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18F-fluoromisonidazole positron emission tomography can predict pathological necrosis of brain tumors

Overview of attention for article published in European Journal of Nuclear Medicine and Molecular Imaging, February 2016
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Title
18F-fluoromisonidazole positron emission tomography can predict pathological necrosis of brain tumors
Published in
European Journal of Nuclear Medicine and Molecular Imaging, February 2016
DOI 10.1007/s00259-016-3320-x
Pubmed ID
Authors

Takuya Toyonaga, Kenji Hirata, Shigeru Yamaguchi, Kanako C. Hatanaka, Sayaka Yuzawa, Osamu Manabe, Kentaro Kobayashi, Shiro Watanabe, Tohru Shiga, Shunsuke Terasaka, Hiroyuki Kobayashi, Yuji Kuge, Nagara Tamaki

Abstract

Tumor necrosis is one of the indicators of tumor aggressiveness. (18)F-fluoromisonidazole (FMISO) is the most widely used positron emission tomography (PET) tracer to evaluate severe hypoxia in vivo. Because severe hypoxia causes necrosis, we hypothesized that intratumoral necrosis can be detected by FMISO PET in brain tumors regardless of their histopathology. We applied FMISO PET to various types of brain tumors before tumor resection and evaluated the correlation between histopathological necrosis and FMISO uptake. This study included 59 brain tumor patients who underwent FMISO PET/computed tomography before any treatments. According to the pathological diagnosis, the brain tumors were divided into three groups: astrocytomas (group 1), neuroepithelial tumors except for astrocytomas (group 2), and others (group 3). Two experienced neuropathologists evaluated the presence of necrosis in consensus. FMISO uptake in the tumor was evaluated visually and semi-quantitatively using the tumor-to-normal cerebellum ratio (TNR). In visual analyses, 26/27 cases in the FMISO-positive group presented with necrosis, whereas 28/32 cases in the FMISO-negative group did not show necrosis. Mean TNRs with and without necrosis were 3.49 ± 0.97 and 1.43 ± 0.42 (p < 0.00001) in group 1, 2.91 ± 0.83 and 1.44 ± 0.20 (p < 0.005) in group 2, and 2.63 ± 1.16 and 1.35 ± 0.23 (p < 0.05) in group 3, respectively. Using a cut-off value of TNR = 1.67, which was calculated by normal reference regions of interest, we could predict necrosis with sensitivity, specificity, and accuracy of 96.7, 93.1, and 94.9 %, respectively. FMISO uptake within the lesion indicated the presence of histological micro-necrosis. When we used a TNR of 1.67 as the cut-off value, intratumoral micro-necrosis was sufficiently predictable. Because the presence of necrosis implies a poor prognosis, our results suggest that FMISO PET could provide important information for treatment decisions or surgical strategies of any type of brain tumor.

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Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 5 13%
Student > Bachelor 5 13%
Student > Doctoral Student 4 10%
Other 4 10%
Researcher 3 8%
Other 8 21%
Unknown 10 26%
Readers by discipline Count As %
Medicine and Dentistry 13 33%
Neuroscience 3 8%
Agricultural and Biological Sciences 2 5%
Computer Science 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 7 18%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 February 2016.
All research outputs
#21,153,429
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#2,610
of 3,083 outputs
Outputs of similar age
#338,042
of 401,037 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#44
of 55 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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