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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 \u003c 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.", "subitem_description_type": "Abstract"}]}, "item_6_description_5": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "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", "subitem_description_type": "Other"}, {"subitem_description": "Japanese Journal of Radiology. 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HRCT texture analysis for pure or part-solid ground-glass nodules : distinguishability of adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma
http://hdl.handle.net/10191/50463
http://hdl.handle.net/10191/50463ae546c5c-9ac8-4cff-a538-7ba09bc8dc4e
名前 / ファイル | ライセンス | アクション |
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本文 (1.5 MB)
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要旨 (675.9 kB)
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Item type | 学位論文 / Thesis or Dissertation(1) | |||||
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公開日 | 2018-12-10 | |||||
タイトル | ||||||
タイトル | HRCT texture analysis for pure or part-solid ground-glass nodules : distinguishability of adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | HRCT texture analysis for pure or part-solid ground-glass nodules : distinguishability of adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Ground-glass nodule | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Adenocarcinoma in situ | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Minimally invasive adenocarcinoma | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Texture analysis | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | High-resolution computed tomography | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_46ec | |||||
タイプ | thesis | |||||
その他のタイトル | ||||||
その他のタイトル | HRCTの定量解析を用いた肺腺癌組織分類の鑑別 | |||||
著者 |
Yagi, Takuya
× Yagi, Takuya |
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著者別名 | ||||||
識別子 | 175322 | |||||
識別子Scheme | WEKO | |||||
姓名 | 八木, 琢也 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 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. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 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 | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Japanese Journal of Radiology. Article first published online: 22 December 2017. | |||||
書誌情報 | p. 1-22, 発行日 2018-03-23 | |||||
出版者 | ||||||
出版者 | 新潟大学 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1007/s11604-017-0711-2 | |||||
著者版フラグ | ||||||
値 | ETD | |||||
学位名 | ||||||
学位名 | 博士(医学) | |||||
学位授与機関 | ||||||
学位授与機関名 | 新潟大学 | |||||
学位授与年月日 | ||||||
学位授与年月日 | 2018-03-23 | |||||
学位授与番号 | ||||||
学位授与番号 | 13101甲第4383号 | |||||
学位記番号 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 新大院博(医)甲第782号 |