Characteristics and clinical value of 3D MR imaging in the diagnosis of pulmonary embolism
- Authors:
- Published online on: July 22, 2016 https://doi.org/10.3892/etm.2016.3539
- Pages: 1760-1764
-
Copyright: © Hu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Pulmonary embolism (PE) is widely acknowledged as an emergency vascular disease (1) that is frequently neglected and misdiagnosed, and can result in mortality. Early symptoms are atypical, while 30–65% of patients may be asymptomatic. Dyspnea, pectoralgia and hemoptysis are the triad of symptoms of the disease, although they only occur in 3–20% of patients (2). Acute PE can occur in patients with acute myocardial infarction and aortic dissection (3). Although therapy, including anticoagulation, thrombolysis and thrombectomy, is available, its efficacy are not satisfactory (4).
Lack of awareness in the early diagnosis is an important risk factor (5). The development of diagnostic technologies such as multislice computed tomographic pulmonary angiography (msCTPA) and MRPA have led to improvement in the diagnosis of PE, reaching up to 80–95% (6). 3D dynamic contrast-enhanced magnetic resonance pulmonary angiography (3D-DCE-MRPA) surpasses msCTPA in screening the pulmonary artery for emboli, reduces X-ray exposure and the negative effects of contrast agent (7).
The aim of the present study was to examine the characteristics of imaging in the diagnosis of PE.
Patients and methods
Patients
Sixty patients suspected highly of having acute PE were selected between January, 2013 and January, 2016 in the People's Liberation Army 107th Hospital. The exclusion criteria for the study were: Severe cases; <72 h of expected survival; complications including acute myocardial infarction, aortic dissection or sudden death; chronic PE; primary lung diseases such as chronic obstructive pulmonary disease, lung cancer or bronchiectasia; failure to end emergent computed tomography (CT) or magnetic resonance imaging (MRI); unqualified image and undiagnosed PE. Thirty cases, including 18 men and 12 women, aged 37–76 years with an average age of 56.4±13.8 years, were analyzed using 3D-DCE-MRPA. Twenty-two patients had increasing D-dimer levels while 14 had deep venous thrombosis (DVT). Thirty cases, including 17 men and 13 women, aged 39–79 years, with an average age of 57.2±15.6 years, were analyzed using msCTPA. Four had increasing D-dimer levels while 12 had DVT.
The study was approved by the Ethics Committee of the the People's Liberation Army 107th Hospital. Informed consent was obtained from the patients and/or their families.
3D-DCE-MRPA
The 3.0T MRI system (MAGNETOM Avanto, Siemens, Erlangen, Germany) and its software INDY R500 Silicon Graphic station were used. The contrast agent used was 469 mg Gd-DTPA (Guangzhou Consun Pharmaceutical Co., Ltd., Guangzhou, China), which was administered intravenously (22GA1.001N, 0.9×25 mm) (Becton-Dickinson, Suzhou, China). Cardiac gating was applied, and standard transverse, coronal and sagittal scans were taken including T1WI, fast spin echo (FSE) and 3D fast field echo (FFE) under the coronal section (Table I). The region of interest (ROI) was found, and a scan slice was set from the pulmonary trunk to the posterior thoracic vertebra. Breath holding was key for the scanning and patients were instructed to hold their breaths for 20 sec at 10-sec intervals. Four groups of images, including arterial-phase and delayed-phase, were obtained. Maximum intensity projection (MIP) was used for high resolution dimensional reconstructed radiography. Scans were rotated 15° along their axes, resulting in 13 multi-planar rotated images for observation.
MSCTPA
A Somatom Definition CT scanner was used for examinations from the thoracic inlet to the level of the costophrenic angle. Iopromide (370 mg) was used as the contrast agent, and the scans were taken automatically with the pulmonary trunk as the ROI (threshold, 90–100 HU). The scanning parameters were as follows: Collimation, 0.6 mm; changing pitch, 1.35–1.55 with heart rate; slice thickness, 0.75 mm; reconstructive interval, 0.5 mm; voltage, 120 kV; tube current, 180–250 mAs, rotation time, 0.33 sec; and scanning time, 4–6 sec. Original data were used for multi-planar reconstruction (MPR), MIP and volume rendering (VR).
Observation indexes
Direct signs including the location, number, and formation of emboli, as well as indirect signs including pulmonary infarction, pneumonia, and pleural effusion, were analyzed. Image quality was contrasted, the pulmonary artery branch was revealed, and differences of sensitivity, specificity and signal-to-noise ratio (SNR) were assessed.
Following embolism, the pulmonary trunk, left and right pulmonary arteries, transverse diameter of the phrenic artery, signal strength of corresponding surface and cervical muscles, and the standard deviation of background noise, were analyzed in the original and MIP reconstructed images. The SNR of corresponding vessels and carrier-to-noise ratio (CNR) between vessels and cervical muscles were calculated as follows: SNR = average signal strength of ROI/noise standard deviation, and CNR = SNRvessel - SNRcervical muscle. The quality of artery images were divided into four grades. Grade I was poor quality, with blurring of the pulmonary artery segment and part of the subsegment in addition to considerable vein overlap which affected the diagnosis. Grade II appeared normal, with rough segment of the pulmonary artery and part of the subsegment in addition to a moderate amount of pulmonary vein overlap which affected the diagnosis slightly. Grade III images were of good quality, with clearly visible segment of the pulmonary artery part of the subsegment as well as minor vein overlap which conformed to the diagnosis. Grade IV images were optimal, with clear pulmonary artery segment and part of subsegment with little vein overlap which made for accurate diagnosis. The levels of the pulmonary branch were classified as: Pulmonary trunk was level 1, left and right pulmonary arteries were level 2, interlobar artery was level 3, segmental artery was level 4, subsegmental artery (grade I) was level 5, and grade II subsegmental artery was level 6. The pulmonary artery tapered and any interruption or filling defects that contrasted with its normal formation were considered diagnostic criteria of PE.
Statistical analysis
Data were analyzed using SPSS. Quantitative data are presented as mean ± standard deviation. Differences among the groups were assessed by t-test and χ2 test. Countable data were expressed as case or percentage (%). Ranked data were evaluated by Kruskal-Wallis. P<0.05 was considered to indicate a statistically significant difference.
Results
Comparison of direct signs
The average number and different formations of emboli in the two groups were compared, and there were no significant differences (P>0.05). There were more emboli appearing in segmental or subsegmental arteries in the MRI group, and the difference was significant (P<0.05) (Table II).
Comparison of indirect signs
We compared the indirect signs between the two groups, but there were no significant differences (P>0.05) (Table III).
Comparison of image quality, pulmonary artery branches and SNR
Image quality in the two groups was not statistically different (P>0.05). There were more level 5 and 6 pulmonary arteries in the MRI group than in the CT group, which also had higher SNR and CNR. The differences were significant (P<0.05) (Table IV).
Comparison of sensitivity and specificity in diagnosis
Twenty-six cases of PE were confirmed in the CT group, in which sensitivity was 90.5% and specificity was 86.7%. Twenty-five cases were confirmed in the MRI group, in which sensitivity was 92.3% and specificity was 84.2%.
Discussion
The process of imaging by 3D-DCE-MRPA was performed as follows: Paramagnetic contrast agent was injected which shortened the T1 time to adjacent tissues, including adipose tissue. FFE was selected for scanning of the targeted vessels while patients held their breath. After reconstruction of MIP, well-defined and high-resolution vessel images were obtained. The images were observed at every angle and there was no need to apply spatial pre-saturation, which eliminated disadvantages such as unenhanced MRA, making it suitable for large vessels such as the pulmonary artery. Pulmonary emboli were revealed with filling defects in the pulmonary trunk or branch or with disconnection, blocking, narrowing or deficiency of pulmonary arterial branches (8). It has been shown that if emboli are located in the center of the lumen, a ‘track sign’ appears (9). Compared to msCTPA, 3D-DCE-MRPA allowed for the acquisition of multidimensional images, and the pulmonary vessels in the macropinacoid, middle lobular and lingular artery were seen with precision (10). Therefore, 3D-DCE-MRPA is superior to msCTPA in revealing smaller pulmonary arterial branches. Similarly, examination of the deep vein in the pelvis and lower limbs is convenient and precise (11). PE and deep vein thrombosis are defined as different stages of venous thromboembolism (VTE), advancing the screening of potential PE. Sensitivity in diagnosing PE approached 100%, specificity was 95%, the positive predictive value was 86% and the negative predictive value was 100% (12).
Use of msCTPA in diagnosing emboli in the pulmonary trunk, interlobar and segmental artery is highly accurate, with a sensitivity of 94–98%, and specificity of 96–99%. However, diagnosis in the subsegmental and peripheral vessels proved more difficult (13). In addition, more contrast agent was needed for enhanced scanning, which is toxic and can have adverse effects on patients with liver or kidney dysfunction (14). High resolution time leads to monocyclic reconstruction time being shortened to 83 msec. This avoids artifacts caused by the heartbeat and breathing and enhances image quality and efficiency of diagnosis. In addition, peripheral vessels, such as the pulmonary artery and aorta were clearly presented (15). Original images, with high spatial resolution provided a high guarantee for post-processing techniques. The value of isotropic projection reconstruction was obtained, without the misdiagnosis of vertical and subsegmental arteries (16). The requirements for diagnosis and treatment of acute chest pain were met. Standard diagnostic requirements, such as examining for the triad of symptoms of PE, obtaining images of the coronary artery, pulmonary artery and other large vessels in the thorax were unnecessary and were accomplished by a single, rapid scan in order for the diagnoses to be made rapidly and with precision (17). Various post-processing techniques of images guaranteed definite identification of emboli within the pulmonary artery. Intra-arterial filling-defects were shown in MPR. The subtypes were identified and pulmonary artery filling-defects were revealed in the multi-directional and multi-angle phase. Emboli in the horizontal segmental and subsegmental pulmonary arteries were precisely diagnosed (18). The pulmonary artery has been directly visualized with the assistance of MIP and VR technology. In particular, the location of the pulmonary segmental artery has been directly visualized (19), providing exact objective evidence for physicians.
In conclusion, the average number and formations of emboli in the two groups were compared, and no significant differences were observed. There were more emboli appearing in the segmental or subsegmental arteries in the MRI group, and the difference was statistically significant. A comparison of indirect signs between the two groups revealed no significant differences. The image quality in the two groups was not statistically different. Level 5 and 6 pulmonary arteries were observed more in the MRI group than in the CT group, with higher SNR and CNR. The differences were significant. Twenty-six cases of PE were confirmed in the CT group, with sensitivity of 90.5% and specificity of 86.7%. Twenty-five cases were confirmed in the MRI group, with a sensitivity of 92.3% and specificity of 84.2%. Compared with msCTPA, more segmental or subsegmental pulmonary arteries were observed using 3D-DCE-MRPA, with enhanced SNR.
References
Kabrhel C, Rosovsky R, Channick R, Jaff MR, Weinberg I, Sundt T, Dudzinski DM, Rodriguez-Lopez J, Parry BA, Harshbarger S, et al: A multidisciplinary pulmonary embolism response team (PERT) -initial 30-month experience with a novel approach to delivery of care to patients with sub-massive and massive PE. Chest. 19:2–3. 2016. | |
Tan S and Haramati LB: Overdiagnosis versus misdiagnosis of pulmonary embolism. AJR Am J Roentgenol. 206:W592016. View Article : Google Scholar : PubMed/NCBI | |
Rémy-Jardin M, Pistolesi M, Goodman LR, Gefter WB, Gottschalk A, Mayo JR and Sostman HD: Management of suspected acute pulmonary embolism in the era of CT angiography: a statement from the Fleischner Society. Radiology. 245:315–329. 2007. View Article : Google Scholar : PubMed/NCBI | |
Barco S, Lankeit M, Binder H, Schellong S, Christ M, Beyer-Westendorf J, Duerschmied D, Bauersachs R, Empen K, Held M, et al: Home treatment of patients with low-risk pulmonary embolism with the oral factor Xa inhibitor rivaroxaban. Rationale and design of the HoT-PE Trial. Thromb Haemost. 116:23–24. 2016. View Article : Google Scholar | |
van Belle A, Büller HR, Huisman MV, Huisman PM, Kaasjager K, Kamphuisen PW, Kramer MH, Kruip MJ, Kwakkel-van Erp JM, Leebeek FW, et al: Christopher Study Investigators: Effectiveness of managing suspected pulmonary embolism using an algorithm combining clinical probability, D-dimer testing, and computed tomography. JAMA. 295:172–179. 2006. View Article : Google Scholar : PubMed/NCBI | |
Hutchinson BD, Navin P, Marom EM, Truong MT and Bruzzi JF: Overdiagnosis of pulmonary embolism by pulmonary CT angiography. AJR Am J Roentgenol. 205:271–277. 2015. View Article : Google Scholar : PubMed/NCBI | |
Yilmaz E, Akkoclu A, Degirmenci B, Cooper RA, Sengun B, Gulcu A, Osma E and Ucan ES: Accuracy and feasibility of dynamic contrast-enhanced 3D MR imaging in the assessment of lung perfusion: comparison with Tc-99 MAA perfusion scintigraphy. Clin Radiol. 60:905–913. 2005. View Article : Google Scholar : PubMed/NCBI | |
Kalb B, Sharma P, Tigges S, Ray GL, Kitajima HD, Costello JR, Chen Z and Martin DR: MR imaging of pulmonary embolism: diagnostic accuracy of contrast-enhanced 3D MR pulmonary angiography, contrast-enhanced low-flip angle 3D GRE, and nonenhanced free-induction FISP sequences. Radiology. 263:271–278. 2012. View Article : Google Scholar : PubMed/NCBI | |
Ersoy H, Goldhaber SZ, Cai T, Luu T, Rosebrook J, Mulkern R and Rybicki F: Time-resolved MR angiography: a primary screening examination of patients with suspected pulmonary embolism and contraindications to administration of iodinated contrast material. AJR Am J Roentgenol. 188:1246–1254. 2007. View Article : Google Scholar : PubMed/NCBI | |
Kluge A, Luboldt W and Bachmann G: Acute pulmonary embolism to the subsegmental level: diagnostic accuracy of three MRI techniques compared with 16-MDCT. AJR Am J Roentgenol. 187:W7–14. 2006. View Article : Google Scholar : PubMed/NCBI | |
Stein PD, Chenevert TL, Fowler SE, Goodman LR, Gottschalk A, Hales CA, Hull RD, Jablonski KA, Leeper KV Jr, Naidich DP, et al: PIOPED III (Prospective Investigation of Pulmonary Embolism Diagnosis III) Investigators: Gadolinium-enhanced magnetic resonance angiography for pulmonary embolism: a multicenter prospective study (PIOPED III). Ann Intern Med. 152:434–443, W142–W143. 2010. View Article : Google Scholar : PubMed/NCBI | |
Keilholz SD, Bozlar U, Fujiwara N, Mata JF, Berr SS, Corot C and Hagspiel KD: MR diagnosis of a pulmonary embolism: comparison of P792 and Gd-DOTA for first-pass perfusion MRI and contrast-enhanced 3D MRA in a rabbit model. Korean J Radiol. 10:447–454. 2009. View Article : Google Scholar : PubMed/NCBI | |
Sheh SH, Bellin E, Freeman KD and Haramati LB: Pulmonary embolism diagnosis and mortality with pulmonary CT angiography versus ventilation-perfusion scintigraphy: evidence of overdiagnosis with CT? AJR Am J Roentgenol. 198:1340–1345. 2012. View Article : Google Scholar : PubMed/NCBI | |
Stein PD, Fowler SE, Goodman LR, Gottschalk A, Hales CA, Hull RD, Leeper KV Jr, Popovich J Jr, Quinn DA, Sos TA, et al: PIOPED II Investigators: Multidetector computed tomography for acute pulmonary embolism. N Engl J Med. 354:2317–2327. 2006. View Article : Google Scholar : PubMed/NCBI | |
Adams DM, Stevens SM, Woller SC, Evans RS, Lloyd JF, Snow GL, Allen TL, Bledsoe JR, Brown LM, Blagev DP, et al: Adherence to PIOPED II investigators' recommendations for computed tomography pulmonary angiography. Am J Med. 126:36–42. 2013. View Article : Google Scholar : PubMed/NCBI | |
Ranji SR, Shojania KG, Trowbridge RL and Auerbach AD: Impact of reliance on CT pulmonary angiography on diagnosis of pulmonary embolism: a Bayesian analysis. J Hosp Med. 1:81–87. 2006. View Article : Google Scholar : PubMed/NCBI | |
Ghanima W, Nielssen BE, Holmen LO, Witwit A, Al-Ashtari A and Sandset PM: Multidetector computed tomography (MDCT) in the diagnosis of pulmonary embolism: interobserver agreement among radiologists with varied levels of experience. Acta Radiol. 48:165–170. 2007. View Article : Google Scholar : PubMed/NCBI | |
Pena E, Kimpton M, Dennie C, Peterson RLE, Gal G and Carrier M: Difference in interpretation of computed tomography pulmonary angiography diagnosis of subsegmental thrombosis in patients with suspected pulmonary embolism. J Thromb Haemost. 10:496–498. 2012. View Article : Google Scholar : PubMed/NCBI | |
Costa AF, Basseri H, Sheikh A, Stiell I and Dennie C: The yield of CT pulmonary angiograms to exclude acute pulmonary embolism. Emerg Radiol. 21:133–141. 2014. View Article : Google Scholar : PubMed/NCBI |