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J Magn Reson Imaging
January 2025
Department of Radiology, Ålesund Hospital, Møre og Romsdal Hospital Trust, Ålesund, Norway.
Background: Deep learning-based segmentation of brain metastases relies on large amounts of fully annotated data by domain experts. Semi-supervised learning offers potential efficient methods to improve model performance without excessive annotation burden.
Purpose: This work tests the viability of semi-supervision for brain metastases segmentation.
Radiology
December 2024
From the Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, Calif (M.S.S., S.C., Z.F., N.A., S.N.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); Department of Radiology, Mayo Clinic, Scottsdale, Ariz (L.S.H., Y.Z.); Division of Neuroradiology, Department of Radiology, Duke University School of Medicine, Durham, NC (D.P.B.); Invicro, Needham, Mass (L.B.); Clinical Imaging Group, Genentech, South San Francisco, Calif (L.C.B.); Imaging Core Laboratory, American College of Radiology, Philadelphia, Pa (M.A.B., L.C.); Section of Neuroradiology, Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI (J.L.B.); National Institute of Standards and Technology, Boulder, Colo (K.E.K.); Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th St, CNY 2301, Charlestown, MA 02129 (J.E.K., L.R., O.W.); Barrows Neurologic Institute, Phoenix, Ariz (C.C.Q.); Cancer Systems Imaging, MD Anderson Cancer Center, Houston, Tex (C.C.Q.); Department of Radiology, Division of Abdominal Imaging, Hospital of the University of Pennsylvania, Philadelphia, Pa (M.A.R.); College of Undergraduate Studies, University of Central Florida, Orlando, Fla (L.R.); Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wis (K.M.S.); Independent Consultant, Basel, Switzerland (G.Z.); and Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.).
The dynamic susceptibility contrast (DSC) MRI measures of relative cerebral blood volume (rCBV) play a central role in monitoring therapeutic response and disease progression in patients with gliomas. Previous investigations have demonstrated promise of using rCBV in classifying tumor grade, elucidating tumor viability after therapy, and differentiating pseudoprogression and pseudoresponse. However, the quantification and reproducibility of rCBV measurements across patients, devices, and software remain a critical barrier to routine or clinical trial use of longitudinal DSC MRI in patients with gliomas.
View Article and Find Full Text PDFObjectives: Challenges regarding feeding difficulties and nutrition in children with esophageal atresia (EA) have been sparsely studied. The aim of this study was to explore parent-reported feeding difficulties in children with EA by applying Montreal Children's Hospital-Feeding Scale (MCH-FS), and to further explore associations between feeding difficulties and clinical factors, growth and nutritional intake.
Methods: Parents of EA children born between 2012 and 2017 were invited.
Expert Rev Med Devices
December 2024
Cardiology Department, Conemaugh Health System, Johnstown, PA, USA.
J Pediatr Urol
October 2024
Department of Child and Adolescent Psychiatry, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway. Electronic address:
Background: There is limited research and conflicting results on the mental health and health-related quality of life of individuals surgically treated for hypospadias in childhood. Furthermore, the significance of patient-reported outcomes (PRO) in hypospadias is growing. More research is necessary on these topics, particularly in adolescents.
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