並列タイトル等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
一般注記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
DOIinfo:doi/10.1007/s11604-017-0711-2
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