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Does MR perfusion imaging impact management decisions for patients with brain tumors? A prospective study

  • C. P. Geer
    ,
  • J. Simonds
    ,
  • A. Anvery
    ,
  • M. Y. Chen
    ,
  • J. H. Burdette
    ,
  • M. E. Zapadka
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

BACKGROUND AND PURPOSE: MR perfusion imaging can be used to help predict glial tumor grade and disease progression. Our purpose was to evaluate whether perfusion imaging has a diagnostic or therapeutic impact on clinical management planning in patients with glioma. MATERIALS AND METHODS: Standard MR imaging protocols were interpreted by a group of 3 NRs in consensus, with each case being interpreted twice: first, including routine sequences; and second, with the addition of perfusion imaging. A multidisciplinary team of treating physicians assessed tumor status and created hypothetical management plans, on the basis of clinical presentation and routine MR imaging and then routine MR imaging plus perfusion MR imaging. Physicians' confidence in the tumor status assessment and management plan was measured by using Likert-type items. RESULTS: Fifty-nine consecutive subjects with glial tumors were evaluated; 50 had known pathologic diagnoses. NRs and the treatment team agreed on tumor status in 45/50 cases (κ = 0.81). With the addition of perfusion, confidence in status assessment increased in 20 (40%) for NRs and in 28 (56%) for the treatment team. Of the 59 patient-care episodes, the addition of perfusion was associated with a change in management plan in 5 (8.5%) and an increase in the treatment team's confidence in their management plan in 34 (57.6%). NRs and the treatment team found perfusion useful in most episodes of care and wanted perfusion included in future MR images for >80% of these subjects. CONCLUSIONS: Perfusion imaging appears to have a significant impact on clinical decision-making and subspecialist physicians' confidence in management plans for patients with brain tumor.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 556-562 (7 pages)

Journal (Volume, Issue Number)

American Journal of Neuroradiology (Volume 33, Issue 3)

Publication milestones

  • Published - 03/2012

Publication status

Published - 03/2012

ISSN

0195-6108

Publication IDs

  • Scopus: 84863356217
  • PubMed: 22116105

Publication metrics

Metrics

Scopus
citations
SciVal
FWCI
1.65
SciVal
Author count
12
SciVal
citations
31
SciVal
Paper percentile
86
Fractional count
1
Fractional count
0.08
Fractional count
11
Fractional count
0.92
Fractional count
1
Fractional count
1

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Citation count
48
Captures
73