title: Dynamic tissue perfusion measurement: a new tool for characterizing renal perfusion in renal cell carcinoma patients.
abstract: BACKGROUND
  Renal cell carcinoma (RCC) is characterized by intense angiogenesis with hyperexpression of proangiogenic factors. This study explored the potential of dynamic tissue perfusion measurement (DTPM) to detect differences in tissue perfusion between kidneys with RCC and corresponding healthy kidneys.
  
  
  METHODS
  30 patients with unilateral, histologically confirmed RCC underwent DTPM by color Doppler ultrasound. Before scheduled surgery, Doppler ultrasound data were acquired from four transverse areas of the affected kidney and the contralateral healthy kidney. Doppler ultrasound data were recorded over a 10-second period and characteristic tissue perfusion parameters were determined.
  
  
  RESULTS
  The kidneys with RCC displayed characteristic changes in perfusion parameters. A significant increase in signal intensity and a significant decrease in flow resistance were noted. A combination of several DTPM parameters was used to distinguish correctly between kidneys bearing RCC or healthy kidneys with up to 75% accuracy. There was no association between the perfusion parameters and the pathological characteristics of the respective tumors.
  
  
  CONCLUSIONS
  DTPM is a promising tool for the evaluation of whole-organ tissue perfusion. This study demonstrates the feasibility of performing DTPM measurements in kidneys bearing RCC lesions. In tumors that are characterized by extensive neovascularization, this method has the potential to be a valuable diagnostic tool.
authors.affiliation: Department of Urology, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
authors.forename: Clemens
authors.initials: C
authors.lastname: Rosenbaum
authors.forename: Sven
authors.initials: S
authors.lastname: Wach
authors.forename: Frank
authors.initials: F
authors.lastname: Kunath
authors.forename: Bernd
authors.initials: B
authors.lastname: Wullich
authors.forename: Thomas
authors.initials: T
authors.lastname: Scholbach
authors.forename: Dirk G
authors.initials: DG
authors.lastname: Engehausen
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001783:Blood Flow Velocity; D002292:Carcinoma, Renal Cell / Q000098:blood supply* / Q000000981:diagnostic imaging* / Q000473:pathology; D005260:Female; D006801:Humans; D007680:Kidney Neoplasms / Q000098:blood supply* / Q000000981:diagnostic imaging* / Q000473:pathology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009389:Neovascularization, Pathologic; D055420:Perfusion Imaging / Q000379:methods*; D011237:Predictive Value of Tests; D012039:Regional Blood Flow; D012079:Renal Circulation; D012189:Retrospective Studies; D013997:Time Factors; D018615:Ultrasonography, Doppler, Color; D014655:Vascular Resistance