DSC Perfusion MRI–Derived Fractional Tumor Burden and Relative CBV Differentiate Tumor Progression and Radiation Necrosis in Brain Metastases Treated with Stereotactic Radiosurgery

References

1. 1.↵
   1. Suh CH,
   2. Kim HS,
   3. Jung SC, et al

   . Comparison of MRI and PET as potential surrogate endpoints for treatment response after stereotactic radiosurgery in patients with brain metastasis. AJR Am J Roentgenol 2018;211:1332–41 doi:10.2214/AJR.18.19674 pmid:30240297

   CrossRefPubMed
2. 2.↵
   1. Hu LS,
   2. Eschbacher JM,
   3. Heiserman JE, et al

   . Reevaluating the imaging definition of tumor progression: perfusion MRI quantifies recurrent glioblastoma tumor fraction, pseudoprogression, and radiation necrosis to predict survival. Neuro Oncol 2012;14:919–30 doi:10.1093/neuonc/nos112 pmid:22561797

   CrossRefPubMed
3. 3.↵
   1. Prah MA,
   2. Al-Gizawiy MM,
   3. Mueller WM, et al

   . Spatial discrimination of glioblastoma and treatment effect with histologically-validated perfusion and diffusion magnetic resonance imaging metrics. J Neurooncol 2018;136:13–21 doi:10.1007/s11060-017-2617-3 pmid:28900832

   CrossRefPubMed
4. 4.↵
   1. Iv M,
   2. Liu X,
   3. Lavezo J, et al

   . Perfusion MRI-based fractional tumor burden differentiates between tumor and treatment effect in recurrent glioblastomas and informs clinical decision-making. AJNR Am J Neuroradiol 2019;40:1649–57 doi:10.3174/ajnr.A6211 pmid:31515215

   Abstract/FREE Full Text
5. 5.↵
   1. Bedekar D,
   2. Jensen T,
   3. Schmainda KM

   . Standardization of relative cerebral blood volume (rCBV) image maps for ease of both inter- and intrapatient comparisons. Magn Reson Med 2010;64:907–13 doi:10.1002/mrm.22445 pmid:20806381

   CrossRefPubMed
6. 6.↵
   1. Hoxworth JM,
   2. Eschbacher JM,
   3. Gonzales AC, et al

   . Performance of standardized relative CBV for quantifying regional histologic tumor burden in recurrent high-grade glioma: comparison against normalized relative CBV using image-localized stereotactic biopsies. AJNR Am J Neuroradiol 2020;41:408–15 doi:10.3174/ajnr.A6486 pmid:32165359

   Abstract/FREE Full Text
7. 7.↵
   1. Prah MA,
   2. Stufflebeam SM,
   3. Paulson ES, et al

   . Repeatability of standardized and normalized relative CBV in patients with newly diagnosed glioblastoma. AJNR Am J Neuroradiol 2015;36:1654–61 doi:10.3174/ajnr.A4374 pmid:26066626

   Abstract/FREE Full Text
8. 8.↵
   1. Schmainda KM,
   2. Prah MA,
   3. Hu LS, et al

   . Moving toward a consensus DSC-MRI protocol: validation of a low-flip angle single-dose option as a reference standard for brain tumors. AJNR Am J Neuroradiol 2019;40:626–63 doi:10.3174/ajnr.A6015 pmid:30923088

   Abstract/FREE Full Text
9. 9.↵
   1. Connelly JM,
   2. Prah MA,
   3. Santos-Pinheiro F, et al

   . Magnetic resonance imaging mapping of brain tumor burden: clinical implications for neurosurgical management: case report. Neurosurgery Open 2021;2:okab029 doi:10.1093/neuopn/okab029 pmid:34661110

   CrossRefPubMed
10. 10.↵
    1. Ulaner GA

    1. Ulaner GA

    . Measuring treatment response on FDG PET/CT. In: Ulaner GA. Fundamentals of Oncologic PET/CT. Elsevier; 2019:225–29
11. 11.↵
    1. Minoshima S,
    2. Frey KA,
    3. Foster NL, et al

    . Preserved pontine glucose metabolism in Alzheimer disease: a reference region for functional brain image (PET) analysis. J Comput Assist Tomogr 1995;19:541–47 doi:10.1097/00004728-199507000-00006 pmid:7622680

    CrossRefPubMedWeb of Science
12. 12.↵
    1. Delgado AF,
    2. De Luca F,
    3. Hanagandi P, et al

    . Arterial spin-labeling in children with brain tumor: a meta-analysis. AJNR Am J Neuroradiol 2018;39:1536–42 doi:10.3174/ajnr.A5727 pmid:30072368

    Abstract/FREE Full Text
13. 13.↵
    1. Barajas RF,
    2. Chang JS,
    3. Sneed PK, et al

    . Distinguishing recurrent intra-axial metastatic tumor from radiation necrosis following gamma knife radiosurgery using dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. AJNR Am J Neuroradiol 2009;30:367–72 doi:10.3174/ajnr.A1362 pmid:19022867

    Abstract/FREE Full Text
14. 14.↵
    1. Sawlani V,
    2. Davies N,
    3. Patel M, et al

    . Evaluation of response to stereotactic radiosurgery in brain metastases using multiparametric magnetic resonance imaging and a review of the literature. Clin Oncol (R Coll Radiol) 2019;31:41–49 doi:10.1016/j.clon.2018.09.003 pmid:30274767

    CrossRefPubMed
15. 15.↵
    1. Hoefnagels FW,
    2. Lagerwaard FJ,
    3. Sanchez E, et al

    . Radiological progression of cerebral metastases after radiosurgery: assessment of perfusion MRI for differentiating between necrosis and recurrence. J Neurol 2009;256:878–87 doi:10.1007/s00415-009-5034-5 pmid:19274425

    CrossRefPubMed
16. 16.↵
    1. Barajas R Jr.,
    2. Chang JS,
    3. Segal MR, et al

    . Differentiation of recurrent glioblastoma multiforme from radiation necrosis after external beam radiation therapy with dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging. Radiology 2009;253:486–96 doi:10.1148/radiol.2532090007 pmid:19789240

    CrossRefPubMedWeb of Science
17. 17.↵
    1. Knitter JR,
    2. Erly WK,
    3. Stea BD, et al

    . Interval change in diffusion and perfusion MRI parameters for the assessment of pseudoprogression in cerebral metastases treated with stereotactic radiation. AJR Am J Roentgenol 2018;211:168175 doi:10.2214/AJR.17.18890 pmid:29708785

    CrossRefPubMed
18. 18.↵
    1. Lambert EA,
    2. Holmes S

    . Differentiating radiation-induced necrosis from tumor progression after stereotactic radiosurgery for brain metastases, using evaluation of blood flow with arterial spin labeling (ASL): the importance of setting a baseline. Acta Neurochir Suppl 2021;128:113–19 doi:10.1007/978-3-030-69217-9_12 pmid:34191067

    CrossRefPubMed
19. 19.↵
    1. Lai G,
    2. Mahadevan A,
    3. Hackney D, et al

    . Diagnostic accuracy of PET, SPECT, and arterial spin-labeling in differentiating tumor recurrence from necrosis in cerebral metastasis after stereotactic radiosurgery. AJNR Am J Neuroradiol 2015;36:2250–55 doi:10.3174/ajnr.A4475 pmid:26427832

    Abstract/FREE Full Text
20. 20.↵
    1. Nael K,
    2. Bauer AH,
    3. Hormigo A, et al

    . Multiparametric MRI for differentiation of radiation necrosis from recurrent tumor in patients with treated glioblastoma. AJR Am J Roentgenol 2018;210:18–23 doi:10.2214/AJR.17.18003 pmid:28952810

    CrossRefPubMed
21. 21.↵
    1. Iv M,
    2. Bisdas S

    . Neuroimaging in the era of the evolving WHO Classification of Brain Tumors, From the AJR Special Series on Cancer Staging. AJR Am J Roentgenol 2021;217:3–15 doi:10.2214/AJR.20.25246 pmid:33502214

    CrossRefPubMed
22. 22.↵
    1. Zhang H,
    2. Zhang G,
    3. Oudkerk M

    . Brain metastases from different primary carcinomas: an evaluation of DSC MRI measurements. Neuroradiol J 2012;25:67–75 doi:10.1177/197140091202500109 pmid:24028878

    CrossRefPubMed