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Preoperative prediction of VETC in hepatocellular carcinoma using non-Gaussian diffusion-weighted imaging at high b values: a pilot study.
Li, Chenhui; Wen, Yan; Xie, Jinhuan; Chen, Qianjuan; Dang, Yiwu; Zhang, Huiting; Guo, Hu; Long, Liling.
Afiliação
  • Li C; Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Wen Y; Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Xie J; Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Chen Q; Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Dang Y; Department of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Zhang H; MR Scientific Marketing, Siemens Healthcare Ltd., Wuhan, Hubei, China.
  • Guo H; MR Application, Siemens Healthcare Ltd., Changsha, Hunan, China.
  • Long L; Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Front Oncol ; 13: 1167209, 2023.
Article em En | MEDLINE | ID: mdl-37305565
Background: Vessels encapsulating tumor clusters (VETC) have been considered an important cause of hepatocellular carcinoma (HCC) metastasis. Purpose: To compare the potential of various diffusion parameters derived from the monoexponential model and four non-Gaussian models (DKI, SEM, FROC, and CTRW) in preoperatively predicting the VETC of HCC. Methods: 86 HCC patients (40 VETC-positive and 46 VETC-negative) were prospectively enrolled. Diffusion-weighted images were acquired using six b-values (range from 0 to 3000 s/mm2). Various diffusion parameters derived from diffusion kurtosis (DK), stretched-exponential (SE), fractional-order calculus (FROC), and continuous-time random walk (CTRW) models, together with the conventional apparent diffusion coefficient (ADC) derived from the monoexponential model were calculated. All parameters were compared between VETC-positive and VETC-negative groups using an independent sample t-test or Mann-Whitney U test, and then the parameters with significant differences between the two groups were combined to establish a predictive model by binary logistic regression. Receiver operating characteristic (ROC) analyses were used to assess diagnostic performance. Results: Among all studied diffusion parameters, only DKI_K and CTRW_α significantly differed between groups (P=0.002 and 0.004, respectively). For predicting the presence of VETC in HCC patients, the combination of DKI_K and CTRW_α had the larger area under the ROC curve (AUC) than the two parameters individually (AUC=0.747 vs. 0.678 and 0.672, respectively). Conclusion: DKI_K and CTRW_α outperformed traditional ADC for predicting the VETC of HCC.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2023 Tipo de documento: Article