CT texture analysis: a potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib. Issue 1 (December 2017)
- Record Type:
- Journal Article
- Title:
- CT texture analysis: a potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib. Issue 1 (December 2017)
- Main Title:
- CT texture analysis: a potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib
- Authors:
- Haider, Masoom
Vosough, Alireza
Khalvati, Farzad
Kiss, Alexander
Ganeshan, Balaji
Bjarnason, Georg - Abstract:
- Abstract Background To assess CT texture based quantitative imaging biomarkers in the prediction of progression free survival (PFS) and overall survival (OS) in patients with clear cell renal cell carcinoma undergoing treatment with Sunitinib. Methods In this retrospective study, measurable lesions of 40 patients were selected based on RECIST criteria on standard contrast enhanced CT before and 2 months after treatment with Sunitinib. CT Texture analysis was performed using TexRAD research software (TexRAD Ltd, Cambridge, UK). Using a Cox regression model, correlation of texture parameters with measured time to progression and overall survival were assessed. Evaluation of combined International Metastatic Renal-Cell Carcinoma Database Consortium Model (IMDC) score with texture parameters was also performed. Results Size normalized standard deviation (nSD) alone at baseline and follow-up after treatment was a predictor of OS (Hazard ratio (HR) = 0.01 and 0.02; 95% confidence intervals (CI): 0.00 – 0.29 and 0.00 – 0.39;p = 0.01 and 0.01). Entropy following treatment and entropy change before and after treatment were both significant predictors of OS (HR = 2.68 and 87.77; 95% CI = 1.14 – 6.29 and 1.26 – 6115.69;p = 0.02 andp = 0.04). nSD was also a predictor of PFS at baseline and follow-up (HR = 0.01 and 0.01: 95% CI: 0.00 – 0.31 and 0.001 – 0.22;p = 0.01 andp = 0.003). When nSD at baseline or at follow-up was combined with IMDC, it improved the association with OS andAbstract Background To assess CT texture based quantitative imaging biomarkers in the prediction of progression free survival (PFS) and overall survival (OS) in patients with clear cell renal cell carcinoma undergoing treatment with Sunitinib. Methods In this retrospective study, measurable lesions of 40 patients were selected based on RECIST criteria on standard contrast enhanced CT before and 2 months after treatment with Sunitinib. CT Texture analysis was performed using TexRAD research software (TexRAD Ltd, Cambridge, UK). Using a Cox regression model, correlation of texture parameters with measured time to progression and overall survival were assessed. Evaluation of combined International Metastatic Renal-Cell Carcinoma Database Consortium Model (IMDC) score with texture parameters was also performed. Results Size normalized standard deviation (nSD) alone at baseline and follow-up after treatment was a predictor of OS (Hazard ratio (HR) = 0.01 and 0.02; 95% confidence intervals (CI): 0.00 – 0.29 and 0.00 – 0.39;p = 0.01 and 0.01). Entropy following treatment and entropy change before and after treatment were both significant predictors of OS (HR = 2.68 and 87.77; 95% CI = 1.14 – 6.29 and 1.26 – 6115.69;p = 0.02 andp = 0.04). nSD was also a predictor of PFS at baseline and follow-up (HR = 0.01 and 0.01: 95% CI: 0.00 – 0.31 and 0.001 – 0.22;p = 0.01 andp = 0.003). When nSD at baseline or at follow-up was combined with IMDC, it improved the association with OS and PFS compared to IMDC alone. Conclusion Size normalized standard deviation from CT at baseline and follow-up scans is correlated with OS and PFS in clear cell renal cell carcinoma treated with Sunitinib. … (more)
- Is Part Of:
- Cancer imaging. Volume 17:Issue 1(2017)
- Journal:
- Cancer imaging
- Issue:
- Volume 17:Issue 1(2017)
- Issue Display:
- Volume 17, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 17
- Issue:
- 1
- Issue Sort Value:
- 2017-0017-0001-0000
- Page Start:
- 1
- Page End:
- 9
- Publication Date:
- 2017-12
- Subjects:
- Prediction of outcome -- Metastatic clear cell carcinoma -- Quantitative imaging biomarkers -- CT image features -- CT texture analysis
Cancer -- Imaging -- Periodicals
616.994075405 - Journal URLs:
- http://www.cancerimagingjournal.com/ ↗
http://www.cancerimaging.org/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/315/ ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s40644-017-0106-8 ↗
- Languages:
- English
- ISSNs:
- 1740-5025
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 10127.xml