Clinical impact of [18F]FDG-PET/CT in ARI0002h treatment, a CAR-T against BCMA for relapsed/refractory multiple myeloma.

Multiple myeloma (MM) remains incurable, with poor outcomes in heavily pre-treated patients with plasmacytomas. Chimeric antigen receptor (CAR) T-cell therapy has emerged as a promising treatment option; however, outcomes after such therapy in patients with soft-tissue plasmacytomas and other bone lesions remain poorly understood. Data regarding these parameters is scarce within the specific context of CAR T-cell treatment.

Automatic Skeleton Segmentation in CT Images Based on U-Net.

Bone metastasis, emerging oncological therapies, and osteoporosis represent some of the distinct clinical contexts which can result in morphological alterations in bone structure. The visual assessment of these changes through anatomical images is considered suboptimal, emphasizing the importance of precise skeletal segmentation as a valuable aid for its evaluation. In the present study, a neural network model for automatic skeleton segmentation from bidimensional computerized tomography (CT) slices is proposed.

Robustness of [F]FDG PET/CT radiomic analysis in the setting of drug-induced cardiotoxicity.

Background And Objectives: Standardization of radiomic data acquisition protocols is still at a very early stage, revealing a strong need to work towards the definition of uniform image processing methodologies The aim of this study is to identify sources of variability in radiomic data derived from image discretization and resampling methodologies prior to image feature extraction. Furthermore, to identify robust potential image-based biomarkers for the early detection of cardiotoxicity.

Methods: Image post-acquisition processing, interpolation, and volume of interest (VOI) segmentation were performed.

Radiomics analysis of bone marrow biopsy locations in [F]FDG PET/CT images for measurable residual disease assessment in multiple myeloma.

The combination of visual assessment of whole body [F]FDG PET images and evaluation of bone marrow samples by Multiparameter Flow Cytometry (MFC) or Next-Generation Sequencing (NGS) is currently the most common clinical practice for the detection of Measurable Residual Disease (MRD) in Multiple Myeloma (MM) patients. In this study, radiomic features extracted from the bone marrow biopsy locations are analyzed and compared to those extracted from the whole bone marrow in order to study the representativeness of these biopsy locations in the image-based MRD assessment. Whole body [F]FDG PET of 39 patients with newly diagnosed MM were included in the database, and visually evaluated by experts in nuclear medicine.

Static first-minute-frame (FMF) PET imaging after F-labeled amyloid tracer injection is correlated to [F]FDG PET in patients with primary progressive aphasia.

Objective: To study the correlation between a static PET image of the first-minute-frame (FMF) acquired with F-labeled amyloid-binding radiotracers and brain [F]FDG PET in patients with primary progressive aphasia (PPA).

Material And Methods: The study cohort includes 17 patients diagnosed with PPA with the following distribution: 9 nonfluent variant PPA, 4 logopenic variant PPA, 1 semantic variant PPA, 3 unclassifiable PPA. Regional SUVRs are extracted from FMFs and their corresponding [F]FDG PET images and Pearson's correlation coefficients are calculated.