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Preoperative relative cerebral blood volume analysis in gliomas predicts survival and mitigates risk of biopsy sampling error

  • Brendan J. McCullough(corresponding author)
    ,
  • Valerie Ader
    ,
  • Brian Aguedan
    ,
  • Xu Feng
    ,
  • Daniel Susanto
    ,
  • Tara L. Benkers
*Corresponding author for this work
  • University of Washington
    ,
  • Swedish Medical Center
    ,
  • Radia, Inc.
    ,
  • Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment
    ,
  • Piedmont Brain Tumor Center
    ,
  • St. Luke’s Hospital
Scholary Output:
Contribution to journal
Article
Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Appropriate management of adult gliomas requires an accurate histopathological diagnosis. However, the heterogeneity of gliomas can lead to misdiagnosis and undergrading, especially with biopsy. We evaluated the role of preoperative relative cerebral blood volume (rCBV) analysis in conjunction with histopathological analysis as a predictor of overall survival and risk of undergrading. We retrospectively identified 146 patients with newly diagnosed gliomas (WHO grade II–IV) that had undergone preoperative MRI with rCBV analysis. We compared overall survival by histopathologically determined WHO tumor grade and by rCBV using Kaplan–Meier survival curves and the Cox proportional hazards model. We also compared preoperative imaging findings and initial histopathological diagnosis in 13 patients who underwent biopsy followed by subsequent resection. Survival curves by WHO grade and rCBV tier similarly separated patients into low, intermediate, and high-risk groups with shorter survival corresponding to higher grade or rCBV tier. The hazard ratio for WHO grade III versus II was 3.91 (p = 0.018) and for grade IV versus II was 11.26 (p OpenSPiltSPi 0.0001) and the hazard ratio for each increase in 1.0 rCBV units was 1.12 (p OpenSPiltSPi 0.002). Additionally, 3 of 13 (23%) patients initially diagnosed by biopsy were upgraded on subsequent resection. Preoperative rCBV was elevated at least one standard deviation above the mean in the 3 upgraded patients, suggestive of undergrading, but not in the ten concordant diagnoses. In conclusion, rCBV can predict overall survival similarly to pathologically determined WHO grade in patients with gliomas. Discordant rCBV analysis and histopathology may help identify patients at higher risk for undergrading.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 181-188 (8 pages)

Journal (Volume, Issue Number)

Journal of Neuro-Oncology (Volume 136, Issue 1)

Publication milestones

  • Published - 01/01/2018

Publication status

Published - 01/01/2018

ISSN

0167-594X

Publication IDs

  • Scopus: 85032894628
  • PubMed: 29098571

Publication metrics

Metrics

SciVal
citations
2
Fractional count
1
Fractional count
0.06
Fractional count
15
Fractional count
0.94
Fractional count
1
Fractional count
1
SciVal
FWCI
0.20
SciVal
Author count
16
SciVal
Paper percentile
49
Scopus
citations

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Captures
26
Citation count
13