Literature DB >> 24450674

In vivo predictors of renal cyst pseudoenhancement at 120 kVp.

Jeet Patel1, Matthew S Davenport, Shokoufeh Khalatbari, Richard H Cohan, James H Ellis, Joel F Platt.   

Abstract

OBJECTIVE: The purpose of this article is to assess the effects of various CT, patient, and renal cyst characteristics on the occurrence of pseudoenhancement in in vivo renal mass CT examinations using subtraction MRI as the reference standard.
MATERIALS AND METHODS: Adult patients imaged with 120-kVp standard kernel biphasic renal mass protocol CT and dynamic contrast-enhanced MRI of the abdomen from January 1, 2005, through May 4, 2012, were identified. Those with nonenhancing Bosniak categories I and II cysts on MRI were selected (n = 33 patients; 110 cysts). By treating measured cyst enhancement (nephrographic CT attenuation minus unenhanced CT attenuation) as either a continuous or categoric outcome variable, a variety of CT, patient-level, and renal cyst characteristics were assessed using mixed effect multivariate models.
RESULTS: On univariate assessment, cysts that exhibited pseudoenhancement (> 10 HU) were significantly more endophytic (p = 0.02), significantly smaller (p = 0.0004), and adjacent to significantly higher attenuation renal parenchyma in the nephrographic phase (p = 0.02). On multivariate assessment, cyst diameter (p < 0.0001) and background nephrographic phase parenchymal attenuation (p = 0.003) were the strongest in vivo predictors of pseudoenhancement. The odds of pseudoenhancement occurring increased by 2.14 (95% CI, 1.41-3.23) for every 5-mm decrease in renal cyst diameter and increased by 2.45 (95% CI, 1.41-4.26) for every 25-HU increase in enhanced renal parenchymal attenuation. Endophytic growth was not significant in the multivariate analyses (p = 0.07).
CONCLUSION: Renal cyst size and enhanced renal parenchymal attenuation are better in vivo predictors of pseudoenhancement than is endophytic growth pattern.

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Year:  2014        PMID: 24450674      PMCID: PMC4328313          DOI: 10.2214/AJR.13.10915

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  17 in total

1.  Pseudoenhancement of simulated renal cysts in a phantom using different multidetector CT scanners.

Authors:  Cedela Abdulla; Mannudeep K Kalra; Sanjay Saini; Michael M Maher; Aamir Ahmad; Elkan Halpern; Stuart G Silverman
Journal:  AJR Am J Roentgenol       Date:  2002-12       Impact factor: 3.959

2.  Renal cyst pseudoenhancement: evaluation with an anthropomorphic body CT phantom.

Authors:  Bernard A Birnbaum; Daniel D Maki; Dev P Chakraborty; Jill E Jacobs; James S Babb
Journal:  Radiology       Date:  2002-10       Impact factor: 11.105

3.  Renal cyst pseudoenhancement: beam-hardening effects on CT numbers.

Authors:  D D Maki; B A Birnbaum; D P Chakraborty; J E Jacobs; B M Carvalho; G T Herman
Journal:  Radiology       Date:  1999-11       Impact factor: 11.105

4.  Renal cyst pseudoenhancement with beam hardening effect on CT attenuation.

Authors:  Takehiko Gokan; Yoshimitsu Ohgiya; Hirotsugu Munechika; Hiroshi Nobusawa; Masanori Hirose
Journal:  Radiat Med       Date:  2002 Jul-Aug

5.  Pseudoenhancement of simple renal cysts: a comparison of single and multidetector helical CT.

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Journal:  J Comput Assist Tomogr       Date:  2002 Jan-Feb       Impact factor: 1.826

6.  Renal cyst pseudoenhancement at 16- and 64-dector row MDCT.

Authors:  Victor Sai; Rebecca Rakow-Penner; Benjamin M Yeh; Fergus V Coakley; Antonio C Westphalen; Emma M Webb; Zhen J Wang
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7.  The environmental density artifact: a beam-hardening effect in computed tomography.

Authors:  P S Rao; R J Alfidi
Journal:  Radiology       Date:  1981-10       Impact factor: 11.105

8.  Renal cysts: is attenuation artifactually increased on contrast-enhanced CT images?

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Journal:  Radiology       Date:  2000-09       Impact factor: 11.105

9.  Renal masses: quantitative assessment of enhancement with dynamic MR imaging.

Authors:  Vincent B Ho; Scott F Allen; Maureen N Hood; Peter L Choyke
Journal:  Radiology       Date:  2002-09       Impact factor: 11.105

10.  Renal masses: quantitative analysis of enhancement with signal intensity measurements versus qualitative analysis of enhancement with image subtraction for diagnosing malignancy at MR imaging.

Authors:  Elizabeth M Hecht; Gary M Israel; Glenn A Krinsky; Winnie Y Hahn; Danny C Kim; Ilana Belitskaya-Levy; Vivian S Lee
Journal:  Radiology       Date:  2004-06-23       Impact factor: 11.105

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  3 in total

Review 1.  CT and MRI of small renal masses.

Authors:  Zhen J Wang; Antonio C Westphalen; Ronald J Zagoria
Journal:  Br J Radiol       Date:  2018-05-10       Impact factor: 3.039

Review 2.  Bosniak Classification of Cystic Renal Masses, Version 2019: An Update Proposal and Needs Assessment.

Authors:  Stuart G Silverman; Ivan Pedrosa; James H Ellis; Nicole M Hindman; Nicola Schieda; Andrew D Smith; Erick M Remer; Atul B Shinagare; Nicole E Curci; Steven S Raman; Shane A Wells; Samuel D Kaffenberger; Zhen J Wang; Hersh Chandarana; Matthew S Davenport
Journal:  Radiology       Date:  2019-06-18       Impact factor: 11.105

Review 3.  Bosniak classification of cystic renal masses, version 2019: interpretation pitfalls and recommendations to avoid misclassification.

Authors:  Elizabeth Edney; Matthew S Davenport; Nicole Curci; Nicola Schieda; Satheesh Krishna; Nicole Hindman; Stuart G Silverman; Ivan Pedrosa
Journal:  Abdom Radiol (NY)       Date:  2021-01-23
  3 in total

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