Background Mayo imaging classification (MIC) is a useful biomarker to predict disease progression in autosomal dominant polycystic kidney disease (ADPKD). This study was performed to validate MIC in the prediction of renal outcome in a prospective Korean ADPKD cohort and evaluate clinical parameters associated with rapid disease progression. Methods A total of 178 ADPKD patients were enrolled and prospectively observed for an average duration of 6.2 ± 1.9 years. Rapid progressor was defined as MIC 1C through 1E while slow progressor was defined as 1A through 1B. Renal composite outcome (doubling of serum creatinine, 50% decline of estimated glomerular filtration rate [eGFR], or initiation of renal replacement therapy) as well as the annual ...
Total kidney volume (TKV) is a promising imaging biomarker for tracking and predicting the natural h...
Kidney volume growth is considered the best surrogate marker predicting the decline of renal functio...
Background: Markers currently used to predict the likelihood of rapid disease progression in patient...
Background: Mayo imaging classification (MIC) is a useful biomarker to predict disease progression i...
Background: Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney d...
Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disease and s...
Autosomal dominant polycystic kidney disease (ADPKD) constitutes the fourth cause of end-stage renal...
Autosomal dominant polycystic kidney disease (ADPKD) is the most common inheritable kidney disease. ...
BACKGROUND: Prediction models in autosomal dominant polycystic kidney disease (ADPKD) are useful in ...
Background: Markers currently used to predict the likelihood of rapid disease progression in patient...
peer reviewedIt is unknown whether early diagnosis of autosomal dominant polycystic kidney disease (...
Background: Markers currently used to predict the likelihood of rapid disease progression in patient...
BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) is the leading inheritable caus...
Background: Autosomal dominant polycystic kidney disease (ADPKD) is the commonest inherited renal di...
INTRODUCTION: Autosomal dominant polycystic kidney disease (ADPKD) is the most common renal heredi...
Total kidney volume (TKV) is a promising imaging biomarker for tracking and predicting the natural h...
Kidney volume growth is considered the best surrogate marker predicting the decline of renal functio...
Background: Markers currently used to predict the likelihood of rapid disease progression in patient...
Background: Mayo imaging classification (MIC) is a useful biomarker to predict disease progression i...
Background: Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney d...
Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disease and s...
Autosomal dominant polycystic kidney disease (ADPKD) constitutes the fourth cause of end-stage renal...
Autosomal dominant polycystic kidney disease (ADPKD) is the most common inheritable kidney disease. ...
BACKGROUND: Prediction models in autosomal dominant polycystic kidney disease (ADPKD) are useful in ...
Background: Markers currently used to predict the likelihood of rapid disease progression in patient...
peer reviewedIt is unknown whether early diagnosis of autosomal dominant polycystic kidney disease (...
Background: Markers currently used to predict the likelihood of rapid disease progression in patient...
BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) is the leading inheritable caus...
Background: Autosomal dominant polycystic kidney disease (ADPKD) is the commonest inherited renal di...
INTRODUCTION: Autosomal dominant polycystic kidney disease (ADPKD) is the most common renal heredi...
Total kidney volume (TKV) is a promising imaging biomarker for tracking and predicting the natural h...
Kidney volume growth is considered the best surrogate marker predicting the decline of renal functio...
Background: Markers currently used to predict the likelihood of rapid disease progression in patient...