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Impact of different models based on blood samples and images for bone marrow dosimetry after 177 Lu-labeled somatostatin-receptor therapy.

Delphine VallotSéverine BrillouetSéléna PondardLavinia VijaJean-Sébastien TexierLawrence DierickxFrédéric Courbon
Published in: EJNMMI physics (2024)
This study confirms that the estimated bone marrow dose is significantly lower with the blood-based method than with the image-based method. The blood-based method with a bi-exponential model proved particularly useful, without the need for blood samples after 24h post-injection. Nevertheless, this blood-based method is based on an assumption that needs to be more validated. The important difference between the two methods does not allow to determine the optimal one to estimate the true absorbed dose and further studies are necessary to compare with biological effects.
Keyphrases
  • bone marrow
  • mesenchymal stem cells
  • deep learning
  • computed tomography
  • machine learning
  • ultrasound guided
  • convolutional neural network
  • pet imaging
  • monte carlo