CT texture analysis as predictive factor in metastatic lung adenocarcinoma treated with tyrosine kinase inhibitors (TKIs)

被引:24
作者
Ravanelli, Marco [1 ]
Agazzi, Giorgio M. [1 ]
Ganeshan, Balaji [2 ]
Roca, Elisa [3 ]
Tononcelli, Elena [1 ]
Bettoni, Valeria [1 ]
Caprioli, Alberto [4 ]
Borghesi, Andrea [1 ]
Berruti, Alfredo [3 ]
Maroldi, Roberto [1 ]
Farina, Davide [1 ]
机构
[1] Univ Brescia, Dept Radiol, Piazzale Spedali Civili 1, I-25123 Brescia, Italy
[2] UCL, Inst Nucl Med, London, England
[3] Univ Brescia, Dept Oncol, Piazzale Spedali Civili 1, I-25123 Brescia, Italy
[4] Univ Brescia, Dept Pneumol, Piazzale Spedali Civili 1, I-25123 Brescia, Italy
关键词
Protein kinase inhibitors; Receptor; Epidermal growth factor; Carcinoma; Non small cell lung; Adenocarcinoma; Texture analysis; Tomography; X-ray computed; Progression-free survival; Prognosis; CHEMOTHERAPY-NAIVE PATIENTS; TUMOR HETEROGENEITY; PHASE-II; CANCER; GROWTH; MUTATIONS; GEFITINIB; NSCLC; SELECTION;
D O I
10.1016/j.ejrad.2018.10.016
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 assess the predictive and prognostic value of pre-treatment CT texture features in lung adenocarcinoma treated with tyrosine kinase inhibitors (TKI). Materials and Methods: Texture analysis was performed using commercially available software (TexRAD Ltd, Cambridge, UK) on pre-treatment contrast-enhanced CT studies from 50 patients with metastatic lung adenocarcinoma treated by TKI. Texture features were quantified on a 5-mm-thick central slice of the primary tumor and were correlated with progression-free and overall survival (PFS and OS) using an internally cross-validated machine learning approach then validated on a bootstrapped sample. Results: Median PFS and OS were 10.5 and 20.7 months, respectively. A noninvasive signature based on five texture parameters predicted 6-month progression with Area Under the Curve (AUC) of 0.8 (95% CI) and 1-year progression with AUC of 0.76. A high-risk group had hazard ratios for progression of 4.63 and 5.78 when divided by median and best cut-off points, respectively. Texture signature did not correlate with OS. Available clinical variables did not correlate with PFS or with OS. Conclusion: Texture features seem to be associated with PFS in lung adenocarcinoma treated with TKI.
引用
收藏
页码:130 / 135
页数:6
相关论文
共 49 条
  • [1] Targeting EGFR activity in blood vessels is sufficient to inhibit tumor growth and is accompanied by an increase in VEGFR-2 dependence in tumor endothelial cells
    Amin, Dhara N.
    Bielenberg, Diane R.
    Lifshits, Eugene
    Heymach, John V.
    Klagsbrun, Michael
    [J]. MICROVASCULAR RESEARCH, 2008, 76 (01) : 15 - 22
  • [2] Amin Mahul B., 2017, AM JOINT COMMITTEE C
  • [3] [Anonymous], 2016, Cancer Facts and Figures
  • [4] [Anonymous], 1975, Cancer Statistics Review
  • [5] Detection and Clinical Significance of Intratumoral EGFR Mutational Heterogeneity in Chinese Patients with Advanced Non-Small Cell Lung Cancer
    Bai, Hua
    Wang, Zhijie
    Wang, Yuyan
    Zhuo, Minglei
    Zhou, Qinghua
    Duan, Jianchun
    Yang, Lu
    Wu, Meina
    An, Tongtong
    Zhao, Jun
    Wang, Jie
    [J]. PLOS ONE, 2013, 8 (02):
  • [6] Evaluation of Shape and Textural Features from CT as Prognostic Biomarkers in Non-small Cell Lung Cancer
    Bianconi, Francesco
    Fravolini, Mario Luca
    Bello-Cerezo, Raquel
    Minestrini, Matteo
    Scialpi, Michele
    Palumbo, Barbara
    [J]. ANTICANCER RESEARCH, 2018, 38 (04) : 2155 - 2160
  • [7] Description of health problem
    Brown, T.
    Pilkington, G.
    Bagust, A.
    Boland, A.
    Oyee, J.
    Smith, C. Tudur
    Blundell, M.
    Lai, M.
    Saborido, C. Martin
    Greenhalgh, J.
    Dundar, Y.
    Dickson, R.
    [J]. HEALTH TECHNOLOGY ASSESSMENT, 2013, 17 (31) : 1 - +
  • [8] Chang AY, 2008, EXPERT OPIN INV DRUG, V17, P401, DOI [10.1517/13543784.17.3.401, 10.1517/13543784.17.3.401 ]
  • [9] Chen S., 2016, REPRODUCIBILITY CT T
  • [10] Quantitative CT Variables Enabling Response Prediction in Neoadjuvant Therapy with EGFR-TKIs: Are They Different from Those in Neoadjuvant Concurrent Chemoradiotherapy?
    Chong, Yousun
    Kim, Jae-Hun
    Lee, Ho Yun
    Ahn, Yong Chan
    Lee, Kyung Soo
    Ahn, Myung-Ju
    Kim, Jhingook
    Shim, Young Mog
    Han, Joungho
    Choi, Yoon-La
    [J]. PLOS ONE, 2014, 9 (02):