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Cited by 176Advanced Neuroimaging Techniques and ApplicationsMRI in cancer diagnosisGlioma Diagnosis and Treatment

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Fractional anisotropy and tumor cell density of the tumor core show positive correlation in diffusion tensor magnetic resonance imaging of malignant brain tumors

Kinoshita, Manabu, Hashimoto, Naoya, Goto, Tetsu, Kagawa, Naoki, Kishima, Haruhiko, Izumoto, Shuichi, Tanaka, Hisashi, Fujita, Norihiko, Yoshimine, Toshiki·2008·NeuroImage
DOI 10.1016/j.neuroimage.2008.06.041
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Abstract

A noninvasive technique for assessing tumor tissue characteristics is required to assist preoperative surgical planning for malignant brain tumors. Preoperative information on tumor cell density within a tumor would help better define the target for tumor biopsy, resulting in more accurate diagnosis and grading of malignant brain tumors. One possible source of this information is diffusion tensor imaging (DTI), although to date studies have focused on its ability to delineate white matter fiber tracks by fiber-tracking and to detect tumor infiltration around the tumor and normal white matter interface. However, the use of DTI for providing information on cell density has also been examined, although with the controversial results. In addition the exact relationships between cell density and the two key values that DTI provides, namely fractional anisotropy (FA) and mean diffusivity (MD), still need to be investigated. In the present study we performed a retrospective investigation of tumor cell density and FA and MD values in biopsy cases. We found that FA has a good positive correlation (R=0.75) and MD has a good negative correlation (R=0.70) with tumor cell density within the tumor core. Similar correlation was observed between the Ki-67 labeling index and FA (R=0.71) and MD (R=0.62). Thus, measurement of both FA and MD within the tumor core has a potential to provide detailed information on tumor cell density within the tumor. Although data obtained from DTI should be interpreted carefully and comprehensively with other imaging modalities such as positron emission tomography, DTI seems to be informative for planning the best biopsy target containing the highest cell density.

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Metadata

Authors
Kinoshita, M., Hashimoto, N., Goto, T., Kagawa, N., Kishima, H., Izumoto, S., Tanaka, H., Fujita, N., & Yoshimine, T.
Affiliations
The University of Osaka (JP)
Corresponding author
Kinoshita, Manabu
ORCID
Venue
NeuroImage
Publisher
Elsevier BV
Published
2008-10
Volume
43
Issue
1
Pages
29-35
ISSN
1053-8119 (ISSN-L)
DOI
10.1016/j.neuroimage.2008.06.041
OpenAlex
W2057822953
Cited by
176
References
28
Citations by year
2026: 7 · 2025: 6 · 2024: 11 · 2023: 10 · 2022: 5 · 2021: 10 · 2020: 3 · 2019: 4 · 2018: 11 · 2017: 6 · 2016: 17 · 2015: 17 · 2014: 15 · 2013: 9 · 2012: 7
FWCI
9.73
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
Funders
Ministry of Education, Culture, Sports, Science and Technology (18591589, 19790997)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
  • Health Sciences › Medicine › Oncology › Glioma Diagnosis and Treatment
Keywords
fractional anisotropy, mean diffusivity, tumor cell density, malignant brain tumors, tumor core, diffusion tensor imaging, Ki-67 proliferation index, tumor grading, surgical planning
MeSH terms
Adult, Aged, Algorithms, Brain Neoplasms, Cell Count, Child, Child, Preschool, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Male, Middle Aged, Sensitivity and Specificity, Statistics as Topic, Reproducibility of Results, Anisotropy, Diffusion Magnetic Resonance Imaging

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