Literature DB >> 34286596

Association of Clear Cell Likelihood Score on MRI and Growth Kinetics of Small Solid Renal Masses on Active Surveillance.

Robert G Rasmussen1, Yin Xi1, R Carson Sibley1, Christopher J Lee2, Jeffrey A Cadeddu3, Ivan Pedrosa1.   

Abstract

BACKGROUND. The lack of validated imaging markers to characterize biologic aggressiveness of small renal masses (SRMs)-defined as those categorized as cT1a and 4 cm and smaller-hinders medical decision-making among available initial management strategies. OBJECTIVE. The purpose of this article was to explore the association of the clear cell likelihood score (ccLS) on MRI with growth rates and progression of SRMs. METHODS. This retrospective study included consecutive SRMs assigned a ccLS on clinical MRI examinations performed between June 2016 and November 2019 at an academic tertiary-care medical center or its affiliated safety net hospital system. The ccLS reports the likelihood that the SRM represents clear cell renal cell carcinoma (ccRCC) from 1 (very unlikely) to 5 (very likely). The ccLS was extracted from clinical reports. Tumor size measurements were extracted from available prior and follow-up cross-sectional imaging examinations, through June 2020. Serial tumor size measurements were fit to linear and exponential growth curves. Estimated growth rates were grouped by the assigned ccLS. Tumor progression was defined by development of large size (> 4 cm in at least two consecutive measurements) and/or rapid growth (doubling of volume within 1 year). Differences among ccLS groups were evaluated using Kruskal-Wallis tests. Correlations between ccLS and growth rate were evaluated by Spearman correlation (ρ). RESULTS. Growth rates of 386 SRMs (100 ccLS 1-2, 75 ccLS 3, and 211 ccLS 4-5) from 339 patients (median age, 65 years; 198 men, 141 women) were analyzed. Median follow-up was 1.2 years. The ccLS was correlated with growth rates by size (ρ = 0.19; p < .001; ccLS 4-5, 9%/year; ccLS 1-2, 5%/year; p < .001) and by volume (ρ = 0.14; p = .006; ccLS 4-5, 29%/year; ccLS 1-2, 16%/year; p < .001). Disease progression (observed in 49 SRMs) was not significantly associated with ccLS group (p = .61). Two patients (0.6%) developed metastases during active surveillance: one ccLS 1 was a type 2 papillary renal cell carcinoma and one ccLS 4 was ccRCC. CONCLUSION. Growth is associated with ccLS in SRMs, with higher ccLS correlating with faster growth. CLINICAL IMPACT. SRMs with lower ccLS may be considered for active surveillance, whereas SRMs with higher ccLS may warrant earlier intervention. The noninvasive ccLS derived from MRI correlates with growth rate of SRMs and may help guide personalized management.

Entities:  

Keywords:  MRI; active surveillance; growth kinetics; renal cell carcinoma

Mesh:

Year:  2021        PMID: 34286596      PMCID: PMC8725913          DOI: 10.2214/AJR.21.25979

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   6.582


  18 in total

1.  Growth Kinetics of Small Renal Masses on Active Surveillance: Variability and Results from the DISSRM Registry.

Authors:  Akachimere C Uzosike; Hiten D Patel; Ridwan Alam; Zeyad R Schwen; Mohit Gupta; Michael A Gorin; Michael H Johnson; Heather Gausepohl; Mark F Riffon; Bruce J Trock; Peter Chang; Andrew A Wagner; James M McKiernan; Mohamad E Allaf; Phillip M Pierorazio
Journal:  J Urol       Date:  2017-09-23       Impact factor: 7.450

2.  Prediction of growth rate of solid renal masses: utility of MR imaging features--preliminary experience.

Authors:  Katerina Dodelzon; Thais C Mussi; James S Babb; Samir S Taneja; Andrew B Rosenkrantz
Journal:  Radiology       Date:  2012-01-20       Impact factor: 11.105

3.  Small Renal Mass Surveillance: Histology-specific Growth Rates in a Biopsy-characterized Cohort.

Authors:  Antonio Finelli; Douglas C Cheung; Ashraf Al-Matar; Andrew J Evans; Christopher G Morash; Stephen E Pautler; D Robert Siemens; Simon Tanguay; Ricardo A Rendon; Martin E Gleave; Darrel E Drachenberg; Joseph L Chin; Neil E Fleshner; Masoom A Haider; John R Kachura; Jenna Sykes; Michael A S Jewett
Journal:  Eur Urol       Date:  2020-07-14       Impact factor: 20.096

Review 4.  Imaging of Solid Renal Masses.

Authors:  Fernando U Kay; Ivan Pedrosa
Journal:  Radiol Clin North Am       Date:  2016-12-12       Impact factor: 2.303

5.  Role of Virtual Biopsy in the Management of Renal Masses.

Authors:  Alberto Diaz de Leon; Matthew S Davenport; Stuart G Silverman; Nicola Schieda; Jeffrey A Cadeddu; Ivan Pedrosa
Journal:  AJR Am J Roentgenol       Date:  2019-04-17       Impact factor: 3.959

6.  Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging to Identify Clear Cell Renal Cell Carcinoma in cT1a Renal Masses.

Authors:  Noah E Canvasser; Fernando U Kay; Yin Xi; Daniella F Pinho; Daniel Costa; Alberto Diaz de Leon; Gaurav Khatri; John R Leyendecker; Takeshi Yokoo; Aaron Lay; Nicholas Kavoussi; Ersin Koseoglu; Jeffrey A Cadeddu; Ivan Pedrosa
Journal:  J Urol       Date:  2017-04-28       Impact factor: 7.450

Review 7.  How We Do It: Managing the Indeterminate Renal Mass with the MRI Clear Cell Likelihood Score.

Authors:  Ivan Pedrosa; Jeffrey A Cadeddu
Journal:  Radiology       Date:  2021-12-14       Impact factor: 29.146

8.  Diagnostic performance of prospectively assigned clear cell Likelihood scores (ccLS) in small renal masses at multiparametric magnetic resonance imaging.

Authors:  Brett A Johnson; Sandy Kim; Ryan L Steinberg; Alberto Diaz de Leon; Ivan Pedrosa; Jeffrey A Cadeddu
Journal:  Urol Oncol       Date:  2019-09-17       Impact factor: 3.498

9.  Growth kinetics of small renal masses: A prospective analysis from the Renal Cell Carcinoma Consortium of Canada.

Authors:  Michael Organ; Michael Jewett; Joan Basiuk; Christopher Morash; Stephen Pautler; D Robert Siemens; Simon Tanguay; Martin Gleave; Darrell Drachenberg; Raymond Chow; Joseph Chin; Andrew Evans; Neil Fleshner; Brenda Gallie; Masoom Haider; John Kachura; Antonio Finelli; Ricardo A Rendon
Journal:  Can Urol Assoc J       Date:  2014 Jan-Feb       Impact factor: 1.862

10.  Radiofrequency ablation (RFA) of renal cell carcinoma (RCC): experience in 200 tumours.

Authors:  Tze M Wah; Henry C Irving; Walter Gregory; Jon Cartledge; Adrian D Joyce; Peter J Selby
Journal:  BJU Int       Date:  2013-10-22       Impact factor: 5.588

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