A meta-analysis of studies using MR spectroscopy for evaluating suspicious lesions after radiation therapy of primary brain tumors

被引:0
|
作者
Dževad Belkić
Karen Belkić
机构
[1] Karolinska Institute,Department of Oncology and Pathology
[2] Claremont Graduate University,School of Community and Global Health
[3] University of Southern California School of Medicine,Institute for Health Promotion and Disease Prevention Research
来源
关键词
Radiation therapy; Gliomas; Radiation necrosis; Magnetic resonance spectroscopy; Signal processing;
D O I
暂无
中图分类号
学科分类号
摘要
Primary brain tumors frequently return after radiation therapy (RT). In addition, RT can provoke changes in brain tissue that are difficult to distinguish from tumor recurrence using magnetic resonance imaging. Magnetic resonance spectroscopy (MRS) and spectroscopic imaging (MRSI) have been applied quite extensively with the aim of better differentiating recurrent brain tumors from radiation necrosis. To the best of our knowledge, however, there have not been any published papers within this context in which the results of MRS and MRSI have been analyzed in a comprehensive, integrative manner. Through meta-analysis, the present paper aims to determine which metabolite concentration ratios could potentially be the most reliable for differentiating post-RT recurrent brain tumor from radiation necrosis. We systematically reviewed the literature to find empirical studies of patients treated with RT for primary malignant brain tumors, and who developed a new lesion post-RT, which was assessed using MRS or MRSI. Reported data from individual patients were entered into a single data set for detailed statistical analysis. Six articles were identified that fulfilled the criteria for inclusion in the present study. From these, quantitative MRS/MRSI data were provided for sixty-three patients with recurrent brain tumors and for thirty-eight patients with radiation necrosis. Higher choline to creatine and choline to N-Acetyl Aspartate (NAA) concentration ratios were associated with a significantly greater likelihood of recurrent tumor, as opposed to radiation necrosis. This was found with and without statistical adjustment for high grade of the primary tumor, echo time (TE) and static magnetic field strength (B0). Higher NAA to creatine and lactate to choline concentration ratios were associated with a significantly greater likelihood of radiation necrosis as opposed to recurrent tumor, both with and without adjustment for tumor grade, TE and B0. Only the lactate to choline concentration ratio yielded 100 % correct prediction of all the cases for which data were available. However, data on lactate to choline concentration ratios were available for less than one-third of the patients; these were all recorded at long TE, at which most of the major signal components for the other metabolites have decayed to the level of background noise. No cutpoint values for the choline to creatine or choline to NAA concentration ratios could be identified that optimally distinguished recurrent tumor from radiation necrosis. We conclude that metabolite concentration ratios assessed within MRS/MRSI could potentially be helpful in distinguishing tumor recurrence from radiation necrosis. However, optimal distinction of these two entities has not yet been provided, mainly because of the nearly exclusive reliance upon the conventional estimations by post-processing of Fourier spectral envelopes with various fitting computations that are all equivocal. In order to more accurately identify recurrent brain tumor post-RT as opposed to radiation-induced changes, a more advanced and unequivocal mathematical approach for quantification of MRS/MRSI signals is needed. The answer of choice to this quest is offered by the universally applicable method of rational functions from the mathematical theory of approximations. The most salient feature of rational functions is their capability to accurately describe the essential behavior of generic systems by means of the least number of quantifying parameters, as an indispensable prerequisite for a parsimonious mathematical modeling. The most established rational response function, which has passed the test of time across interdisciplinary research, is the Padé approximant. Adapted to signal processing and accordingly called the fast Padé transform, this versatile method is the optimal spectral analyzer for MRS/MRSI data. It is within such a strategy that the questions addressed in this study could be answered in an adequate manner.
引用
收藏
页码:2527 / 2557
页数:30
相关论文
共 50 条
  • [1] A meta-analysis of studies using MR spectroscopy for evaluating suspicious lesions after radiation therapy of primary brain tumors
    Belkic, Dzevad
    Belkic, Karen
    JOURNAL OF MATHEMATICAL CHEMISTRY, 2012, 50 (09) : 2527 - 2557
  • [2] MR Spectroscopy and MR perfusion of brain tumors before and after radiation therapy: Preliminary results
    Laothamatas, J
    Asavaphatiboon, S
    Sinlapawongsa, T
    Dhanachai, M
    Yongvithisatid, P
    Theerupancharoen, V
    RADIOSUGERY, VOL 5, 2004, 5 : 267 - 277
  • [3] ANALYSIS OF LATE EVENTS AFTER RADIATION THERAPY FOR PRIMARY PEDIATRIC BRAIN TUMORS
    Trkova, Katerina
    Vicha, Ales
    Krskova, Lenka
    Koblizek, Miroslav
    Ondrova, Barbora
    Kopecka, Marie
    Landova, Lucie
    Benes, Vladimir, III
    Zapotocky, Michal
    Sumerauer, David
    NEURO-ONCOLOGY, 2024, 26
  • [4] Accuracy of MR imaging in the work-up of suspicious breast lesions: A diagnostic meta-analysis
    Hrung, JM
    Sonnad, SS
    Schwartz, JS
    Langlotz, CP
    ACADEMIC RADIOLOGY, 1999, 6 (07) : 387 - 397
  • [5] Differentiating Radiation-Induced Necrosis from Recurrent Brain Tumor Using MR Perfusion and Spectroscopy: A Meta-Analysis
    Chuang, Ming-Tsung
    Liu, Yi-Sheng
    Tsai, Yi-Shan
    Chen, Ying-Chen
    Wang, Chien-Kuo
    PLOS ONE, 2016, 11 (01):
  • [6] Evaluating risk factors of radiation pneumonitis after stereotactic body radiation therapy in lung tumor: Meta-analysis of 9 observational studies
    Lu, Chi
    Lei, Zhang
    Wu, Hongbin
    Lu, Hongda
    PLOS ONE, 2018, 13 (12):
  • [7] Complementary roles of C-11 methionine PET and MR spectroscopy in recurrent brain tumors after radiation therapy
    Kim, Jahae
    Beon, Byung Yeon
    Kang, Sae-Ryung
    Yoo, Su Woong
    Oh, Jong-Ryool
    Moon, Young-Ju
    Jung, Tae-Young
    Min, Jung-Joon
    Song, Ho-Chun
    Bom, Hee-Seung
    JOURNAL OF NUCLEAR MEDICINE, 2011, 52
  • [8] Meta-analysis of P31 MR spectroscopy studies in schizophrenia
    Buckley, PF
    Friedman, L
    Dasari, M
    Schulz, SC
    SCHIZOPHRENIA RESEARCH, 1998, 29 (1-2) : 99 - 100
  • [9] Laser Interstitial Thermal Therapy for the Treatment of Primary and Metastatic Brain Tumors: A Systematic Review and Meta-Analysis
    Alkazemi, Maha
    Lo, Yu Tung
    Hussein, Helweh
    Mammi, Marco
    Saleh, Serag
    Araujo-Lama, Lita
    Mommsen, Shannon
    Pisano, Alessandra
    Lamba, Nayan
    Bunevicius, Adomas
    Mekary, Rania A.
    WORLD NEUROSURGERY, 2023, 171 : E654 - E671
  • [10] MR Imaging Evaluation of Intracerebral Hemorrhages and T2 Hyperintense White Matter Lesions Appearing after Radiation Therapy in Adult Patients with Primary Brain Tumors
    Yoo, Dong Hyun
    Song, Sang Woo
    Yun, Tae Jin
    Kim, Tae Min
    Lee, Se-Hoon
    Kim, Ji-Hoon
    Sohn, Chul-Ho
    Park, Sung-Hye
    Park, Chul-Kee
    Kim, Il Han
    Choi, Seung Hong
    PLOS ONE, 2015, 10 (08):