Literature DB >> 7890847

CT of renal densities caused by intravenous infusion of antibiotics.

R Starinsky1, J Barr, G Lushkov, M Segal, A Manor, A Golik.   

Abstract

OBJECTIVE: Patients treated with intravenous antibiotics were seen to have increased attenuation of the renal collecting system on CT scan of the abdomen. To detect whether this was related to certain antibiotics, we undertook a prospective study on patients being treated for sepsis while receiving intravenous antibiotics. In addition, we also tested antibiotics administered to rabbits.
MATERIALS AND METHODS: Fourteen patients were tested with cefazolin, gentamicin, cefotaxime, vancomycin, amoxicillin and clavulanic acid (Augmentin), and metronidazole. Ten groups of rabbits received these drugs by intravenous injection. Computed tomography scan of the kidneys was performed prior to and 2 h after intravenous injection of antibiotics. Fourteen patients who underwent CT scan of the abdomen and were treated by intravenous antibiotics were scanned without contrast agent injection.
RESULTS: According to our results, cefazolin, cefotaxime, and gentamicin seemed to be the most potent antibiotics in inducing increased attenuation of the collecting system. This effect was synergistic when a combination of drugs was used.
CONCLUSION: The elucidation of the potential increase in attenuation of the collecting system by antibiotics in normally functioning kidneys should help to eliminate confusion with other pathologies such as medullary sponge kidney.

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Year:  1995        PMID: 7890847     DOI: 10.1097/00004728-199503000-00012

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  3 in total

1.  Visualization of renal medullary hyperattenuation at unenhanced CT: what is the effect of furosemide administration?

Authors:  Rahi Kumar; Zhen J Wang; Yanjun Fu; Carlos Forsythe; Emily M Webb; Benjamin M Yeh
Journal:  Radiology       Date:  2010-05       Impact factor: 11.105

2.  Unenhanced CT findings can predict the development of urinary calculi in stone-free patients.

Authors:  Alexandru Ciudin; Maria Pilar Luque Galvez; Rafael Salvador Izquierdo; Agustin Franco de Castro; Eduardo Garcia-Cruz; Juan Alcover García; Jose Ricardo Alvarez-Vijande García; Carlos Nicolau; Antonio Alcaraz Asensio
Journal:  Eur Radiol       Date:  2012-05-10       Impact factor: 5.315

3.  Dense renal medulla sign.

Authors:  B Sureka; K Bansal; A Arora
Journal:  Indian J Nephrol       Date:  2016 May-Jun
  3 in total

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