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A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma.
Biomark Res
January 2025
Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, P.R. China.
Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.
Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).
Development of an Irreversible Peptidomimetic Radioligand for PET Imaging of ST14 Protease.
Bioconjug Chem
January 2025
Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 210000, China.
To enhance the affinity of peptide ligands for their targets, covalent warheads can be engineered to facilitate irreversible binding. This study aimed at exploring the potential of a Ga-labeled peptidomimetic radioligand, [Ga]Ga-DOTA-RQAR-kbt, for PET imaging through its irreversible binding to the suppression of tumorigenicity 14 (ST14). An Arg-Gln-Ala-Arg (RQAR) tetrapeptide was conjugated with 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid for gallium-68 radiolabeling.
View Article and Find Full Text PDFComparative Study of Dimeric Fibroblast Activation Protein-Targeting Radioligands Labeled with Fluorine-18, Copper-64, and Gallium-68.
Mol Pharm
December 2024
Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.
Fibroblast activation protein inhibitors (FAPIs) labeled with gallium-68 and lutetium-177 show potential for use in the diagnosis and treatment of various cancers expressing FAP. However, Lu-labeled FAPIs often exhibit short tumor retention time, limiting their therapeutic applications. To improve tumor retention, we synthesized three radiolabeled dimeric FAPIs, [F], [Cu], and [Ga].
View Article and Find Full Text PDFRadiochemical purity and patient preparation: Key factors affecting the accuracy of Ga-DOTATOC PET/CT imaging in neuroendocrine tumors.
Hell J Nucl Med
December 2024
Nuclear Medicine-PET/CT Department "Theageneio" Cancer Center, Thessaloniki, Greece.
Gallium-68-DOTA-D-phe1-try3-octreotide (Ga-DOTATOC) positron emission tomography/computed tomography (PET/CT) is a crucial diagnostic tool for neuroendocrine tumors (NET). Its accuracy is influenced by radiochemical purity and patient preparation. We present two cases where unexpected radiotracer uptake in Ga-DOTATOC PET/CT imaging was observed.
View Article and Find Full Text PDFEfficient radiolabeling of mesoporous silica nanoparticles for single-cell PET imaging.
Eur J Nucl Med Mol Imaging
December 2024
Department of Radiation Oncology, Stanford University, Stanford, CA, USA.
Purpose: Nanoparticles are highly efficient vectors for ferrying contrast agents across cell membranes, enabling ultra-sensitive in vivo tracking of single cells with positron emission tomography (PET). However, this approach must be fully characterized and understood before it can be reliably implemented for routine applications.
Methods: We developed a Langmuir adsorption model that accurately describes the process of labeling mesoporous silica nanoparticles (MSNP) with Ga.
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