View clinical trials related to Polycystic Liver Disease.
Filter by:Patients with large hepatic cysts (> 5cm) may develop symptoms. These can be captured with the polycystic liver disease questionnaire (PLD-Q). Treatment of large hepatic cysts consists of aspiration sclerotherapy or laparoscopic fenestration. The safety and efficacy of both procedures has been explored in two recent systematic reviews yet no evident conclusion regarding superiority of either procedure could be drawn. The main objective of the ATLAS trial is to compare laparoscopic fenestration and aspiration sclerotherapy in patients with large symptomatic hepatic cysts on patient-reported outcomes.
Multicenter trial on the effect of the GnRH analogue leuprorelin on the growth of total liver volume in pre-menopausal women with very severe polycystic liver disease who, despite available therapy, experience growth and are heading for liver transplantation.
Multicentre, observational registry studying the natural course of polycystic liver disease.
Assessing the volume of the liver before surgery, predicting the volume of liver remaining after surgery, detecting primary or secondary lesions in the liver parenchyma are common applications that require optimal detection of liver contours, and therefore liver segmentation. Several manual and laborious, semi-automatic and even automatic techniques exist. However, severe pathology deforming the contours of the liver (multi-metastatic livers...), the hepatic environment of similar density to the liver or lesions, the CT examination technique are all variables that make it difficult to detect the contours. Current techniques, even automatic ones, are limited in this type of case (not rare) and most often require readjustments that make automatisation lose its value. All these criteria of segmentation difficulties are gathered in the livers of hepatorenal polycystosis, which therefore constitute an adapted study model for the development of an automatic segmentation tool. To obtain an automatic segmentation of any lesional liver, by exceeding the criteria of difficulty considered, investigators have developed a convolutional neural network (artificial intelligence - deep learning) useful for clinical practice.
This Pilot study will enable development & assessment of a Polycystic Liver Disease-specific patient reported outcomes questionnaire (PLD-Q). Polycystic liver disease (PLD) is characterized by the formation of numerous cysts in the liver, and can lead to severe symptomatic hepatomegaly. It is common in patients with autosomal dominant polycystic liver disease (ADPLD) and autosomal dominant polycystic kidney disease (ADPKD).