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.
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.
Authors: Ramon F Barajas; Jamie S Chang; Mark R Segal; Andrew T Parsa; Michael W McDermott; Mitchel S Berger; Soonmee Cha Journal: Radiology Date: 2009-09-29 Impact factor: 11.105
Authors: Alan Jackson; Andrea Kassner; Deborah Annesley-Williams; Helen Reid; Xiau-Ping Zhu; Kah-Loh Li Journal: AJNR Am J Neuroradiol Date: 2002-01 Impact factor: 3.825
Authors: James J Vredenburgh; Annick Desjardins; James E Herndon; Jeannette M Dowell; David A Reardon; Jennifer A Quinn; Jeremy N Rich; Sith Sathornsumetee; Sridharan Gururangan; Melissa Wagner; Darell D Bigner; Allan H Friedman; Henry S Friedman Journal: Clin Cancer Res Date: 2007-02-15 Impact factor: 12.531
Authors: Roger Stupp; Warren P Mason; Martin J van den Bent; Michael Weller; Barbara Fisher; Martin J B Taphoorn; Karl Belanger; Alba A Brandes; Christine Marosi; Ulrich Bogdahn; Jürgen Curschmann; Robert C Janzer; Samuel K Ludwin; Thierry Gorlia; Anouk Allgeier; Denis Lacombe; J Gregory Cairncross; Elizabeth Eisenhauer; René O Mirimanoff Journal: N Engl J Med Date: 2005-03-10 Impact factor: 91.245
Authors: L Burt Nabors; Tom Mikkelsen; Steven S Rosenfeld; Fred Hochberg; Narasimha S Akella; Joy D Fisher; Gretchen A Cloud; Yu Zhang; Kathryn Carson; Sabine M Wittemer; A Dimitrios Colevas; Stuart A Grossman Journal: J Clin Oncol Date: 2007-05-01 Impact factor: 44.544
Authors: Michael H Lev; Yelda Ozsunar; John W Henson; Amjad A Rasheed; Glenn D Barest; Griffith R Harsh; Markus M Fitzek; E Antonio Chiocca; James D Rabinov; Andrew N Csavoy; Bruce R Rosen; Fred H Hochberg; Pamela W Schaefer; R Gilberto Gonzalez Journal: AJNR Am J Neuroradiol Date: 2004-02 Impact factor: 3.825
Authors: Meng Law; Stanley Yang; James S Babb; Edmond A Knopp; John G Golfinos; David Zagzag; Glyn Johnson Journal: AJNR Am J Neuroradiol Date: 2004-05 Impact factor: 3.825
Authors: Patrick Y Wen; Timothy F Cloughesy; Benjamin M Ellingson; David A Reardon; Howard A Fine; Lauren Abrey; Karla Ballman; Martin Bendszuz; Jan Buckner; Susan M Chang; Michael D Prados; Whitney B Pope; Alma Gregory Sorensen; Martin van den Bent; Wai-Kwan Alfred Yung Journal: Neuro Oncol Date: 2014-10 Impact factor: 12.300
Authors: Michael H Soike; Emory R McTyre; Nameeta Shah; Ralph B Puchalski; Jordan A Holmes; Anna K Paulsson; Lance D Miller; Christina K Cramer; Glenn J Lesser; Roy E Strowd; William H Hinson; Ryan T Mott; Annette J Johnson; Hui-Wen Lo; Adrian W Laxton; Stephen B Tatter; Waldemar Debinski; Michael D Chan Journal: Neuroradiology Date: 2018-08-10 Impact factor: 2.804
Authors: Soo Young Chae; Sangil Suh; Inseon Ryoo; Arim Park; Kyoung Jin Noh; Hackjoon Shim; Hae Young Seol Journal: Neuroradiology Date: 2017-03-24 Impact factor: 2.804
Authors: Fred H Hochberg; Nadia A Atai; David Gonda; Michael S Hughes; Brolin Mawejje; Leonora Balaj; Robert S Carter Journal: Expert Rev Mol Diagn Date: 2014-05 Impact factor: 5.225
Authors: Jerrold L Boxerman; Chad C Quarles; Leland S Hu; Bradley J Erickson; Elizabeth R Gerstner; Marion Smits; Timothy J Kaufmann; Daniel P Barboriak; Raymond H Huang; Wolfgang Wick; Michael Weller; Evanthia Galanis; Jayashree Kalpathy-Cramer; Lalitha Shankar; Paula Jacobs; Caroline Chung; Martin J van den Bent; Susan Chang; W K Al Yung; Timothy F Cloughesy; Patrick Y Wen; Mark R Gilbert; Bruce R Rosen; Benjamin M Ellingson; Kathleen M Schmainda Journal: Neuro Oncol Date: 2020-09-29 Impact factor: 12.300