Differentiation between brain tumor recurrence and radiation injury using MR spectroscopy

被引:152
|
作者
Weybright, P
Sundgren, PC
Maly, P
Hassan, DG
Nan, B
Rohrer, S
Junck, L
机构
[1] Univ Michigan, Dept Radiol, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Sch Publ Hlth, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Dept Neurol, Ann Arbor, MI 48109 USA
关键词
D O I
10.2214/AJR.04.0933
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
OBJECTIVE. The purpose of our study was to explore the feasibility and utility of 2D chemical shift imaging (CSI) MR spectroscopy in the evaluation of new areas of contrast enhancement at the site of a previously treated brain neoplasm. MATERIALS AND METHODS. Two-dimensional CSI (point-resolved spectroscopy sequence [PRESS]; TR/TE, 1,500/144) was performed in 29 consecutive patients (4-54 years old; mean age, 34 years) who had a new contrast-enhancing lesion in the vicinity of a previously diagnosed and treated brain neoplasm. Clinical and imaging follow-up, and histopathology in 16 patients, were used as indicators of the identity of a lesion. RESULTS. Diagnostic-quality spectra were obtained in 97% of the patients. The Cho/Cr (choline/creatine) and Cho/NAA (choline/N-acetyl aspartate) ratios were significantly higher, and the NAA/Cr ratios significantly lower, in tumor than in radiation injury (all three differences, p < 0.0001). The Cho/Cr and Cho/NAA ratios were significantly higher in radiation injury than in normal-appearing white matter (p < 0.0003 and p < 0.0001, respectively), whereas NAA/Cr ratios were not different (p = 0.075). Mean Cho/Cr ratios were 2.52 for tumor, 1.57 for radiation injury, and 1.14 for normal-appearing white matter. Mean Cho/NAA ratios were 3.48,1.31,0.79, and mean NAA/Cr ratios were 0.79,1.22, and 1.38, respectively. When values greater than 1.8 for either Cho/Cr or Cho/NAA ratios were considered evidence of tumor, 27 of 28 patients could be correctly classified. CONCLUSION. Two-dimensional CSI MR spectroscopy can differentiate tumor from radiation injury in patients with recurrent contrast-enhancing intracranial lesions. In these lesions, the Cho/NAA and Cho/Cr ratios may be the best numeric discriminators.
引用
收藏
页码:1471 / 1476
页数:6
相关论文
共 50 条
  • [1] Differentiation between brain tumor recurrence and radiation injury using perfusion, diffusion-weighted imaging and MR spectroscopy
    Bobek-Billewicz, Barbara
    Stasik-Pres, Gabriela
    Majchrzak, Henryk
    Zarudzki, Lukasz
    FOLIA NEUROPATHOLOGICA, 2010, 48 (02) : 81 - 92
  • [2] Proton MR spectroscopy for differentiation of tumor recurrence and radiation necrosis
    Ricci, PE
    Pitt, AM
    Heiserman, JE
    Keller, PJ
    Drayer, BP
    RADIOLOGY, 1996, 201 : 820 - 820
  • [3] Noninvasive differentiation of progressive brain tumor from radiation injury after stereotactic radiotherapy by using proton MR spectroscopy
    Schlemmer, HW
    Wencke, M
    Herfarth, K
    Bachert, P
    Debus, J
    Hawighorst, H
    RADIOLOGY, 1999, 213P : 188 - 188
  • [4] Comparison of MR Spectroscopy, MR perfusion, and Volume Modeling in Distinguishing Brain Tumor Recurrence from Radiation Necrosis
    Pieper, D. R.
    Huang, J.
    Wang, A.
    Yan, D.
    Maitz, A. H.
    Shetty, A.
    Doyle, D.
    Park, S.
    Chen, P.
    Grills, I.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2010, 78 (03): : S275 - S275
  • [5] Role of magnetic resonance spectroscopy in differentiation between recurrence of glioma and post radiation injury
    Sherif, Mohamed Fouad
    Salem, Faten Mohamed
    Almahallawy, Magdy A.
    Abd Algawad, Ahmad Mohamed
    Hammad, Qanet M.
    EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE, 2014, 45 (04): : 1233 - 1240
  • [6] Differentiation between intra-axial metastatic tumor progression and radiation injury following fractionated radiation therapy or stereotactic radiosurgery using MR spectroscopy, perfusion MR imaging or volume progression modeling
    Huang, Jiayi
    Wang, Ay-Ming
    Shetty, Anil
    Maitz, Ann H.
    Yan, Di
    Doyle, Danielle
    Richey, Kenneth
    Park, Sean
    Pieper, Daniel R.
    Chen, Peter Y.
    Grills, Inga Siiner
    MAGNETIC RESONANCE IMAGING, 2011, 29 (07) : 993 - 1001
  • [7] Diffusion-weighted imaging of radiation-induced brain injury for differentiation from tumor recurrence
    Asao, C
    Korogi, Y
    Kitajima, M
    Hirai, T
    Baba, Y
    Makino, K
    Kochi, M
    Morishita, S
    Yamashita, Y
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2005, 26 (06) : 1455 - 1460
  • [8] MR Spectroscopy in Radiation Injury
    Sundgren, P. C.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2009, 30 (08) : 1469 - 1476
  • [9] MR Spectroscopy Using Normalized and Non-normalized Metabolite Ratios for Differentiating Recurrent Brain Tumor from Radiation Injury
    Elias, Augusto E.
    Carlos, Ruth C.
    Smith, Ethan A.
    Frechtling, Dan
    George, Bekris
    Maly, Pavel
    Sundgren, Pia C.
    ACADEMIC RADIOLOGY, 2011, 18 (09) : 1101 - 1108
  • [10] Radiation Necrosis in the Brain: Imaging Features and Differentiation from Tumor Recurrence
    Shah, Ritu
    Vattoth, Surjith
    Jacob, Rojymon
    Manzil, Fathima Fijula Palot
    O'Malley, Janis P.
    Borghei, Peyman
    Patel, Bhavik N.
    Cure, Joel K.
    RADIOGRAPHICS, 2012, 32 (05) : 1343 - 1359