CT-based radiomics for preoperative prediction of early recurrent hepatocellular carcinoma: technical reproducibility of acquisition and scanners.
Radiol Med
; 125(8): 697-705, 2020 Aug.
Article
em En
| MEDLINE
| ID: mdl-32200455
ABSTRACT
PURPOSE:
To test the technical reproducibility of acquisition and scanners of CT image-based radiomics model for early recurrent hepatocellular carcinoma (HCC).METHODS:
We included primary HCC patient undergone curative therapies, using early recurrence as endpoint. Four datasets were constructed 109 images from hospital #1 for training (set 1 1-mm image slice thickness), 47 images from hospital #1 for internal validation (sets 2 and 3 1-mm and 10-mm image slice thicknesses, respectively), and 47 images from hospital #2 for external validation (set 4 vastly different from training dataset). A radiomics model was constructed. Radiomics technical reproducibility was measured by overfitting and calibration deviation in external validation dataset. The influence of slice thickness on reproducibility was evaluated in two internal validation datasets.RESULTS:
Compared with set 1, the model in set 2 indicated favorable prediction efficiency (the area under the curve 0.79 vs. 0.80, P = 0.47) and good calibration (unreliability statistic U P = 0.33). However, in set 4, significant overfitting (0.63 vs. 0.80, P < 0.01) and calibration deviation (U P < 0.01) were observed. Similar poor performance was also observed in set 3 (0.56 vs. 0.80, P = 0.02; U P < 0.01).CONCLUSIONS:
CT-based radiomics has poor reproducibility between centers. Image heterogeneity, such as slice thickness, can be a significant influencing factor.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Interpretação de Imagem Radiográfica Assistida por Computador
/
Tomografia Computadorizada por Raios X
/
Carcinoma Hepatocelular
/
Neoplasias Hepáticas
/
Recidiva Local de Neoplasia
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article