論文

査読有り
2015年11月

Predicting pleural invasion using HRCT and F-18-FDG PET/CT in lung adenocarcinoma with pleural contact

ANNALS OF NUCLEAR MEDICINE
  • Takashi Tanaka
  • ,
  • Takayoshi Shinya
  • ,
  • Shuhei Sato
  • ,
  • Toshiharu Mitsuhashi
  • ,
  • Koichi Ichimura
  • ,
  • Junichi Soh
  • ,
  • Shinichi Toyooka
  • ,
  • Mitsumasa Kaji
  • ,
  • Shinichiro Miyoshi
  • ,
  • Susumu Kanazawa

29
9
開始ページ
757
終了ページ
765
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s12149-015-0999-x
出版者・発行元
SPRINGER

To evaluate the relevance of high-resolution computed tomography (HRCT) findings and fluorine-18-fluorodeoxyglucose (F-18-FDG) uptake for risk stratification of visceral pleural invasion by lung adenocarcinoma.
The HRCT findings and F-18-FDG uptake for lung adenocarcinomas with pleural contact on CT were retrospectively analyzed in 208 consecutive patients (94 females and 114 males; median age, 69.0 years) between January 2009 and December 2013, with institutional review board approval. The HRCT findings and maximum standardized uptake value (SUVmax) were recorded for each patient. Multivariate logistic regression was used for statistical analysis, and subgroup analysis stratified for whole tumor size a parts per thousand currency sign3 cm was also performed.
Multivariate analysis showed that SUVmax [odds ratio (OR) 1.09, 95 % confidence interval (CI) 1.02-1.16, P = 0.014] and obtuse angle (OR 4.14, 95 % CI 1.97-8.74, P < 0.001) were significant independent predictors for visceral pleural invasion. Receiver operating characteristic (ROC) analysis showed that, compared with the multivariate models [area under the curve (Az) 0.819-0.829], SUVmax alone (Az 0.815) was useful in predicting visceral pleural invasion. In the subgroup analysis, multivariate analysis showed that SUVmax (OR 1.29, 95 % CI 1.12-1.50, P = 0.001) and contact length with the pleura (OR 1.13, 95 % CI 1.05-1.22, P = 0.001) were significant independent predictors for visceral pleural invasion. ROC analysis showed that SUVmax alone (Az 0.844) showed similar diagnostic performance to the multivariate models (Az 0.845-0.857).
SUVmax alone and multivariate models including SUVmax are useful for the prediction of visceral pleural invasion by lung adenocarcinoma.

Web of Science ® 被引用回数 : 11

リンク情報
DOI
https://doi.org/10.1007/s12149-015-0999-x
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/26142739
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000363882000001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1007/s12149-015-0999-x
  • ISSN : 0914-7187
  • eISSN : 1864-6433
  • PubMed ID : 26142739
  • Web of Science ID : WOS:000363882000001

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