Abstract:The rate at which autosomal dominant polycystic kidney disease (ADPKD) progresses to end-stage renal disease varies widely and is determined by genetic and non-genetic factors. The ability to determine the prognosis of children and young adults with ADPKD is important for the effective life-long management of the disease and to enable the efficacy of emerging therapies to be determined. Total kidney volume (TKV) reflects the sum volume of hundreds of individual cysts with potentially devastating effects on ren… Show more
“…Autosomal dominant polycystic kidney disease (ADPKD) is the most common of a group of inherited kidney disorders characterized by progressive cyst development and various extrarenal manifestations (1,2). Cystogenesis in the human kidneys can progressively occupy the normal parenchyma of the kidney and lead to renal failure, which usually occurs in mid-to-late adulthood.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have reported that many promising drugs showed potential therapeutic effects for ADP-KD in a large number of preclinical and clinical trials (1,7,(44)(45)(46)(47)(48)(49)(50)(51)(52)(53)(54). However, some of those in clinical trials -these promising drugs included mTOR inhibitors (55,56), somatostatin analogs (57,58), ACEI/ ARB (59,60), and tyrosine kinase inhibitor (61) -did not prevent the decline of EGFR in ADPKD patients.…”
“…Autosomal dominant polycystic kidney disease (ADPKD) is the most common of a group of inherited kidney disorders characterized by progressive cyst development and various extrarenal manifestations (1,2). Cystogenesis in the human kidneys can progressively occupy the normal parenchyma of the kidney and lead to renal failure, which usually occurs in mid-to-late adulthood.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have reported that many promising drugs showed potential therapeutic effects for ADP-KD in a large number of preclinical and clinical trials (1,7,(44)(45)(46)(47)(48)(49)(50)(51)(52)(53)(54). However, some of those in clinical trials -these promising drugs included mTOR inhibitors (55,56), somatostatin analogs (57,58), ACEI/ ARB (59,60), and tyrosine kinase inhibitor (61) -did not prevent the decline of EGFR in ADPKD patients.…”
“…The annual increase in TKV has been estimated to be around 5% 7, 10 per year, suggesting that TKV measurement should be accurate to capture small changes over time. The most commonly used methods for kidney volume computation such as manual delineation and stereology 13 are simple but time consuming and subject to intra/inter-observer variability.…”
Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most common inherited disorder of the kidneys. It is characterized by enlargement of the kidneys caused by progressive development of renal cysts, and thus assessment of total kidney volume (TKV) is crucial for studying disease progression in ADPKD. However, automatic segmentation of polycystic kidneys is a challenging task due to severe alteration in the morphology caused by non-uniform cyst formation and presence of adjacent liver cysts. In this study, an automated segmentation method based on deep learning has been proposed for TKV computation on computed tomography (CT) dataset of ADPKD patients exhibiting mild to moderate or severe renal insufficiency. The proposed method has been trained (n = 165) and tested (n = 79) on a wide range of TKV (321.2–14,670.7 mL) achieving an overall mean Dice Similarity Coefficient of 0.86 ± 0.07 (mean ± SD) between automated and manual segmentations from clinical experts and a mean correlation coefficient (ρ) of 0.98 (p < 0.001) for segmented kidney volume measurements in the entire test set. Our method facilitates fast and reproducible measurements of kidney volumes in agreement with manual segmentations from clinical experts.
“…Recent studies have used changes in TKV as a primary endpoint [9,12]. The role of TKV in evaluating ADPKD progression and its possible role as a surrogate endpoint in randomized clinical trials has also been reviewed [18]. However, some studies have indicated a lack of correlation between TKV growth rate and decline in renal function [19,20], leading to discussions regarding the use of TKV as a secondary endpoint.…”
Background: Autosomal dominant polycystic kidney disease (ADPKD) is the commonest inherited renal disorder; it is defined by progressive renal cyst formation and subsequent renal enlargement that leads to end-stage renal disease. Until recently, only symptomatic treatments for ADPKD existed. However, therapies that address the underlying pathophysiology of ADPKD are now available and accurate identification of the rate of disease progression is essential. Summary: Published data on the different imaging modalities for measuring kidney and cyst volumes in ADPKD are reviewed. The advantages and drawbacks of the different techniques for calculating kidney volume from renal imaging are also examined, including the use of manual planimetry, stereology, and the ellipsoid equation, as well as the prospect of semi- and fully automatic techniques. The translation of these approaches into clinical practice and their role in informing treatment decisions is discussed. Key Messages: These new therapies require the accurate monitoring of disease progression, which along with diagnosis and prognosis, relies on the effective use of renal imaging techniques. There is growing support for the use of total kidney volume as a measure of cyst burden and as a prognostic predictor of renal function in ADPKD, showing promise as a marker of disease progression.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.