Early posttreatment assessment of MRI perfusion biomarkers can predict long-term response of lung cancer brain metastases to stereotactic radiosurgery Journal Article


Authors: Taunk, N. K.; Oh, J. H.; Shukla-Dave, A.; Beal, K.; Vachha, B.; Holodny, A.; Hatzoglou, V.
Article Title: Early posttreatment assessment of MRI perfusion biomarkers can predict long-term response of lung cancer brain metastases to stereotactic radiosurgery
Abstract: Background Imaging criteria to evaluate the response of brain metastases to stereotactic radiosurgery (SRS) in the early posttreatment period remains a crucial unmet need. The aim of this study is to correlate early (within 12 wk) posttreatment perfusion MRI changes with long-term outcomes after treatment of lung cancer brain metastases with SRS. Methods Pre-and posttreatment perfusion MRI scans were obtained in patients treated with SRS for intact non-small cell lung cancer brain metastases. Time-dependent leakage (K trans), blood plasma volume (Vp), and extracellular extravascular volume (Ve) were calculated for each lesion. Patients were followed longitudinally with serial MRI until death, progression, or intervention (whole brain radiation or surgery). Results We included 53 lesions treated with SRS from 41 total patients. Median follow-up after treatment was 11 months. Actuarial local control at one year was 85%. Univariate analysis demonstrated a significant difference (P = 0.032) in posttreatment K trans SD between patients with progressive disease (mean = 0.0317) and without progressive disease (mean = 0.0219). A posttreatment K trans SD cutoff value of 0.017 was highly sensitive (89%) for predicting progressive disease and no progressive disease. Early posttreatment volume change was not associated with outcome (P = 0.941). Conclusion Posttreatment K trans SD may be used as an early posttreatment imaging biomarker to help predict long-term response of lung cancer brain metastases to SRS. This can help identify patients who will ultimately fail SRS and allow for timelier adjustment in treatment approach. These data should be prospectively validated in larger patient cohorts and other histologies. © 2017 The Author(s).
Keywords: radiation therapy; stereotactic radiosurgery; mri; brain metastases; perfusion mri
Journal Title: Neuro-Oncology
Volume: 20
Issue: 4
ISSN: 1522-8517
Publisher: Oxford University Press  
Date Published: 2018-03-27
Start Page: 567
End Page: 575
Language: English
DOI: 10.1093/neuonc/nox159
PROVIDER: scopus
PMCID: PMC5909646
PUBMED: 29016814
DOI/URL:
Notes: Article -- Export Date: 1 May 2018 -- Source: Scopus
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MSK Authors
  1. Kathryn Beal
    221 Beal
  2. Amita Dave
    137 Dave
  3. Jung Hun Oh
    187 Oh
  4. Andrei Holodny
    206 Holodny
  5. Neil Taunk
    31 Taunk
  6. Behroze Adi Vachha
    28 Vachha