Abstract
Background
Few studies have reported on the use of intravoxel incoherent motion (IVIM) for renal tumors.
Purpose
To investigate the value of IVIM for distinguishing renal tumors.
Material and Methods
Thirty-one patients with clear cell renal cell carcinomas (CCRCCs), 13 patients with renal angiomyolipomas with minimal fat (RAMFs), eight patients with chromophobe renal cell carcinomas (ChRCCs), and ten patients with papillary renal cell carcinomas (PRCCs) were examined. The tissue diffusivity (D), pseudodiffusivity (D*), and perfusion fraction (f) were calculated.
Results
The D and f values were highest for CCRCCs, lowest for PRCCs, and intermediate for ChRCCs and RAMFs (P < 0.05). The D values of CCRCCs differed significantly from those of ChRCCs and PRCCs (P < 0.05). The D* values were highest for RAMFs, lowest for ChRCCs, and intermediate for CCRCCs and PRCCs (P < 0.05). Statistically significant differences were observed between the D* values of CCRCCs and RAMFs (P < 0.05). The D* values of the CCRCCs differed significantly from the D* values of the ChRCCs (P < 0.05). Using the D and f values of 1.10 and 0.41, respectively, as the threshold values for differentiating CCRCCs from RAMFs, ChRCCs, and PRCCs, the best results had sensitivities of 81.0% and 66.8% and specificities of 85.7% and 81.0%, respectively. Using the D* value of 0.038 as the threshold value for differentiating RAMFs from CCRCCs, ChRCCs, and PRCCs, the best result obtained had a sensitivity of 90.5% and specificity of 76.2%.
Conclusion
IVIM may provide information for differentiating renal tumor types.
Introduction
Clear cell renal cell carcinoma (CCRCC) is the most common primary malignant epithelial tumor of the kidney and accounts for 70% of all renal tumors (1). CCRCCs are predominantly sporadic (95%) but can be familial with other renal tumors (2), such as renal angiomyolipomas with minimal fat (RAMFs), chromophobe renal cell carcinomas (ChRCCs), and papillary renal cell carcinomas (PRCCs). Interestingly, CCRCCs and other renal tumors share similar ontogenic and histologic features as well as some imaging features (3). However, different renal tumors exhibit differences in prognoses and treatments. RAMF is a benign tumor with a favorable prognosis without surgery. ChRCC and PRCC are renal cell carcinoma (RCC) subtypes with overall favorable prognoses compared with CCRCC that include slower growth and significantly lower rates of metastasis, progression, and death (4). ChRCC and PRCC are generally managed via partial nephrectomy when technically possible; routine radical nephrectomy for this entity would be gross mismanagement that would needlessly expose the patient to a greater risk of reduced renal function and an associated higher rate of cardiovascular events from the more extensive surgery.
Intravoxel incoherent motion (IVIM) can provide a unique view of tissue perfusion without the use of exogenous contrast agents. Chandarana et al. (5) demonstrated higher perfusion fractions (fs) and lower tissue diffusivities (Ds) in enhancing renal tumors compared with benign non-enhancing lesions. These authors also found that the parameters f and D can be used to discriminate between renal tumor subtypes. However, their studies only used lower b-values (0–800 s/mm2). Notohamiprodjo et al. (6) reported that, with the higher b-values, more accurate measurements of diffusion were possible. In our study, we demonstrated that b-values in the range of approximately 0–1500 s/mm2 are sufficient for abdominal IVIM to enable the observation of the departure of the diffusion signal from mono-exponential behavior. Our purpose was to characterize the IVIM characteristics of renal tumor types.
Material and Methods
Patients
A total of 62 patients who met the criteria were identified. Our study was approved by our institutional review board and written informed consent was obtained from all patients before the study. A total of 62 patients with confirmed pathology and immunohistochemistry from January 2012 to July 2017 were recruited, and the patients underwent 3.0-T kidney magnetic resonance imaging (MRI). The patients included 31 patients with CCRCCs, 13 patients with RAMFs, eight patients with ChRCCs, and ten patients with PRCCs.
Magnetic resonance imaging
The MRI examinations were performed using a 3.0-T MR scanner (GE Signa EXCITE HD, Milwaukee, WI, USA) with an eight-channel array body coil and a 24-channel phased array spine coil integrated into the scanner table. For IVIM, a single-shot echo-planar imaging sequence was applied in the axial plane using respiratory triggering via a respiratory belt, nine b-values (0, 30, 50, 80, 150, 300, 500, 800, and 1500 s/mm2), and eight signal averages. The other imaging parameters were as follows: 24 axial slices covering both kidneys; TE = 33.2 × 86.6 ms; TR = 1000 ms; matrix = 96 × 128; and field of view (FOV) = 36 × 36 cm.
Image analysis
The acquired images were transferred to an off-line workstation for processing. Before IVIM quantification, image co-registration and smoothing were performed using the automated image registration (AIR) software v4.6.4. With our IVIM protocol, we obtained parameters related to D, D*, and f. The assessment of the renal tumors and region of interest (ROI) positioning were conducted by a radiologist (with five years of clinical experience in interpreting MR images). ROIs of the mass (range=100–225 mm2) were manually drawn using ImageJ (National Institutes of Health, Bethesda, MD, USA) on the axial slices. Attention was given to avoiding areas with aliasing artifacts when they appeared in the image. Moreover, intratumoral calcification and cystic components were excluded from the ROI if central necrosis or calcifications were considered. Each IVIM parameter was measured three times and the mean value was used.
Statistical analysis
The statistical analyses were undertaken using the SPSS version 17.0 statistical software (SPSS, Chicago, IL, USA). Numeric data are expressed as the means and the standard deviations (±SDs), and categorical data are expressed as percentages. The evaluated IVIM parameters were compared with the renal tumor types by applying analysis of variance (ANOVA) and post-hoc tests (Tukey). P values < 0.05 were considered statistically significant. The specificities of the IVIM values for the diagnoses of the renal tumor types and the best cut-offs were calculated from the areas under the ROC curves. P < 0.05 was considered statistically significant.
Results
The D values (Fig. 1) were highest for the CCRCCs, lowest for the PRCCs, and intermediate for the ChRCCs and RAMFs (F = 37.229, P < 0.05; Fig. 1e, Table 1). The D values of the CCRCCs were significantly different from those of the ChRCCs and PRCCs (F = 35.783, P < 0.05); however, the D values of the RAMFs did not differ significantly from the D values of the ChRCCs and PRCCs (t = 2.637, 4.329, P > 0.05). Using the D value (Fig. 1f) of 1.10 as the threshold value for differentiating CCRCCs from RAMFs, ChRCCs, and PRCCs, the best result obtained had a sensitivity of 81.0% and a specificity of 85.7%.
(a–f) D values of the (a) CCRCCs, (b) RAMFs, (c) ChRCCs, and (d) PRCCs. D values: CCRCC = 1.39 ± 0.28 × 10–3 mm2/s; RAMF = 0.68 ± 0.06 × 10–3 mm2/s; ChRCC = 0.72 ± 0.05 × 10–3 mm2/s; and PRCC = 0.66 ± 0.07 × 10–3 mm2/s. (e) Bar graph illustrating the D values of each tumor type. The D values were highest for the CCRCCs, lowest for the PRCCs, and intermediate for the ChRCCs and RAMFs. (f) Using a D value of 1.10 as the threshold value for differentiating CCRCCs from RAMFs, ChRCCs, and PRCCs, the best result obtained had a sensitivity of 81.0% and a specificity of 85.7%. The IVIM parameters of CCRCC, RAMF, ChRCC, and PRCC. The D values of the CCRCCs significantly different from those of the ChRCCs and PRCCs (F = 35.783, P < 0.05); however, the D values of the RAMFs did not differ significantly from the D values of the ChRCCs and PRCCs (t = 2.637, 4.329, P > 0.05). The D* values of the CCRCCs significantly differed from the D* values of the ChRCCs (t = 6.732, P < 0.05); however, there was no significant difference between the ChRCCs and PRCCs (t = 3.128, P > 0.05). The f values of the RAMFs did not differ significantly from the f values of the ChRCCs and PRCCs (F = 4.692, P > 0.05).
The D* values (Fig. 2) were highest for the RAMFs, lowest for the ChRCCs, and intermediate for the CCRCCs and PRCCs (F = 30.746, P < 0.05; Fig. 2e, Table 1). The D* values of the CCRCCs differed significantly from the D* values of the ChRCCs (t = 6.732, P < 0.05); however, there was no significant difference between the ChRCCs and PRCCs (t = 3.128, P > 0.05). Using the D* (Fig. 2f) value of 0.038 as the threshold value for differentiating RAMFs from CCRCCs, ChRCCs, and PRCCs, the best result obtained had a sensitivity of 90.5% and a specificity of 76.2%.
(a–f) D* values of the (a) CCRCCs, (b) RAMFs, (c) ChRCCs, and (d) PRCCs. D* values: CCRCC = 0.037 ± 0.009 mm2/s; RAMF = 0.053 ± 0.02 mm2/s; ChRCC = 0.018 ± 0.004 mm2/s; and PRCC = 0.030 ± 0.003 mm2/s. (e) Bar graph illustrating that the D* values were highest for the RAMFs, lowest for the ChRCCs, and intermediate for the CCRCCs and PRCCs. (f) Using a D* value of 0.038 as the threshold value for differentiating RAMFs from CCRCCs, ChRCCs, and PRCCs, the best result obtained had a sensitivity of 90.5% and a specificity of 76.2%.
The f values (Fig. 3) were highest for the CCRCCs, lowest for the PRCCs, and intermediate for the ChRCCs and RAMFs (F = 11.080, P < 0.05; Fig. 3e, Table 1). However, there was no significant difference between the RAMFs, ChRCCs, and PRCCs, and the value was only slightly and non-significantly increased for the ChRCCs (F = 4.692, P > 0.05). Using the f (Fig. 3f) value of 0.41 as the threshold value for differentiating the CCRCCs from the RAMFs, ChRCCs, and PRCCs, the best result obtained had a sensitivity of 66.8% and a specificity 81.0%.
(a–f) f values of the (a) CCRCCs, (b) RAMFs, (c) ChRCCs, and (d) PRCCs. f values: CCRCC = 0.43 ± 0.11%; RAMF = 0.31 ± 0.03%; ChRCC = 0.33 ± 0.07%; and PRCC = 0.28 ± 0.06%. (e) Bar graph illustrating the f values for each tumor type. The f values were highest for the CCRCCs, lowest for the PRCCs, and intermediate for the ChRCCs and RAMFs. (f) Using an f value of 0.41 as the threshold value for differentiating the CCRCCs from the RAMFs, ChRCCs, and PRCCs, the best result obtained had a sensitivity of 66.8% and a specificity of 81.0%.
Discussion
The cure rate for patients with localized RCCs who are treated with radical nephrectomy is only 50–65% (7). The main reason for cancer death is the presence of micrometastases that are undetectable at the time of diagnosis. A major problem in the management of patients with renal tumors is predicting the tumors’ malignancy potential. A variety of prognostic features, such as grade, size, cell type, tumor pattern, deoxyribonucleic acid (DNA) ploidy, and nuclear morphometry, have been proposed as prognostically useful parameters but have achieved only limited clinical application. Currently, only few studies have reported the use of IVIM for renal tumors.
Diffusion-weighted imaging (DWI) can provide physiologic information (8) about RCCs. Standard DWI and diffusion tensor imaging (DTI) techniques assume a Gaussian diffusion distribution (9), and they can indicate a small diffusion distance in the tissue, but the reason (high viscosity or more cell membranes) for the distance remains unclear. IVIM can provide a unique view of the tissue perfusion without the use of exogenous contrast agents. Because renal tumor types differ in the degree of vascularity and the cellularity of the tumor architecture, the diffusion IVIM parameters D, D*, and f reflect distinct processes that contribute to ADC and may provide more sensitive and specific characterization of renal tumors.
IVIM is analyzed by bi-exponential fitting of the signal decay to account for the D component (10). The D values are influenced by tissue perfusion and tissue cellularity. The contribution of perfusion to the diffusion signal was investigated by Le Bihan et al. (11) in their study of IVIM. In our study, the D values were highest for the CCRCCs, lowest for the PRCCs, and intermediate for the ChRCCs and RAMFs (P < 0.05). The D values of the CCRCCs significantly differed from those of the ChRCCs and PRCCs (P < 0.05); however, there were no significant differences between the RAMFs, ChRCCs, and PRCCs, and the values were only slightly and non-significantly increased for the ChRCCs (P > 0.05). Many studies have attributed lower D values to higher cellularity (12). The reason for the reduced D values can either be an increased viscosity of the tumor tissue (13) or a mechanical hindrance of water motion due to barriers, such as cell membranes. The cells of CCRCCs are rich in lipid content, and cholesterol, neutral lipids, and phospholipids are abundant on pathology (14). In our study, a D value of 1.10 was used as the threshold value for differentiating CCRCCs from RAMFs, ChRCCs, and PRCCs, and the best result obtained had a sensitivity of 81.0% and a specificity of 85.7%.
The blood flow in randomly oriented microvasculature, referred to as D* (15), contributes to diffusion signal decay predominantly at low b values (<200 s/mm2). Capillary density can influence D* values. Increasing D* values are likely caused by increasing capillary density in the tissue (16). RAMFs and CCRCCs are rich in capillaries on pathology. In our study, the D* values were highest for the RAMFs, lowest for the ChRCCs, and intermediate for the CCRCCs and PRCCs (P < 0.05). Statistically significant differences were observed between the D* values of the CCRCCs and RAMFs. Moreover, the D* values of the CCRCCs significantly differed from the D* values of the ChRCCs. On pathology, capillaries are frequently observed in RAMFs and CCRCCs (16). Huang et al. (17) applied diffusional kurtosis imaging to a normal human kidney and reported preliminary diffusional kurtosis imaging measurements. The results of these authors indicated that the rich vasculature complicates the interpretation of the diffusion pattern in the kidney. There was a good consistency between microscopic appearances of the RAMFs and CCRCCs and the D* characteristics.
Rheinheimer et al (18) applied the IVIM technique to renal tumor types and found that the f value provided significant added value, particularly for the differentiation of CRCCs from non-CCRCCs. Notohamiprodjo (19) found a significant corticomedullary difference with a higher average f value in the cortex than in the medulla. This finding appears reasonable because 90% of the renal blood volume is distributed in the cortex (20,21). Sigmund et al. (22) conducted both IVIM and DTI of a human kidney under hydration and furosemide flow challenges and revealed that the corticomedullary contrast of the kidney on diffusion imaging is sensitive to vascular flow. In our study, we demonstrated that the f values were highest for the CCRCCs, lowest for the PRCCs, and intermediate for the ChRCCs and RAMFs (P < 0.05). However, there were no significant difference between the RAMFs, ChRCCs, and PRCCs, and there was only a slight and non-significant increase for the ChRCCs (P > 0.05). On pathology, CCRCCs originate from the renal cortex and are rich in blood flow (16). There was a good consistency between the microscopic appearances of the CCRCCs and the f characteristics.
The main limitation of our study is the small number of patients with each renal tumor type. We recommend further studies with larger populations to validate the results of our study. Furthermore, respiratory movements of the kidney mainly occur in the craniocaudal direction and do not always coincide with abdominal wall movements.
In conclusion, the results of this study demonstrated significant differences in IVIM between renal tumor types. This technique can potentially be used as another non-invasive biomarker for the differential diagnoses of renal tumor types. However, percutaneous biopsy cannot be skipped with these imaging features because of much overlap between renal tumors.
Footnotes
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors received: Jiangsu Provincial Medical Youth Talent (QNRC2016349). Jiangsu Provincial Commission of Health and Family Planning (H201551); Six Talent Peaks Project in Jiangsu Province (WSW-079). Social development project of Yangzhou City(YZ2017066).
