PMID- 30165229
OWN - NLM
STAT- MEDLINE
DCOM- 20181217
LR  - 20191210
IS  - 1878-8769 (Electronic)
IS  - 1878-8750 (Linking)
VI  - 120
DP  - 2018 Dec
TI  - Evaluation of Peritumoral Brain Parenchyma Using Contrast-Enhanced 3D Fast 
      Imaging Employing Steady-State Acquisition at 3T for Differentiating Metastatic 
      Brain Tumors and Glioblastomas.
PG  - e719-e729
LID - S1878-8750(18)31930-2 [pii]
LID - 10.1016/j.wneu.2018.08.147 [doi]
AB  - BACKGROUND: Metastatic brain tumors and glioblastomas are the 2 of the most 
      common brain neoplasms in adults. However, distinguishing solitary metastatic 
      brain tumors from glioblastomas on conventional magnetic resonance imaging 
      remains particularly challenging. Thus, we aimed to retrospectively assess the 
      role of contrast-enhanced fast imaging employing steady-state acquisition 
      (CE-FIESTA) imaging in distinguishing between metastatic brain tumors and 
      glioblastomas. MATERIALS AND METHODS: Forty-three patients with metastatic brain 
      tumors and 14 patients with glioblastomas underwent conventional magnetic 
      resonance imaging and CE-FIESTA before surgery. First, 1 neuroradiologist and 1 
      neurosurgeon classified the CE-FIESTA findings for the peritumoral brain 
      parenchyma by consensus. Next, the 2 neuroradiologists performed an observer 
      performance study comparing tumor shape classification (smooth or irregular 
      margins), a classic imaging finding, with the CE-FIESTA classification of the 
      peritumoral brain parenchyma. RESULTS: The CE-FIESTA findings for the peritumoral 
      brain parenchyma were classified as follows: type A, no hyperintense rim; type B, 
      partial hyperintense rim; and type C, extended hyperintense rim. With regard to 
      the diagnosis of metastatic brain tumors, the observer performance study 
      demonstrated that the mean sensitivity, specificity, and accuracy of an extended 
      hyperintense rim classification (type C) on CE-FIESTA images were 95.3%, 85.7%, 
      and 93.0%, respectively. The accuracy of the CE-FIESTA classification was 
      significantly higher than that of the tumor shape classification. CONCLUSIONS: 
      CE-FIESTA images may provide useful information for distinguishing metastatic 
      brain tumors from glioblastomas, especially when focusing on differences in the 
      peritumoral brain parenchyma.
CI  - Copyright (c) 2018 Elsevier Inc. All rights reserved.
FAU - Yamamoto, Junkoh
AU  - Yamamoto J
AD  - Department of Neurosurgery, University of Occupational and Environmental Health, 
      Kitakyushu, Japan. Electronic address: yama9218@med.uoeh-u.ac.jp.
FAU - Kakeda, Shingo
AU  - Kakeda S
AD  - Department of Radiology, University of Occupational and Environmental Health, 
      Kitakyushu, Japan.
FAU - Shimajiri, Shohei
AU  - Shimajiri S
AD  - Department of Surgical Pathology, University of Occupational and Environmental 
      Health, Kitakyushu, Japan.
FAU - Nakano, Yoshiteru
AU  - Nakano Y
AD  - Department of Neurosurgery, University of Occupational and Environmental Health, 
      Kitakyushu, Japan.
FAU - Saito, Takeshi
AU  - Saito T
AD  - Department of Neurosurgery, University of Occupational and Environmental Health, 
      Kitakyushu, Japan.
FAU - Ide, Satoru
AU  - Ide S
AD  - Department of Radiology, University of Occupational and Environmental Health, 
      Kitakyushu, Japan.
FAU - Moriya, Junji
AU  - Moriya J
AD  - Department of Radiology, University of Occupational and Environmental Health, 
      Kitakyushu, Japan.
FAU - Korogi, Yukunori
AU  - Korogi Y
AD  - Department of Radiology, University of Occupational and Environmental Health, 
      Kitakyushu, Japan.
FAU - Nishizawa, Shigeru
AU  - Nishizawa S
AD  - Department of Neurosurgery, University of Occupational and Environmental Health, 
      Kitakyushu, Japan.
LA  - eng
PT  - Case Reports
PT  - Evaluation Study
PT  - Journal Article
DEP - 20180827
PL  - United States
TA  - World Neurosurg
JT  - World neurosurgery
JID - 101528275
RN  - 0 (Contrast Media)
SB  - IM
MH  - Aged
MH  - Brain/diagnostic imaging/pathology/surgery
MH  - Brain Neoplasms/*diagnostic imaging/pathology/*secondary/surgery
MH  - Contrast Media
MH  - Diagnosis, Differential
MH  - Female
MH  - Glioblastoma/*diagnostic imaging/pathology/surgery
MH  - Humans
MH  - *Imaging, Three-Dimensional/methods
MH  - Magnetic Resonance Imaging/*methods
MH  - Male
MH  - Parenchymal Tissue/*diagnostic imaging/pathology/surgery
MH  - Retrospective Studies
OTO - NOTNLM
OT  - Blood-brain barrier
OT  - FIESTA
OT  - Glioblastoma
OT  - Invasion
OT  - MRI
OT  - Metastatic brain tumor
EDAT- 2018/08/31 06:00
MHDA- 2018/12/18 06:00
CRDT- 2018/08/31 06:00
PHST- 2018/01/17 00:00 [received]
PHST- 2018/08/17 00:00 [revised]
PHST- 2018/08/18 00:00 [accepted]
PHST- 2018/08/31 06:00 [pubmed]
PHST- 2018/12/18 06:00 [medline]
PHST- 2018/08/31 06:00 [entrez]
AID - S1878-8750(18)31930-2 [pii]
AID - 10.1016/j.wneu.2018.08.147 [doi]
PST - ppublish
SO  - World Neurosurg. 2018 Dec;120:e719-e729. doi: 10.1016/j.wneu.2018.08.147. Epub 
      2018 Aug 27.