US-derived Pediatric Kidney Length and Volume Percentiles by Age: A Big Data Approach.
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| Title: | US-derived Pediatric Kidney Length and Volume Percentiles by Age: A Big Data Approach. |
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| Authors: | Viteri B; Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa., Morales-Tisnés T; Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa., Logan J; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pa., Zee J; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.; Children's Hospital of Philadelphia Research Institute, Philadelphia, Pa., Kaplan S; Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa., Back SJ; Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa., Hartung EA; Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa., Pradhan M; Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa., Guay-Woodford L; Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa., Furth SL; Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa., Amaral S; Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa., Tasian GE; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.; Department of Surgery, Division of Urology, Children's Hospital of Philadelphia, Philadelphia, Pa., Otero HJ; Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.; Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa. |
| Source: | Radiology. Artificial intelligence [Radiol Artif Intell] 2026 Jan; Vol. 8 (1), pp. e250056. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101746556 Publication Model: Print Cited Medium: Internet ISSN: 2638-6100 (Electronic) Linking ISSN: 26386100 NLM ISO Abbreviation: Radiol Artif Intell Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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