Open Access

Influence of region‑of‑interest designs on quantitative measurement of multimodal imaging of MR non‑enhancing gliomas

  • Authors:
    • Koji Takano
    • Manabu Kinoshita
    • Hideyuki Arita
    • Yoshiko Okita
    • Yasuyoshi Chiba
    • Naoki Kagawa
    • Yoshiyuki Watanabe
    • Eku Shimosegawa
    • Jun Hatazawa
    • Naoya Hashimoto
    • Yasunori Fujimoto
    • Haruhiko Kishima
  • View Affiliations

  • Published online on: March 22, 2018     https://doi.org/10.3892/ol.2018.8319
  • Pages: 7934-7940
  • Copyright: © Takano et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

A number of studies have revealed the usefulness of multimodal imaging in gliomas. Although the results have been heavily affected by the method used for region of interest (ROI) design, the most discriminatory method for setting the ROI remains unclear. The aim of the present study was to determine the most suitable ROI design for 18F‑fluorodeoxyglucose (FDG) and 11C‑methionine (MET) positron emission tomography (PET), apparent diffusion coefficient (ADC), and fractional anisotropy (FA) obtained by diffusion tensor imaging (DTI) from the viewpoint of grades of non‑enhancing gliomas. A total of 31 consecutive patients with newly diagnosed, histologically confirmed magnetic resonance (MR) non‑enhancing gliomas who underwent FDG‑PET, MET‑PET and DTI were retrospectively investigated. Quantitative measurements were performed using four different ROIs; hotspot/tumor center and whole tumor, constructed in either two‑dimensional (2D) or three‑dimensional (3D). Histopathological grading of the tumor was considered as empirical truth and the quantitative measurements obtained from each ROI was correlated with the grade of the tumor. The most discriminating ROI for non‑enhancing glioma grading was different according to the different imaging modalities. 2D‑hotspot/center ROI was most discriminating for FDG‑PET (P=0.087), ADC map (P=0.0083), and FA map (P=0.25), whereas 3D‑whole tumor ROI was best for MET‑PET (P=0.0050). In the majority of scenarios, 2D‑ROIs performed better than 3D‑ROIs. Results from the image analysis using FDG‑PET, MET‑PET, ADC and FA may be affected by ROI design and the most discriminating ROI for non‑enhancing glioma grading was different according to the imaging modality.
View Figures
View References

Related Articles

Journal Cover

May-2018
Volume 15 Issue 5

Print ISSN: 1792-1074
Online ISSN:1792-1082

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Takano K, Kinoshita M, Arita H, Okita Y, Chiba Y, Kagawa N, Watanabe Y, Shimosegawa E, Hatazawa J, Hashimoto N, Hashimoto N, et al: Influence of region‑of‑interest designs on quantitative measurement of multimodal imaging of MR non‑enhancing gliomas. Oncol Lett 15: 7934-7940, 2018.
APA
Takano, K., Kinoshita, M., Arita, H., Okita, Y., Chiba, Y., Kagawa, N. ... Kishima, H. (2018). Influence of region‑of‑interest designs on quantitative measurement of multimodal imaging of MR non‑enhancing gliomas. Oncology Letters, 15, 7934-7940. https://doi.org/10.3892/ol.2018.8319
MLA
Takano, K., Kinoshita, M., Arita, H., Okita, Y., Chiba, Y., Kagawa, N., Watanabe, Y., Shimosegawa, E., Hatazawa, J., Hashimoto, N., Fujimoto, Y., Kishima, H."Influence of region‑of‑interest designs on quantitative measurement of multimodal imaging of MR non‑enhancing gliomas". Oncology Letters 15.5 (2018): 7934-7940.
Chicago
Takano, K., Kinoshita, M., Arita, H., Okita, Y., Chiba, Y., Kagawa, N., Watanabe, Y., Shimosegawa, E., Hatazawa, J., Hashimoto, N., Fujimoto, Y., Kishima, H."Influence of region‑of‑interest designs on quantitative measurement of multimodal imaging of MR non‑enhancing gliomas". Oncology Letters 15, no. 5 (2018): 7934-7940. https://doi.org/10.3892/ol.2018.8319