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Predicting Ki-67 expression in hepatocellular carcinoma: nomogram based on clinical factors and contrast-enhanced ultrasound radiomics signatures.
Zhang, Di; Zhang, Xian-Ya; Lu, Wen-Wu; Liao, Jin-Tang; Zhang, Chao-Xue; Tang, Qi; Cui, Xin-Wu.
Afiliación
  • Zhang D; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, China.
  • Zhang XY; Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue No. 1095, Wuhan, 430030, Hubei, China.
  • Lu WW; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, China.
  • Liao JT; Department of Diagnostic Ultrasound, Xiang Ya Hospital of Central South University, Changsha, 410000, Hunan, China.
  • Zhang CX; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, Anhui, China. zcxay@163.com.
  • Tang Q; Department of Ultrasonography, The First Hospital of Changsha, No. 311 Yingpan Road, Changsha, 410005, Hunan, China. 2507176731@qq.com.
  • Cui XW; Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue No. 1095, Wuhan, 430030, Hubei, China. cuixinwu@live.cn.
Abdom Radiol (NY) ; 49(5): 1419-1431, 2024 05.
Article en En | MEDLINE | ID: mdl-38461433
ABSTRACT

PURPOSE:

To develop a contrast-enhanced ultrasound (CEUS) clinic-radiomics nomogram for individualized assessment of Ki-67 expression in hepatocellular carcinoma (HCC).

METHODS:

A retrospective cohort comprising 310 HCC individuals who underwent preoperative CEUS (using SonoVue) at three different centers was partitioned into a training set, a validation set, and an external test set. Radiomics signatures indicating the phenotypes of the Ki-67 were extracted from multiphase CEUS images. The radiomics score (Rad-score) was calculated accordingly after feature selection and the radiomics model was constructed. A clinic-radiomics nomogram was established utilizing multiphase CEUS Rad-score and clinical risk factors. A clinical model only incorporated clinical factors was also developed for comparison. Regarding clinical utility, calibration, and discrimination, the predictive efficiency of the clinic-radiomics nomogram was evaluated.

RESULTS:

Seven radiomics signatures from multiphase CEUS images were selected to calculate the Rad-score. The clinic-radiomics nomogram, comprising the Rad-score and clinical risk factors, indicated a good calibration and demonstrated a better discriminatory capacity compared to the clinical model (AUCs 0.870 vs 0.797, 0.872 vs 0.755, 0.856 vs 0.749 in the training, validation, and external test set, respectively) and the radiomics model (AUCs 0.870 vs 0.752, 0.872 vs 0.733, 0.856 vs 0.729 in the training, validation, and external test set, respectively). Furthermore, both the clinical impact curve and the decision curve analysis displayed good clinical application of the nomogram.

CONCLUSION:

The clinic-radiomics nomogram constructed from multiphase CEUS images and clinical risk parameters can distinguish Ki-67 expression in HCC patients and offer useful insights to guide subsequent personalized treatment.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ultrasonografía / Carcinoma Hepatocelular / Medios de Contraste / Antígeno Ki-67 / Nomogramas / Neoplasias Hepáticas Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Abdom Radiol (NY) Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ultrasonografía / Carcinoma Hepatocelular / Medios de Contraste / Antígeno Ki-67 / Nomogramas / Neoplasias Hepáticas Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Abdom Radiol (NY) Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos