Application value of apparent diffusion coefficient in differentiation of brain radiation-injuries and glioma recurrence

Acta Academiae Medicinae Sinicae

Volumn 34, Issue 4, 2012, Pages 396-400

  Wang, Yu Lin ^a   Liu, Meng Yu ^b   Li, Jin Feng ^a   Zhang, Jun ^a   Sun, Lu ^a   Feng, Feng ^b   Ma, Lin ^a  

^a CHINESE PLA GENERAL HOSPITAL   (China)

^b PEKING UNION MEDICAL COLLEGE HOSPITAL   (China)

Author keywords

Apparent diffusion coefficient; Diffusion weighted imaging; Glioma recurrence; Magnetic resonance imaging; Radiation injuries

Indexed keywords

ADULT; AGED; APPARENT DIFFUSION COEFFICIENT; ARTICLE; BRAIN RADIATION; CANCER RECURRENCE; CLINICAL ARTICLE; COMPUTER PROGRAM; CONTRAST ENHANCEMENT; DIFFUSION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; FEMALE; FOLLOW UP; GLIOMA; HUMAN; MALE; NECROSIS; NUCLEAR MAGNETIC RESONANCE SCANNER;

ADULT; AGED; BRAIN INJURIES; BRAIN NEOPLASMS; DIAGNOSIS, DIFFERENTIAL; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; GLIOMA; HUMANS; MALE; MIDDLE AGED; NEOPLASM RECURRENCE, LOCAL; RADIATION INJURIES;

EID: 84866916770     PISSN: 1000503X     EISSN: None     Source Type: Journal    
DOI: 10.3881/j.issn.1000-503X.2012.04.016     Document Type: Article

References (12)

1. Rabinov JD, Lee PL, Barker FG, et al. In vivo 3-T MR spectroscopy in the distinction of recurrent glioma versus radiation effects: initial experience [J]. Radiology, 2002, 225(3):871-879. (Pubitemid 35387129)
2. Preul MC, Leblanc R, Caramanos Z, et al. Magnetic resonance spectroscopy guided brain tumor resection: differentiation between recurrent glioma and radiation change in two diagnostically difficult cases [J]. Can J Neurol Sci, 1998, 25(1):13-22. (Pubitemid 28210154)
3. Brunberg JA, Chenevert TL, McKeever PE, et al. In vivo MR determination of water diffusion coefficients and diffusion anisotropy: correlation with structural alteration in gliomas of the cerebral hemispheres [J]. AJNR Am J Neuroradiol, 1995, 16(2):361-371.
4. Castillo M, Smith JK, Kwock L, et al. Apparent diffusion coefficients in the evaluation of high-grade cerebral gliomas [J]. AJNR Am J Neuroradiol, 2001, 21(1):60-64. (Pubitemid 32105356)
5. Tsui EY, Chan JH, Ramsey RG, et al. Late temporal lobe necrosis in patients with nasaopharyngeal carcinoma; evaluation with compbined multi-section diffusion weighted and perfusion weighted MR imaging [J]. Eur J Radiol, 2001, 39(3):133-138. (Pubitemid 32846692)
6. Sugahara T, Korogi Y, Koehi M, et al. Usefulness of diffusion weighted imaging with echo-planar technique in the evaluation of cellularity in gliomas [J]. J Magn Reson Imaging, 1999, 9(1):53-60. (Pubitemid 29068231)
7. Krabbe K, Gideon P, Wagn P, et al. MR diffusion imaging of human intracranial tumours [J]. Neuroradiology, 1997, 39(7):483-489. (Pubitemid 27298110)
8. Schaefer PW, Ozsunar Y, He J, et al. Assessing tissue viability with MR diffusion and perfusion imaging [J]. AJNR Am J Neuroradiol, 2003, 24(3):436-443. (Pubitemid 36358997)
9. Stadnik TW, Chaskis C, Michotte A, et al. Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings [J]. AJNR Am J Neuroradiol, 2001, 22(5):969-976. (Pubitemid 32436243)
10. Chen ZY, Ma L, Lou X, et al. Diagnostic value of minimum apparent diffusion coefficient values in prediction of neuroepithelial tumor grading [J]. J Magn Reson Imaging, 2010, 31(6):1331-1338.
11. Zeng QS, Li CF, Liu H, et al. Distinction between recurrent glioma and radiation injury using magnetic resonace spectroscopy in combination with diffusion-weighted imaging [J]. J Radiation Oncology Biol Phys, 2007, 68(1):151-158.
12. Hein PA, Eskey CJ. Diffusion-weighted imaging in the follow-up of treated high-grade gliomas: tumor recurrence versus radiation injury [J]. AJNR Am J Neuroradiol, 2004, 25(2):201-209. (Pubitemid 38235296)