Fractional anisotropy value by diffusion tensor magnetic resonance imaging as a predictor of cell density and proliferation activity of glioblastomas
Abstract
Background In vivo, water diffusion displays directionality due to presence of complex microstructural barriers in tissue. The extent of directionality of water diffusion can be expressed as a fractional anisotropy (FA) value using diffusion tensor magnetic resonance imaging (DTI). The FA value has been suggested as an indicator of the cell density of astrocytic tumors. The aim of the present study was to confirm beyond doubt that FA values indicate cell density even when limited in glioblastomas and to determine whether the FA value of a given patient predicts proliferation activity in the individual glioblastoma.Methods We performed DTI in 19 patients with glioblastoma and measured the FA values of tumor and normal brain regions prior to computed tomography-guided stereotactic biopsy. Differences in mean FA value between normal brain regions and glioblastoma lesion were compared. Cell density and MIB-1 indices were examined using tumor specimens obtained from biopsies. Correlation among FA values, cell density, and MIB-1 indices was also evaluated.Results The mean FA value significantly differed between normal brain regions and glioblastoma lesions. Positive correlation was observed between FA value and cell density (r = 0.73, P < 0.05) and between FA value and MIB-1 index (r = 0.80, P < 0.05).Conclusions Our results suggest that the FA value of glioblastoma as determined by DTI prior to surgery is a good predictor of cell density and, consequently, proliferation activity.
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Prior studies indicate that FA can predict cell number and tissue density, and that higher FA may reflect greater tissue integrity.
“Some studies showed that FA can predict cell number and tissue density (60,61) and that higher FA could indicate greater tissue integrity.”
From Neuroanatomic differences associated with stress susceptibility and resilience (2016) · cites this paper as [60]
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- Authors
- Beppu, T., Inoue, T., Shibata, Y., Yamada, N., Kurose, A., Ogasawara, K., Ogawa, A., & Kabasawa, H.
- Affiliations
- Iwate Medical University (JP)
- GE HealthCare (Japan) (JP)
- Corresponding author
- Beppu, Takaaki
- Venue
- Surgical Neurology
- Publisher
- Elsevier BV
- Published
- 2005-01
- Volume
- 63
- Issue
- 1
- Pages
- 56-61
- ISSN
- 0090-3019 (ISSN-L)
- OpenAlex
- W2036444310
- Cited by
- 161
- References
- 26
- Citations by year
- 2025: 2 · 2024: 8 · 2023: 1 · 2022: 3 · 2021: 9 · 2020: 4 · 2019: 10 · 2018: 13 · 2017: 7 · 2016: 13 · 2015: 12 · 2014: 11 · 2013: 5 · 2012: 3
- FWCI
- 6.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Surgical Neurology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Genetics › Glioma Diagnosis and Treatment
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
- Keywords
- glioblastoma, fractional anisotropy, diffusion tensor imaging, cell density, tumor cell proliferation, MIB-1 labeling index, stereotactic biopsy, preoperative prediction
- MeSH terms
- Adult, Aged, Body Water, Brain, Brain Neoplasms, Diffusion, Female, Glioblastoma, Humans, Male, Middle Aged, Predictive Value of Tests, Prognosis, Anisotropy, Diffusion Magnetic Resonance Imaging, Cell Proliferation
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