CT-based radiomics nomogram may predict local recurrence-free survival in esophageal cancer patients receiving definitive chemoradiation or radiotherapy: A multicenter study.
Radiother Oncol
; 174: 8-15, 2022 09.
Article
em En
| MEDLINE
| ID: mdl-35750106
ABSTRACT
BACKGROUND AND PURPOSE:
To establish and validate a contrast-enhanced computed tomography-based hybrid radiomics nomogram for prediction of local recurrence-free survival (LRFS) in esophageal squamous cell cancer (ESCC) patients receiving definitive (chemo)radiotherapy in a multicenter setting. MATERIALS ANDMETHODS:
This retrospective study included 302 ESCC patients from Xijing Hospital receiving definitive (chemo)radiotherapy, which were randomly assigned to the training (n = 201) and internal validation sets (n = 101). And 74 and 21 ESCC patients from the other two centers were used as the external validation set (n = 95). A hybrid radiomics nomogram was established by integrating clinical factors, radiomic signature and deep-learning signature in training set and was tested in two validation sets.RESULTS:
The deep-learning signature showed better prognostic performance than radiomic signature for predicting LRFS in training (C-index 0.73 vs 0.70), internal (Cindex 0.72 vs 0.64) and external validation sets (C-index 0.72 vs 0.63), which could stratify patients into high and low-risk group with different prognosis (cut-off value -0.06). Low-risk groups had better LRFS than high-risk groups in training (p < 0.0001; 2-y LRFS 71.1% vs 33.0%), internal (p < 0.01; 2-y LRFS 58.8% vs 34.8%) and external validation sets (p < 0.0001; 2-y LRFS 61.9% vs 22.4%), respectively. The hybrid radiomics nomogram established by integrating radiomic signature, deep-learning signature with clinical factors including T stage and concurrent chemotherapy outperformed any one or two combinations in training (C-index 0.82), internal (Cindex 0.78), and external validation sets (C-index 0.76). Calibration curves showed good agreement.CONCLUSIONS:
The hybrid radiomics based on pretreatment contrast-enhanced computed tomography provided a promising way to predict local recurrence of ESCC patients receiving definitive (chemo)radiotherapy.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Esofágicas
/
Carcinoma de Células Escamosas do Esôfago
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article