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Clinical Article
Susceptibility weighted imaging in differentiating papillary from chromophobe renal cell carcinoma
ZHANG Yong-cheng  YU Sheng-nan  CHEN Jie  SUN Jun  XING Shi-jun  CHEN Tong-bing 

DOI:10.12015/issn.1674-8034.2016.12.006.


[Abstract] Objective: To differentiate papillary RCC (pRCC) from chromophobe RCC (CRCC) based on intratumoral susceptibility signals (ITSSs) detected on SWI.Materials and Methods: A retrospective review was performed on patients with CRCC (n=9) or pRCC (n=12) classified by pathology. The ITSSs were classified into hemorrhage and microvessels based on their morphology. Nonparametric Mann-Whitney test was used to compare the differences in the dominant structure of ITSSs, the number of intratumoral vessels and hemorrhagic lesions, and the ratio of ITSS area on SWI between pRCC and CRCC. The diagnostic values of the dominant structure of ITSSs, the number of intratumoral vessels and hemorrhagic lesions, and the ratio of ITSS area on SWI in differentiating pRCCs from CRCCs were compared by receiver operating characteristics (ROC).Results: ITSSs were seen in 18 of 21 patients. No ITSSs were seen in 3 patients with CRCC. Mean scores of dominant structures of ITSSs on SWI were significantly higher for pRCCs than that for CRCCs (P<0.005). There was significant difference of the ratio of ITSS area on SWI between pRCCs and CRCCs (P<0.05). The number of hemorrhagic lesions in pRCCs was significantly larger than that in CRCCs (P<0.05). The occurrence of intratumoral hemorrhage was more common in pRCCs (12/12, 100%) than that in CRCCs (6/9, 66.67%). The number of intratumoral hemorrhagic lesions revealed the highest positive predictive value (100%) and specificity (100%) as compared with other features, while the ratio of ITSS area on SWI showed the highest positive predictive value (87.5%) and sensitivity (88.89%).Conclusion: SWI is a useful technique to analyze the structural difference between pRCC and CRCC by the dominant structures ITSSs, the number of intratumoral hemorrhagic lesions, as well as the ratio of ITSS area on SWI.
[Keywords] Magnetic resonance imaging;Susceptibility weighted imaging;Kidney neoplasms;Carcinoma, renal cell;Subtype

ZHANG Yong-cheng Department of Radiology, Affiliated Third Hospital of Suzhou University, Changzhou 213000, China

YU Sheng-nan* Department of Radiology, Affiliated Third Hospital of Suzhou University, Changzhou 213000, China

CHEN Jie Department of Radiology, Affiliated Third Hospital of Suzhou University, Changzhou 213000, China

SUN Jun Department of Radiology, Affiliated Third Hospital of Suzhou University, Changzhou 213000, China

XING Shi-jun Department of Radiology, Affiliated Third Hospital of Suzhou University, Changzhou 213000, China

CHEN Tong-bing Department of Pathology, Affiliated Third Hospital of Suzhou University, Changzhou 213000, China

*Correspondence to: Yu SN, E-mail: 15851921163@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Natural Science Foundation of China No. 81371513
Received  2016-09-28
Accepted  2016-11-08
DOI: 10.12015/issn.1674-8034.2016.12.006
DOI:10.12015/issn.1674-8034.2016.12.006.

[1]
Nguyen DP, Vertosick EA, Corradi RB, et al. Histological subtype of renal cell carcinoma significantly affects survival in the era of partial nephrectomy. Urol Oncol, 2016, 34(6): 1-8.
[2]
Udager AM, Mehra R. Morphologic, molecular, and taxonomic evolution of renal cell carcinoma: a conceptual perspective with emphasis on updates to the 2016 World Health Organization Classification. Arch Pathol Lab Med, 2016, 140(10): 1026-1037.
[3]
Young JR, Margolis D, Sauk S, et al. Clear cell renal cell carcinoma: discrimination from other renal cell carcinoma subtypes and oncocytoma at multiphasic multidetector CT. Radiology, 2013, 267(2): 444-453.
[4]
Wang HY, Su ZH, Xu X, et al. Dynamic contrast-enhanced MR imaging in renal cell carcinoma: reproducibility of histogram analysis on pharmacokinetic parameters. Sci Rep, 2016, 6: 29146.
[5]
Li RK, Zeng MS, Rao SX, et al. Using a 2D multibreath-hold susceptibility-weighted imaging to visualize intratumoral hemorrhage of hepatocellular carcinoma at 3.0 T MRI: correlation with pathology. J Magn Reson Imaging, 2012, 36(4): 900-906.
[6]
Chen J, Sun J, Xing W, et al. Prediction of nuclear grade of clear cell renal cell carcinoma with MRI: intratumoral susceptibility signal intensity versus necrosis. Acta Radiol, 2014, 55(3): 378-384.
[7]
Park MJ, Kim HS, Jahng GH, et al. Semiquantitative assessment of intratumoral susceptibility signals using non-contrast-enhanced high-field high-resolution susceptibility-weighted imaging in patients with gliomas: comparison with MR perfusion imaging. AJNR Am J Neuroradiol, 2009, 30(7): 1402-1408.
[8]
Chen J, Ding J, Dai Y, et al. Assessment of intratumoral micromorphology for patients with clear cell renal cell carcinoma using susceptibility-weighted imaging. PLoS One, 2013, 8(6): 65866.
[9]
Xing W, He X, Kassir MA, et al. Evaluating hemorrhage in renal cell carcinoma using susceptibility weighted imaging. PLoS One, 2013,8(2): 57691.
[10]
Niwa T, Aida N, Osaka H, et al. Intracranial hemorrhage and tortuosity of veins detected on susceptibility-weighted imaging of a child with a type IV collagen alpha1 mutation and schizencephaly. Magn Reson Med Sci, 2015, 14(3): 223-226.
[11]
Schelhorn J, Gramsch C, Deuschl C, et al. Intracranial hemorrhage detection over time using susceptibility-weighted magnetic resonance imaging. Acta Radiol, 2015, 56(12): 1501-1507.
[12]
Ding Y, Xing Z, Liu B, et al. Differentiation of primary central nervous system lymphoma from high-grade glioma and brain metastases using susceptibility-weighted imaging. Brain Behav, 2014, 4(6): 841-849.
[13]
Klatte T, Said JW, Seligson DB, et al. Pathological, immunohistochemical and cytogenetic features of papillary renal cell carcinoma with clear cell features. J Urol, 2011, 185(1): 30-35.
[14]
Verine J. Papillary renal-cell carcinoma. N Engl J Med, 2016, 374(20): 1990-1991.
[15]
Gargouri MM, Bargaoui W, Kallel Y, et al. Papillary renal cell carcinoma: clinic and pathological study about 27 cases. Tunis Med, 2015, 93(6): 381-385.
[16]
Pedrosa I, Chou MT, Ngo L, et al. MR classification of renal masses with pathologic correlation. Eur Radiol, 2008, 18(2): 365-375.
[17]
Kisseleva EP, Krylov AV, Lyamina IV, et al. Role of vascular endothelial growth factor (VEGF) in thymus of mice under normal conditions and with tumor growth. Biochemistry (Mosc), 2016, 81(5): 491-501.
[18]
Shim SR, Kim SJ, Kim SI, et al. Prognostic value of the Glasgow Prognostic Score in renal cell carcinoma: a meta-analysis. World J Urol.2016. DOI: 10.1007/s00345-016-1940-1.

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