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Gd-EOB-DTPA Enhanced Micro-MR Imaging of Hepatic Tumors in H- ras 12V Transgenic Mice

Rationale and Objectives

The aims of this study were to evaluate the morphologic characteristics and growth pattern of hepatic tumors in H- ras 12V transgenic (TG) mice using a micro–magnetic resonance (MR) system and to assess the usefulness of gadolinium ethoxybenzyl diethylenetriamine penta-acetic acid (Gd-EOB-DTPA) enhancement for the detection of hepatic tumors in these mice.

Materials and Methods

Hepatocellular carcinoma lines were established to allow insertion of the H- ras 12V transgene under the control of the albumin enhancer/promoter. Seven H- ras 12V TG mice and four wild-type mice were included in this study. The mice underwent various MR imaging examinations, including T1-weighted imaging (repetition time, 300 ms; echo time, 11 ms), Gd-EOB-DTPA-enhanced T1-weighted imaging (dose, 0.025 mmol/kg), and T2-weighted imaging (repetition time, 3500 ms; echo time, 36 ms), with a 4.7-T MR scanner, at 4, 6, 8, and 9 months of age. All mice were euthanized after the final MR imaging procedure, except for one TG mouse and two wild-type mice that were euthanized after MR imaging procedures at 4 months of age. For imaging analysis, the tumor characteristics in each MR sequence, including tumor size, number, and signal intensity (SI), were recorded, and the contrast-to-noise ratio and contrast enhancement ratio were calculated to quantify the SI of the tumor. The MR images were correlated with the findings of histopathologic examinations.

Results

No tumors were detected in the four wild-type mice. In the six TG mice, a total of 67 tumors were found in histopathologic specimens obtained at 9 months of age. Of the 67 tumors, 62 were detected on Gd-EOB-DTPA-enhanced T1-weighted images with fat saturation. The majority of hepatic tumors showed high SI on T1-weighted images without fat saturation. The SI diminished on T1-weighted images with fat saturation. The tumor contrast-to-noise ratio for Gd-EOB-DTPA-enhanced T1-weighted imaging was significantly better than that for the other sequences. The tumors were histopathologically confirmed as hepatocellular adenomas ( n = 32) and well-differentiated hepatocellular carcinomas ( n = 35).

Conclusions

Micro-MR imaging can reveal the characteristics of hepatic tumors in a live murine model. Gd-EOB-DTPA-enhanced T1-weighted imaging is helpful in the detection of hepatic tumors in H- ras 12V TG mice.

Hepatocellular carcinoma (HCC) is a common malignancy in humans . Mutations of the ras gene have been detected in many human tumors. This gene encodes a small, signal-transducing guanosine triphosphatase that regulates the signaling pathways that control cell growth, differentiation, and survival . Although ras mutations are rare in human liver tumors , receptor-mediated hyperactivation of ras -dependent signal transduction pathways frequently occurs in human hepatocarcinogenesis . The three types of ras include N- ras , K- ras , and H- ras . Among these, murine HCCs express H- ras , which is activated in 70% of these cases; this finding suggests that H- ras plays a key role in hepatocarcinogenesis . Recently, H- ras transgenic (TG) mice were generated by using an H- ras 12V construct with a mouse albumin enhancer/promoter . The H- ras 12V TG mouse has 2 main advantages: (1) liver-specific expression and (2) long-term survival because of low expression levels of H- ras .

In vivo imaging technologies provide a unique opportunity for noninvasive and quantitative molecular-level analyses of diseases and for repeated and noninvasive monitoring of disease progression and/or response to treatment. The currently used small-animal model imaging technologies include magnetic resonance (MR), radionuclide imaging, computed tomography, ultrasonography, and optical imaging . Among these modalities, micro-MR imaging affords good microscopic resolution (micrometer-range resolution) and provides tissue-specific information when used with tissue-specific contrast agents . Tissue-specific liver MR imaging is useful for detecting and characterizing tumors. Hepatocyte-specific contrast agents are preferred over reticuloendothelial cell–specific contrast agents because the former offer superior tumor detection and lesion discrimination in murine hepatic tumors . In addition, the differences in the enhancement shown by hepatocyte-specific contrast agents can indicate additional tumor differentiation .

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Materials and methods

Generation of H- ras 12V TG Mice

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Animals

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MR Imaging

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Imaging Analysis and Statistical Analysis

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CNR=(SIofthetumor−SIoftheliver)/SIofbackmuscle, CNR

=

(

SI

of

the

tumor

SI

of

the

liver

)

/

SI

of

back

muscle

,

and

contrastenhancementratio=(SIonenhancedT1−weightedimaging−SIonnonenhancedT1−weightedimagingwithfatsaturation)/SIonnonenhancedT1−weightedimagingwithfatsaturation. contrast

enhancement

ratio

=

(

SI

on

enhanced

T

1

-

weighted

imaging

-

SI

on

nonenhanced

T

1

-

weighted

imaging

with

fat

saturation

)

/

SI

on

nonenhanced

T

1

-

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imaging

with

fat

saturation

.

On an enhanced image, a CNR value < 0 indicates negative contrast enhancement, and a CNR value > 0 indicates positive contrast enhancement.

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Histopathology

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Results

MR Imaging

Number and Sizes of Tumors Depicted on MR Images

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Figure 1, Bar graph showing the number of hepatic tumors on magnetic resonance images of H- ras 12V transgenic mice at each age.

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Table 1

Mean Sizes (mm) of Hepatic Tumors in H- ras 12V Transgenic Mice on Magnetic Resonance Images

Age (months) Mouse 4 6 8 9 1 1.20 1.80 ± 0.81 5.45 ± 3.28 6.81 ± 3.89 2 0.60 2.10 ± 1.32 4.43 ± 3.02 4.78 ± 2.45 3 — 2.10 4.45 ± 2.55 4.80 ± 3.44 4 1.10 2.13 ± 1.27 4.44 ± 1.95 4.28 ± 2.79 5 1.20 ± 0.17 2.43 ± 1.17 4.10 ± 2.16 4.36 ± 2.71 6 — 1.60 ± 0.36 3.58 ± 2.43 3.76 ± 2.96 Mean 1.08 ± 0.26 2.11 ± 1.02 4.44 ± 2.48 4.79 ± 3.06

Data are expressed as mean ± SD.

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Morphologic Characteristics Depicted on MR Images

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Figure 2, Bar graph showing the mean tumor contrast-to-noise ratio (CNR) for each sequence. The mean tumor CNR on gadolinium ethoxybenzyl diethylenetriamine penta-acetic acid (Gd-EOB-DTPA)–enhanced T1-weighted images (T1WIs) was significantly lower than that on other nonenhanced images ( P < .05), and the mean CNR of tumors on T1WIs without fat saturation (FS) was significantly higher than that on T2-weighted images (T2WIs) with FS ( P < .05).

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Morphologic Changes Depicted on MR Images

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Figure 3, Correlation between magnetic resonance (MR) and histopathologic findings in the H- ras 12V TG mouse. (a) Grossly, multiple tumors presented on the surface of the liver. (b) All wild-type (WT) mice livers were tumor free. On histopathologic examination, a dysplastic focus presented in the liver of a 4-month-old H- ras 12V transgenic (TG) mouse (black asterisk). In a 9-month-old H- ras 12V TG mouse, a large tumor (T) was detected in the right portion of the liver. (c) The dysplastic focus was not detected on the liver MR image of the 4-month-old H- ras 12V TG mouse. (d) gadolinium ethoxybenzyl diethylenetriamine penta-acetic acid–enhanced T1-weighted image with fat saturation shows a large tumor with a nodule-in-nodule appearance in the right portion of the liver in the 9-month-old H- ras 12V TG mouse. N, normal.

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Histopathology-MR Correlation

Number and Sizes of Tumors

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Table 2

Detectability of Hepatic Tumors in H- ras 12V Transgenic Mice on Magnetic Resonance Images

Number of Tumors (Detectability) Tumor Size (mm) Histopathology T1WIs without Fat Saturation T2WIs with Fat Saturation Gd-EOD-DTPA–Enhanced T1WIs >2 50 49 (98.0%) 45 (90.0%) 50 (100%) 0.4–2 17 3 (17.6%) 1 (5.9%) 12 (70.6%) Total 67 52 (77.6%) 46 (68.7%) 62 (92.5%)

Gd-EOB-DTPA, gadolinium ethoxybenzyl diethylenetriamine penta-acetic acid; T1WI, T1-weighted image; T2WI, T2-weighted image.

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Morphological Characteristics of Tumors

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Figure 4, Magnetic resonance (MR) characteristics of hepatic tumors in H- ras 12V transgenic mice. One tumor presented in the middle portion of the liver (arrow), and the other tumor presented in the left portion of the liver (arrowhead). These tumors exhibited low signal intensity (SI) on gadolinium ethoxybenzyl diethylenetriamine penta-acetic acid–enhanced T1-weighted images (T1WIs) with fat saturation (a) and slightly high SI on T2-weighted images with fat saturation (b) . (c) The tumor showed high SI (arrow), but the other tumor was not detected on T1WIs without fat saturation. (d) Tumors were not detected on T1WIs with fat saturation. (e) Prominent microvesicular and macrovesicular fat deposition presented in the tumor (arrow) on histopathologic analysis (hematoxylin and eosin stain, 400×). (f) Scanty fat presented in the other tumor (arrowhead) (hematoxylin and eosin stain, 400×).

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Discussion

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Conclusions

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