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Dept of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, Canada
CORRESPONDENCE: N.L. Müller, Dept of Radiology, Vancouver General Hospital, University of British Columbia, 855 West 12th Ave, Vancouver, BC, V5Z 1M9, Canada. Fax: 60 48754319. E-mail: nmuller@vanhosp.bc.ca
Keywords: chronic obstructive pulmonary diseases, computed tomography, interstitial lung disease, lung computed tomography, magnetic resonance imaging, pulmonary embolism
Received: May 29, 2001
Accepted May 30, 2001
| Abstract |
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The main developments of CT in the chest have been the introduction of high-resolution CT (HRCT), spiral CT and, more recently, multidetector spiral CT.
HRCT is defined as thin-section CT (1- to 2-mm collimation scans), optimized by using a high-spatial resolution (edge-enhancing) algorithm. Several studies have shown that HRCT closely reflects macroscopic (gross) pathological findings. HRCT currently has the best sensitivity and specificity of any imaging method used for the assessment of focal and diffuse lung diseases.
The advent of spiral CT and, more recently, multidetector CT scanners, has allowed for major improvements in the imaging of airways, pulmonary and systemic vessels, and lung nodules. Spiral CT facilitates multiplanar and three-dimensional display of structures and visualization of pulmonary and systemic vessels, with a level of detail that is comparable to that of conventional angiography. With the use of graphics-based software programs, spiral CT enables depiction of the luminal surface of the airways with images that resemble those of bronchoscopy (virtual bronchoscopy) or bronchography (virtual bronchography). Several studies have shown a high sensitivity and specificity for spiral CT in the diagnosis of acute pulmonary embolism. Therefore, spiral CT is rapidly becoming the imaging modality of choice in the diagnosis of pulmonary embolism.
Like the radiograph, signal intensity on computed tomography is mainly due to a single parameter: electron density. The signal intensity of the magnetic resonance image depends on four parameters: nuclear density, two relaxation times called T1 and T2, and motion of the nuclei within the imaged lung volume. Abnormal soft tissue can be identified more easily through measurement of these four parameters than through use of computed tomography. Furthermore, because the spatial orientation of the image is determined by manipulation of magnetic fields, scans can be performed in any plane. The main indications for magnetic resonance in the chest have been in the evaluation of the heart, major vessels, mediastinum, and hilar structures because of the natural contrast provided by flowing blood. Of particular interest for the respirologist has been the recent development of magnetic resonance angiography. This technique consists of three-dimensional single breath-hold images obtained using gadolinium-based contrast agents. This is a promising technique for the diagnosis of acute and chronic pulmonary embolism.
For many years, the plain chest radiograph was the only imaging modality used in the diagnosis of lung disease. With the advent of computed tomography (CT) came the first opportunity to assess gross lung structure. Conventional 8- to 10-mm collimation scans allowed better assessment of the lung parenchyma than was previously possible. However, CT only played a minor role in the diagnosis of interstitial and airway disease until the introduction of high-resolution images in 1985. High-resolution CT (HRCT) has allowed major developments in understanding of the pathology and pathophysiology of diffuse lung diseases to take place. HRCT currently has the best sensitivity and specificity of any imaging method for the assessment of focal and diffuse lung diseases. The advent of spiral CT and, more recently, multidetector CT scanners has allowed for major improvements in the imaging of airways, pulmonary and systemic vessels, and lung nodules. Spiral CT facilitates multiplanar and three-dimensional (3D) display of structures and visualization of pulmonary and systemic vessels, with a level of detail comparable to that of conventional angiography. Through use of graphics-based software programs, spiral CT facilitates depiction of the luminal surface of the airways with images that resemble those of bronchoscopy (virtual bronchoscopy) or bronchography (virtual bronchography).
Although CT provides superb morphological detail, it has limited contrast resolution and is therefore unable to distinguish tumour from inflammation or fibrosis. Magnetic resonance imaging (MRI) provides greater contrast resolution than CT. As a result, in many centres MRI has replaced CT in the assessment of the central nervous system and musculoskeletal abnormalities. MRI of the lungs has been limited by a low signal-to-noise ratio and by degradation of the image by motion artifacts. Recent studies, however, have suggested a potential role for MRI in lung disease.
The aims of this paper are to summarize some of the main current recommendations for the use of CT and MRI, highlight areas of controversy that require further study, and suggest some possible future developments.
| Computed tomography |
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High-resolution computed tomography
A number of studies have shown that CT can play a major role in the assessment of patients who have diffuse lung disease. By eliminating superimposition of structures, CT allows for a better assessment of the type, distribution, and severity of parenchymal abnormalities than is possible with chest radiographs. It demonstrates both the normal and abnormal parenchyma down to the level of the secondary pulmonary lobules. Optimal assessment of parenchymal detail and small airways requires the use of HRCT. HRCT is defined as thin-section CT (1- to 2-mm collimation scans) optimized by using a high-spatial resolution (edge-enhancing) algorithm. Several studies have shown that high-resolution CT closely reflects the macroscopic (gross) pathological findings 1, 2. Many parenchymal diseases preferentially affecting certain anatomical compartments can be visualized at low-power microscopic evaluation 13. These include diseases that are primarily broncho- or bronchiolocentric, angiocentric, perilymphatic, septal, diffuse interstitial and other distributions of disease that are also recognizable on HRCT 13. By demonstrating the pattern and distribution of these abnormalities, HRCT often allows for a confident diagnosis to be made 46.
The clinical utility of HRCT can be assessed in terms of its sensitivity and specificity in the diagnosis of parenchymal and airway disease and its accuracy in the differential diagnosis of acute and chronic lung diseases.
Sensitivity and specificity of high-resolution computed tomography in the diagnosis of diffuse lung disease
Although the chest radiograph remains the first imaging modality used in the assessment of patients with suspected diffuse lung diseases, the radiograph is normal in 1015% of patients with proven interstitial lung disease 7, 8. Another limitation of chest radiographs is their relatively low specificity. Between 1020% of patients interpreted as having diffuse parenchymal abnormalities on the radiograph have normal biopsy 6, 8. Several studies have shown that HRCT has greater sensitivity and specificity than the radiograph in the detection of diffuse lung disease 911. Based on the data published in the literature, Padley et al. 6 concluded that in the detection of infiltrative lung disease, HRCT has a sensitivity of
94% and a specificity of 96%, while the radiograph has a sensitivity of 80% and a specificity of 82%. Based on these results, HRCT is indicated in patients with suspected diffuse infiltrative lung disease who have normal or questionable radiographic findings.
Diagnosis of bronchiectasis
HRCT is currently the imaging modality of choice for the diagnosis of bronchiectasis. In a study of 44 lungs in 36 patients, Grenier et al. 12 demonstrated that compared to bronchography, HRCT had a sensitivity of 97% and a specificity of 93% in the diagnosis of bronchiectasis. Young et al. 13 assessed the diagnostic accuracy of HRCT compared to bronchography in 259 segmental bronchi from 70 lobes of 27 lungs. Bronchiectasis was correctly identified on HRCT in 8789 segmental bronchi (sensitivity 97%) and excluded in 169170 segmental bronchi (specificity 99%).
Accuracy in the differential diagnosis of chronic infiltrative lung diseases
It is often difficult to accurately characterize the abnormalities on chest radiographs because of the superimposition of structures and relatively low contrast resolution.
In an evaluation of 365 patients who had open-lung biopsy, which confirmed chronic infiltrative lung disease (CILD), McLoud et al. 14 found that their first two diagnostic choices corresponded to the histological diagnosis in only 50% of patients. Furthermore, there was only 70% interobserver agreement as to the predominant type of parenchymal abnormality or its extent.
Mathieson et al. 4 compared the accuracy of conventional and HRCT with that of chest radiographs in making specific diagnoses in 118 consecutive patients who had chronic diffuse lung disease. The CT scans and radiographs were reviewed independently by three observers who listed their most likely diagnoses and their degree of confidence in these diagnoses. A confident diagnosis was reached more than twice as often with CT and HRCT than with chest radiographs (49% and 23%, respectively). More importantly, a correct diagnosis was made in 93% of the first-choice CT interpretations, as compared to 77% of the first-choice plain film interpretations (p<0.001).
Grenier et al. 5 confirmed the superior diagnostic accuracy of HRCT compared to radiographs in a study using HRCT with 1-mm images obtained every 10 mm. The authors retrospectively evaluated 140 patients with CILD. Three independent observers made a correct first-choice diagnosis with radiographs in 64% of cases versus 76% with HRCT, regardless of the confidence level. When a confident first-choice diagnosis was made (defined as a >75% chance of being correct), HRCT proved accurate in 53% of cases, compared to 27% for chest radiographs (p<0.001).
In a subsequent study, Grenier et al. 15 assessed the relative value of clinical data, chest radiographs, and HRCT scans in a retrospective analysis of 208 patients with CILD. A correct diagnosis was made based on clinical data alone in 29% of cases, radiography alone in 9%, and HRCT in 36%. This increased to 54% when clinical and radiographical findings were combined and 80% when all these were analysed together (p<0.01).
Accuracy in the differential diagnosis of acute lung disease
HRCT findings may also be of value in the diagnosis of acute lung disease in patients with acquired immune deficiency syndrome (AIDS) and immunocompromised non-AIDS patients. In a study of patients who had AIDS and acute lung disease, Hartman et al. 16 found that use of HRCT provided a correct first-choice diagnosis in 66% of the cases, regardless of the degree of confidence. A confident diagnosis was made in 48% of all cases and the observers were correct in 92% of those cases. The interpretations of CT scans were most often accurate in the confident diagnosis of Pneumocystis carinii pneumonia (94%) and Kaposi's sarcoma (90%). Kang et al. 17 compared CT to chest radiography in 89 patients who had a single proved thoracic complication. Two observers were confident in their first-choice diagnoses in 61 of 178 (34%) interpretations using chest radiographs and in 83 of 178 (47%) interpretations using CT. The diagnosis was correct in 67% (41 of 61) of confident radiographical interpretations, compared to 87% (72 of 83) of interpretations at CT (p<0.01) 17.
CT has also been found to be superior to chest radiography in the differential diagnosis of acute pulmonary complications in immunocompromised non-AIDS patients 18. In a study comparing CT and radiography's ability to detect and diagnose acute pulmonary complications in this group, the CT scans and radiographs of 45 immunocompromised non-AIDS patients who had proven pulmonary disease and 20 normal controls were independently assessed by two observers who had no knowledge of clinical or pathological data 18. The sensitivity and specificity of the detection of pulmonary complications were 100% and 98%, respectively, for CT, compared to 98% and 93%, respectively, for chest radiography. In the immunocompromised patients, the first-choice diagnosis was correct in 44% of CT scans and 30% of radiograph readings (p<0.01). Confidence level one (definite) was reached in 33% of CT scans and 10% of chest radiographs (p<0.001). Diseases with a dominant nodular pattern had a higher occurrence of correct first-choice diagnoses (62% versus 34%; p<0.02) and level one confidence ratings (53% versus 13%; p<0.001) than diseases with ground-glass opacity, consolidation, or irregular linear opacities 18.
HRCT can also be helpful in the differential diagnosis of acute parenchymal disease in immunocompetent patients. In a study of HRCT findings in 90 patients who had acute parenchymal diseases assessed without the benefit of clinical history, Tomiyama et al. 19 showed that two independent observers were 90% accurate in classifying diseases as infectious or noninfectious, although the types of infections studied were limited. Furthermore, the observers made a correct first-choice diagnosis in an average of 55 of 90 (61%) cases. This included 50% of cases with bacterial pneumonia, 62% with Mycoplasma pneumonia, 90% with acute interstitial pneumonitis, 72% with hypersensitivity pneumonitis (HP), 30% with acute eosinophilic pneumonia, and 28% with pulmonary haemorrhage.
Assessment of small airway disease
The term small airways disease is considered to be synonymous with bronchiolar disease. In many patients with bronchiolitis, a specific diagnosis can be suggested based on clinical history and the pattern and distribution of abnormalities on HRCT. The main abnormalities on HRCT consist of a tree-in-bud pattern, poorly defined centrilobular nodules and areas of decreased attenuation and air trapping 20.
The tree-in-bud pattern consists of well-defined centrilobular nodular and branching linear opacities, creating the appearance of a tree in bud 21, 22. This pattern reflects the presence of either dilated bronchioles, filled with mucus or secretions, or bronchiolocentric nodules. In the vast majority of cases, a tree-in-bud pattern is due to acute or chronic infection, most commonly endobronchial spread of tuberculosis or viral or mycoplasma infection 21, 22. Aquino et al. 21 identified a tree-in-bud pattern in 25% of patients who had bronchiectasis and had undergone HRCT (including patients with cystic fibrosis and allergic bronchopulmonary aspergillosis) and 17% of patients who had acute infectious bronchitis or pneumonia. This pattern was not identified in 141 HRCT studies of patients with noninfectious airway diseases, including emphysema, respiratory bronchiolitis (RB), constrictive bronchiolitis, bronchiolitis obliterans organizing pneumonia, and HP. Therefore, the presence of the tree-in-bud pattern is highly suggestive of an infectious cause of disease.
In the absence of intraluminal secretions, poorly defined centrilobular nodules usually indicate the presence of peribronchiolar inflammation. The most common causes of the bilateral symmetric centrilobular nodular pattern are HP, RB, and respiratory bronchiolitis-interstitial lung disease 23, 24.
Areas of decreased attenuation and air trapping indicate the presence of partial airway obstruction. Common causes include obliterative bronchiolitis and asthma 25, 26. The presence of air trapping on expiratory HRCT is the most indicative finding in the diagnosis of obliterative bronchiolitis 26, 27. In a study by Leung et al. 26, air trapping was found in 10 of 11 patients who had biopsy-diagnosed bronchiolitis obliterans (BO), compared to two of 10 patients who did not have biopsy-diagnosed BO or pulmonary function test (PFT) abnormalities 26. Thus, air trapping was found to have a sensitivity of 91%, a specificity of 80%, and an accuracy of 86% for diagnosing BO. However, patients with BO in this study already had established disease. The mean time from lung transplantation to CT in the study was 4.8 yrs and the mean duration of a known diagnosis of BO was 1.3 yrs.
In a study by Lee et al. 28, HRCT, including expiratory scans, was reviewed in consecutive normal lung transplant patients and patients first diagnosed as having BO or BO syndrome (BOS). The frequency of significant air trapping in patients who had BO or BOS was significantly higher than in patients who had a normal biopsy and PFTs. However, the sensitivity of significant air trapping on expiratory CT was only 74%; its specificity was 67% and its accuracy 71%.
Bankier et al. 29 assessed the usefulness of evaluating air trapping on expiratory HRCT in the diagnosis of BOS. They performed 111 combined inspiratory and expiratory HRCT examinations in eight healthy control subjects and 38 heart-lung transplant recipients. The extent of air trapping increased with BOS severity (p=0.001). They found that a threshold of 32% of air trapping was optimal for distinguishing between patients with and without BOS, and provided a sensitivity of 83%, a specificity of 89%, and an accuracy of 88%. The prevalence of BOS and positive predictive value of air trapping increased with postoperative time, but the negative predictive value of air trapping remained high throughout the study. Bankier et al. 29 concluded that at a threshold of 32%, air trapping is sensitive, specific, and accurate for diagnosing BOS, and that patients with air trapping below 32% are unlikely to have BOS 29.
Spiral computed tomography
Technique
A conventional CT scan of the chest consists of a series of cross-sectional slices obtained during suspended respiration. After each slice is obtained, the patient is allowed to breathe while the table is moved to the next scanning position. This method is known as incremental CT scanning. Although each image can be obtained in
1 s, there is a delay of 510 s between the recording of images.
Spiral (helical) CT is an important technical advance, which allows continuous scanning while the patient is moved through the CT gantry, so that the X-ray beam traces a helical or spiral curve in relation to the patient. Cross-sectional images can be reconstructed after the data specific to each plane of section has been estimated. This mathematical calculation is performed by interpolation of the spiral data above and below each plane of section.
Spiral CT scanners obtain high quality data through the entire volume of the chest. They therefore produce multiplanar reformations of the images and 3D image rendering. Multiplanar reformations are two-dimensional (2D) displays of any arbitrary plane in the imaged volume (fig. 1
), which allow for better appreciation of the spatial relationships of various structures than a series of individual cross-sectional images. The most commonly used reformations are in the sagittal and coronal planes, although oblique and curved planar reconstructions are also possible. It has been shown that, compared to cross-sectional images, 2D reformations improve diagnostic accuracy when interpreting CT angiograms of pulmonary embolism (PE) 30. This study showed improved detection of clot burden in cases of proven PE and more confident exclusion of clot in cases without PE.
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Use of graphics-based software systems and volume-rendering techniques allows depiction of the luminal surface of the airways, which resemble images seen by bronchography or during bronchoscopy 31, 32. The CT technique that depicts the interior of the trachea and bronchi in a manner that resembles conventional bronchography is known as CT tracheobronchography. The technique that provides luminal surface views from the virtual environment of the CT database, which resemble those of bronchoscopy, is known as virtual bronchoscopy or, preferably, CT bronchoscopy.
Multidetector spiral computed tomography
The first four channel multidetector CT scanners were introduced in the late 1990s. The four rows can be used to give maximum spatial resolution or detector rows can be combined, decreasing spatial resolution but increasing the volume of tissue scanned per unit of time. As well as improvements in the detector array, the rotational velocity of the gantry was increased from 1 s in single section spiral CT scanners to 0.5 s in the fastest multidetector spiral CT scanners. The combination of four read-out channels and twice the rotational speed increased the scanning speed to eight times higher than that of single section spiral CT equipment. These improvements in data-acquisition speed can be used in CT angiography to increase the volume scanned or to scan the same volume using thinner sections. The use of thinner sections decreases volume averaging and allows visualization of smaller vessels. It has been shown that four row multisection CT scanners can routinely identify subsegmental pulmonary artery segments 34, 35. Faster gantry rotation time decreases the effect of cardiac motion on noncardiac-gated acquisitions. In addition, the combination of faster gantry rotation time, simultaneous acquisition of the patient's electrocardiogram and specialized reconstruction techniques can provide almost motion-free images during cardiac systole or diastole 36. Cardiac-gated images should facilitate the calculation of cardiac volumes and ejection fraction using CT.
The first eight channel multidetector CT scanners were announced in November 2001.
Spiral computed tomography in pulmonary embolism
Several studies have shown a high sensitivity and specificity for spiral CT in the diagnosis of PE 3739. In an increasing number of centres, spiral CT has become the imaging modality of choice in the diagnosis of PE. Characteristic findings of acute PE on spiral CT consist of partial central or marginal filling defects surrounded by a thin rim of contrast material or complete filling defect with obstruction of an entire vessel section.
Diagnostic accuracy of spiral computed tomography
The reported diagnostic accuracy of spiral CT has varied depending on the technique used, the patient population, and whether the authors limited the analysis of the central pulmonary arteries to the level of the segmental vessels or included subsegmental arteries. Overall, studies have shown a spiral CT sensitivity of 90%, a specificity of 90%, a positive predictive value of 93% and a negative predictive value of 94% for emboli, down to and including the level of the segmental pulmonary arteries 40. Studies comparing spiral CT with ventilation/perfusion scintigraphy consistently demonstrated that spiral CT had a greater diagnostic accuracy 37, 39, 41. In addition, these studies consistently showed better interobserver agreement in the interpretation of spiral CT images than ventilation/perfusion scans. It has also been shown that patients who have a negative spiral CT and are not anticoagulated are unlikely to have evidence of PE on clinical follow-up 42, 43. One group of investigators assessed patient outcome after a clinical follow-up of a minimum of 6 months, in 78 consecutive patients in whom spiral CT scans were interpreted as negative for pulmonary thromboembolism (PTE) and anticoagulant therapy was not administered 42. Nine patients died, one of whom was shown to have a 1- to 2-mm embolus at autopsy performed 7 days after CT scan, which may have been missed on spiral CT and angiography. No evidence of PTE was found in any of the other 77 patients. The negative predictive value for spiral CT was 99% in this study 42.
| Magnetic resonance imaging |
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The intensity of the MR image depends on four parameters: nuclear density, two relaxation times, called T1 and T2, and motion of the nuclei within the imaged lung volume. As the nuclear density increases, increasing numbers of nuclei align with the magnetic field, producing a more intense MR signal. The T1 relaxation time is a time constant in which the nuclei align in a given magnetic field or the magnetic vector along the direction of the applied field is re-established after a perturbation. T2 is the time constant for loss of phase coherence of excited spins. Signal is also influenced by motion, e.g. blood flow. Abnormal soft tissue can be better differentiated through measurement of these four parameters than through any other previous technique. In addition, scans can be performed in any plane, because the spatial orientation of the image is determined by manipulation of magnetic fields. As a result, MRI has become the best imaging method for the evaluation of neurological and musculoskeletal structures. It has also been used in the chest to evaluate the heart, major vessels, mediastinum and hilar structures because of the natural contrast provided by flowing blood.
Clinical application of MRI in the assessment of the lung parenchyma has been inhibited by physiological motion, which severely reduces image quality. Accordingly, as with early CT scanning, the clinical application of MRI in the thorax came much later than its use in other regions of the body.
Currently, the main indications for MRI in the chest are for evaluation of the heart and great vessels, the mediastinum and hila, and the chest wall. Of particular interest to respirologists has been the recent development of MR angiography. This technique consists of 3D single breath-hold images obtained using gadolinium-based contrast agents. Depending on the technique used, blood has a high (white blood angiography) or low signal intensity (black blood angiography) on MR angiography. White blood angiography is ideal for the depiction of flowing blood or pulmonary emboli, while black blood angiography is ideal for the depiction of the vessel wall.
Evaluation of the heart and great vessels
MRI has a well-established role in the assessment of congenital abnormalities of the heart and great vessels. It is superior to echocardiography in the assessment of adult congenital heart disease because it permits unobstructed views of all atrial, ventricular, and great vessel abnormalities 47, 48. However, it is usually reserved for patients who have nondiagnostic or equivocal findings on echocardiography 48. MR also allows excellent evaluation of central pulmonary artery abnormalities. Cine gradient-echo sequences permit assessment of cardiac wall motion and can detect high velocity jets related to ventricular septal defects, valvular regurgitation, or focal stenoses 47, 49. Velocity-encoded cine sequences can be used to calculate blood flow 50.
Although comparable to conventional CT in the assessment of aortic aneurysms and aortic dissection, MRI has been shown to be inferior to spiral CT 51. In one study, in which spiral CT, multiplanar transoesophageal echocardiography and MRI were compared, all three techniques were found to have 100% sensitivity in the detection of thoracic aortic dissection, but spiral CT had a higher specificity 51.
Evaluation of the mediastinum and hila
Currently, MRI is the secondary imaging modality in the evaluation of the mediastinum and hila, and is mainly used as a problem-solving technique in cases in which CT findings are equivocal. MRI has been shown to be superior to CT in the assessment of mediastinal and vascular invasion in patients who have pulmonary carcinoma 52. It can also be helpful in the diagnosis of bronchogenic cysts in cases where CT findings are not diagnostic. These lesions characteristically show a homogeneous high signal intensity on T2-weighted MR images as a result of their fluid content (fig. 2
) 53.
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Evaluation of pulmonary embolism
As with CT, MRI allows direct visualization of pulmonary emboli. It has the additional advantage of not requiring radiation or the use of iodinated intravenous contrast, but is more expensive and less readily available. Other disadvantages of MRI include cardiac and respiratory motion artifacts and complex pulmonary blood flow patterns that may mimic embolism. These problems have been minimized through the development of gradient-recalled echo (GRE) imaging techniques obtained during a single breath hold. The combination of these techniques with gadolinium enhancement results in good quality MR angiographic images of the pulmonary arteries.
The potential usefulness of MR has been shown by several investigators. In one study of 30 consecutive patients who had suspected PTE, MR angiography was performed during the pulmonary arterial phase of an intravenous bolus of gadolinium 59. The procedure was carried out using a coronal 3D gradient-echo pulse sequence with a slice thickness of 34 mm and an imaging time of 27 s. The images were reviewed by three independent observers and the results compared to those of standard pulmonary angiography. All five lobar emboli and 16 of 17 segmental emboli identified on conventional pulmonary angiography were also identified on MR angiography. Two of the three observers reported one false-positive MR angiogram. Using conventional angiography as the gold standard, the three observers had diagnostic sensitivities of 100, 87, and 75% and specificities of 95, 100, and 95%, respectively.
In a second investigation of 36 consecutive patients, MR angiography was performed during suspended respiration and the pulmonary arterial phase of a gadolinium-based contrast medium injection using a steady-state GRE sequence 60. The standard MR images and coronal MIP images were reviewed on a computer workstation. Using digital subtraction angiography as the gold standard, PTE was correctly identified on MRI in 11 of 13 patients (85% sensitivity) and excluded in 22 of 23 patients (96% specificity). Both cases of false-negative interpretation were in patients who had only small subsegmental emboli.
Lung parenchyma
Experimental studies have suggested that MRI can be used to quantitate lung water content 61, 62. Using animal models, close agreement has been shown between MRI signal intensities and gravimetrically determined lung wet-to-dry weight ratios. Although determination of absolute lung water content has proven difficult in vivo, measurements of relative lung water changes have been shown to be proportional to true lung water content and may prove to be a sensitive method for following the course of lung injury 63.
Mayo et al. 62 demonstrated that lung water and pleural pressure gradients can be assessed using MR. They imaged five normal volunteers in the supine and prone positions during quiet breathing and in the supine position at total lung capacity (TLC), using a cardiac-gated multi-echo pulse sequence with echo spacing of 20 ms from TE20 to 240 ms on a Picker 0.15 T MR imager (Picker Industries, Cleveland, Ohio, USA). After validating the technique, they demonstrated that there was no significant difference in average lung density in the prone (0.21±0.03 g·mL1) and supine (0.20±0.03 g·mL1) positions. Lung density decreased at TLC (0.12±0.01 g·mL1; p<0.01). Gradients in lung density were visible in all prone and supine scans at functional residual capacity and, on average, the gradients decreased by 90% at TLC.
Müller et al. 64 compared the value of MRI to HRCT in the assessment of chronic infiltrative lung disease in 25 patients. All patients had cardiac-gated spin-echo MRI and 1.5 mm collimation HRCT. HRCT was considerably better than MRI in the anatomic assessment of the lung parenchyma and in demonstrating fibrosis. However, areas of airspace opacification (ground-glass attenuation and parenchymal consolidation) were equally well seen on MR as on HRCT. Open lung biopsy demonstrated that the areas of airspace opacification seen on MRI and HRCT corresponded to areas of active alveolitis or airspace infiltrates. Follow-up demonstrated similar degrees of change in the airspace opacification over time on MRI and CT. The authors concluded that whereas MRI was considerably inferior to HRCT in the initial assessment of patients with chronic infiltrative lung disease, it may potentially play a role in the assessment and follow-up of patients with predominantly airspace opacification.
Primack et al. 65 compared the MRI with the pathological findings in 22 consecutive patients with chronic infiltrative lung disease. They demonstrated that the MRI findings correlated closely with the macroscopic findings on open lung biopsy. Evidence of parenchymal opacification was seen on MRI in 14 patients, nine were interpreted as being equivalent to ground-glass intensity and five to consolidation. In 12 of the 14 patients the parenchymal opacification represented an active inflammatory process including alveolitis, pneumonia, and granulomatous infection, whereas in two patients it represented fibrosis. As the authors pointed out, a major limitation of MR in the assessment of infiltrative lung disease is the low spatial resolution compared to HRCT. Therefore, MR is not recommended in the routine assessment of patients with infiltrative lung disease. It may be used as an alternative imaging modality in patients who express concern about radiation exposure or in young patients who are repeatedly scanned for assessment of response to treatment or disease progression 65.
Recent developments in chest magnetic resonance imaging
Several recent developments promise to revolutionize the evaluation of parenchymal, airway, pulmonary vascular and chest wall abnormalities with MRI. These include breath-hold MRI, MR fluoroscopy, velocity encoded MR and hyperpolarized 3He-enhanced MRI 6670.
Velocity-encoded MRI allows accurate and direct measurement of the stroke volume of the right and left ventricles, pulmonary blood flow and pulmonary vascular resistance 69. This technique may aid understanding of the pathophysiological changes within the pulmonary circulation in patients with pulmonary parenchymal disease or pulmonary vascular abnormalities.
Hyperpolarized 3He-enhanced MRI allows assessment of regional ventilation 70. This technique may provide new insights into understanding of regional ventilation in patients with various airway abnormalities. Other gases that have been used for direct imaging of pulmonary ventilation on MRI include 129Xe, 19F, and oxygen.
Magnetic resonance's ability to provide three-dimensional reconstructions and functional quantification can be applied to the assessment of the lung parenchyma, pulmonary vessels, airways, and the chest wall. Breath-hold magnetic resonance allows measurement of lung volumes and evaluation of diaphragmatic and chest wall mechanics 66, 68.
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