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

被引:51
作者
Yagi, Takuya [1 ]
Yamazaki, Motohiko [1 ]
Ohashi, Riuko [2 ]
Ogawa, Rei [1 ]
Ishikawa, Hiroyuki [1 ]
Yoshimura, Norihiko [1 ]
Tsuchida, Masanori [3 ]
Ajioka, Yoichi [4 ]
Aoyama, Hidefumi [1 ]
机构
[1] Niigata Univ, Grad Sch Med & Dent Sci, Dept Radiol & Radiat Oncol, Chuo Ku, 1-757 Asahimachi Dori, Niigata 9518510, Japan
[2] Niigata Univ, Fac Med, Histopathol Core Facil, Niigata, Japan
[3] Niigata Univ, Grad Sch Med & Dent Sci, Div Thorac & Cardiovasc Surg, Niigata, Japan
[4] Niigata Univ, Grad Sch Med & Dent Sci, Div Mol & Diagnost Pathol, Niigata, Japan
关键词
Ground-glass nodule; Adenocarcinoma in situ; Minimally invasive adenocarcinoma; Texture analysis; High-resolution computed tomography; THIN-SECTION CT; COMPUTED-TOMOGRAPHY; TUMOR HETEROGENEITY; PREINVASIVE-LESIONS; DIFFERENTIATION; ASSOCIATION; FEATURES; OPACITY; IMAGE;
D O I
10.1007/s11604-017-0711-2
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
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页码:113 / 121
页数:9
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