98%
921
2 minutes
20
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1158/1078-0432.CCR-23-2525 | DOI Listing |
Nat Commun
September 2025
Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, 90033, California, USA.
J Neurooncol
September 2025
Department of Neurosurgery, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki Prefecture, Japan.
Parasitol Res
September 2025
Laboratório de Parasitologia, Instituto Biomédico, Universidade Federal Fluminense (UFF), Bloco E, 5º Andar, 510-525,Outeiro São João Batista S/N, Niterói, Rio de Janeiro, 24020-141, Brazil.
Brazil is a major pig-producing country with production systems that include both industrial and family farms. In these facilities, parasitic diseases present an obstacle to production. This study aimed to estimate the prevalence and risk factors of the gastrointestinal parasites that infect pigs as well as to provide information for producers through extension activities.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
September 2025
Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Purpose: Cardiac noradrenergic denervation visualized by meta-[I]iodobenzylguanidine ([I]MIBG) imaging supports the diagnosis of Parkinson's disease (PD). Recently, meta-[F] fluorobenzylguanidine ([F]MFBG) PET demonstrated favorable imaging characteristics compared with [I]MIBG scintigraphy for neuroendocrine tumors. We assessed [F]MFBG dosimetry and myocardial pharmacokinetics in healthy controls and PD patients.
View Article and Find Full Text PDFAbdom Radiol (NY)
September 2025
Department of Radiology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Background: We aimed to develop and validate a radiomics-based machine learning nomogram using multiparametric magnetic resonance imaging to preoperatively predict substantial lymphovascular space invasion in patients with endometrial cancer.
Methods: This retrospective dual-center study included patients with histologically confirmed endometrial cancer who underwent preoperative magnetic resonance imaging (MRI). The patients were divided into training and test sets.