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Related Experiment Video

Updated: May 14, 2026

Gastric Point of Care Ultrasound in Adults: Image Acquisition and Interpretation
05:50

Gastric Point of Care Ultrasound in Adults: Image Acquisition and Interpretation

Published on: September 22, 2023

Prediction of Gallbladder Lesions Malignancy Risk Using Contrast-Enhanced Ultrasound and Arrival-Time Parametric

He-Wen Tang1, Zhong-Yi Zhang1, Yue Cong1

  • 1Department of Ultrasound, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital, Haidian District, Beijing, China.

Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine
|May 13, 2026
PubMed
Summary

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This study developed prediction models using contrast-enhanced ultrasound (CEUS) and arrival-time parametric imaging (ATPI) to assess gallbladder lesion (GBL) malignancy risk. The combined CEUS + ATPI model demonstrated superior accuracy in predicting GBL malignancy.

Area of Science:

  • Medical Imaging
  • Oncology
  • Diagnostic Accuracy

Background:

  • Gallbladder lesions (GBLs) require accurate malignancy risk assessment for appropriate management.
  • Contrast-enhanced ultrasound (CEUS) and arrival-time parametric imaging (ATPI) are advanced ultrasound techniques.
  • Distinguishing between benign and malignant GBLs preoperatively is crucial.

Purpose of the Study:

  • To establish and evaluate prediction models for GBL malignancy risk.
  • To compare the diagnostic performance of CEUS alone versus CEUS combined with ATPI.
  • To identify key imaging features predictive of GBL malignancy.

Main Methods:

  • Retrospective analysis of 59 patients with GBLs who underwent ultrasound, CEUS, and ATPI.
  • Univariate and multivariate analyses to identify independent predictors of malignancy.
Keywords:
arrival‐time parametric imagingcontrast‐enhanced ultrasoundgallbladder carcinomaultrasound

Related Experiment Videos

Last Updated: May 14, 2026

Gastric Point of Care Ultrasound in Adults: Image Acquisition and Interpretation
05:50

Gastric Point of Care Ultrasound in Adults: Image Acquisition and Interpretation

Published on: September 22, 2023

  • Development of CEUS and CEUS + ATPI nomogram-based prediction models.
  • Evaluation of model performance using receiver operating characteristic curves, calibration curves, and decision curve analysis.

    • Main Results:

    • Key predictors for the CEUS model included diameter, shape, and washout time.
    • Key predictors for the CEUS + ATPI model included diameter, washout time, and vascular pattern.
    • The CEUS + ATPI model achieved a significantly higher area under the curve (AUC) of 0.978 compared to the CEUS model's AUC of 0.908.
    • Both models demonstrated good clinical utility across various threshold probabilities.

    Conclusions:

    • Prediction models integrating CEUS and ATPI significantly enhance diagnostic accuracy for GBLs.
    • These models provide intuitive and quantitative information on lesion size, shape, vascular pattern, and washout time.
    • The CEUS + ATPI model offers superior predictive performance for GBL malignancy risk assessment.