Literature DB >> 32255415

Clear Cell Renal Cell Carcinoma Growth Correlates with Baseline Diffusion-weighted MRI in Von Hippel-Lindau Disease.

Faraz Farhadi1, Moozhan Nikpanah1, Anna K Paschall1, Ahmad Shafiei1, Ashkan Tadayoni1, Mark W Ball1, W Marston Linehan1, Elizabeth C Jones1, Ashkan A Malayeri1.   

Abstract

Background Identification of markers to aid in understanding the growth kinetics of Von Hippel-Lindau (VHL)-associated clear cell renal cell carcinoma (ccRCC) has the potential to allow individualization of patient care, thereby helping prevent unnecessary screening and optimizing intervention. Purpose To determine whether the degree of restricted diffusion at baseline MRI holds predictive potential for the growth rate of VHL-associated ccRCC. Materials and Methods Patients with VHL disease who underwent surgical resection of tumors between November 2014 and October 2017 were analyzed retrospectively in this HIPAA-compliant study. The change in ccRCC volume between two time points and apparent diffusion coefficient (ADC) at baseline was calculated by using segmentations by two readers at nephrographic-phase CT and diffusion-weighted MRI, respectively. Intraclass correlation coefficient was used to assess agreement between readers. Repeated-measures correlation was used to investigate relationships between ADC (histogram parameters) and tumor size at baseline with growth rate and volume doubling time (VDT). Predictive performance of the ADC parameter with highest correlation and tumor size at baseline was reviewed to differentiate tumors based on their VDT (≤1 year or >1 year). Results Forty-six patients (mean age, 46 years ± 7 [standard deviation]; 25 women) with 100 ccRCCs were evaluated. Interreader agreement resulted in mean κ scores of 0.89, 0.82, and 0.93 for mean ADC, baseline tumor volume, and follow-up tumor volume, respectively. ADC percentiles correlated negatively with tumor growth rate but correlated positively with VDT. Lower ADC values demonstrated stronger correlations. The 25th percentile ADC had the strongest correlation with growth rate (ρ = -0.52, P < .001) and VDT (ρ = 0.60, P < .001) and enabled prediction of VDT (≤1 year or >1 year) with an area under the receiver operating characteristic curve of 0.86 (sensitivity, 67%; specificity, 89%) (P < .001). Conclusion Apparent diffusion coefficient at baseline was negatively correlated with tumor growth rate. Diffusion-weighted MRI may be useful to identify clear cell renal cell carcinomas with higher growth rates. © RSNA, 2020See also the editorial by Goh and Prezzi in this issue.

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Year:  2020        PMID: 32255415      PMCID: PMC7263323          DOI: 10.1148/radiol.2020191016

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  26 in total

1.  DWI-associated entire-tumor histogram analysis for the differentiation of low-grade prostate cancer from intermediate-high-grade prostate cancer.

Authors:  Chen-Jiang Wu; Qing Wang; Hai Li; Xiao-Ning Wang; Xi-Sheng Liu; Hai-Bin Shi; Yu-Dong Zhang
Journal:  Abdom Imaging       Date:  2015-10

Review 2.  Potential and limitations of diffusion-weighted magnetic resonance imaging in kidney, prostate, and bladder cancer including pelvic lymph node staging: a critical analysis of the literature.

Authors:  Gianluca Giannarini; Giuseppe Petralia; Harriet C Thoeny
Journal:  Eur Urol       Date:  2011-09-28       Impact factor: 20.096

Review 3.  Intraclass correlations: uses in assessing rater reliability.

Authors:  P E Shrout; J L Fleiss
Journal:  Psychol Bull       Date:  1979-03       Impact factor: 17.737

Review 4.  Genetic predisposition to kidney cancer.

Authors:  Laura S Schmidt; W Marston Linehan
Journal:  Semin Oncol       Date:  2016-09-22       Impact factor: 4.929

Review 5.  Imaging findings of hereditary renal tumors, a review of what the radiologist should know.

Authors:  Marcin Czarniecki; Rabindra Gautam; Peter L Choyke; Baris Turkbey
Journal:  Eur J Radiol       Date:  2018-02-02       Impact factor: 3.528

6.  Germline VHL gene variant in patients with von Hippel-Lindau disease does not predict renal tumor growth.

Authors:  Faraz Farhadi; Moozhan Nikpanah; Xiaobai Li; Rolf Symons; Amir Pourmorteza; Maria J Merino; W Marston Linehan; Ashkan A Malayeri
Journal:  Abdom Radiol (NY)       Date:  2018-10

7.  Volume doubling time and growth rate of renal cell carcinoma determined by helical CT: a single-institution experience.

Authors:  Ji Young Lee; Chan Kyo Kim; Dongil Choi; Byung Kwan Park
Journal:  Eur Radiol       Date:  2007-12-11       Impact factor: 5.315

8.  Diffusion-weighted MR imaging in laryngeal and hypopharyngeal carcinoma: association between apparent diffusion coefficient and histologic findings.

Authors:  Juliette P Driessen; Joana Caldas-Magalhaes; Luuk M Janssen; Frank A Pameijer; Nina Kooij; Chris H J Terhaard; Wilko Grolman; Marielle E P Philippens
Journal:  Radiology       Date:  2014-04-17       Impact factor: 11.105

Review 9.  von Hippel-Lindau disease.

Authors:  Russell R Lonser; Gladys M Glenn; McClellan Walther; Emily Y Chew; Steven K Libutti; W Marston Linehan; Edward H Oldfield
Journal:  Lancet       Date:  2003-06-14       Impact factor: 79.321

Review 10.  Technology insight: water diffusion MRI--a potential new biomarker of response to cancer therapy.

Authors:  Daniel M Patterson; Anwar R Padhani; David J Collins
Journal:  Nat Clin Pract Oncol       Date:  2008-02-26
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  1 in total

Review 1.  Diffusion-Weighted MRI in the Genitourinary System.

Authors:  Thomas De Perrot; Christine Sadjo Zoua; Carl G Glessgen; Diomidis Botsikas; Lena Berchtold; Rares Salomir; Sophie De Seigneux; Harriet C Thoeny; Jean-Paul Vallée
Journal:  J Clin Med       Date:  2022-03-30       Impact factor: 4.241

  1 in total

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