A Pilot Clinical Study in Characterization of Malignant Renal-cell Carcinoma Subtype with Contrast-enhanced Ultrasound

Sandeep K. Kasoji, Emily H. Chang, Lee B. Mullin, Wui K. Chong, W. Kimryn Rathmell, Paul A. Dayton

Research output: Contribution to journalArticle

  • 3 Citations

Abstract

Malignant renal cell carcinoma (RCC) is a diverse set of diseases, which are independently difficult to characterize using conventional MRI and CT protocols due to low temporal resolution to study perfusion characteristics. Because different disease subtypes have different prognoses and involve varying treatment regimens, the ability to determine RCC subtype non-invasively is a clinical need. Contrast-enhanced ultrasound (CEUS) has been assessed as a tool to characterize kidney lesions based on qualitative and quantitative assessment of perfusion patterns, and we hypothesize that this technique might help differentiate disease subtypes. Twelve patients with RCC confirmed pathologically were imaged using contrast-enhanced ultrasound. Time intensity curves were generated and analyzed quantitatively using 10 characteristic metrics. Results showed that peak intensity (p = 0.001) and time-to-80% on wash-out (p = 0.004) provided significant differences between clear cell, papillary, and chromophobe RCC subtypes. These results suggest that CEUS may be a feasible test for characterizing RCC subtypes.

LanguageEnglish (US)
Pages126-136
Number of pages11
JournalUltrasonic Imaging
Volume39
Issue number2
DOIs
StatePublished - Mar 1 2017

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Renal Cell Carcinoma
Perfusion
Clinical Studies
Kidney

Keywords

  • contrast-enhanced ultrasound
  • microbubbles
  • renal cell carcinoma
  • renal perfusion
  • time intensity curve

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

Cite this

A Pilot Clinical Study in Characterization of Malignant Renal-cell Carcinoma Subtype with Contrast-enhanced Ultrasound. / Kasoji, Sandeep K.; Chang, Emily H.; Mullin, Lee B.; Chong, Wui K.; Rathmell, W. Kimryn; Dayton, Paul A.

In: Ultrasonic Imaging, Vol. 39, No. 2, 01.03.2017, p. 126-136.

Research output: Contribution to journalArticle

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