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Immunotherapy has brought great benefits to cancer patients, but only some patients benefit from it. Noninvasive, real-time and dynamic monitoring of the effectiveness of immunotherapy through PET imaging may provide assistance for the treatment plan of immunotherapy. In this study, we designed and synthesized a new targeted PD-L1 peptide NOTA-PEG-Asp-PDL1P, which was labeled with nuclide F to obtain a new imaging agent [F]AlF-NOTA-PEG-Asp-PDL1P. The total radiochemical yield of [F]AlF-NOTA-PEG-Asp-PDL1P was 13.7 % (Uncorrected radiochemical yield, n > 5). [F]AlF-NOTA-PEG-Asp-PDL1P achieved high radiochemical purity (>95 %) with a molar activity more than 51.2 GBq/μmol. [F]AlF-NOTA-PEG-Asp-PDL1P exhibited good hydrophilicity and had good stability both in vivo and in vitro, it can specifically targets B16F10 tumor with PD-L1 expression, and had a relatively high retention in tumor, a relatively fast clearance in vivo and a higher tumor-to-non-target ratio, all of which could make [F]AlF-NOTA-PEG-Asp-PDL1P a potential tracer for PD-L1 prediction before clinical immunotherapy.
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http://dx.doi.org/10.1016/j.bioorg.2024.107193 | DOI Listing |
Cereb Cortex
August 2025
Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland.
Statistical Parametric Mapping (SPM) is a statistical framework and open source software package for neuroimaging data analysis. Originally created by Karl Friston in the early 1990s, it has been used by a vast number of scientific studies over the last three decades. SPM has not only revolutionized the analysis of neuroimaging data but also catalyzed the development of cognitive neuroscience.
View Article and Find Full Text PDFAnn Nucl Med
September 2025
Department of Nuclear Medicine, Marmara University School of Medicine, Istanbul, Turkey.
Objective: This study aims to systematically evaluate the inter- and intra-observer agreement regarding lesions with uncertain malignancy potential in Ga-68 PSMA PET/CT imaging of prostate cancer patients, utilizing the PSMA-RADS 2.0 classification system, and to emphasize the malignancy evidence associated with these lesions.
Methods: We retrospectively reviewed Ga-68 PSMA PET/CT images of patients diagnosed with prostate cancer via histopathology between December 2016 and November 2023.
Int J Surg
September 2025
Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Background: Precise preoperative discrimination of invasive lung adenocarcinoma (IA) from preinvasive lesions (adenocarcinoma in situ [AIS]/minimally invasive adenocarcinoma [MIA]) and prediction of high-risk histopathological features are critical for optimizing resection strategies in early-stage lung adenocarcinoma (LUAD).
Methods: In this multicenter study, 813 LUAD patients (tumors ≤3 cm) formed the training cohort. A total of 1,709 radiomic features were extracted from the PET/CT images.
Ann Neurol
September 2025
Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Objective: The objective of this study was to determine the predictive value of amyloid-positron emission tomography (PET) versus the plasma ratio of phosphorylated tau at threonine 217 (p-tau217) to non-phosphorylated tau217 (%p-tau217) for tau-PET transitions (T- to T+). The added value of combining plasma amyloid-β 42 and amyloid-β 40 (Aβ42/40) and %p-tau217 into an amyloid probability score (APS2) was also assessed.
Methods: Mayo Clinic Study of Aging (MCSA) participants had plasma markers measured at via mass spectrometry (MS), an amyloid-PET scan, and a tau-PET (meta-temporal region of interest [ROI]) negative scan (standardized uptake value ratio [SUVR] <1.
Alzheimers Dement
September 2025
Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, South Korea.
Introduction: We developed and validated age-related amyloid beta (Aβ) positron emission tomography (PET) trajectories using a statistical model in cognitively unimpaired (CU) individuals.
Methods: We analyzed 849 CU Korean and 521 CU non-Hispanic White (NHW) participants after propensity score matching. Aβ PET trajectories were modeled using the generalized additive model for location, scale, and shape (GAMLSS) based on baseline data and validated with longitudinal data.