Prognostic value of the texture analysis parameters of the initial computed tomographic scan for response to neoadjuvant chemoradiation therapy in patients with locally advanced rectal cancer.
Radiother Oncol
; 135: 153-160, 2019 06.
Article
em En
| MEDLINE
| ID: mdl-31015162
ABSTRACT
BACKGROUND AND PURPOSE:
Baseline contrast-enhanced computed tomography (CT)-derived texture analysis in locally advanced rectal cancer could help offer the best personalized treatment. The purpose of this study was to determine the value of baseline-CT texture analysis in the prediction of downstaging in patients with locally advanced rectal cancer. PATIENTS ANDMETHODS:
We retrospectively included all consecutive patients treated with neoadjuvant chemoradiation therapy (CRT) followed by surgery for locally advanced rectal cancer. Tumor texture analysis was performed on the baseline pre-CRT contrast-enhanced CT examination. Based on the selected model of downstaging with a penalized logistic regression in a training set, a radiomics score (Radscore) was calculated as a linear combination of selected features. A multivariable prognostic model that included Radscore and clinical factors was created.RESULTS:
Of the 121 patients included in the study, 109 patients (90%) had T3-T4 cancer and 99 (82%) had N+ cancer. A downstaging response was observed in 96 patients (79%). In the training set (79 patients), the best model (ELASTIC-NET method) reduced the 36 texture features to a combination of 6 features. The multivariate analysis retained the Radscore (odds ratio [OR]â¯=â¯13.25; 95% confidence interval [95% CI], 4.06-71.64; pâ¯<â¯0.001) and age (ORâ¯=â¯1.10/1 year; 1.03-1.20; pâ¯=â¯0.008) as independent factors. In the test set, the area under the curve was estimated to be 0.70 (95% CI, 0.48-0.92).CONCLUSION:
This study presents a prognostic score for downstaging, from initial computed tomography-derived texture analysis in locally advanced rectal cancer, which may lead to a more personalized treatment for each patient.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Neoplasias Retais
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Tomografia Computadorizada por Raios X
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Quimiorradioterapia
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
França