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Gadoxetic Acid-Enhanced MRI-Based Radiomic Models for Preoperative Risk Prediction and Prognostic Assessment of Proliferative HCC.
Yan, Zuyi; Liu, Zixin; Zhu, Guodong; Lu, Mengtian; Zhang, Jiyun; Liu, Maotong; Jiang, Jifeng; Gu, Chunyan; Wu, Xiaomeng; Zhang, Tao; Zhang, Xueqin.
Afiliación
  • Yan Z; Nantong University, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L.); Department of Radiology, Nantong Third People's Hospital, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.); Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Nantong 2260
  • Liu Z; Nantong University, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L.); Department of Radiology, Nantong Third People's Hospital, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.); Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Nantong 2260
  • Zhu G; Department of Hepatobiliary Surgery, Affiliated Nantong Hospital 3 of Nantong University, Nantong Third People's Hospital, Nantong 226006, Jiangsu, China (G.Z.).
  • Lu M; Nantong University, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L.); Department of Radiology, Nantong Third People's Hospital, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.); Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Nantong 2260
  • Zhang J; Department of Radiology, Nantong Third People's Hospital, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.); Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.).
  • Liu M; Department of Radiology, Nantong Third People's Hospital, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.); Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.).
  • Jiang J; Department of Radiology, Nantong Third People's Hospital, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.); Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.).
  • Gu C; Department of Pathology, Affiliated Nantong Hospital 3 of Nantong University, Nantong Third People's Hospital, Nantong 226006, Jiangsu, China (C.G.).
  • Wu X; Clinical Science, Philips Healthcare, Shanghai 200000, China (X.W.).
  • Zhang T; Department of Radiology, Nantong Third People's Hospital, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.); Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.).
  • Zhang X; Department of Radiology, Nantong Third People's Hospital, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.); Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Nantong 226006, Jiangsu, China (Z.Y., Z.L., M.L., J.Z., M.L., J.J., T.Z., X.Z.). El
Acad Radiol ; 2024 Aug 23.
Article en En | MEDLINE | ID: mdl-39181825
ABSTRACT
RATIONALE AND

OBJECTIVES:

Proliferative hepatocellular carcinoma (HCC) is associated with high invasiveness and poor prognosis. This study aimed to investigate the preoperative risk prediction and prognostic value of different radiomics models and a nomogram for proliferative HCC. MATERIALS AND

METHODS:

Patients were randomly divided into a training cohort (n = 156) and a validation cohort (n = 66) in a 73 ratio. Original and delta (the different value between imaging features extracted from two different phases) radiomics features were extracted from T1-weighted imaging (T1WI), arterial, and hepatobiliary phases to construct models using different machine learning algorithms. Logistic regression was used to select clinical independent risk factors. A nomogram was constructed by integrating the optimal radiomics model score with independent risk factors. The diagnostic efficacy and clinical utility of the models were assessed. Subsequently, patients were stratified into high-risk and low-risk subgroups based on radiomics model scores and nomogram scores, and both recurrence-free survival (RFS) and overall survival (OS) were evaluated.

RESULTS:

Multivariate logistic regression analysis showed that BCLC stage and combined radscore were independent predictors of proliferative HCC. The area under the curve (AUC) of the nomogram incorporating these factors was 0.838 and 0.801 in the training and validation cohorts, respectively, with good predictive performance. Multivariate Cox regression analysis shows that the delta radiomics model (DR)-predicted proliferative HCC can independently predict RFS and OS, with scores from the delta radiomics model performing best in prognostic risk stratification.

CONCLUSION:

The nomogram can effectively predict proliferative HCC, while different radiomics models and the nomogram can offer varying prognostic stratification values.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Acad Radiol Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Acad Radiol Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos