Ravanelli, M;
Agazzi, GM;
Ganeshan, B;
Roca, E;
Tononcelli, E;
Bettoni, V;
Caprioli, A;
... Farina, D; + view all
(2018)
CT texture analysis as predictive factor in metastatic lung adenocarcinoma treated with tyrosine kinase inhibitors (TKIs).
European Journal of Radiology
, 109
pp. 130-135.
10.1016/j.ejrad.2018.10.016.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | CT texture analysis as predictive factor in metastatic lung adenocarcinoma treated with tyrosine kinase inhibitors (TKIs) |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.ejrad.2018.10.016 |
| Publisher version: | https://doi.org/10.1016/j.ejrad.2018.10.016 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Protein kinase inhibitors, Receptor, Epidermal growth factor, Carcinoma, Non small cell lung, Adenocarcinoma, Texture analysis, Tomography, X-ray computed, Progression-free survival, Prognosis |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10061346 |
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