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Monochromatic Spectral Computed Tomography with Low Iodine Concentration Contrast Medium in a Rabbit VX2 Liver Model

Rationale and Objectives

This study aimed to validate the feasibility of using virtual monochromatic spectral computed tomography (CT) with isotonic low iodine concentration contrast medium for VX2 hepatic tumors.

Materials and Methods

Sixty New Zealand white rabbits with implanted VX2 hepatic tumors underwent two-phase contrast-enhanced spectral CT imaging on the 14th day after tumor implantation. They were randomly divided into groups A, B, and C, with 20 rabbits each (group A: 270 mg I/mL, monochromatic spectral images; group B: 370 mg I/mL, conventional 120 kVp images, 100% filtered back projection [FBP]; group C: 270 mg I/mL, conventional 120 kVp images, 100% FBP). Group A was further divided into two subgroups (subgroup A1: 100% FBP; subgroup A2: 50% FBP + 50% adaptive statistical iterative reconstruction). Objective evaluation (signal-to-noise ratio [SNR], contrast-to-noise ratio [CNR], and image noise), subjective rating score (image noise score, anatomical details score, overall image quality score, and lesion conspicuity score), CT dose index volume, and dose length product were compared between groups during two-phase contrast enhancement. The detection rates of the four groups were calculated as percentages.

Results

Image noise (SNR and CNR) among the four groups was statistically significant ( P < 0.05). The image noise in group A2 was lower than in group A1, but higher than that in groups B and C ( P < 0.05). SNR and CNR in group A2 were the highest, followed by group A1, and group C was the lowest ( P < 0.05 for all). The image noise score of group A2 was higher than that of the other three groups. In terms of the anatomic details score, the overall image quality score, and the lesion conspicuity score, the images of group A2 were superior to that of groups A1 and C. For hepatic tumor diameters more than or equal to 1.0 cm and less than 3.0 cm, group A achieved a higher detection rate than groups B and C. The CT dose index volume, dose length product, and effective dose in group A were significantly lower than that in groups B and C ( P < 0.05). On average, group A reduced the effective radiation dose by 27.2% compared to group B, whereas group B reduced the effective radiation dose by 28% compared to group C. Group A reduced the iodine load by 22.86% compared to group B.

Conclusions

The use of monochromatic images combined with 50% adaptive statistical iterative reconstruction with an isotonic low concentration contrast medium of 270 mg I/mL can optimize image quality, reduce image noise, increase detection rate for small tumors, and decrease radiation dose and iodine load in hepatic tumor CT examinations.

Introduction

The high iodine concentration in contrast agents or fast injection rates in computed tomography (CT) contrast-enhanced scanning can produce high-quality images; however, it can expose the patient to an increased radiation dose and place a high burden on the kidneys . McDonald et al. and Silver et al. found a close relationship between the dose of contrast agents and the occurrence of contrast-induced nephropathy. Moreover, reducing the injection dose of a contrast agent could further reduce the risk of intravenous access failure, which could especially benefit patients with poor venous access .

Currently, scholars are concerned about low-dose scanning for patients, that is, reducing the radiation dose as much as possible and still ensuring good CT image quality . Dual-energy spectral CT capable of rapidly alternating between two peak voltage settings (140 kVp and 80 kVp) allows the reconstruction of conventional polychromatic images corresponding to 140 kVp and monochromatic images with energies ranging from 40 to 140 keV, which provides the ability to reduce beam-hardening artifacts and optimize contrast with monochromatic energy . Compared to traditional filtered back projection (FBP), a new low-dose spectral scanning technique called adaptive statistical iterative reconstruction (ASiR) for spectral CT was reported to reduce image noise, improve image quality, and reduce the radiation dose during contrast-enhanced CT . Because of the upgrade of CT postprocessing software, it was feasible to reconstruct monochromatic spectral CT images using the ASiR technique.

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Materials and Methods

Animals

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Figure 1, Flowchart of the experimental study.

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Preparation of the VX2 Tumor Cells

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A Rabbit VX2 Hepatic Tumor Model

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Spectral CT Examination

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Figure 2, The mean lesion-to-liver contrast-to-noise ratio (CNR) values of monochromatic image as a function of the percentage of adaptive statistical iterative reconstruction (ASiR) in group A. CNR values peaked at 50 percentage of ASiR in group A2 for arterial phase (AP) and venous phase (VP), respectively.

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Objective Image Quality Analysis

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SNR=ROIlesion/SDlesion​;CNR=(ROIlesion−ROIliver)/SDliver​, SNR

=

ROI

lesion

/

SD

lesion

;

CNR

=

(

ROI

lesion

ROI

liver

)

/

SD

liver

,

where ROI lesion and ROI liver are the mean attenuation of the lesion and the adjacent normal liver parenchyma, respectively. SD liver is the standard deviation of the pixel values from normal liver parenchyma. The SNRs and CNRs were determined for both the arterial phase and the portal venous phase.

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Subjective Image Rating Measurement

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Table 1

Criteria of Grading Scale for Subjective Image Quality

Grading Scale Image Quality Image Noise Anatomical Details Overall Image Quality Lesion Conspicuity 1 Unacceptable Blurry/Not applicable Unacceptable Nondiagnosis 2 Above average Better than average/Severe artifacts affecting diagnostic information Suboptimal Diagnosis questionable 3 Average Average/Moderate artifacts, but diagnosis still possible Average Successful detection 4 Less than average Poorer than average/Mild artifacts, but not interfering with diagnostic decision making Above average Frequent detection 5 Minimum or none Sharpest/Minimal or no artifacts Superior Well diagnosis

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Radiation Dose Analysis

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ED=k×DLP, ED

=

k

×

DLP

,

where k = 0.015 (recommended by the European Commission).

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Statistical Analysis

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Results

Tumor Implantation

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Figure 3, The pathological findings of a VX2 liver tumor. ( a ) Pathological specimen from a rabbit VX2 liver tumor. ( b ) VX2 liver tumors with necrosis in the center. ( c ), ( d ) Hematoxylin-eosin staining of rabbit VX2 liver tumors with 10× ( c ) and 40× ( d ) magnification. (Color version of figure is available online).

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Monochromatic Image

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Figure 4, The mean lesion-to-liver contrast-to-noise ratio (CNR) values as a function of the monochromatic energy levels in group A. CNR values peaked at 61 kilo electron voltage (keV) and 71 keV in group A1 and group A2 for arterial phase (AP) and venous phase (VP), respectively. (Color version of figure is available online).

Figure 5, Spectral CT image of a VX2 liver tumor. ( a ) Conventional 120 kVp image combined 100% filtered back projection (FBP) with 270 mg I/mL; ( b ) conventional 120 kVp image combined 100%FBP with 370 mg I/mL; ( c ) monochromatic spectral image combined 100%FBP with 270 mg I/mL; and ( d ) monochromatic spectral image combined 50% FBP + 50% adaptive statistical iterative reconstruction (ASiR) with 270 mg I/mL.

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Objective Image Quality Analysis

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Table 2

The CT Attenuation, Objective Image Noises, SNRs, and CNRs of Lesion During AP and VP

Group Number AP VP CT Attenuation (HU) SNR CNR Image Noise (HU) CT Attenuation (HU) SNR CNR Image Noise (HU) A1 20 115.34 ± 38.04 7.70 ± 0.78 3.03 ± 0.98 15.69 ± 0.85 55.09 ± 27.10 4.74 ± 1.74 −1.99 ± 0.11 16.38 ± 0.40 A2 20 116.59 ± 55.81 8.71 ± 0.29 3.95 ± 0.76 14.68 ± 0.71 51.56 ± 31.62 5.45 ± 0.60 −1.63 ± 0.51 15.24 ± 1.03 B 20 70.08 ± 30.22 6.34 ± 0.57 2.71 ± 0.32 13.08 ± 0.41 31.27 ± 21.27 3.95 ± 0.54 −2.36 ± 0.35 14.12 ± 0.37 C 20 61.42 ± 30.80 5.89 ± 0.78 2.21 ± 0.27 13.20 ± 0.47 31.35 ± 29.51 2.96 ± 0.25 −2.76 ± 0.23 14.56 ± 0.48P value A1 vs. A2 0.947 0.000 0.000 0.002 0.787 0.001 0.031 0.000 A1 vs. B 0.004 0.000 0.000 0.000 0.011 0.000 0.020 0.000 A1 vs. C 0.001 0.000 0.000 0.000 0.012 0.000 0.000 0.000 A2 vs. B 0.003 0.000 0.000 0.000 0.022 0.000 0.000 0.000 A2 vs. C 0.001 0.000 0.000 0.000 0.023 0.000 0.000 0.024 B vs. C 0.666 0.000 0.000 0.667 0.995 0.000 0.010 0.123

AP, arterial phase; CNR, contrast-to-noise ratio; HU, Hounsfield unit; SNR, signal-to-noise ratio; VP, venous phase.

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Subjective Image Quality Analysis

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Table 3

The Image Noise Scores, Anatomical Details Scores, Overall Image Quality Scores, and Lesion Conspicuity Scores During Two Phase

Group Image Noise Score Anatomical Details Score Overall Image Quality Score Lesion Conspicuity Score AP VP AP VP AP VP AP VP A1 4.01 ± 0.97 4.17 ± 0.11 3.62 ± 0.25 3.73 ± 0.18 4.03 ± 0.10 4.10 ± 0.88 4.26 ± 0.09 4.12 ± 0.78 A2 4.42 ± 0.80 4.42 ± 0.25 4.36 ± 0.11 4.27 ± 0.57 4.48 ± 0.08 4.43 ± 0.13 4.52 ± 0.05 4.50 ± 0.08 B 3.96 ± 0.19 3.97 ± 0.24 4.31 ± 0.12 4.20 ± 0.17 4.42 ± 0.09 4.37 ± 0.13 4.47 ± 0.07 4.44 ± 0.04 C 3.90 ± 0.15 3.90 ± 0.16 3.30 ± 0.10 3.41 ± 0.31 3.88 ± 0.05 3.91 ± 0.06 4.02 ± 0.09 3.99 ± 0.10P value A1 vs. A2 0.000 0.001 0.000 0.000 0.000 0.000 0.000 0.000 A1 vs. B 0.431 0.292 0.000 0.000 0.000 0.000 0.000 0.000 A1 vs. C 0.103 0.080 0.000 0.002 0.001 0.000 0.000 0.001 A2 vs. B 0.000 0.000 0.485 0.509 0.103 0.184 0.162 0.110 A2 vs. C 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 B vs. C 0.374 0.454 0.000 0.000 0.000 0.000 0.000 0.000

AP, arterial phase; VP, venous phase.

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Figure 6, The mean subjective image quality scores according to the image reconstruction protocols: ( a ) image noise during arterial phase (AP); ( b ) image noise during venous phase (VP); ( c ) anatomical details during AP; ( d ) anatomical details during VP. The box plots indicate the standard deviation of the scores. *Indicates P < 0.0001. (Color version of figure is available online).

Figure 7, The mean subjective image quality scores according to the image reconstruction protocols: ( a ) overall image quality during arterial phase (AP); ( b ) overall image quality during venous phase (VP); ( c ) lesion conspicuity during AP; ( d ) lesion conspicuity during VP. The box plots indicate the standard deviation of the scores. *Indicates P < 0.0001. (Color version of figure is available online).

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Detection Rate

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Table 4

The Detection Rate for Groups According to Tumor Diameters During AP and VP

Diameter Group A1 ( n = 20) Group A2 ( n = 20) Group B ( n = 20) Group C ( n = 20) AP VP AP VP AP VP AP VP d < 1 cm 4/5 4/5 4/5 4/5 3/5 3/5 2/5 2/5 1 cm ≤ d < 3 cm 7/7 7/7 7/7 7/7 7/7 7/7 6/7 6/7 d > 3 cm 8/8 8/8 8/8 8/8 8/8 8/8 8/8 8/8 Sum 19/20 19/20 19/20 19/20 18/20 18/20 16/20 16/20

AP, arterial phase; VP, venous phase.

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Radiation Dose

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Table 5

The CTDIvol, DLP, and ED for Three Groups

Parameters Group A ( n = 20) Group B ( n = 20) Group C ( n = 20) CTDIvol (mGy) 6.81 ± 1.42 \* 9.74 ± 1.23 9.85 ± 1.22 DLP(mGy/cm) 87.56 ± 3.23 \* 120.30 ± 5.00 121.27 ± 4.38 ED (mSv) 1.31 ± 0.05 \* 1.80 ± 0.08 1.82 ± 0.07

CTDIvol, CT dose index volume; DLP, dose length product; ED, effective dose.

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Discussion

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Conclusions

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Acknowledgments

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