1916

The value of diffusion kurtosis imaging in evaluation of the pathological grade and correlation with angiogenesis and proliferative activity in clear cell renal cell carcinoma
qiang feng1

1yidu central hospital,weifang medical university, weifang, China

Synopsis

To investigate if the mean diffusivity (MD) and mean kurtosis (MK) allows assessment of renal clinical pathology. MK were better than MD values in identifying the grade of nuclear grade. A significant difference between high and low grade in MVD, MVA, and ki-67 was found.l DKI may predict angiogenesis and proliferative activity in CCRCC and make a plan for preoperative assessment.

synopsis

To investigate if the mean diffusivity (MD) and mean kurtosis (MK) allows assessment of renal clinical pathology. MK were better than MD values in identifying the grade of nuclear grade. A significant difference between high and low grade in MVD, MVA, and ki-67 was found.l DKI may predict angiogenesis and proliferative activity in CCRCC and make a plan for preoperative assessment.

introduction

To investigate if the mean diffusivity (MD) and mean kurtosis (MK) allows assessment of renal clinical pathology, including microvessel density (MVD), microvessel area (MVA), and ki-67.

methods

Thirty-three patients were enrolled in this study, with a clear cell renal cell carcinoma (CCRCC) confirmed by surgical pathology. For diffusion kurtosis imaging, a coronal echo planar imaging (EPI) sequence was performed (repetition time: 4000 ms; echo time: 99 ms; diffusion direction: 3; number of acquisitions: 4; b=0, 800, and 1600 s/mm2; and slice thickness: 4 mm with no intersection gap). MD, MK, MVD, MVA, and ki-67 were compared between the different nuclear grades. Correlations between MVD, MVA, and ki-67 and DKI parameters were evaluated.

results

The MDs of low grade and high grade CCRCCs were 2.43±0.11×10-3 mm2/s and 2.22±0.07×10-3 mm2/s, respectively. The MK was 0.73±0.03 and 0.82±0.04, respectively. MK were better than MD values in identifying the grade of nuclear grade. A significant difference between high and low grade in MVD, MVA, and ki-67 was found (t=-8.23, -15.47, and -7.84, respectively, P<0.05). Significant negative correlations between the MD value and MVD, MVA, and ki-67 were observed (r=-0.710, -0.746, and -0.733, respectively, P<0.05). Significant positive correlations between the MK value and MVD, MVA, and ki-67 were observed (r=0.787, 0.772, and 0.801, respectively, P<0.05).

conclusion and discussion

DKI identified renal pathologies associated with CCRCC by MD and MK values. MD correlated negatively with the degree of MVD, and ki-67, and MK showed opposite correlations. The larger volume, less extracellular space limits the movement of water molecules for high nuclear grade, and MK values are thought to be indices of tissue microstructural complexity and heterogeneity.The poor vascularization led to the relatively slow blood flow rate in the tumor blood vessels, less tumor stroma, and a lack of normal tubular structures that reduced the dispersion in the interstitial mass. Thus, DKI may be valuable for noninvasive preoperative surgical planning, therapeutic efficacy evaluations and evaluation of prognosis.

Acknowledgements

No

References

[1] Nguyen MM, GillIS, EllisonLM. The evolving presentation of renal carcinoma in the United States:trends from the Surveillance, Epidemiology,and End Results program. J Urol.2006;176:2397-2400. [2]Pertia A, Managadze L, Chkhotua A.The value of nephron- Sparing surgery for the treatment of renal cell carcinoma 4 to 7 cm in size. Georgian Med News.2012;212:7-12. [3] Ghavamian R, Cheville JC, Lohse CM, Weaver AL, Zincke H, Blute ML. Renal cell carcinoma in the solitary kidney: an analysis of complications and outcome after nephron sparing surgery. J Urol.2002;168:454-459. [4] Zhang JP, Yuan HX, Kong WT,Liu YJ,Lin ZM,Wang WP,Guo JM. Increased expression of Chitinase 3-like 1 and microvessel density predicts metastasis and poorprognosis in clear cell renal cell carcinoma. Tumour Biol. 2014;35(12):12131-7. [5] Sharma SG, Aggarwal N, Gupta SD, Singh MK, Gupta R, Dinda AK. Angiogenesis in renal cell carcinoma: correlation of microvessel density and microvessel area with other prognostic factors. Int Urol Nephrol. 2011,43(1):125-9. [6] Walter M, Simanovich E, Brod V, Lahat N , Bitterman H , Rahat MA . An epitope-specific novel anti-EMMPRIN polyclonal antibody inhibits tumor progression. Oncoimmunology.2015;5:e1078056. [7]Minamimoto R, Nakaigawa N, Nagashima Y, Toyohara J, Ueno D, Namura K, Nakajima K, Yao M, Kubota K. Comparison of (11)C-4DST and (18)F-FDG PET/CT imaging for advanced renal cell carcinoma: preliminary Study. Abdom Radiol (NY).2016;41:521-30. [8] Volpe, FinelliA, GillIS, Jewett MA , Martignoni G , Polascik TJ , Remzi M , Uzzo RG. Rationale for percutaneous biopsy and histologic characterisation of renal tumors. Eur Urol.2012;62:491-504. [9] Ball MW, Bezerra SM, Gorin MA, Cowan M, Pavlovich CP, Phillip M, Pierorazio PM, Netto GJ, Allaf ME. Grade heterogeneity in small renal masses:potential implications for renal mass biopsy. J Urol.2015;193:36 -40. [10]Zhang JL, Sigmund EE, Rusinek H, Chandarana H, Storey P, Chen Q, Lee VS. Optimization of b-value sampling for diffusion weighted imaging of the kidney. Magn Reson Med.2012;67: 89-97. [11] Ding J, Xing W, Chen J, Dai Y, Sun J, Li D. Evaluation of signal noise ratio on analysis of clear cell renal cell carcinoma using DWI with multi-b values. Zhong Hua Yi Xue Za Zhi.2014; 94:171-173 [12]Hueper K, Gutberlet M, Rodt T, Gwinner W, Lehner F, Wacker F, Galanski M, Hartang D. Diffusion tensor imaging and tractography for assessment of renal allograft dysfunction-initial results. Eur Radiol.2011;21:2427-2433. [13]Sugahara T, Korogi Y, Kochi M, Ikushima I, Shigematu Y, Hirai T, Okuda T, Liang L, Ge Y, Komohara Y,Ushio Y,Takahashi Y. Usefulness of Diffusion weighted MRI with echo-planar technique in the Evaluation of Cellularity in Gliomas. J Magn Reson Imaging.1999;9:53- 60. [14] Feng Q, Ma Z, Wu J, Fang W. DTI for the assessment of disease stage in patients with glomerulonephritis-correlation with renal histology. Eur Radiol.2015;25:92-98. [15] Cutajar M, Clayden JD, Clark CA, Gordon I. Test-retest reliability and repeatability of renal diffusion tensor MRI in healthy subjects. Eur J Radiol.2011;80:e263-e268. [16] Feng Q, Fang W, Sun XP, Sun SH, Zhang RM, Ma ZJ . Renal clear cell carcinoma: diffusion tensor imaging diagnostic accuracy and correlations with clinical and histopathological factors. Clin Radiol. 2017,72(7):560-564. [17] Assaf Y, Freidlin RZ, Rohde GK, Basser PJ. New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter. Magn. Reson. Med. 2004; 52(5):965–978. [18]Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K. Diffusional kurtosis imaging: the quantification of non-Gaussian water diffusionby means of magnetic resonance imaging. Magn. Reson. Med.2005; 53(6): 1432–1440. [19] Pentang G, Lanzman RS, Heusch P, Muller-Luta A, Blondin D, Antoch G, Wittsack HJ. Diffusion kurtosis imaging of the human kidney: a feasibility study. Magn. Reson. Imaging 2014; 32(5): 413–420. [20]Huang Y, Chen X, Zhang Z, Yan L, Pan D, Liang C, Liu Z. MRI quantification of non-Gaussian water diffusion in normal human kidney: a diffusional kurtosis imaging study. NMR Biomed. 2015; 28(2): 154–161. [21] Dai Y , Yao Q , Wu G , Wu D , Wu L , Zhu L , Xue R , Xu J. Characterization of clear cell renal cell carcinoma with diffusion kurtosis imaging:correlation between diffusion kurtosisparameters and tumorcellularity. NMR Biomed. 2016; 29: 873–881. [22] Vartanian RK, Weidner N. Endothelial cell proliferation in prostatic carcinoma and prostatic hyperplasia: correlation with Gleason's score, microvessel density, and epithelial cell proliferation. Lab Investig. 1995;73(6):844–50. [23] Tietze A, Hansen MB, Ostergaard L, Jespersen SN, Sangill R, Lund T E, Geneser M, Hjelm M, Hansen B.Mean Diffusional Kurtosis in Patients with Glioma: Initial Results with a Fast Imaging Method in a Clinical Setting. AJNR American journal of neuroradiology. 2015; 36:1472–1478. [24] Folkman J. What is the evidence that tumors are angiogenesis dependent? J Natl Cancer Inst,1990, 82:4–6 [25] Notohamiprodjo M, Dietrich O, Horger W, Horng A , Helck AD , Herrmann KA , Reiser MF , Glaser C. Diffusion tensor imaging(DTI) of the kidney at the 3 tesla-feasibility, protocol evaluation and comparison to 1.5 Tesla[j]. Invest Radiol, 2010, 45(5):245-254. [26]Onishi R, Noguchi M, Kaida H, Moriya F, Chikui K, Kurata S, Kawahara A, Kage M, Ishibashi M, Matsuoka K. Assessment of cell proliferation in renal cell carcinoma using dual-phase 18F-fluorodeoxyglucose PET/CT. Oncol Lett.2015;10:822-828. [27]Rahjutiola J, Lampinen A, Mirtti T,Ristimaki A, Joensuu H, Bono P, Saharinen P. Association of Angiopoietin-2 and Ki-67 Expression with Vascular Density and Sunitinib Response in Metastatic Renal Cell Carcinoma. PLoS One.2016;11:e0153745.
Proc. Intl. Soc. Mag. Reson. Med. 27 (2019)
1916