HRCT texture analysis for pure or part-solid ground-glass nodules : distinguishability of adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma

• Material Type: 博士論文
• Title: HRCT texture analysis for pure or part-solid ground-glass nodules : distinguishability of adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma
• Author/Editor: Yagi, Takuya
• Publication, Distribution, etc.: 新潟大学
• Publication Date: 2018-03-23
• Publication Date (W3CDTF): 2018-03-23
• Alternative Title: HRCT texture analysis for pure or part-solid ground-glass nodules : distinguishability of adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma; HRCTの定量解析を用いた肺腺癌組織分類の鑑別
• Degree grantor/type: 新潟大学
• Date Granted: 2018-03-23
• Date Granted (W3CDTF): 2018-03-23
• Dissertation Number: 甲第4383号
• Degree Type: 博士（医学）
• Conferring No. (Dissertation): 甲第4383号
• Text Language Code: eng
• Subject Heading: Ground-glass nodule; Adenocarcinoma in situ; Minimally invasive adenocarcinoma; Texture analysis; High-resolution computed tomography
• Note (General): Purpose: To distinguish between adenocarcinoma in situ (AIS) –minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) showing pure or part-solid ground-glass nodules (GGNs) by high-resolution computed tomography (HRCT) texture analysis. Materials and methods: This retrospective study included 101 consecutive patients with 115 pure or part-solid GGNs ≤3-cm diameter, which were surgically resected and pathologically diagnosed with AIS, MIA, or IAC (48 AIS–MIA and 67 IAC) between April 2011 and March 2015. Each tumor was manually segmented on axial CT images, and the following texture features were calculated: volume, mass, mean CT value, variance, skewness, kurtosis, entropy, uniformity, and percentile CT numbers (10th, 25th, 50th, 75th, 90th, 95th percentiles). The differences between AIS–MIA and IAC were statistically evaluated using univariate, multivariate, and receiver operating characteristic analysis. Results: Compared with IAC, AIS-MIA had significantly greater skewness, kurtosis, and uniformity, whereas in the other parameters, AIS-MIA demonstrated significantly lower values than those of IAC. Multivariate analysis revealed that independent differentiators were the 90th percentile CT numbers (P < 0.001) and entropy (P = 0.005) with an excellent accuracy (area under the curve, 0.90). Conclusions: The 90th percentile CT numbers and entropy can accurately distinguish AIS–MIA from IAC.; 学位の種類: 博士（医学）. 報告番号: 甲第4383号. 学位記番号: 新大院博（医）甲第782号. 学位授与年月日: 平成30年3月23日; Japanese Journal of Radiology. Article first published online: 22 December 2017.; 新大院博（医）甲第782号; 開始ページ : 1; 終了ページ : 22
• DOI: info:doi/10.1007/s11604-017-0711-2; https://doi.org/info:doi/10.1007/s11604-017-0711-2
• Persistent ID (NDL): info:ndljp/pid/11216987; https://dl.ndl.go.jp/pid/11216987
• 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): 2019-01-04T08:16:43+09:00
• Date Created (W3CDTF): 2019-08-05
• 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://hdl.handle.net/10191/50463
• 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