Apparent diffusion coefficient parametric response mapping MRI for follow-up of glioblastoma

详细信息    查看全文

• 作者：Ra Gyoung Yoon ; Ho Sung Kim ; Dae Yoon Kim ; Gil Sun Hong…
• 关键词：Magnetic resonance imaging ; Brain ; Glioblastoma ; Chemoradiotherapy ; Response evaluation
• 刊名：European Radiology
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：26
• 期：4
• 页码：1037-1047
• 全文大小：3,503 KB
• 参考文献：1.Kumar AJ, Leeds NE, Fuller GN et al (2000) Malignant gliomas: MR imaging spectrum of radiation therapy- and chemotherapy-induced necrosis of the brain after treatment. Radiology 217:377–384CrossRef PubMed
  2.Barajas RF Jr, Chang JS, Segal MR et al (2009) Differentiation of recurrent glioblastoma multiforme from radiation necrosis after external beam radiation therapy with dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. Radiology 253:486–496CrossRef PubMed PubMedCentral
  3.Wen PY, Macdonald DR, Reardon DA et al (2010) Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. J Clin Oncol 28:1963–1972CrossRef PubMed
  4.Chung WJ, Kim HS, Kim N, Choi CG, Kim SJ (2013) Recurrent glioblastoma: optimum area under the curve method derived from dynamic contrast-enhanced T1-weighted perfusion MR imaging. Radiology 269:561–568CrossRef PubMed
  5.Harry VN, Semple SI, Parkin DE, Gilbert FJ (2010) Use of new imaging techniques to predict tumour response to therapy. Lancet Oncol 11:92–102CrossRef PubMed
  6.Oh J, Henry RG, Pirzkall A et al (2004) Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume. J Magn Reson Imaging 19:546–554CrossRef PubMed
  7.Moffat BA, Chenevert TL, Lawrence TS et al (2005) Functional diffusion map: a noninvasive MRI biomarker for early stratification of clinical brain tumor response. Proc Natl Acad Sci U S A 102:5524–5529CrossRef PubMed PubMedCentral
  8.Galban CJ, Chenevert TL, Meyer CR et al (2009) The parametric response map is an imaging biomarker for early cancer treatment outcome. Nat Med 15:572–576CrossRef PubMed PubMedCentral
  9.Hamstra DA, Galban CJ, Meyer CR et al (2008) Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival. J Clin Oncol 26:3387–3394CrossRef PubMed PubMedCentral
  10.Chiba Y, Kinoshita M, Okita Y et al (2012) Use of (11)C-methionine PET parametric response map for monitoring WT1 immunotherapy response in recurrent malignant glioma. J Neurosurg 116:835–842CrossRef PubMed
  11.Tsien C, Galban CJ, Chenevert TL et al (2010) Parametric response map as an imaging biomarker to distinguish progression from pseudoprogression in high-grade glioma. J Clin Oncol 28:2293–2299CrossRef PubMed PubMedCentral
  12.Vogelbaum MA, Jost S, Aghi MK et al (2012) Application of novel response/progression measures for surgically delivered therapies for gliomas: Response Assessment in Neuro-Oncology (RANO) Working Group. Neurosurgery 70:234–243, discussion 243-234 CrossRef PubMed
  13.Ellingson BM, Cloughesy TF, Lai A, Nghiemphu PL, Pope WB (2012) Nonlinear registration of diffusion-weighted images improves clinical sensitivity of functional diffusion maps in recurrent glioblastoma treated with bevacizumab. Magn Reson Med 67:237–245CrossRef PubMed
  14.Moffat BA, Chenevert TL, Lawrence TS et al (2005) Functional diffusion map: a noninvasive MRI biomarker for early stratification of clinical brain tumor response. Proc Natl Acad Sci U S A 102:5524–5529CrossRef PubMed PubMedCentral
  15.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 24:1131–1142CrossRef PubMed
  16.Henry RG, Vigneron DB, Fischbein NJ et al (2000) Comparison of relative cerebral blood volume and proton spectroscopy in patients with treated gliomas. AJNR Am J Neuroradiol 21:357–366PubMed
  17.Ellingson BM, Cloughesy TF, Zaw T et al (2012) Functional diffusion maps (fDMs) evaluated before and after radiochemotherapy predict progression-free and overall survival in newly diagnosed glioblastoma. Neuro Oncol 14:333–343CrossRef PubMed PubMedCentral
  18.Hamstra DA, Chenevert TL, Moffat BA et al (2005) Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma. Proc Natl Acad Sci U S A 102:16759–16764CrossRef PubMed PubMedCentral
  
• 作者单位：Ra Gyoung Yoon (1)
  Ho Sung Kim (2)
  Dae Yoon Kim (3)
  Gil Sun Hong (2)
  Sang Joon Kim (2)
  
  1. Department of Radiology, Catholic Kwandong University International St. Mary’s Hospital, Catholic Kwandong University College of Medicine, 25, Simgok-ro 100 beon-gil, Seo-gu, Incheon, 404-834, Republic of Korea
  2. Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea
  3. Department of Radiology, Bundang Jesaeng Hospital, 20, Seohyeon-ro 180 beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-774, Republic of Korea
  
• 刊物类别：Medicine
• 刊物主题：Medicine & Public Health
  Imaging and Radiology
  Diagnostic Radiology
  Interventional Radiology
  Neuroradiology
  Ultrasound
  Internal Medicine
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-1084

文摘

Objectives To determine the diagnostic superiority of parametric response mapping of apparent diffusion coefficient (ADCPR) for predicting glioblastoma treatment response, compared to single time point measurement.