Abstract
Objective
To assess the diagnostic performance of the apparent diffusion coefficient (ADC) in predicting the Fuhrman nuclear grading of clear cell renal cell carcinomas (ccRCC).
Materials and methods
A total of 129 patients who underwent partial and radical nephrectomies with pathology-proven ccRCC were retrospectively evaluated. Histopathological characteristics and nuclear grades were analyzed. In addition, conventional magnetic resonance imaging (MRI) features were assessed in consensus by two radiologists to discriminate nuclear grading. ADC values were obtained from a region of interest (ROI) measurement in the ADC maps calculated from diffusion-weighted imaging (DWI) using b values of 50, 500, and 800 s/mm2. The threshold values for predicting and differentiating low-grade cancers (Fuhrman I–II) from high grade (Fuhrman III–IV) was obtained using binary logistic regression. The ADC cut-off value for differentiating low- and high-grade tumors was determined using classification analysis.
Results
Significant associations (P < 0.001) were found between nuclear grading, conventional MR features, and DWI. Hemorrhage, necrosis, perirenal fat invasion, enhancement homogeneity, and cystic component were identified as independent predictors of tumor grade. High-grade ccRCC had significantly lower mean ADC values compared to low-grade tumors. An ADC cut-off value of 1.6 × 10−3 mm2/s had an optimal predictive percentage of 65.5% for low-grade tumors above this threshold and 81% for high-grade ccRCC below this threshold. Overall predictive accuracy was 70.5%.
Conclusion
The addition of ADC values to a model based on MRI conventional features demonstrates increased sensitivity and high specificity improving the distinguishing accuracy between both high-grade and low-grade ccRCC.
Similar content being viewed by others
References
Kleihues P, Sobin L (2004) Pathology and genetics of tumours of the urinary system and male genital organs. Lyon: World Health Organization Classification of Tumours International Agency for Research on Cancer (IARC), pp 9–11
Znaor A, Lortet-Tieulent J, Laversanne M, Jemal A, Bray F (2015) International variations and trends in renal cell carcinoma incidence and mortality. Eur Urol 67:519–530
Delahunt B, Cheville JC, Martignoni G, et al. (2013) The International Society of Urological Pathology (ISUP) grading system for renal cell carcinoma and other prognostic parameters. Am J Surg Pathol 37:1490–1504
Lohse CM, Blute ML, Zincke H, Weaver AL, Cheville JC (2002) Comparison of standardized and nonstandardized nuclear grade of renal cell carcinoma to predict outcome among 2,042 patients. Am J Clin Pathol 118:877–886
Fuhrman SA, Lasky LC, Limas C (1982) Prognostic significance of morphologic parameters in renal cell carcinoma. Am J Surg Pathol 6:655–663
Delahunt B (2009) Advances and controversies in grading and staging of renal cell carcinoma. Mod Pathol 22(Suppl 2):S24–S36
Chen J, Ding J, Wu C, et al. (2013) Preoperatively evaluating the correlation between pathological grades and blood oxygenation level-dependent MRI in clear cell renal cell carcinomas. Acad Radiol 20:224–230
Bhatt JR, Finelli A (2014) Landmarks in the diagnosis and treatment of renal cell carcinoma. Nat Rev Urol 11:517–525
Gandaglia G, Ravi P, Abdollah F, et al. (2014) Contemporary incidence and mortality rates of kidney cancer in the United States. Can Urol Assoc J 8:247–252
Sun M, Thuret R, Abdollah F, et al. (2011) Age-adjusted incidence, mortality, and survival rates of stage-specific renal cell carcinoma in North America: a trend analysis. Eur Urol 59:135–141
Volpe A, Panzarella T, Rendon RA, et al. (2004) The natural history of incidentally detected small renal masses. Cancer 100:738–745
Cornelis F, Tricaud E, Lasserre AS, et al. (2015) Multiparametric magnetic resonance imaging for the differentiation of low and high grade clear cell renal carcinoma. Eur Radiol 25:24–31
Squillaci E, Manenti G, Cova M, et al. (2004) Correlation of diffusion-weighted MR imaging with cellularity of renal tumours. Anticancer Res 24:4175–4179
Kierans AS, Rusinek H, Lee A, et al. (2014) Textural differences in apparent diffusion coefficient between low- and high-stage clear cell renal cell carcinoma. AJR Am J Roentgenol 203:W637–W644
Doganay S, Kocakoc E, Cicekci M, et al. (2011) Ability and utility of diffusion-weighted MRI with different b values in the evaluation of benign and malignant renal lesions. Clin Radiol 66:420–425
Dodelzon K, Mussi TC, Babb JS, Taneja SS, Rosenkrantz AB (2012) Prediction of growth rate of solid renal masses: utility of MR imaging features—preliminary experience. Radiology 262:884–893
Taouli B, Thakur RK, Mannelli L, et al. (2009) Renal lesions: characterization with diffusion-weighted imaging versus contrast-enhanced MR imaging. Radiology 251:398–407
Sandrasegaran K, Sundaram CP, Ramaswamy R, et al. (2010) Usefulness of diffusion-weighted imaging in the evaluation of renal masses. AJR Am J Roentgenol 194:438–445
Kang SK, Zhang A, Pandharipande PV, et al. (2015) DWI for renal mass characterization: systematic review and meta-analysis of diagnostic test performance. AJR Am J Roentgenol 205:317–324
Goyal A, Sharma R, Bhalla AS, et al. (2012) Diffusion-weighted MRI in renal cell carcinoma: a surrogate marker for predicting nuclear grade and histological subtype. Acta Radiol 53:349–358
Rosenkrantz AB, Niver BE, Fitzgerald EF, et al. (2010) Utility of the apparent diffusion coefficient for distinguishing clear cell renal cell carcinoma of low and high nuclear grade. AJR Am J Roentgenol 195:W344–W351
Divine G, Norton HJ, Hunt R, Dienemann J (2013) Statistical grand rounds: a review of analysis and sample size calculation considerations for Wilcoxon tests. Anesth Analg 117:699–710
Dexter F (2013) Wilcoxon-Mann-Whitney test used for data that are not normally distributed. Anesth Analg 117:537–538
Hothorn T, Hornik K, Zeileis A (2006) Unbiased recursive partitioning: a conditional inference framework. J Comput Graph Stat 15:651–674
Xie Y, Ma X, Gu L, et al. (2016) Prognostic and clinicopathological significance of survivin expression in renal cell carcinoma: a systematic review and meta-analysis. Sci Rep 6:29794
Taouli B, Beer AJ, Chenevert T, et al. (2016) Diffusion-weighted imaging outside the brain: consensus statement from an ISMRM-sponsored workshop. J Magn Reson Imaging 44:521–540
Baliyan V, Das CJ, Sharma S, Gupta AK (2014) Diffusion-weighted imaging in urinary tract lesions. Clin Radiol 69:773–782
Wang Y, Chen ZE, Nikolaidis P, et al. (2011) Diffusion-weighted magnetic resonance imaging of pancreatic adenocarcinomas: association with histopathology and tumor grade. J Magn Reson Imaging 33:136–142
Luna A, Pahwa S, Bonini C, et al. (2016) Multiparametric MR imaging in abdominal malignancies. Magn Reson Imaging Clin N Am 24:157–186
Koh DM, Lee JM, Bittencourt LK, Blackledge M, Collins DJ (2016) Body diffusion-weighted MR imaging in oncology: imaging at 3 T. Magn Reson Imaging Clin N Am 24:31–44
Pedrosa I, Chou MT, Ngo L, et al. (2008) MR classification of renal masses with pathologic correlation. Eur Radiol 18:365–375
Vargas HA, Delaney HG, Delappe EM, et al. (2013) Multiphasic contrast-enhanced MRI: single-slice versus volumetric quantification of tumor enhancement for the assessment of renal clear-cell carcinoma fuhrman grade. J Magn Reson Imaging 37:1160–1167
Kang SK, Huang WC, Pandharipande PV, Chandarana H (2014) Solid renal masses: what the numbers tell us. AJR Am J Roentgenol 202:1196–1206
Hammond NA, Lostumbo A, Adam SZ, et al. (2015) Imaging of adrenal and renal hemorrhage. Abdom Imaging 40:2747–2760
Zhang YD, Wu CJ, Wang Q, et al. (2015) Comparison of utility of histogram apparent diffusion coefficient and R2* for differentiation of low-grade from high-grade clear cell renal cell carcinoma. AJR Am J Roentgenol 205:W193–W201
Bai X, Wu CL (2012) Renal cell carcinoma and mimics: pathologic primer for radiologists. AJR Am J Roentgenol 198:1289–1293
Beddy P, Genega EM, Ngo L, et al. (2014) Tumor necrosis on magnetic resonance imaging correlates with aggressive histology and disease progression in clear cell renal cell carcinoma. Clin Genitourin Cancer 12:55–62
Pichler M, Hutterer GC, Chromecki TF, et al. (2012) Histologic tumor necrosis is an independent prognostic indicator for clear cell and papillary renal cell carcinoma. Am J Clin Pathol 137:283–289
Cheville JC, Lohse CM, Zincke H, Weaver AL, Blute ML (2003) Comparisons of outcome and prognostic features among histologic subtypes of renal cell carcinoma. Am J Surg Pathol 27:612–624
Renshaw AA, Cheville JC (2015) Quantitative tumour necrosis is an independent predictor of overall survival in clear cell renal cell carcinoma. Pathology 47:34–37
Crispen PL, Wong YN, Greenberg RE, Chen DY, Uzzo RG (2008) Predicting growth of solid renal masses under active surveillance. Urol Oncol 26:555–559
Thompson RH, Kurta JM, Kaag M, et al. (2009) Tumor size is associated with malignant potential in renal cell carcinoma cases. J Urol 181:2033–2036
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Funding
No funding was received for this study.
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.
Informed consent
A waiver of informed consent was obtained for this study.
Rights and permissions
About this article
Cite this article
Parada Villavicencio, C., Mc Carthy, R.J. & Miller, F.H. Can diffusion-weighted magnetic resonance imaging of clear cell renal carcinoma predict low from high nuclear grade tumors. Abdom Radiol 42, 1241–1249 (2017). https://doi.org/10.1007/s00261-016-0981-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00261-016-0981-7