Home Iodine Distribution Map in Dual-Energy Computed Tomography Pulmonary Artery Imaging with Rapid kVp Switching for the Diagnostic Analysis and Quantitative Evaluation of Acute Pulmonary Embolism
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Iodine Distribution Map in Dual-Energy Computed Tomography Pulmonary Artery Imaging with Rapid kVp Switching for the Diagnostic Analysis and Quantitative Evaluation of Acute Pulmonary Embolism

Rationale and Objectives

To assess the diagnostic value of dual-energy (DE) computed tomography pulmonary angiography (CTPA) for acute pulmonary embolism (PE) using a helical DE scan mode with rapid kVp switching.

Materials and Methods

Seventy-six patients with suspected acute PE underwent DE CTPA. Two readers independently assessed and measured the iodine maps. CTPA images were assessed for the presence, location, and degree of PE as the standard of reference. Iodine maps were used to identify the perfusion defect (PD), and the diagnostic accuracy of iodine maps was calculated. The iodine concentrations of PDs and normal lung parenchyma were also measured and compared.

Results

A per-patient analysis showed the 84.6% sensitivity and 96.0% specificity of iodine map for PE, and on per-segment analysis, the sensitivity and specificity for PE were 82.9% and 99.6%, respectively. Intraobserver and interobserver variability correlations were excellent, with k values from 0.806 to 1.000. Quantitative analysis showed there was a significant difference for iodine concentration between circumscribed/patchy PDs or wedge-shaped PDs consistent with PE and normal lung parenchyma ( P < .05). The intraobserver reliability of reader 1 was from 0.928 to 0.997, and reader 2 was from 0.912 to 0.995. And, the interobserver reliability between two readers was from 0.967 to 0.999.

Conclusions

CTPA based on DE scanning with rapid kVp switching can provide both morphologic analysis and quantitative evaluation of PD related to acute PE in addition to standard CTPA data. Quantification of iodine concentration may be helpful for identifying the presence or absence of PE.

Acute pulmonary embolism (PE) is the third most common acute cardiovascular disease after myocardial infarction and stroke and can result in very high morbidity and mortality without early diagnosis and appropriate treatment . However, because clinical symptoms, physical examination findings, and laboratory tests are often nonpathognomonic, imaging examination plays an important role in the accurate diagnosis of PE. With the advent of multidetector scanning, computed tomography pulmonary angiography (CTPA) has improved dramatically with respect to image acquisition speed, total scan time, and spatial resolution. Modern CTPA techniques can provide direct visualization of emboli within the pulmonary arteries. Hence, it has become the method of choice for the evaluation of patients with a suspected PE over digital subtraction angiography (DSA) and pulmonary ventilation/perfusion (V/Q) scintigraphy .

Dual-energy (DE) CT (DECT) imaging is a novel approach to mapping the iodine distribution within lung parenchyma at a single time point and demonstrating the pulmonary perfusion . Compared with conventional CTPA, CTPA based on DE imaging not only displays the emboli and related morphologic information but also simultaneously provides function information associated with pulmonary perfusion on the iodine maps. Dual-source CT with two separate detectors has been introduced to assess the endoluminal emboli and lung perfusion for PE in some previous studies . However, they mainly focused on the morphologic analysis of iodine distribution maps. Furthermore, the limited (26 or 33 cm) field of view (FOV) of second detector available in image analysis prevented evaluation of the whole lung in some patients. A single-source CT with rapid kilovoltage switching is another promising DE scanning mode, which ensuring good temporal registration between high- and low-energy data sets and obtaining the full 50-cm FOV for use in image analysis . As a consequence, it permits a complete assessment of the bilateral pulmonary parenchyma, including the peripheral segments. A few studies have demonstrated that DECT system with fast kilovoltage switching is feasible, and quantification of iodine density may be useful to assess the severity of PE with gemstone spectral CT imaging (GSI) . To our knowledge, there are few reports regarding the evaluation of iodine concentrations in the pulmonary parenchyma using DE mode based on 320-detector row CT with rapid kVp switching.

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Materials and methods

Ethics Statement

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Patient Population

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CT Acquisition Protocol

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Data Analysis

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Statistical Analysis

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Results

Dose Measurement

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Diagnosis of Acute PE

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Figure 1, Normal dual-energy (DE) computed tomography images from a 56-year-old woman showing homogeneous color distribution of the lung parenchyma. (a) Transverse pure iodine distribution map; the fusion computed tomography pulmonary angiography/DE iodine images in transverse (b) , sagittal (c) , and coronal (d) orientation.

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Figure 2, Dual-energy (DE) computed tomography images from a 40-year-old woman with pulmonary embolism. Pure iodine map (a) and fusion computed tomography pulmonary angiography/DE iodine maps (b,c,d) showed wedge-shaped perfusion defects in the anterior segment of left upper lobe and basal segments of left lower lobe ( asterisk ) and occlusive emboli in the corresponding left pulmonary arterial branches ( arrow ).

Figure 3, Dual-energy (DE) computed tomography images from a 65-year-old woman with pulmonary embolism. Pure iodine map (a) and fusion computed tomography pulmonary angiography (CTPE)/DE iodine map (b) showed wedge-shaped perfusion defects in basal segments of left lower lobe and lateral segment of right media lobe ( asterisk ). CTPA (c) showed occlusive emboli in the corresponding bilateral pulmonary arterial branches ( arrow ). Lung window (d) showed a normal finding in both lungs.

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Table 1

The Diagnostic Sensitivity and Specificity of Readers 1 and 2 for the Detection of PDs Consist With PE

Reader Per-Patient Analysis Per-Segment Analysis Sensitivity Specificity Sensitivity Specificity Reader 1 (%) First 84.6 (22/26; 77.5–91.7) 92.0 (46/50; 88.2–95.8) 80.6 (112/139; 77.2–84.0) 98.4 (1284/1305; 98.1–98.7) Second 84.6 (22/26; 77.5–91.7) 92.0 (46/50; 88.2–95.8) 81.5 (110/135; 78.2–84.8) 98.1 (1284/1309; 97.7–98.5) Intraobserver 1.000 0.908 Reader 2 (%) First 80.8 (21/26; 65.7–95.9) 90.0 (45/50; .85.8–94.2) 78.3 (108/138; 74.8–81.8) 97.5 (1274/1306; 97.1–97.9) Second 80.8 (21/26; 65.7–95.9) 90.0 (45/50; 85.8–94.2) 77.8 (105/135; 74.2–81.4) 97.3 (1274/1309; 96.9–97.7) Intraobserver 1.000 0.907 Interobserver 0.866 0.806

PD, perfusion defect; PE, pulmonary embolism.

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Figure 4, Dual-energy (DE) computed tomography images from a 35-year-old woman (a,b) and a 43-year-old man (c,d) without pulmonary embolism. The fusion computed tomography pulmonary angiography (CTPA)/DE iodine map (a) showed patchy perfusion defect in the right lower lobe and lung window (b) demonstrated the exudative lesion in the corresponding lobe ( arrow ). Also, note the bilateral pleural effusions. The fusion CTPA/DE iodine map (c) showed circumscribed perfusion defect in the left upper lobe and lung window (d) demonstrated pulmonary bullae in the corresponding lobe ( arrow ).

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Quantitative Measurement of Iodine Map

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Table 2

Measurements of Iodine Concentrations (Hounsfield Unit) of Wedge-Shaped or Circumscribed/Patchy PD and Corresponding Normal Lung on the Other Side From Two Readers

Reader Iodine Concentration Iodine Concentration Wedge-Shaped PD Normal Lung_P_ Value Circumscribed/Patchy PD Normal Lung_P_ Value Reader 1 First 11.87 ± 7.25 36.58 ± 13.49 .000 10.60 ± 4.53 38.44 ± 13.27 .001 Second 12.18 ± 7.77 34.95 ± 10.78 .000 12.77 ± 6.14 41.64 ± 12.52 .000 Reader 2 First 11.54 ± 7.19 38.34 ± 11.55 .000 12.36 ± 8.95 36.13 ± 12.72 .000 Second 13.15 ± 8.17 37.54 ± 11.62 .000 11.79 ± 6.26 39.45 ± 11.84 .000

PD, perfusion defect.

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Table 3

Measurements of Iodine Concentrations (Hounsfield Unit) of Ventral and Dorsal Part of Normal Lung From Two Readers

Reader Right Lung Left Lung Ventral Part Dorsal Part_P_ Value Ventral Part Dorsal Part_P_ Value Reader 1 First 23.58 ± 7.56 36.97 ± 13.13 .000 23.64 ± 9.31 38.85 ± 15.24 .000 Second 27.00 ± 8.49 41.05 ± 14.42 .000 27.38 ± 8.90 43.30 ± 13.62 .000 Reader 2 First 22.16 ± 6.91 37.59 ± 13.51 .000 21.76 ± 8.05 38.94 ± 13.57 .000 Second 25.86 ± 8.22 39.86 ± 12.71 .000 24.21 ± 8.33 40.32 ± 12.26 .000

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Table 4

Intraobserver and Interobserver Variability of the Iodine Concentration Measurements for Each Reader Based on ICC (95% Confidence Interval)

Measurement Intraobserver Interobserver Reader 1 Reader 2 Wedge-shaped PD 0.954 (0.913–0.976) 0.957 (0.919–0.977) 0.993 (0.986–0.996) Normal lung on the other side 0.987 (0.975–0.993) 0.993 (0.986–0.996) 0.997 (0.994–0.998) Circumscribed/patchy PD 0.928 (0.834–0.970) 0.912 (0.800–0.963) 0.992 (0.982–0.997) Normal lung on the other side 0.997 (0.992–0.999) 0.995 (0.988–0.998) 0.999 (0.997–1.000) Left lung, ventral part 0.980 (0.956–0.991) 0.969 (0.933–0.986) 0.998 (0.996–0.999) Left lung, dorsal part 0.957 (0.908–0.980) 0.935 (0.862–0.970) 0.993 (0.985–0.997) Right lung, ventral part 0.939 (0.869–0.972) 0.932 (0.855–0.969) 0.995 (0.989–0.998) Right lung, dorsal part 0.933 (0.882–0.951) 0.972 (0.958–0.987) 0.967 (0.929–0.985)

ICC, intraclass and interclass correlation coefficient; PD, perfusion defect.

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Discussion

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Acknowledgments

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