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
NoReferences
[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.