Radiomics analysis of [18F]-fluoro-2-deoxyglucose positron emission tomography for the prediction of cervical lymph node metastasis in tongue squamous cell carcinoma

• Material Type: 博士論文
• Title: Radiomics analysis of [18F]-fluoro-2-deoxyglucose positron emission tomography for the prediction of cervical lymph node metastasis in tongue squamous cell carcinoma
• Author/Editor: Kudoh, Takaharu; Haga, Akihiro; Kudoh, Keiko; Takahashi, Akira; Sasaki, Motoharu; Kudo, Yasusei; Ikushima, Hitoshi; Miyamoto, Youji
• Author Heading: Kudoh, Takaharu; Haga, Akihiro; Kudoh, Keiko; Takahashi, Akira; Sasaki, Motoharu; Kudo, Yasusei; Ikushima, Hitoshi; Miyamoto, Youji
• Publication, Distribution, etc.: Japanese Society for Oral and Maxillofacial Radiology|Springer Nature
• Publication Date: 2022-03-07
• Publication Date (W3CDTF): 2022-03-07
• Alternative Title: PETを用いたレディオミクス解析による舌扁平上皮癌の頸部リンパ節転移の予測
• Degree grantor/type: 徳島大学
• Date Granted: 2022-07-15
• Date Granted (W3CDTF): 2022-07-15
• Dissertation Number: 甲第3643号
• Degree Type: 博士（歯学）
• Text Language Code: eng
• Subject Heading: Tongue squamous cell carcinoma; Cervical lymph node metastasis; Radiomics; [18F]-fluoro-2-deoxyglucose; Positron emission tomography
• Target Audience: 一般
• Note (General): ObjectivesThis study aimed to create a predictive model for cervical lymph node metastasis (CLNM) in patients with tongue squamous cell carcinoma (SCC) based on radiomics features detected by [18F]-fluoro-2-deoxyglucose (18F-FDG) positron emission tomography (PET).MethodsA total of 40 patients with tongue SCC who underwent 18F-FDG PET imaging during their first medical examination were enrolled. During the follow-up period (mean 28 months), 20 patients had CLNM, including six with late CLNM, whereas the remaining 20 patients did not have CLNM. Radiomics features were extracted from 18F-FDG PET images of all patients irrespective of metal artifact, and clinicopathological factors were obtained from the medical records. Late CLNM was defined as the CLNM that occurred after major treatment. The least absolute shrinkage and selection operator (LASSO) model was used for radiomics feature selection and sequential data fitting. The receiver operating characteristic curve analysis was used to assess the predictive performance of the 18F-FDG PET-based model and clinicopathological factors model (CFM) for CLNM.ResultsSix radiomics features were selected from LASSO analysis. The average values of the area under the curve (AUC), accuracy, sensitivity, and specificity of radiomics analysis for predicting CLNM from 18F-FDG PET images were 0.79, 0.68, 0.65, and 0.70, respectively. In contrast, those of the CFM were 0.54, 0.60, 0.60, and 0.60, respectively. The 18F-FDG PET-based model showed significantly higher AUC than that of the CFM.ConclusionsThe 18F-FDG PET-based model has better potential for diagnosing CLNM and predicting late CLNM in patients with tongue SCC than the CFM.
• Persistent ID (NDL): info:ndljp/pid/12769104; https://dl.ndl.go.jp/pid/12769104
• Collection: 障害者向け資料
• Collection (Materials For Handicapped People:1): テキストデータ
• Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文; https://dl.ndl.go.jp/collections/A00014
• Acquisition Basis: 博士論文（自動収集）
• Date Accepted (W3CDTF): 2023-04-07T23:08:38+09:00
• Format (IMT): application/pdf
• Access Restrictions: 国立国会図書館内限定公開
• Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
• Availability of remote photoduplication service: 可
• Periodical Title (URI): http://repo.lib.tokushima-u.ac.jp/116770
• Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp