PET/CT in the Evaluation of CAR-T Cell Immunotherapy in Hematological Malignancies.
Shashi Bhushan SinghSadikshya BhandariShisir SiwakotiManoj KumarRajshree SinghSubarna BhusalKaruna SharmaSamikshya BhandariKishor KhanalPublished in: Molecular imaging (2024)
Chimeric antigen receptor (CAR)-T cell-based immunotherapy has emerged as a path-breaking strategy for certain hematological malignancies. Assessment of the response to CAR-T therapy using quantitative imaging techniques such as positron emission tomography/computed tomography (PET/CT) has been broadly investigated. However, the definitive role of PET/CT in CAR-T therapy remains to be established. [ 18 F]FDG PET/CT has demonstrated high sensitivity and specificity for differentiating patients with a partial and complete response after CAR-T therapy in lymphoma. The early therapeutic response and immune-related adverse effects such as cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome can also be detected on [ 18 F]FDG PET images. In otherwise asymptomatic lymphoma patients with partial response following CAR-T therapy, the only positive findings could be abnormal PET/CT results. In multiple myeloma, a negative [ 18 F]FDG PET/CT after receiving B-cell maturation antigen-directed CAR-T therapy has been associated with a favorable prognosis. In leukemia, [ 18 F]FDG PET/CT can detect extramedullary metastases and treatment responses after therapy. Hence, PET/CT is a valuable imaging tool for patients undergoing CAR-T therapy for pretreatment evaluation, monitoring treatment response, assessing safety, and guiding therapeutic strategies. Developing guidelines with standardized cutoff values for various PET parameters and tumor cell-specific tracers may improve the efficacy and safety of CAR-T therapy.
Keyphrases
- pet ct
- positron emission tomography
- computed tomography
- cell therapy
- patients undergoing
- single cell
- high resolution
- multiple myeloma
- diffuse large b cell lymphoma
- magnetic resonance imaging
- acute myeloid leukemia
- deep learning
- bone marrow
- machine learning
- dendritic cells
- case report
- optical coherence tomography
- contrast enhanced
- atomic force microscopy
- high speed