フククラ　ヨシヒコ   Yoshihiko Fukukura   福倉　良彦    所属   川崎医科大学  医学部 臨床医学　機能・代謝画像診断学    職種   教授
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Texture analysis of FDG PET/CT for differentiating between FDG-avid benign and metastatic adrenal tumors: efficacy of combining SUV and texture parameters.
掲載誌名	正式名：Abdominal radiology (New York) 略　 称：Abdom Radiol (NY) ISSNコード：23660058
掲載区分	国外
巻・号・頁	42(12),pp.2882-2889
著者・共著者	Masatoyo Nakajo, Megumi Jinguji, Masayuki Nakajo, Tetsuya Shinaji, Yoshiaki Nakabeppu, Yoshihiko Fukukura, Takashi Yoshiura
発行年月	2017/12
概要	PURPOSE:To retrospectively investigate the SUV-related and texture parameters individually and in combination for differentiating between F-18-fluorodeoxyglucose (FDG)-avid benign and metastatic adrenal tumors with PET/CT.METHODS:Thirteen benign adrenal tumors (BATs) and 22 metastatic adrenal tumors (MATs) with a metabolic tumor volume (MTV) > 10.0 cm3 and SUV ≥ 2.5 were included. SUVmax, MTV, total lesion glycolysis, and four textural parameters [entropy, homogeneity, intensity variability (IV), and size-zone variability] were obtained. These parameters were compared between BATs and MATs using Mann-Whitney U test, and the diagnostic performance was evaluated by the area under the curve (AUC) values derived from the receiver operating characteristic analysis. The diagnostic value of combining SUV and texture parameters was examined using a scoring system.RESULTS:MATs showed significantly higher SUVmax (p = 0.004), entropy (p = 0.013), IV (p = 0.006), and lower homogeneity (p = 0.019) than BATs. The accuracies for diagnosing MATs were 82.9, 82.9, 85.7, and 71.4% for SUVmax, entropy, IV, and homogeneity, respectively. No significant differences in AUC were found among these parameters (p > 0.05 each). When each parameter was scored as 0 (negative for malignancy) and 1 (positive for malignancy) according to each threshold criterion and the four parameter summed scores 0, 1, and 2 were defined as benignity and 3 and 4 as malignancy, the sensitivity and specificity and accuracy to predict MATs were 100% (22/22), 84.6% (11/13), and 94.3% (33/35), respectively, with 0.97 of the AUC.CONCLUSION:The combined use of SUVmax and texture parameters has a potential to significantly increase the diagnostic performance to differentiate between large FDG-avid BATs and MATs.
DOI	10.1007/s00261-017-1207-3
PMID	28612161