AnalyzeDirect Irazabal MV, Rangel LJ, Bergstralh EJ, Osborn SL, Harmon AJ, Sundsbak JL, Bae KT, Chapman AB, Grantham JJ, Mrug M, Hogan MC, El-Zoghby ZM, Harris PC, Erickson BJ, King BF, Torres VE. Imaging classification of autosomal dominant polycystic kidney disease: a simple model for selecting patients for clinical trials. J Am Soc Nephrol. January 2015;26(1):160-172.
Publication Date
January 2015
How Analyze was Used
“TKV was determined from 5- to 10-mm axial/coronal CT or MRI by TKVs using Analyze software.”
Keywords
Adult
Age Factors
Aged
Aged, 80 and over
Clinical Trials as Topic
Disease Progression
Female
Glomerular Filtration Rate
Humans
Image Processing, Computer-Assisted
Kidney/pathology
Kidney Failure, Chronic/diagnosis/mortality/pathology
Magnetic Resonance Imaging (MRI)
Male
Middle Aged
Patient Selection
Polycystic Kidney, Autosomal Dominant/diagnosis/mortality/pathology
Tomography, X-Ray Computed
Author Affiliation(s)
Division of Nephrology and Hypertension, Mayo Clinic College of Medicine, Rochester, MN, US. (MVI, SLO, AJH, JLS, MCH, ZMEZ, PCH, VET)
Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN, US. (LJR, EJB)
Department of Radiology, Mayo Clinic College of Medicine, Rochester, MN, US. (BJE, BFK)
University of Pittsburgh School of Medicine, Pittsburgh, PA, US. (KTB)
Division of Nephrology, Emory University School of Medicine, Atlanta, GA, US. (ABC)
The Kidney Institute, Department of Internal Medicine, Kansas University Medical Center, Kansas City, KS, US. (JJG)
Division of Nephrology, University of Alabama and Department of Veterans Affairs Medical Center, Birmingham, AL, US. (MM)
ID# 2697
Tags: Adult, Age Factors, Aged, Aged_80 and over, Autosomal Dominant Polycystic Kidney/diagnosis/mortality/pathology, Chronic Kidney Failure/diagnosis/mortality/pathology, Clinical Trials as Topic, Computer-Assisted Image Processing, Disease Progression, Female, Glomerular Filtration Rate, Humans, Kidney/pathology, Magnetic Resonance Imaging (MRI), Male, Middle Aged, Patient Selection, X-Ray Computed Tomography