Simple view
Full metadata view
Authors
Statistics
MRI-derived markers for predicting a decline in renal function in patients with autosomal dominant polycystic kidney disease
autosomal dominant polycystic kidney disease
total kidney volume
MRI
Bibliogr. s. e293-e294
Autosomal dominant polycystic kidney disease (ADPKD) constitutes the fourth cause of end-stage renal disease in Europe. The course of the disease varies widely among patients with ADPKD. Due to the emergence of new possibilities of pharmacotherapy, it has become crucial to identify the group of patients with the fastest rate and risk of disease progression. This particular group of patients will benefit most from the therapy and they are the best candidates for clinical trials. At the early stages of ADPKD typical markers of severity and progression of the disease remain unchanged in contrast to the kidney volume, which increases continuously in an exponential way. Therefore, the use of height-adjusted total kidney volume as a biomarker should become a mandatory diagnostic option. Also, quantitative MRI techniques are promising biomarkers for the evaluation of disease severity and could provide additional insights into its course.
| cris.lastimport.wos | 2024-04-09T18:12:40Z | |
| dc.abstract.en | Autosomal dominant polycystic kidney disease (ADPKD) constitutes the fourth cause of end-stage renal disease in Europe. The course of the disease varies widely among patients with ADPKD. Due to the emergence of new possibilities of pharmacotherapy, it has become crucial to identify the group of patients with the fastest rate and risk of disease progression. This particular group of patients will benefit most from the therapy and they are the best candidates for clinical trials. At the early stages of ADPKD typical markers of severity and progression of the disease remain unchanged in contrast to the kidney volume, which increases continuously in an exponential way. Therefore, the use of height-adjusted total kidney volume as a biomarker should become a mandatory diagnostic option. Also, quantitative MRI techniques are promising biomarkers for the evaluation of disease severity and could provide additional insights into its course. | pl |
| dc.contributor.author | Banach-Ambroziak, Ewa | pl |
| dc.contributor.author | Jankowska, Magdalena | pl |
| dc.contributor.author | Grzywińska, Małgorzata | pl |
| dc.contributor.author | Pieńkowska, Joanna | pl |
| dc.contributor.author | Szurowska, Edyta | pl |
| dc.date.accessioned | 2019-09-26T11:52:42Z | |
| dc.date.available | 2019-09-26T11:52:42Z | |
| dc.date.issued | 2019 | pl |
| dc.date.openaccess | 0 | |
| dc.description.accesstime | w momencie opublikowania | |
| dc.description.additional | Bibliogr. s. e293-e294 | pl |
| dc.description.physical | e289-e294 | pl |
| dc.description.version | ostateczna wersja wydawcy | |
| dc.description.volume | 84 | pl |
| dc.identifier.doi | 10.5114/pjr.2019.87763 | pl |
| dc.identifier.eissn | 1899-0967 | pl |
| dc.identifier.issn | 1733-134X | pl |
| dc.identifier.project | ROD UJ / OP | pl |
| dc.identifier.uri | https://ruj.uj.edu.pl/xmlui/handle/item/83499 | |
| dc.language | eng | pl |
| dc.language.container | eng | pl |
| dc.rights | Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa | * |
| dc.rights.licence | CC-BY-NC-ND | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl | * |
| dc.share.type | otwarte czasopismo | |
| dc.source.integrator | false | |
| dc.subject.en | autosomal dominant polycystic kidney disease | pl |
| dc.subject.en | total kidney volume | pl |
| dc.subject.en | MRI | pl |
| dc.subtype | ReviewArticle | pl |
| dc.title | MRI-derived markers for predicting a decline in renal function in patients with autosomal dominant polycystic kidney disease | pl |
| dc.title.journal | Polish Journal of Radiology | pl |
| dc.type | JournalArticle | pl |
| dspace.entity.type | Publication |
* The migration of download and view statistics prior to the date of April 8, 2024 is in progress.
Views
24
Views per month
Views per city
Downloads
Open Access