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http://dx.doi.org/10.1007/s12350-016-0716-8 | DOI Listing |
Radiol Imaging Cancer
January 2025
Department of Radiology, University Medical Center Groningen, Groningen, the Netherlands.
Purpose To validate a deep learning (DL) model for predicting the risk of prostate cancer (PCa) progression based on MRI and clinical parameters and compare it with established models. Materials and Methods This retrospective study included 1607 MRI scans of 1143 male patients (median age, 64 years; IQR, 59-68 years) undergoing MRI for suspicion of clinically significant PCa (csPCa) (International Society of Urological Pathology grade > 1) between January 2012 and May 2022 who were negative for csPCa at baseline MRI. A DL model was developed using baseline MRI and clinical parameters (age, prostate-specific antigen [PSA] level, PSA density, and prostate volume) to predict the time to PCa progression (defined as csPCa diagnosis at follow-up).
View Article and Find Full Text PDFTranspl Infect Dis
January 2025
Department of Infectious Diseases, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil.
Background: Cytomegalovirus (CMV) infection remains among the leading complications after solid organ transplantation (SOT). Large international surveys mainly focused on high-income countries, detected considerable variability in the management of this infection after SOT. Limited data are available from resource-limited settings.
View Article and Find Full Text PDFCytopathology
January 2025
Department of Pathology and Applied Neurobiology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
This is the first case report describing the diagnostic value of dot-shaped inclusions associated with promyelocytic leukaemia nuclear bodies (PML-NBs) to define JC virus-infected glial cells in an intraoperative cytopathological diagnosis for progressive multifocal leukoencephalopathy (PML).
View Article and Find Full Text PDFMagn Reson Med
January 2025
Department of Radiology & Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Purpose: To correct maternal breathing and fetal bulk motion during fetal 4D flow MRI.
Methods: A Doppler-ultrasound fetal cardiac-gated free-running 4D flow acquisition was corrected post hoc for maternal respiratory and fetal bulk motion in separate automated steps, with optional manual intervention to assess and limit fetal motion artifacts. Compressed-sensing reconstruction with a data outlier rejection algorithm was adapted from previous work.
Neth Heart J
January 2025
Department of Cardiology, Thorax Centre, Cardiovascular Institute, Erasmus Medical Centre, Rotterdam, The Netherlands.
Background: Cardiac sarcoidosis (CS) is associated with poor prognosis, making early diagnosis and treatment important. This study evaluated the results of a diagnostic approach in patients with known sarcoidosis and suspected cardiac involvement in a tertiary centre and their long-term outcomes.
Methods: We included 180 patients with sarcoidosis and a clinical suspicion of CS.
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