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AJR 2005; 184:1935-1939
© American Roentgen Ray Society

MDCT Angiography of the Pulmonary Arteries: Influence of Iodine Flow Concentration on Vessel Attenuation and Visualization

Helmut Schoellnast, Hannes A. Deutschmann, Gerald A. Fritz, Uwe Stessel, Gottfried J. Schaffler and Manfred Tillich

Department of Radiology, Medical University and University Hospital Graz, Auenbruggerplatz 9, Graz 8036, Austria.

Received May 22, 2004; accepted after revision September 9, 2004.

 
Address correspondence to M. Tillich.


Abstract
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
OBJECTIVE. Our objective was to assess the influence of iodine flow concentration on attenuation and visualization of the pulmonary arteries in thoracic MDCT angiography.

MATERIALS AND METHODS. One hundred consecutive patients who were referred to our department with suspected acute pulmonary embolism underwent MDCT angiography of the pulmonary arteries either with 120 mL of standard contrast medium (300 mg I/mL) (group A) or with 90 mL of high-concentration contrast medium (400 mg I/mL) (group B). The contrast medium was injected at a flow rate of 4 mL/sec. The scan delay was determined using a semiautomatic bolus-tracking system in all examinations conducted with the same scanning parameters. Quantitative analysis was performed by region-of-interest measurements along the z-axis to compare the attenuation profiles of the two groups. Attenuation of the fourth-, fifth-, and sixth-order arteries was assessed visually for differences between the two groups.

RESULTS. The mean enhancement along the z-axis was 268 ± 56 H in group A and 344 ± 108 in group B. The difference of 76 H was statistically significant (p < 0.001). The attenuation profile was similar in both groups. The detection rate of fifth- and sixth-order arteries was significantly higher in group B than in group A (94% compared with 91% and 72% compared with 60%, respectively, p < 0.01).

CONCLUSION. Use of a high flow concentration of iodine in MDCT angiography of the pulmonary arteries significantly increases attenuation of the pulmonary arteries, thereby improving visualization of subsegmental pulmonary arteries.


Introduction
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Helical CT angiography (CTA) of the pulmonary arteries has gained an important role in the diagnosis of patients with suspected pulmonary embolism [1-8]. Sensitivity at the level of the subsegmental pulmonary arteries has been a limitation of single-detector CTA [6]. The development of MDCT angiography led to improved depiction of subsegmental pulmonary arteries due to faster scanning at thinner collimation over a larger scanning volume [9-12]. Aside from fast-scanning technique and thin collimation, optimal arterial attenuation remains one of the most crucial determinants of sufficient depiction of the pulmonary arteries. Arterial attenuation over time is generally determined by iodine flow concentration, which may be increased by raising the contrast flow rate or by using a contrast medium with a high iodine concentration [13].

This study tested two hypotheses. The first was that an increased flow concentration of iodine improves attenuation of the pulmonary arteries. The second was that visualization of subsegmental pulmonary arteries might be improved in MDCT angiography of the pulmonary arteries.


Materials and Methods
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Patient Population
One hundred consecutive patients who were referred to our department with suspected acute pulmonary embolism underwent MDCT angiography of the pulmonary arteries either with standard contrast medium (group A) or with high-concentration contrast medium (group B). Patient demographics and characteristics are listed in Table 1. One patient underwent CTA initially with standard contrast medium and in a follow-up examination with high-concentration contrast medium.


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TABLE 1 Patient Demographics for Both Groups

 

Acquisition Protocol
In group A, MDCT angiography of the pulmonary arteries was performed with 120 mL of standard contrast medium (iopromide [Ultravist], 300 mg I/mL, Schering) administered at a flow rate of 4 mL/sec, whereas in group B 90 mL of high-concentration contrast medium was injected (iomeprol [Iomeron], 400 mg I/mL, Bracco) at the same flow rate. Both groups received a total iodine dose of 36 g. The scan delay was estimated using a semiautomatic bolus-tracking system (SmartPrep, GE Healthcare) with a threshold of 80 H in all examinations. Regions of interest (ROIs) for bolus tracking were set in the right atrium. All scans were initiated manually after a breathing command with a gap of 3 sec between manual initiation of the scan and the beginning of the scan. The mean scan delay was 14.5 ± 2.8 sec for group A and 15.1 ± 2.3 sec for group B. Before the contrast medium was administered, saline injections were manually administered with the patient's arm in scanning position to ensure successful cannulation of the vein. After administration of the contrast bolus, a saline solution flush of 40 mL was administered using a double-syringe power injector (Missouri CT-Injector XD 2001, Ulrich). Scanning was performed with an MDCT scanner (LightSpeed QXi, GE Healthcare) with four detector arrays. The scans were obtained with a detector configuration of 1.25 mm, a pitch of 1.5 (high-speed mode), a reconstruction increment of 0.8 mm, and a section thickness of 1.25 mm. The gantry rotation time was 0.8 sec. All scanning was caudal to cranial from the dome of the diaphragm to the apex of the lung. The mean scanning time was 19.5 ± 2.9 sec for group A and 20.6 ± 3.2 sec for group B. The mean scanning range was 17.4 ± 2.7 cm for group A and 18.3 ± 2.5 cm for group B. An X-ray tube voltage of 120 kV and a current of 230-250 mA were used in all examinations.

Image Analysis
All CT scans were loaded on a workstation (MagicView, Siemens). Quantitative analysis was performed by ROI measurements along the z-axis. The following arteries were measured: subsegmental and segmental arteries of the lower lobes, lower lobe arteries, main pulmonary arteries, upper lobe arteries, and segmental and subsegmental arteries of the upper lobes. When more measurements were obtained per table position (e.g., subsegmental and segmental level in the upper and lower lobes), the measurements were averaged. The distance between the measurements was 1.2 cm. An attempt was made to maintain an ROI including nearly the whole vessel diameter and to localize the ROI in areas without artifacts. For each measurement, the mean attenuation was recorded. In addition, the diameter of the pulmonary trunk was recorded. All measurements were performed by one observer, who was unaware of the patient's group.

Visual analysis was performed by four radiologists. Consensus interpretation was performed by at least two reviewers, who scored peripheral arteries as visualized or not visualized. An artery was considered visualized when contrast enhancement was detected from the proximal to the distal portion of the artery. The arteries were named according to the nomenclature of Remy-Jardin et al., as described by Boyden [14], and according to the nomenclature of Jackson and Huber [15]. Twenty segmental (third-order) and 40 subsegmental (fourth-order) arteries are described in this nomenclature. The fifth-order arteries were recognized as dichotomous divisions of the corresponding subsegmental branch, and the sixth-order arteries were recognized as dichotomous divisions of the corresponding fifth-order arteries. Visual analysis was performed only on segments that did not show pulmonary embolism; respiratory motion artifacts; cardiac motion artifacts; pulmonary abnormalities such as consolidation, atelectasis, and edema; pleural effusion; or anatomic variants that made assignment to a vessel order impossible. Simultaneous use of a mediastinal window setting (window width, 350 H; window center, 50 H) and lung window setting (window width, 1,200 H; window center, -600 H) was applied in all investigations. For evaluation of differences in detection rates along the z-axis, the arteries of both upper lobes; the arteries of the middle lobe, the lingua, and the superior segments of the lower lobes; and the arteries of the basal segments of the lower lobes were analyzed separately.

In patients with CT confirmation of pulmonary embolism, the mean density of the emboli was computed by measuring each embolus per arterial segment three times. Subsequently, the difference in Hounsfield units between mean density of emboli and mean arterial attenuation was calculated per patient and averaged for the group. In addition, the conspicuity of the emboli was analyzed visually using a 3-point scale: low (low attenuation difference between contrast-enhanced arterial lumen and emboli), moderate (moderate attenuation difference between contrast-enhanced arterial lumen and emboli), and excellent (high-density difference between contrast-enhanced arterial lumen and emboli).

Perivenous artifacts adjacent to the superior vena cava were graded by two observers in consensus using a 3-point scale: grade 1 (negligible artifacts), grade 2 (moderate artifacts but all vessel portions clearly diagnostic), and grade 3 (severe or extensive artifacts that might lead to misinterpretation in some vessel portions).

Statistical Analysis
Mean attenuation along the z-axis was calculated per patient, averaged for each group, and compared using Student's t test for unpaired samples. In addition, the mean diameter of the pulmonary trunk was calculated for each group and compared using Student's t test for unpaired samples. The significance of differences in detecting fourth-, fifth-, and sixth-order arteries and the significance of differences in classifying perivenous artifacts were tested using the chi-square test. Two-sided p values of less than 0.05 were considered to indicate statistical significance. The Statistical Package for the Social Sciences software (SPSS, Inc.) was used.


Results
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Abstract
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Materials and Methods
Results
Discussion
References
 
No adverse reactions occurred in our study population. The mean attenuation along the z-axis was 268 ± 56 H in group A and 344 ± 108 H in group B. The difference of 76 H was statistically significant (p < 0.001) (Figs. 1A, and 1B). The attenuation profile was similar in both groups, showing an increase of attenuation to an attenuation plateau and a decrease of attenuation at the end of the scanning volume (Fig. 2).



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Fig. 1A. Sliding thin-slab maximum-intensity-projection (MIP) images of 63-year-old man who underwent CT angiography of pulmonary arteries twice. 120 mL standard contrast media (300 mg I/mL).

 


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Fig. 1B. Sliding thin-slab maximum-intensity-projection (MIP) images of 63-year-old man who underwent CT angiography of pulmonary arteries twice. 90 mL high-concentration contrast media (400 mg I/mL). Note increased enhancement of the left main pulmonary artery (long arrow) and more uniform visualization of lateral and anterior subsegmental artery of anterior segmental artery of left upper lobe (short arrows) in B. Sliding thin slab MIP images were obtained for illustration only; within-study assessment of peripheral arteries was performed on axial images. Thickness of slab, window width, and window center were identical in both images. Enhancement of main pulmonary arteries was 213 H in A and 340 H in B.

 


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Fig. 2. Profile of contrast enhancement along z-axis for groups A (gray line) and B (black line). Shape of both enhancement profiles is similar, with an increase of enhancement to a plateau and a decrease at end of scanning volume. Enhancement profile was on higher level for group B than for group A.

 
A total of 530 segments were evaluated in group A, and a total of 542 in group B. Table 2 lists the causes for exclusion of the remaining segments. In groups A and B, all subsegmental (fourth-order) arteries were depicted. In group A, 91% of the fifth-order arteries were depicted, compared with 94% in group B (p < 0.01). The detection rate of the sixth-order arteries was significantly higher in group B (72%) than in group A (60%) (p < 0.001) (Figs. 3A, and 3B). The arterial detection rates along the z-axis are listed in Table 3.


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TABLE 2 Causes for Exclusion of Segments from Visual Analysis

 


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Fig. 3A. Multiplanar reformatted images of two patients with pulmonary embolism. 51-year-old man who underwent CT angiography (CTA) with 120 mL standard contrast media (300 mgl/mL). Axial-oblique multiplanar reformatted images through pulmonary emboli in segment artery (arrow) of left lower lobe.

 


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Fig. 3B. Multiplanar reformatted images of two patients with pulmonary embolism. 64-year-old woman who underwent CTA with 90 mL high-concentration contrast media (400 mgl/mL). Coronal-oblique multiplanar reformatted images through pulmonary emboli in segment artery (arrow) of right lower lobe. Note better conspicuity of emboli in B. Multiplanar reformatted images were obtained for illustration only; within-study assessment of peripheral arteries was performed on axial images.

 

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TABLE 3 Detection Rate of Fifth- and Sixth-Order Arteries According to Position Along z-Axis

 

In the patients with CT-confirmed pulmonary embolism (11 patients in group A, 12 patients in group B) the mean density of the emboli was 59 H in group A and 51 H in group B. In these patients, the mean arterial attenuation along the z-axis was 261 H in group A and 358 H in group B. Consequently, the mean difference in Hounsfield units between emboli and contrast-enhanced arterial lumen was 202 H in group A and 307 H in group B. Emboli conspicuity was graded as low in one, moderate in seven, and excellent in three patients of group A, whereas in group B, emboli conspicuity was graded as moderate in four patients and excellent in eight patients (Figs. 3A, and 3B). However, statistical analysis was not performed on this subgroup because of the small number of patients.

There was no significant difference in classifying perivenous artifacts between the two groups (p = 0.831). In group A, perivenous artifacts were classified as minimal in 12 patients (24%), as moderate in 28 patients (56%), and as severe in 10 patients (20%). In group B, perivenous artifacts were classified as minimal in 14 patients (28%), as moderate in 25 patients (50%), and as severe in 11 patients (22%).


Discussion
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Two aspects are crucial in the identification of small vessels in CTA: slice thickness and vessel attenuation. Several studies have revealed the influence of slice thickness and the accuracy of MDCT in the detection of subsegmental arteries in CTA of the pulmonary arteries [6, 9-12]. These studies showed that a narrow collimation significantly improved visualization of segmental and subsegmental pulmonary arteries. The visualization rate was highest with a collimation of 1.25 or 1 mm. With these detector configurations, subsegmental (fourth-order) arteries were visualized in 71-96% [9, 11], fifth-order arteries in 74% [9], and sixth-order arteries in 35% [9].

The number of iodine molecules administered over time generally determines vessel attenuation. The iodine flow concentration can be increased by increasing the injection flow rate using a contrast medium with a high iodine concentration [13]. However, increasing the injection rate implies the use of IV catheters of larger diameters, which may be impossible in some patients. In our study, a high-concentration contrast medium (400 mg I/mL) was used to assess whether an increased flow concentration of iodine improves attenuation and visualization of pulmonary arteries. We injected the contrast medium at an injection rate of 4 mL/sec in both groups. Therefore, 1.2 g of iodine per second was administered in group A, and 1.6 g of iodine per second in group B. The higher flow concentration of iodine in group B led to a significantly improved attenuation along the z-axis without change of the shape of the attenuation profile (Fig. 2). The result was significantly better depiction of fifth-order and sixth-order pulmonary arteries (Figs. 1A, and 1B). No significant difference was found in the detection rate of fourth-order arteries. The differences in detection rate of the subsegmental pulmonary arteries were similar in the upper, middle, and lower parts of the scanning volume, in accordance with the measured attenuation profile (Table 3).

The high number of visualized subsegmental and lower-order arteries in the present study, compared with the number found by prior investigations [9, 11], may be explained by the different study designs. In contrast to those investigations, we evaluated the peripheral pulmonary arteries in a well-selected subgroup of segments: All segments that showed respiratory motion artifacts; cardiac motion artifacts; pulmonary emboli; pulmonary abnormalities such as consolidation, atelectasis, and edema; pleural effusion; or anatomic variants that made assignment to a vessel order impossible were excluded from visual analysis. The purpose of this exclusion was to avoid the influence of abnormalities or artifacts on arterial visualization and thus to point out differences in visualization of subsegmental and lower order arteries due to different attenuation based on different iodine flow concentrations.

To permit statistically comparable analysis of data, we assigned patients consecutively into group A or B. The two groups showed no statistically significant difference in body weight (Table 1). Also, the incidence of pulmonary embolism; pleural effusion; and pulmonary abnormalities such as consolidation, atelectasis, and edema was nearly the same in both groups (Table 2). In addition, the mean diameter of the main pulmonary artery was identical in both groups. Consequently, attenuation measurements along the z-axis were unlikely to have been influenced by differences in pulmonary perfusion related to patient weight, parenchymal abnormalities, or pulmonary hypertension between the two groups. All examinations were performed with the same 4-MDCT scanner with a collimation of 1.25 mm as optimal slice thickness for detection of small pulmonary arteries [6, 9, 11, 12]. For scanners that are 16-MDCT or greater, one can assume that the volume of contrast medium may be reduced in both groups because of the shorter scanning time. The absolute attenuation values in both groups may be different from the values achieved in this investigation, because the faster data acquisition allows scanning during the plateau phase of contrast enhancement. However, the profile of the time-attenuation curve is not influenced by faster scanning; therefore, the difference in attenuation values between the two groups may not change. We used a semiautomatic bolus-tracking system to consider the different cardiovascular statuses of the patients. The mean scan delay was about 15 sec in both groups. One may expect the more concentrated contrast medium to reach the threshold level more quickly than the less concentrated one. Several reasons account for the variability in start delay when using a semiautomated bolus-tracking device. First, the scans were started manually by the radiologic technicians after the threshold level had been reached on the steep upward time-attenuation curve; second, a breathing command was given after the threshold level had been reached.

A flush of saline solution was used after contrast material administration to avoid pooling of the contrast material in the arm veins and in the injection system and to reduce perivenous artifacts in the superior vena cava [16]. Doubtless, one may expect more artifacts when using more concentrated contrast media. We assume the reason for the similar artifacts in the two groups was that, in group B, injection of the contrast medium had already been completed when the scan plane reached the superior vena cava (injection time, 22.5 sec; scan delay + scanning time, 35 sec) and that the contrast medium was diluted by the saline solution flush. In group A, the injection time was 30 sec, and consequently, the contrast medium was less diluted when the scan plane reached the superior vena cava.

Emboli conspicuity was better in group B than in group A (Figs. 3A, and 3B). Also, the density difference between the emboli and the contrast-enhanced arterial lumen was greater in group B. However, because of the low number of patients with CT confirmation of pulmonary embolism (11 patients in group A, 12 patients in group B) we did not test statistical significance in this subgroup. In addition, analysis of conspicuity of emboli in different patient populations is spurious because there is no gold standard to prove presence or absence of emboli. One can assume that emboli conspicuity would be improved by improving pulmonary artery attenuation and visualization of small pulmonary arteries. However, further investigations are necessary to support this assumption.

The potential higher detection rate of fifth- and sixth-order arteries may be the subject of controversy, and the impact on clinical management is questionable. A higher detection rate of isolated emboli in the higher order arteries may be of clinical relevance in young patients to detect deficiency syndromes such as protein P or S resistance or lack of anti-thrombin III. Such detection may help to prevent further clinically relevant pulmonary embolism by allowing initiation of diagnostic and therapeutic procedures. However, further investigations are necessary for validation of this hypothesis. When it turns out that subsegmental pulmonary embolism does not affect patients' clinical outcome, the iodine dose may be reduced without impairing attenuation of the pulmonary arteries, compared with standard contrast media.

Use of a high-concentration contrast medium may be more or less expensive than use of a standard contrast medium because of the variability in prices between vendors. The reduced volume may compensate partially or fully for the higher purchase price of the high-concentration contrast medium.

In conclusion, use of a high-concentration contrast medium significantly improves attenuation of the pulmonary arteries, leading to better visualization of subsegmental and lower-order arteries in MDCT angiography of the pulmonary arteries.


References
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

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