Machine Learning-based Dose Prediction in [Lu]Lu-PSMA-617 Therapy by Integrating Biomarkers and Radiomic Features from [Ga]Ga-PSMA-11 Positron Emission Tomography/Computed Tomography.

Journal: International journal of radiation oncology, biology, physics
Published Date: May 18, 2025

Abstract

PURPOSE: The study aimed to develop machine learning (ML) models for pretherapy prediction of absorbed doses (ADs) in kidneys and tumoral lesions for patients with metastatic castration-resistant prostate cancer (mCRPC) undergoing [Lu]Lu-PSMA-617 (Lu-PSMA) radioligand therapy (RLT). By leveraging radiomic features (RFs) from [Ga]Ga-PSMA-11 (Ga-PSMA) positron emission tomography/computed tomography (PET/CT) scans and clinical biomarkers (CBs), the approach has the potential to improve patient selection and tailor dosimetry-guided therapy.

Authors

  • Elmira Yazdani
    Medical Physics Department, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Mahdi Sadeghi
    Medical Physics Department, School of Medicine, Iran University of Medical Sciences, Tehran, , Iran. Electronic address: sadeghi.m@iums.ac.ir.
  • Najme Karamzade-Ziarati
    Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Parmida Jabari
    Department of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran.
  • Payam Amini
    School of medicine, Keele University, Keele, ST5 5BG, Staffordshire, UK.
  • Habibeh Vosoughi
    Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Malihe Shahbazi Akbari
    Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Mahboobeh Asadi
    Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Saeed Reza Kheradpisheh
    Department of Computer Science, Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran, Iran.
  • Parham Geramifar
    Research Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.

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