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Dual-phase multiobjective Bayesian optimization method for estimating hepatocellular carcinoma dynamics parameters

Xin Xiong1, Jingchun Huang1, Siming Li1

  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan Key Laboratory of Artificial Intelligence, Kunming, China.

Quantitative Imaging in Medicine and Surgery
|August 11, 2025
PubMed
Summary
This summary is machine-generated.

Bayesian optimization (BO) methods can assess hepatocellular carcinoma (HCC) pharmacokinetics. The dual-phase and multiobjective strategies into BO (DPMO-BO) method improves diagnostic accuracy and fitting precision for HCC detection.

Keywords:
Bayesian optimization (BO)Kinetic modelshepatocellular carcinoma (HCC)positron emission tomography/computed tomography (PET/CT)

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Area of Science:

  • Medical Imaging
  • Pharmacokinetics
  • Computational Biology

Background:

  • Hepatocellular carcinoma (HCC) pharmacokinetics are assessed using optimization algorithms with dynamic PET/CT scans.
  • Bayesian optimization (BO) and a dual-phase/multiobjective strategy (DPMO-BO) were evaluated for HCC pharmacokinetic estimation.

Purpose of the Study:

  • To assess the role of the BO and DPMO-BO methods in estimating HCC pharmacokinetics from PET/CT scans.
  • To compare the diagnostic performance of different pharmacokinetic models in distinguishing HCC.

Main Methods:

  • Kinetic parameters were estimated using a double-input three-compartment model from 27 HCC tumors.
  • Methods compared include Bayesian method (BM), BO, and DPMO-BO, with root mean square error (RMSE) assessing fitting deviation.

Main Results:

  • DPMO-BO significantly differentiated all pharmacokinetic parameters (P<0.05) and showed higher AUC for Ki (0.709) than BO (0.595).
  • DPMO-BO achieved lower RMSE values for HCC and normal liver tissues compared to BM and BO.
  • BM differentiated HCC using k2, k3, fa, and vb (P<0.05); BO differentiated using fa and vb (P<0.001).

Conclusions:

  • The BO method is suitable for assessing HCC pharmacokinetics.
  • The DPMO-BO method enhances diagnostic performance and fitting accuracy for HCC detection using PET/CT imaging.