Papers

Feb, 2018

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

Japanese journal of radiology
  • Takuya Yagi
  • ,
  • Motohiko Yamazaki
  • ,
  • Riuko Ohashi
  • ,
  • Rei Ogawa
  • ,
  • Hiroyuki Ishikawa
  • ,
  • Norihiko Yoshimura
  • ,
  • Masanori Tsuchida
  • ,
  • Yoichi Ajioka
  • ,
  • Hidefumi Aoyama

Volume
36
Number
2
First page
113
Last page
121
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1007/s11604-017-0711-2

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.

Link information
DOI
https://doi.org/10.1007/s11604-017-0711-2
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/29273964
ID information
  • DOI : 10.1007/s11604-017-0711-2
  • Pubmed ID : 29273964

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