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nnU-Net-based Segmentation of Tumor Subcompartments in Pediatric Medulloblastoma Using Multiparametric MRI: A Multi-institutional Study.
Radiol Artif Intell
September 2024
From the Department of Radiology, University of Wisconsin-Madison, Madison, Wis (R.B., M.I., I.Y.); University Hospitals, Cleveland, Ohio (D.M., A.N.); Departments of Biomedical Engineering (M.L., S.G., S.I.) and Neurosciences (P.D.), Case Western Reserve University, Cleveland, Ohio; Department of Radiology, Children's Hospital Los Angeles, Los Angeles, Calif (B.T.); Division of Hematology, Oncology & Bone Marrow Transplant, Nationwide Children's Hospital, Columbus, Ohio (R.S.); Department of Pediatrics, Keck School of Medicine of University of Southern California, Children's Hospital Los Angeles, Los Angeles, Calif (A.M.); Department of Pathology, Children's Hospital Los Angeles, Los Angeles, Calif (A.J.); Division of Oncology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (P.d.B.); William S. Middleton Memorial Veterans Affairs (VA) Healthcare, Madison, Wis (P.T.); and Department of Radiology and Biomedical Engineering, University of Wisconsin-Madison, 750 Highland Ave, Madison, WI 53726 (P.T.).
Article Synopsis
- The study aimed to assess nnU-Net-based segmentation models for accurately identifying medulloblastoma tumors in pediatric patients using multi-institutional MRI scans.
- It involved 78 patients aged 2 to 18 years and utilized various MRI protocols collected from three hospitals over 19 years, with tumor annotations prepared by expert neuroradiologists.
- Results showed that both transfer learning and direct nnU-Net models achieved decent Dice scores for tumor segmentation, indicating their effectiveness and robustness across different clinical sites.
A Histopathologic Correlation Study Evaluating Glymphatic Function in Brain Tumors by Multiparametric MRI.
Clin Cancer Res
November 2024
Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
Purpose: This study aimed to elucidate the impact of brain tumors on cerebral edema and glymphatic drainage by leveraging advanced MRI techniques to explore the relationships among tumor characteristics, glymphatic function, and aquaporin-4 (AQP4) expression levels.
Experimental Design: In a prospective cohort from March 2022 to April 2023, patients with glioblastoma, brain metastases, and aggressive meningiomas, alongside age- and sex-matched healthy controls, underwent 3.0T MRI, including diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index and multiparametric MRI for quantitative brain mapping.
Letter to the editor for the article "Predicting clinically significant prostate cancer following suspicious mpMRI: analyses from a high-volume center".
World J Urol
June 2024
The Department of Critical Care Medicine, The First People's Hospital of Chenzhou, 423000, chenzhou, Hunan, China.
Re: Matthias Boschheidgen, Peter Albers, Heinz-Peter Schlemmer, et al. Multiparametric Magnetic Resonance Imaging in Prostate Cancer Screening at the Age of 45 Years: Results from the First Screening Round of the PROBASE Trial. Eur Urol 2024;85:105-11.
Eur Urol
July 2024
School of Medicine, Universidad de la Sabana, Chía, Colombia.
Reply to "Is PI-RADS Ready for Biparametric Prostate MRI?".
AJR Am J Roentgenol
May 2024
University Hospitals Cleveland Medical Center, Cleveland, OH.
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