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Preoperative Texture Analysis Using C-11-Methionine Positron Emission Tomography Predicts Survival after Surgery for Glioma

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Title: Preoperative Texture Analysis Using C-11-Methionine Positron Emission Tomography Predicts Survival after Surgery for Glioma
Authors: Manabe, Osamu Browse this author
Yamaguchi, Shigeru Browse this author
Hirata, Kenji Browse this author →KAKEN DB
Kobayashi, Kentaro Browse this author
Kobayashi, Hiroyuki Browse this author
Terasaka, Shunsuke Browse this author
Toyonaga, Takuya Browse this author
Magota, Keiichi Browse this author
Kuge, Yuji Browse this author
Tamaki, Nagara Browse this author
Shiga, Tohru Browse this author
Kudo, Kohsuke Browse this author
Keywords: methionine
positron emission tomography
glioma
texture analysis
prognosis
Issue Date: Feb-2021
Publisher: MDPI
Journal Title: Diagnostics
Volume: 11
Issue: 2
Start Page: 189
Publisher DOI: 10.3390/diagnostics11020189
Abstract: Background: Positron emission tomography with C-11-methionine (MET) is well established in the diagnostic work-up of malignant brain tumors. Texture analysis is a novel technique for extracting information regarding relationships among surrounding voxels, in order to quantify their inhomogeneity. This study evaluated whether the texture analysis of MET uptake has prognostic value for patients with glioma. Methods: We retrospectively analyzed adults with glioma who had undergone preoperative metabolic imaging at a single center. Tumors were delineated using a threshold of 1.3-fold of the mean standardized uptake value for the contralateral cortex, and then processed to calculate the texture features in glioma. Results: The study included 42 patients (median age: 56 years). The World Health Organization classifications were grade II (7 patients), grade III (17 patients), and grade IV (18 patients). Sixteen (16.1%) all-cause deaths were recorded during the median follow-up of 18.8 months. The univariate analyses revealed that overall survival (OS) was associated with age (hazard ratio (HR) 1.04, 95% confidence interval (CI) 1.01-1.08, p = 0.0093), tumor grade (HR 3.64, 95% CI 1.63-9.63, p = 0.0010), genetic status (p < 0.0001), low gray-level run emphasis (LGRE, calculated from the gray-level run-length matrix) (HR 2.30 x 10(11), 95% CI 737.11-4.23 x 10(19), p = 0.0096), and correlation (calculated from the gray-level co-occurrence matrix) (HR 5.17, 95% CI 1.07-20.93, p = 0.041). The multivariate analyses revealed OS was independently associated with LGRE and correlation. The survival curves were also significantly different (both log-rank p < 0.05). Conclusion: Textural features obtained using preoperative MET positron emission tomography may compliment the semi-quantitative assessment for prognostication in glioma cases.
Rights: https://creativecommons.org/licenses/by/4.0/
Type: article
URI: http://hdl.handle.net/2115/81368
Appears in Collections:医学院・医学研究院 (Graduate School of Medicine / Faculty of Medicine) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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