nucl Med 49:694–699. doi:10.2967/jnumed.107.048082

    Article  PubMed  Google Scholar 

  91. Tsuyuguchi N, Takami T, Sunada I et al (2004) Methionine positron emission tomography for differentiation of recurrent brain tumor and radiation necrosis after stereotactic radiosurgery—in malignant glioma. Ann Nucl Med 18:291–296. doi:10.1007/BF02984466

    Article  CAS  PubMed  Google Scholar 

  92. Sonoda Y, Kumabe T, Takahashi T et al (1998) Clinical usefulness of 11C-MET PET and 201T1 SPECT for differentiation of recurrent glioma from radiation necrosis. Neurol Med Chir 38:342–347. doi:10.2176/nmc.38.342 (Tokyo)

    Article  CAS  Google Scholar 

  93. Van Laere K, Ceyssens S, Van Calenbergh F et al (2005) Direct comparison of 18F-FDG and 11C-methionine PET in suspected recurrence of glioma: sensitivity, inter-observer variability and prognostic value. Eur J Nucl Med Mol Imaging 32:39–51. doi:10.1007/s00259-004-1564-3

    Article  CAS  PubMed  Google Scholar 

  94. Jacobs AH, Thomas A, Kracht LW et al (2005) 18F-fluoro-l-thymidine and 11C-methylmethionine as markers of increased transport and proliferation in brain tumors. J Nucl Med 46:1948–1958

    CAS  PubMed  Google Scholar 

  95. Chen W, Cloughesy T, Kamdar N et al (2005) Imaging proliferation in brain tumors with 18F-FLT PET: comparison with 18F-FDG. J Nucl Med 46:945–952

    CAS  PubMed  Google Scholar 

  96. Yamamoto Y, Wong TZ, Turkington TG et al (2006) 3′-Deoxy-3′-[F-18]fluorothymidine positron emission tomography in patients with recurrent glioblastoma multiforme: comparison with Gd-DTPA enhanced magnetic resonance imaging. Mol Imaging Biol 8:340–347. doi:10.1007/s11307-006-0063-2

    Article  PubMed  Google Scholar 

  97. Chen W, Silverman DH, Delaloye S et al (2006) 18F-FDOPA PET imaging of brain tumors: comparison study with 18F-FDG PET and evaluation of diagnostic accuracy. J Nucl Med 47:904–911

    CAS  PubMed  Google Scholar 

  98. **angsong Z, Changhong L, Weian C et al (2006) PET imaging of cerebral astrocytoma with 13N-ammonia. J Neurooncol 78:145–151. doi:10.1007/s11060-005-9069-x

    Article  PubMed  CAS  Google Scholar 

  99. Pöpperl G, Götz C, Rachinger W et al (2004) Value of O-(2-[18F]fluoroethyl)-l-tyrosine PET for the diagnosis of recurrent glioma. Eur J Nucl Med Mol Imaging 31:1464–1470. doi:10.1007/s00259-004-1590-1

    Article  PubMed  CAS  Google Scholar 

  100. Rachinger W, Goetz C, Pöpperl G et al (2005) Positron emission tomography with O-(2-[18F]fluoroethyl)-l-tyrosine versus magnetic resonance imaging in the diagnosis of recurrent gliomas. Neurosurgery 57:505–511. doi:10.1227/01.NEU.0000171642.49553.B0

    Article  PubMed  Google Scholar 

  101. Mehrkens JH, Pöpperl G, Rachinger W et al (2008) The positive predictive value of O-(2-[18F]fluoroethyl)-l-tyrosine (FET) PET in the diagnosis of a glioma recurrence after multimodal treatment. J Neurooncol 88:27–35. doi:10.1007/s11060-008-9526-4

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to George A. Alexiou.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Alexiou, G.A., Tsiouris, S., Kyritsis, A.P. et al. Glioma recurrence versus radiation necrosis: accuracy of current imaging modalities. J Neurooncol 95, 1–11 (2009). https://doi.org/10.1007/s11060-009-9897-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11060-009-9897-1

Keywords

Navigation