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Med Sci Monit. 2017; 23: 3706–3714.
Published online 2017 July 31. doi:  10.12659/MSM.902957
PMCID: PMC5549640

Relative Computed Tomography (CT) Enhancement Value for the Assessment of Microvascular Architecture in Renal Cell Carcinoma

Abstract

Background

To investigate the correlation between the relative computed tomography (CT) enhancement value and the microvascular architecture in different pathologic subtypes of renal cell carcinoma (RCC).

Material/Methods

This retrospective study included 55 patients with pathologically confirmed RCC. Immunohistochemistry for CD34 was performed for all surgical specimens. Microvascular architecture parameters (density, area, diameter, and perimeter) for the microvessels and the microvessels with lumen were determined. The CT scan was performed during arterial phase or venous phase. The correlation of parameters on CT and tumor angiogenesis was investigated.

Results

Density of microvessels showed a positive correlation with CT values of tumors, ratios of tumor to cortex, and differences of tumor and medulla, but no correlation with CT value ratio of tumor to aorta or tumor to medulla. CT parameters were positively correlated with microvascular parameters. However, no CT parameter differences between hypo-vascular clear cell RCC and papillary RCC was observed. Strikingly, the density and area of the microvessels were significantly higher in hypo-vascular clear cell RCC than that in papillary RCC, while the density of the microvessels with lumen in the cyst-present RCC was significantly higher than that in the cyst-absent RCC. The values (especially those of microvessels with lumen) of area density, diameter, and perimeter were higher in the capsule-absent RCC than in the capsule-present RCC.

Conclusions

The relative CT enhancement value of RCC was associated with vascular architecture parameters including density, area, and perimeter. Quantitative and semi-quantitative parameters on enhanced CT may shed some light on tumor vasculature and function as indicators of the biological behavior of RCC.

MeSH Keywords: Angiogenesis Inducing Agents, Carcinoma, Renal Cell, Four-Dimensional Computed Tomography, Immunohistochemistry

Background

Renal cell carcinoma (RCC) accounts for 3% of all adult malignancies and an estimated 116,000 people worldwide die of this disease annually [1]. Of the subtypes of RCC, clear cell RCC (ccRCC) is the most common [2]. On enhanced computed tomography (CT) scans, the appearance of ccRCC has been described as rapid wash-in and wash-out [3]. Its enhancement varies greatly and some manifest as hypo-vascular on enhanced CT imaging [4,5], which is similar to papillary RCC (pRCC). However, the enhancement mechanism of ccRCC remains unclear.

Angiogenesis plays an important role in tumor invasion and metastasis [68]. The gold standard for the measurement of tumor angiogenesis currently is microvessel density (MVD), which has a relationship with tumor growth, metastasis, and prognosis that has been confirmed [911]. Both MVD and vascular architecture can affect the biological behavior of the tumor [12,13]. It has been reported that anti-angiogenesis drugs mainly target intratumoral immature vessels instead of mature ones [14]. The maturity of vessels is reflected in the morphology of the microvessels, especially vessels with lumen [15]. Therefore, a comprehensive assessment on tumor angiogenesis requires the combination of MVD and other vascular architecture parameters. The microvascular architecture of the liver has been well-studied [16]. However, there are few studies on microvascular architecture in RCC. MVD has several substantial limitations. For example, it is a kind of invasive, in vitro and non-functional measurement and requires precision of tissue preparation. Hence it may not be an ideal indicator for evaluating tumor angiogenesis.

Perfusion CT is a promising imaging technique to quantify tumor angiogenesis because of its noninvasive nature. However, its long scan duration and high radiation dose are persistent problems [7,17]. As a simple, noninvasive and widely-used imaging modality, enhanced CT scan is reliable in RCC examinations, and can, to some extent, display the hemodynamics of the tumor in vivo [18]. Nonetheless, the correlation of parameters on enhanced CT and the microvascular architecture of tumor have been rarely discussed. In the current study, the correlation of enhanced CT parameters with microvascular architecture of the tumor was investigated and the performance of enhanced CT on assessing RCC angiogenesis was studied. It was expected that enhanced CT could provide more detailed information on the diagnosis, treatment, and prognosis of RCC through evaluating angiogenesis.

Material and Methods

Patients

From October 2012 to December 2015, 55 patients (31 males and 24 females, with ages ranging from 28 to 70 years, mean age 55.5 years) with pathologically confirmed RCC were enrolled in this study. Of the 55 cases, there were 44 cases of ccRCC, seven cases of papillary RCC (pRCC), three cases of chromophobe RCC (cRCC) and one case of undifferentiated RCC. There were 31 cases of RCCs found in the left kidneys while 24 cases were confirmed in the right side. The diameter of RCCs varied from 1.3 cm to 9.5 cm. The basic patient information is listed in Table 1. No patient had received preoperative radiotherapy or chemotherapy. The few cases of chromophobe and unclassified RCC were excluded from the statistical analysis. This study was approved by the Institutional Review Board of Qilu Hospital of Shandong University.

Table 1
Clinical characteristics of the 55 patients.

CT scanning

CT scanning was performed with a 64-slice CT scanner (GE Discovery CT750, General Electric, Waukesha, WI, USA) during breath-hold. Using a high pressure syringe, 60–80 mL (1.2 mL/kg) of nonionic contrast agent (Omnipaque, 300 mg iodine/mL; GE Healthcare, Shanghai, China) was intravenously administered through the antebrachial vein at a flow rate of 3–5 mL/second. Scanning for the arterial (corticomedullary) phase was started 30 seconds after contrast injection. The venous (nephrographic) phase began 80 seconds after contrast administration. All images were acquired by using a 140-kVp tube voltage and 260–280-mA tube current.

CT image analysis

CT images were transferred to a PACS workstation (IMPAX 6.3.1.4095, Agfa Healthcare NV, Belgium) and two experienced radiologists performed the image analysis and measurements collaboratively. The region of interest (ROI) was chosen so that it would be large enough to avoid volume effect. Four ROIs were placed at different sites in the marginal region while two ROIs were placed differently in the center of the lesion. Necrotic areas and vessels within the tumor were avoided. The mean values were measured and recorded.

The following CT findings were analyzed in our study: 1) subgroups assigned according to the CT findings including tumor cyst, necrosis, and pseudo-capsule; 2) the CT value of the tumor in artery phase (VTA, HU); 3) the CT value ratio of tumor/aorta in arterial phase (RTA); 4) the CT value ratio of tumor/cortex in arterial phase (RTC); 5) the CT value ratio of tumor/medulla in arterial phase (RTM); 6) the CT value difference of tumor and renal cortex in arterial phase (DTC, HU); 7) the CT value difference of tumor and renal medulla in arterial phase (DTM, HU); 8) the CT value difference of tumor in artery phase and venous phase (DAV, HU).

Immunohistochemistry

It was ensured that the site of tissue sampling corresponded with the ROI selected. Specimens were fixed in 10% neutral formalin, paraffin-embedded and sliced into 4 μm serial sections. Tissue sections were stained using mouse anti-human monoclonal CD34 antibody and goat anti-mouse polyclonal antibody (Fuzhou Maxim Biotechnology Co. Ltd., Fuzhou, China) using the streptavidin-peroxidase method, following the instructions provided by the company.

Determination of microvessel density (MVD)

MVD was determined as described by Weidner [19]. Single endothelial cell or cells in bundles were counted, while the vessels with a diameter greater than eight erythrocytes or thick muscular walls, and those in the sclerotic region were excluded. Microvessels was defined as CD34-positive single endothelial cell or cell clusters which were distinct from the surrounding tumor cells and connective tissue. Vessels with punctiform, fissured, circular or irregular lumens were defined as microvessels with lumen. The total area (S), diameter (D), and perimeter (L) occupied by positive endothelial cells and lacuna bounded by them were quantified with pixels.

Four random fields from the periphery of the section and two fields from the center were selected under high magnification (200×). The following parameters were measured using an image analyzer system (Image plus 6.0, Media Cybernetics Inc., Rockville, MD, USA): MVD (MVD1), area (S1), diameter (D1), and perimeter (L1) of the microvessels and those (MVD2, S2, D2, and L2) of the microvessels with lumen.

Statistical analysis

Data were analyzed using statistical software (SAS, version 9.2; SAS Institute Inc., Cary, NC, USA). Results were expressed as mean ± standard errors. After normality test, a student’s t-test was performed to compare between groups. One-way ANOVA was used for comparing multiple groups. After global testing, Student-Newman-Keuls (SNK) post hoc test was performed for post hoc analysis. Pearson’s correlation coefficient (r) was used to investigate the relationships between the microvascular architectonic and parameters on CT. A p value less than 0.05 was considered statistically significant.

Results

RCC enhancement on CT

Of the 44 ccRCCs, cysts were present in 14 cases and pseudo-capsules were present in 12 cases while 35 carcinomas displayed heterogeneous enhancement and nine appeared homogeneous. In the seven pRCCs, there were three with cysts, one with pseudo-capsule, heterogeneous enhancement in four, and homogeneous in three.

Correlation of microvascular parameters with parameters on CT in 44 ccRCCs

The mean MVD1, S1, D1, L1, MVD2, S2, D2, and L2 in the 44 ccRCCs were: 17.99±1.55; 66,883.99±6,049.52; 1,560.96±237.58; 6,960.99±629.24; 12.88±1.26; 50,360.96±4,725.43; 847.39±75.46; and 3,535.95±323.37, respectively. Student’s t-test showed MVD2, S2, D2, and L2 of the microvessels with lumen were significantly less than those (MVD1, S1, D1, and L1) of the microvessels (p<0.05 for each comparison) (Figure 1A). The mean VTA, DTC, DTM, DAV, RTA, RTC, and RTM in the 44 ccRCCs were: 114.30±17.23; 27.70±4.18; 52.79±7.96; 15.73±2.37; 0.47±0.07; 0.80.0±0.12; and 1.926±0.29, respectively (Figure 1B).

Figure 1
Comparison of microvascular parameters and measurements of parameters on CT in 44 ccRCCs. (A) Comparison of microvascular parameters including MVD, areas, diameters, and perimeters between the microvessels and the microvessels with lumen in 44 ccRCCs. ...

CcRCC were hyper-vascular tumor and strongly enhanced with a CT value close to that of renal cortex during arterial phase.

Student’s t-test was performed to analyze the parameters of the microvessels and the microvessels with lumen between the cyst-present and cyst-absent groups, and between the capsule-present and capsule-absent groups in the 44 cRCCs (Table 2). MVD2 was significantly higher in the cyst-present group (n=14) than the cyst-absent group (n=30; t=2.10, p=0.043). There was no significant difference with regard to MVD1, S1, D1, L1, S2, D2, and L2 between the cyst-present and the cyst-absent groups (p>0.05). The capsule-present group showed a significant higher value of S1, MVD2, S2, D2, and L2 than the capsule-absent group (p<0.05) whereas no significant difference was found in other parameters (p>0.05).

Table 2
Comparisons of vascular architecture parameters between subgroups according to the presence of cyst and pseudocapsule in 44 ccRCCs on CT.

Pearson’s correlation coefficient (r) was used to determine the correlation of vascular parameters and parameters on CT (Table 3). MVD1 was positively correlated with VTA, RTC, DTC, and DTM (r=0.47, 0.36, 0.33, 0.44, respectively; p<0.05 for all), but was not correlated with RTA or RTM (r=0.30 and 0.34, respectively; p>0.05 for both; Table 4).

Table 3
Correlation of vascular architecture parameters and parameters on CT in ccRCC (n=44).
Table 4
Relationships of MVD1 and MVD2 in groups with different values of RTC (n=44).

VTA increased as MVD did, suggestive of a higher enhancement of tumor during arterial phase (Figure 2). RTC and DTM tended to be higher as MVD increased. Correlation was noted between S1 and measurements including VTA, RTA, RTC, RTM, DTC, DTM and DAV with a higher correlation coefficient than other microvascular parameters, suggesting that tumor enhancement degree was associated with the area of microvascular perfusion. VTA and RTC showed positive correlations with MVD1, S1, and L1, respectively. Whereas RTM had single correlation with S1, as DAV did. Furthermore, correlations were noted between DTM with MVD1 and S1. MVD2, S2, D2, and L2 exhibited positive correlations with parameters on CT during the arterial phase. VTA had stronger correlation with the parameters of the microvessels with lumen (MVD2, S2, D2, and L2; r=0.72, 0.69, 0.81, and 0.81, respectively; p<0.001) than those of the microvessels (MVD1, S1, and L1; p<0.05). These results indicate that parameters including VTA, RTA, RTC, RTM, DTC, DTM, and DAV tended to increase with the rise of MVD2, S2, D2, and L2.

Figure 2
CT scan and immunohistochemical staining results (CD34, 200×) of three cases. (A1, A2, a 67-year-old woman): Obvious heterogeneous contrast enhancement in the right kidney (bold arrow) with a VTA value of 160 HU and a RTV value of 1.3 was displayed. ...

Compared with RTM, RTC showed a stronger correlation with microvascular parameters (MVD1 and S1). In terms of parameters of the microvessels with lumen (MVD2, S2, D2, and L2), both RTM and RTC displayed highly correlations. In the present study, tumor enhancement on CT was decided by the vessel areas, especially that of the microvessels with lumen.

Collectively, these results suggested that tumor parameters on enhanced CT can reflect the growth of microvessels to some extent.

Comparison of hyper-vascular with hypo-vascular ccRCCs

The 44 ccRCCs were categorized into three groups according to the RTC value, which included groups of RTC ≤0.6, 0.6< RTC <1, and RTC ≥1. The one-way ANOVA with post hoc SNK’s comparisons was used for multiple groups. The mean MVD1 in the groups of RTC ≤0.6, 0.6< RTC <1, and RTC ≥1 were 16.52±3.24, 19.04±0.03, and 24.90±2.44, respectively (Table 4). Significant difference was noted in MVD1 in the group of RTC ≤0.6 with the other groups (F=7.98, p<0.01), while MVD1 did not differ significantly from the groups of 0.6< RTC <1 and RTC ≥1. The mean MVD2 in the groups of RTC ≤0.6, 0.6 <RTC <1, and RTC ≥1 were 6.88±1.43, 12.33±1.47, and 20.38±2.07, respectively, with significant difference between each other (F=18.62, p<0.001). If RTC ≤0.6 was defined as the cutoff value of hyper-vascular and hypo-vascular tumors, there were seven hypo-vascular carcinomas in the 44 ccRCCs.

Parameters on enhanced CT in pRCC

Seven pRCCs demonstrated hypodense enhancement on arterial phase with a mean VTA of 58.71±4.91 (range 42~85 HU). The mean RTA, RTC, and RTM were 0.31±0.05, 0.47±0.05, and 0.98±0.12, respectively, while the mean DTC, DTM, and DAV were −72.29±13.34, −5.00±7.77, and −8.86±4.00, respectively, with RTC less than 0.6.

Correlation of vascular parameters with parameters on CT in hypo-vascular ccRCCs and pRCCs

The RTC was less than 0.6 in the seven hypo-vascular ccRCCs and seven pRCCs. Student’s t-test between the two groups found that the vascular parameters were generally higher in hypo-vascular ccRCCs than in the pRCCs with significant difference in MVD1 and S1 and no difference in D1, L1, MVD2, S2, D2, and L2 (Table 5). Meanwhile, parameters on CT, including VTA, VTV, RTA, RTC, RTM, DTC, DTM, and VAV, did not differ significantly between the two groups. It can be deduced that hypo-vascular ccRCC has a similar enhancement pattern but quite a different mechanism in pRCC. There were more microvessels in hypo-vascular ccRCC with fewer microvessels with lumen, which provided effective perfusion. However, there were fewer microvessels in pRCC with more microvessels with lumen, showing similar perfusion status of ccRCC.

Table 5
Comparisons of microvascular architecture parameters and parameters on CT between pRCC (n=7) and hypovascular ccRCC (n=7).

Discussion

RCC is a typical angiogenesis-dependent tumor in which angiogenesis is closely associated with tumor growth, metastasis, and prognosis [6]. Spiral multi-phasic enhanced CT scanning can display multi-phasic imaging of the kidney through a single intravenous injection of contrast media, thus providing information on diagnosis, treatment, and prognosis of RCC [20]. It has become an imaging method widely used in clinical practice. Previous studies [20,21] on spiral enhanced CT scanning of RCC are mostly limited to research on CT value, which could be affected by the dose, administration rate, and concentration of the contrast agents, and on the scan delay time as well as the circulation, renal function, and weight and body surface area of the patient. Therefore, it cannot be used to perform comprehensive assessment on tumor vascularity. The application of relative CT value can provide more information on tumor vascularity as it can screen the influence of intrinsic and extrinsic factors [22]. Enhancement degree of the tumor on CT has been shown to correlate significantly with MVD [23].

MVD is the parameter most frequently used to quantify intratumoral angiogenesis [11]. Tumor angiogenesis is a complex process where single endothelial cells, strip-like or fork-like endothelial cells bud, and mature microvessels with lumen can be found [15,23]. In the present study, vascular parameters, including MVD, area, diameter, and perimeter of the microvessels and the microvessels with lumen were studied as these architecture parameters play a role in the biological behavior of tumor through influencing blood supply [2426]. All vascular parameters were correlated with CT parameters during arterial phase with a higher correlation in the microvessels than in the microvessels with lumen. Moreover, the vascular area had a stronger correlation with parameters on CT than MVD. Vascular perimeter was correlated with RTA, RTC, and DTC, although the correlation was weaker than that of the area. This suggests that, besides MVD, microvascular architecture also plays an important role in tumor perfusion.

Positive correlations were found between MVD with VTA, RTC, and DTC in RCC while no relationship was found between MVD with RTM. This may be attributed to ccRCC having a higher incidence in the renal cortex and hyper-vascular region. Therefore, RTC and DTC make better indicators for tumor perfusion. MVD was not correlated with RTA and RTM, due to possible individual difference in delay time. The CT value of the aorta declines slower than RCC during the period between arterial and venous phases, while the CT value of the medulla has a faster increase as scan time extends.

It has been shown that ccRCC has a high likelihood of hyaline changes, fibrosis, and coagulative necrosis [23]. In the current study of ccRCC, 31.8% (n=14) had cysts and 27.2% [13] had pseudo-capsules, presenting a disagreement with prior reports [27,28]. In the cyst-present ccRCCs, the mean parameters of the microvessels and the microvessels with lumen were higher than cyst-absent ccRCCs with significant difference in MVD2. The mean S1, MVD2, S2, D2, and L2 in the capsule-absent ccRCCs were significantly higher than capsule-present ccRCCs. But no significant difference was observed in MVD1 between the two groups. The presence of cyst and absence of capsule are indicative of malignancy, and tumors tend to grow faster and be more aggressive, which results in tumors outgrowing the blood supply from the microvessels with lumen and undergoing cystic changes from necrosis. On enhanced CT, ccRCC can also be hypo-vascular with a similar enhancement degree to pRCC and a different mechanism from pRCC.

Conclusions

The enhancement of RCC on CT was associated with vascular architecture parameters including MVD (especially that of the microvessels with lumen), area, and perimeter. Thus, quantitative and semi-quantitative parameters of RCC on spiral enhanced CT imaging can shed some light on the tumor vascularity and function as the indicators of the biological behavior of RCC. One study limitation was that the study concentrated on ccRCC and pRCC and did not investigate the correlations in other subtypes. Further studies on the correlations between microvascular architecture parameters and parameters on enhanced CT in other subtypes are warranted.

Abbreviations

CT
computed tomography
RCC
renal cell carcinoma
MVD
microvessel density
S
area
D
diameter
L
perimeter
VTA
the CT value of tumor during arterial phase
RTA
the CT value ratio of tumor to aorta
RTC
the CT value ratio of tumor to cortex
RTM
the CT value ratio of tumor to medulla
DTC
the CT value difference of tumor and cortex
DTM
the CT value difference of tumor and medulla
DAV
the CT value difference of tumor in arterial and venous phases
ccRCC
clear cell renal cell carcinoma
pRCC
papillary renal cell carcinoma
ROI
region of interest.

Footnotes

Source of support: This work was supported by The Fundamental Research Funds of Shandong University (No. 2014QLKY01)

Ethics approval

This study was approved by the Institutional Review Board of Qilu Hospital of Shandong University.

Competing interests

All authors declare that they have no competing interests.

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