Literature DB >> 26142739

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

Takashi Tanaka1, Takayoshi Shinya2, Shuhei Sato2, Toshiharu Mitsuhashi3, Koichi Ichimura4, Junichi Soh5, Shinichi Toyooka5, Mitsumasa Kaji6, Shinichiro Miyoshi5, Susumu Kanazawa2.   

Abstract

OBJECTIVE: To evaluate the relevance of high-resolution computed tomography (HRCT) findings and fluorine-18-fluorodeoxyglucose ((18)F-FDG) uptake for risk stratification of visceral pleural invasion by lung adenocarcinoma.
METHODS: The HRCT findings and (18)F-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 (SUV max) were recorded for each patient. Multivariate logistic regression was used for statistical analysis, and subgroup analysis stratified for whole tumor size ≤ 3 cm was also performed.
RESULTS: Multivariate analysis showed that SUV max [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], SUV max alone (Az 0.815) was useful in predicting visceral pleural invasion. In the subgroup analysis, multivariate analysis showed that SUV max (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 SUV max alone (Az 0.844) showed similar diagnostic performance to the multivariate models (Az 0.845-0.857).
CONCLUSIONS: SUV max alone and multivariate models including SUV max are useful for the prediction of visceral pleural invasion by lung adenocarcinoma.

Entities:  

Keywords:  18F-FDG; HRCT; Lung adenocarcinoma; PET/CT; Visceral pleural invasion

Mesh:

Substances:

Year:  2015        PMID: 26142739     DOI: 10.1007/s12149-015-0999-x

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  5 in total

Review 1.  Prediction of pleural invasion using different imaging tools in non-small cell lung cancer.

Authors:  Jhih-Hao Bai; Min-Shu Hsieh; Hsien-Chi Liao; Mong-Wei Lin; Jin-Shing Chen
Journal:  Ann Transl Med       Date:  2019-01

2.  Visceral Pleural Invasion in Pulmonary Adenocarcinoma: Differences in CT Patterns between Solid and Subsolid Cancers.

Authors:  Benedikt H Heidinger; Ursula Schwarz-Nemec; Kevin R Anderson; Constance de Margerie-Mellon; Antonio C Monteiro Filho; Yigu Chen; Marius E Mayerhoefer; Paul A VanderLaan; Alexander A Bankier
Journal:  Radiol Cardiothorac Imaging       Date:  2019-08-29

3.  Diagnosis of visceral pleural invasion using confocal laser endomicroscopy during lung cancer surgery.

Authors:  Toru Sawada; Hiromitsu Takizawa; Mariko Aoyama; Naoya Kawakita; Naoki Miyamoto; Shinichi Sakamoto; Mika Takashima; Daisuke Matsumoto; Hiroaki Toba; Yukikiyo Kawakami; Mitsuteru Yoshida; Kazuya Kondo; Akira Tangoku
Journal:  J Thorac Dis       Date:  2021-08       Impact factor: 2.895

4.  Tumor Atelectasis Gives Rise to a Solid Appearance in Pulmonary Adenocarcinomas on High-Resolution Computed Tomography.

Authors:  Francesca Ambrosi; Birgit Lissenberg-Witte; Emile Comans; Ralf Sprengers; Chris Dickhoff; Idris Bahce; Teodora Radonic; Erik Thunnissen
Journal:  JTO Clin Res Rep       Date:  2020-02-27

5.  Prediction of Pleural Invasion in Challenging Non-Small-Cell Lung Cancer Patients Using Serum and Imaging Markers.

Authors:  Kaibin Zhu; Lantao Chen; Changjun He; Yaoguo Lang; Xianglong Kong; Changfa Qu; Shidong Xu
Journal:  Dis Markers       Date:  2020-02-07       Impact factor: 3.434

  5 in total

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