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Histogram analysis of absolute cerebral blood volume map can distinguish glioblastoma from solitary brain metastasis.


ABSTRACT: Glioblastoma multiforme (GBM) is difficult to be separated from solitary brain metastasis (sBM) in clinical practice. This study aimed to distinguish two entities by the histogram analysis of absolute cerebral blood volume (CBV) map.From March 2016 to June 2018, 24 patients with GBM and 18 patients with sBM were included in this retrospective study. The enhancing area was first segmented on the post-contrast T1WI, then the segmentation was copied to the absolute CBV map and histogram analysis was finally performed. Unpaired t test was used to select the features that could separate two entities and receiving operating curve was used to test the diagnostic performance. Finally, a machine learning method was used to test the diagnostic performance combing all the selected features.Six of 19 features were feasible to distinguish GBM from sBM (all P?

SUBMITTER: Qin J 

PROVIDER: S-EPMC6824738 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Histogram analysis of absolute cerebral blood volume map can distinguish glioblastoma from solitary brain metastasis.

Qin Jianhua J   Li Ying Y   Liang Donghai D   Zhang Yuanna Y   Yao Weicheng W  

Medicine 20191001 42


Glioblastoma multiforme (GBM) is difficult to be separated from solitary brain metastasis (sBM) in clinical practice. This study aimed to distinguish two entities by the histogram analysis of absolute cerebral blood volume (CBV) map.From March 2016 to June 2018, 24 patients with GBM and 18 patients with sBM were included in this retrospective study. The enhancing area was first segmented on the post-contrast T1WI, then the segmentation was copied to the absolute CBV map and histogram analysis wa  ...[more]

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