Your browser doesn't support javascript.
loading
CT-based radiomics model to distinguish necrotic hepatocellular carcinoma from pyogenic liver abscess.
Hu, M J; Yu, Y X; Fan, Y F; Hu, C H.
Afiliação
  • Hu MJ; Department of Radiology, The First Affiliated Hospital of Soochow University, Institute of Medical Imaging of Soochow University, Suzhou, People's Republic of China.
  • Yu YX; Department of Radiology, The First Affiliated Hospital of Soochow University, Institute of Medical Imaging of Soochow University, Suzhou, People's Republic of China.
  • Fan YF; Department of Radiology, The First Affiliated Hospital of Soochow University, Institute of Medical Imaging of Soochow University, Suzhou, People's Republic of China.
  • Hu CH; Department of Radiology, The First Affiliated Hospital of Soochow University, Institute of Medical Imaging of Soochow University, Suzhou, People's Republic of China. Electronic address: sdhuchunhong@163.com.
Clin Radiol ; 76(2): 161.e11-161.e17, 2021 Feb.
Article em En | MEDLINE | ID: mdl-33267948
AIM: To investigate the feasibility of a computed tomography (CT)-based radiomics model in distinguishing necrotic hepatocellular carcinoma (nHCC) from pyogenic liver abscess (PLA). MATERIAL AND METHODS: One hundred-four enrolled patients with nHCC (n=56) and PLA (n=48) were divided randomly into a training cohort (n=62) and validation cohort (n=42). ROI (region of interest) of the wall (ROI-wall) and ROI of the necrotic cavity (ROI-necrotic cavity) of the lesion were delineated from each arterial phase (AP) and portal venous phase (PP) image. The least absolute shrinkage and the selection operator logistic regression method was used to select radiomics features, and radiomics scores (R-scores) were calculated. Four radiomics models, including R-score (ROI-wall) in the AP, R-score (ROI-necrotic cavity) in the AP, R-score (ROI-wall) in the PP and R-score (ROI-necrotic cavity) in the PP, were constructed and evaluated by area under the curve (AUC) of receiver operating characteristic curve. RESULTS: The AUCs of R-score (ROI-wall) in the AP, R-score (ROI-necrotic cavity) in the AP, R-score (ROI-wall) in the PP, and R-score (ROI-necrotic cavity) in the PP were 0.935 and 0.917, 0.906 and 0.824, 0.985 and 0.928, 0.899 and 0.850, in the training and validation cohorts, respectively. In the training cohort, the AUC of R-score (ROI-wall) in the PP was higher than that of R-score (ROI-wall) in the AP (p=0.024) or R-score (ROI-necrotic cavity) in the AP (p=0.046) or R-score (ROI-necrotic cavity) in the PP (p=0.044). CONCLUSION: CT-based radiomics models can be used to distinguish nHCC from PLA.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Carcinoma Hepatocelular / Abscesso Hepático Piogênico / Neoplasias Hepáticas Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Radiol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Carcinoma Hepatocelular / Abscesso Hepático Piogênico / Neoplasias Hepáticas Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Radiol Ano de publicação: 2021 Tipo de documento: Article