Literature DB >> 26516692

Computed tomography parameters can be used as predictive markers for the improvement of renal function in patients with retroperitoneal fibrosis.

L Gao1, H Wang2, Y Xu2, Z Zhang3.   

Abstract

OBJECTIVES: To discover the relationship between computed tomography (CT) parameters of retroperitoneal soft tissue of untreated retroperitoneal fibrosis patients and the variation of renal function after treatment.
METHODS: Data were collected retrospectively from 42 patients with established diagnosis of retroperitoneal fibrosis, at the Department of Rheumatology in Peking University First Hospital from May 2009 to April 2015. The demographic information, clinical characteristics, laboratory data, treatment and general therapeutic response were collected. The CT parameters such as radial lines, Hounsfield unit values, radiographic classification at baseline before the initiation of therapy were measured. Then the correlations between baseline CT parameters and clinical data were analysed.
RESULTS: The Hounsfield unit values of venous phase and delayed phase at baseline were negatively correlated with the change of estimated glomerular filtration rate (eGFR) at the 12th month after the initiation of medications. The baseline transverse diameters of the retroperitoneal soft tissue were larger in the group of eGFR <60 ml/min/1.73 m² compared with the group of eGFR ≥ 60 ml/min/1.73 m² at the 12th month, while the vertical diameters and maximum cross-section thickness were not. The baseline transverse diameters were also significantly correlated with the duration of intubation.
CONCLUSIONS: The baseline Hounsfield unit values and baseline transverse diameters of soft tissue of untreated retroperitoneal fibrosis patients may be used to predict the renal function after 12 months of therapy.

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Year:  2015        PMID: 26516692

Source DB:  PubMed          Journal:  Clin Exp Rheumatol        ISSN: 0392-856X            Impact factor:   4.473


  4 in total

1.  Idiopathic retroperitoneal fibrosis: clinical features and long-term renal function outcome.

Authors:  Mohamed H Zahran; Yasser Osman; Mohamed A Soltan; Ahmed Elhussein Abolazm; Mostafa K Ghazy; Ahmed M Harraz; Ahmed A Shokeir; Hassan Abol-Enein; Bedeir Ali-El-Dein
Journal:  Int Urol Nephrol       Date:  2017-05-13       Impact factor: 2.370

Review 2.  [New (and old) aspects of retroperitoneal fibrosis].

Authors:  A S Brandt; N M Dreger; E Müller; S Kukuk; S Roth
Journal:  Urologe A       Date:  2017-07       Impact factor: 0.639

Review 3.  [Modern tomography imaging techniques in urological diseases].

Authors:  Gita M Schoenberg; Viktoria Schuetz; Joanne N Nyarangi-Dix; Steffen J Diehl; Rafael Heiss; Boris Adamietz
Journal:  Urologe A       Date:  2022-03-09       Impact factor: 0.639

Review 4.  Retroperitoneal fibrosis - the state-of-the-art.

Authors:  Marta Runowska; Dominik Majewski; Mariusz Puszczewicz
Journal:  Reumatologia       Date:  2016-11-28
  4 in total

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