Radiology
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online before print January 23, 2007, 10.1148/radiol.2423060196
This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
2423060196v1
242/3/898    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bankier, A. A.
Right arrow Articles by Gevenois, P. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bankier, A. A.
Right arrow Articles by Gevenois, P. A.
(Radiology 2007;242:898-906.)
© RSNA, 2007


Thoracic Imaging

Air Trapping: Comparison of Standard-Dose and Simulated Low-Dose Thin-Section CT Techniques1

Alexander A. Bankier, MD, Cornelia Schaefer-Prokop, MD, Viviane De Maertelaer, PhD, Denis Tack, MD, PhD, Peter Jaksch, MD, Walter Klepetko, MD and Pierre Alain Gevenois, MD, PhD

1 From the Department of Radiology (A.A.B.) and Department of Cardio-Thoracic Surgery, Lung Transplantation Unit (P.J., W.K.), Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria; Department of Radiology, University of Amsterdam, Amsterdam, the Netherlands (C.S.); Statistical Unit, Institute of Interdisciplinary Research in Human and Molecular Biology (V.D.M.), and Department of Radiology, University Erasme Hospital (P.A.G.), Université Libre de Bruxelles, Brussels, Belgium; and Department of Radiology, RHMS Clinic Louis Caty, Baudour, Belgium (D.T.). Received February 1, 2006; revision requested March 29; revision received April 6; final version accepted June 1. Address correspondence to A.A.B. (e-mail: alexander.bankier{at}meduniwien.ac.at).


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 ADVANCE IN KNOWLEDGE
 References
 
Purpose: To prospectively investigate the effect of radiation dose reduction on the visual quantification of air trapping at expiratory thin-section computed tomography (CT).

Materials and Methods: In this ethical committee–approved study, 27 lung transplant recipients (12 women, 15 men; mean age, 54 years ± 2 [standard error of the mean]) underwent expiratory thin-section CT at 140 kVp and 80 mAs (effective). All patients gave written informed consent. Dose reduction corresponding to 60, 40, and 20 mAs (effective) was simulated. The extent of air trapping in both original and dose-reduced studies was scored by three independent readers. The effects of tube current–time product, reader, reading session, and body mass index on average air trapping scores were assessed with analysis of variance. Agreements between and within observers were assessed with a weighted {kappa} statistic. Subjective scores for diagnostic confidence were attributed (3 = high, 2 = medium, 1 = low), and their means were calculated for each tube current–time product value.

Results: No significant effect on average air trapping scores as a result of tube current–time product (P = .222), reader (P = .217), reading session (P = .705), or body mass index (P = .505) could be detected. At 80 mAs, agreement between readers was excellent; agreement decreased to good or moderate at lower tube current settings. Agreement within readers decreased with a decrease in dose but remained good even at 20 mAs. Confidence also decreased, with mean scores decreasing from 2.33 ± 0.73 (standard deviation) to 1.04 ± 0.19 when dose decreased.

Conclusion: At 140 kVp, the tube current–time product can be reduced from 80 to 20 mAs without impairing the visual quantification of air trapping at expiratory thin-section CT and with acceptable decreases in agreement between and within readers and in reader confidence.

© RSNA, 2007


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 ADVANCE IN KNOWLEDGE
 References
 
Bronchiolitis occurs in common pulmonary diseases such as infection, hypersensitivity pneumonitis, connective tissue disorders, inhalational injury, bronchiectasis, and sarcoidosis. It is also associated with inflammatory bowel disease, drug reactions, and bronchiolitis obliterans, either in its idiopathic form or as a manifestation of chronic rejection after bone marrow or lung transplantation (1,2). The clinical diagnosis of bronchiolitis is primarily based on patient history and pulmonary function test results. Expiratory thin-section computed tomography (CT), however, can depict air trapping before functional tests indicate disease, giving this technique an essential part to play in the diagnosis of bronchiolitis (2,3).

Expiratory thin-section CT does expose patients to additional radiation, and multi–detector row technology can further increase the delivered dose by up to 300% (4). This is of special concern in patients with bronchiolitis because they are often young and—despite their relatively favorable prognosis—have a high risk of recurrence, resulting in repeated follow-up examinations and repeated exposure to CT radiation (1,2,5).

Results of previous studies have shown that a reduced radiation dose for CT examinations can be used when looking for abnormalities that present a high contrast to normal lung areas, such as pulmonary nodules or consolidations (612). However, when abnormalities present low contrast, as is the case with air trapping, the effect of dose reduction is not known. The purpose of our study, therefore, was to prospectively investigate the effect of radiation dose reduction on the visual quantification of air trapping at expiratory thin-section CT.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 ADVANCE IN KNOWLEDGE
 References
 
Patients
Between January 2004 and May 2004, we prospectively evaluated 27 consecutive lung transplant recipients at the occasion of their biannual routine follow-up CT examination. This CT examination is part of a clinical program devoted to the early detection of bronchiolitis obliterans syndrome (BOS), which is presumed to result from chronic allograft rejection and represents the major factor limiting the long-term survival of lung transplant recipients (13,14). At the time of this study, all patients were in a clinically and functionally stable condition, and no patient had acute infection, acute allograft rejection, bronchial hyperreactivity, or asthma. Twelve of the patients were women, and 15 were men. Their mean age was 54 years ± 2 (standard error of the mean) (range, 19–72 years). The median time elapsed since lung transplantation was 18 months (range, 10–131 months). Eight patients were single lung transplant recipients. Two of these patients had received a left lung, and six had received a right lung. The remaining 19 patients were double lung transplant recipients. The body mass index (BMI) of each patient was calculated from the data available in the medical chart (15). The average BMI of our patients was 24.5 kg/m2 ± 1 (standard deviation) (range, 13.8–35.4 kg/m2). The protocol of our study was approved by the ethics committee of the Medical University of Vienna, and written informed consent was obtained from all patients. The duration of our study—and, thus, the number of patients included—was determined by the duration of the technical availability of the software used to simulate dose reduction.

Pulmonary Function Testing
Pulmonary function testing was performed within 2 and 12 hours before the CT examinations. Measurements of functional residual capacity, total lung capacity, and residual volume were obtained with the patient seated in a constant-volume body plethysmograph (Body Test; Jaeger, Würzburg, Germany). Measurements of forced vital capacity and forced expiratory volume in 1 second (FEV1) were obtained by using a spirometer (Sensormedics 2400; Sensormedics, Anaheim, Calif) according to the guidelines of the American Thoracic Society (16). Predicted values for static and dynamic lung volumes were derived from the literature (16,17).

The severity of BOS was graded according to the revised recommendations of the International Society for Heart and Lung Transplantation (18). Accordingly, a BOS score of 0 indicated an FEV1 of more than 90% of the best postoperative baseline value and a forced expiratory flow, midexpiratory phase (FEF25%–75%) of more than 75% of the postoperative baseline value (and thus indicated that BOS was not present); a BOS score of 0p (potential BOS) indicated a sustained decline in FEV1 between 81% and 90% of the best postoperative baseline value and/or a decline in FEF25%–75% less than or equal to 75% of the postoperative baseline value; a BOS score of 1 indicated a sustained decline in FEV1 to between 80% and 66% of the best postoperative value; a BOS score of 2 indicated a sustained decline in FEV1 to between 65% and 50% of the best postoperative value; and a BOS score of 3 indicated a sustained decline in FEV1 of less than 50% of the best postoperative value.

At the time our study was performed, 12 (44%) of the 27 patients had a BOS score of 0, eight (30%) had a BOS grade of 0p, four (15%) had a BOS grade of 1, two (7%) had a BOS grade of 2, and one (4%) had a BOS grade of 3.

Image Acquisition
All CT images were obtained with a commercially available multi–detector row scanner (Somatom Sensation 16/Navigator, Software VA 70C; Siemens Medical Solutions, Forchheim, Germany). The tube current was systematically set at 140 kVp and 80 mAs (effective), which is the standard tube current setting at our institution. As defined by Mahesh et al (19), effective tube current corresponds to the milliampere-second value divided by the pitch, whereby pitch is defined by Silverman et al (20) as the ratio between the table feed per rotation and the x-ray beam width. Beam collimation was 16 x 0.75 mm, and tube rotation time was 0.75 second. To avoid a potential confounding factor by software components for automated dose reduction, these components were disabled. Patients were examined in the supine position, and none received contrast material. Examinations were performed from the apex to the base of the lungs during breath holding at full suspended inspiration and full suspended expiration.

Breath holding at both lung volumes was rehearsed with each patient prior to the CT examination. After acquisition was completed, raw data were transferred for processing with Siemens Modality Store (Siemens Medical Solutions, Forchheim, Germany) to a three-dimensional multimodality workstation (Leonardo; Siemens Medical Solutions).

Image Processing
After the raw data acquired at 80 mAs (effective) were loaded, images were reconstructed with a section thickness of 1 mm and a section increment of 10 mm. The size of the image matrix was 512 x 512, and a high-spatial-resolution reconstruction algorithm (B60) was used. The display window was set at a center of –650 HU and a width of 1500 HU. The resulting image set closely resembled thin-section CT studies from the pre-multi–detector row CT era (21).

After reconstruction of the original image set, three additional image sets were reconstructed. For these additional image sets, all technical parameters were kept identical to those used for the original image set. Computer-calculated noise was superimposed on each of the three additional image sets by using the software tools of the reconstruction console. This software obviates repeated CT examinations with varying tube currents by adding noise to images acquired at a particular tube current and thereby simulating images acquired at a lower tube current (11,22). The resulting images can then be used for the systematic evaluation of radiation dose reduction (5,11,22,23). For the three sets of additional images, noise corresponding to 60, 40, and 20 mAs (effective), respectively, was added. Consequently, four CT studies per patient were available for analysis: the examination with the original tube current settings (140 kVp, 80 mAs [effective]), and three examinations with simulated dose reduction (140 kVp and 60, 40, and 20 mAs [effective]). All four CT examinations were then coded such that the patient's name and the tube current settings were not visible. For the reading sessions, the CT studies were finally transferred to a picture archiving and communication workstation that complied with the Digital Imaging and Communications in Medicine standard (Impax 4.1.SP2; Agfa Gevaert Healthcare Informatics, Waterloo, Ontario, Canada).

Image Analysis
Image analysis was performed independently by three board-certified chest radiologists who had 13 years (reader 1, A.A.B.), 20 years (reader 2, P.A.G.), and 15 years (reader 3, C.S.) of experience in interpreting thoracic CT studies. Two of the three radiologists (reader 1 and reader 2) had additional expertise in the interpretation of CT studies in lung transplant recipients and in the assessment of air trapping in this patient population. In two separate and independent sessions, each radiologist analyzed all 27 original inspiratory and expiratory CT examinations and all 81 (three times 27) electronically processed inspiratory and expiratory CT studies with simulated dose reduction. In both reading sessions, the CT studies were presented in random order. For each radiologist, the independent reading sessions were separated by a period of 7 days. The radiologists were unaware of all clinical and functional information and of all information related to the electronic processing that simulated dose reduction. Manipulation of the CT data and selection of the examinations to be reviewed was performed by a radiologic technologist not involved in image analysis. For each CT examination, all sections obtained above the level of the diaphragm were analyzed. Each section was assessed individually. In patients who had undergone single lung transplantation, only the transplanted lung was assessed. In patients who had undergone double lung transplantation, left and right lungs were not graded separately but received a common score.

CT at full suspended inspiration.—Because our study was focused exclusively on air trapping, CT images obtained at full suspended inspiration were used only for comparison with the corresponding CT images obtained at full suspended expiration. Bronchial and vascular abnormalities were not recorded. However, as detailed in the literature (24), bronchial and vascular abnormalities were used to overcome potentially confounding features of airway and vascular diseases.

CT at full suspended expiration.—Air trapping was considered to be present on the expiratory CT images when lung regions failed to increase in attenuation and/or failed to decrease in volume, when compared with the corresponding inspiratory images (1,25). The diagnosis of air trapping was based on subjective visual assessment. Objective measurements were not obtained. The scoring system used to assess the extent of air trapping was adapted from prior studies (2527). For a more subtle grading of air trapping, the number of possible scores was increased from five to six. A score of 0 was assigned if there was no abnormality; a score of 1, if less than 20% of the parenchyma in a CT section showed air trapping; a score of 2, if 20%–39% of the parenchyma showed air trapping; a score of 3, if 40%–59% of the parenchyma showed air trapping; a score of 4, if 60%–79% of the parenchyma showed air trapping; and a score of 5, if 80% or more of the parenchyma showed air trapping.

To obtain the average air trapping score for a given CT examination and for each of the three readers, the sum of scores for all CT sections from one patient was divided by the number of acquired sections for this patient. The resulting score was expressed as a percentage of the maximum possible score—that is, the score that theoretically would be obtained if all sections in a patient were given a score of 5.

Readers were also asked to score their confidence in the quantification of air trapping. Confidence was a purely subjective parameter that denoted the level of confidence that the individual reader had in his diagnosis. For quantification of subjective reader confidence, a score of 3, which indicated high confidence ("sure of the diagnosis"), a score of 2, which indicated medium confidence ("slightly unsure about the diagnosis"), or a score of 1, which indicated low confidence ("unsure of the diagnosis"), was attributed to each study by each of the three readers. On the basis of the confidence scores for the individual examinations, a mean confidence score was then calculated for each of the four predefined tube current settings.

Effective Radiation Dose
The effective dose was simulated on a personal computer by using commercially available software (CT-Expo; Medizinische Hochschule, Hannover, Germany). This software does not require phantom measurements. CT acquisition parameters, patient sex, and the scanned region, as represented on a graph of the Monte Carlo phantom model, were entered into the program. For each tube current–time product value, the program calculated effective doses by taking into account scanner parameters as reported by Nagel (28) and conversion factors as reported by Zankl et al (29,30). The calculated effective doses were expressed according to the International Committee on Radiation Protection and Measurements Publication 60 (31) recommendations.

Statistical Analysis
All statistical analyses were performed with a personal computer by using commercially available software packages (Statistica, version 5.0, StatSoft, Tulsa, Oklahoma; and SPSS, version 12.0, SPSS, Chicago, Illinois). Normally distributed data were expressed as means (±1 standard error of the mean), and skewed data were expressed as medians with 25% and 75% quartiles. The normality of the distribution of the data was evaluated by using the Kolmogorov-Smirnov test (with SPSS, version 12.0). Statistical significance for all tests was set at P < .05.

To analyze the potential effect of radiation dose—that is, the tube current–time product, the individual readers, the reading session, or the BMI of our patients—on the average air trapping scores, we used an analysis of variance with the four radiation doses, the three readers, and the two reading sessions as repeated factors, and with the BMI of our patients as a covariate. Because in routine practice images are usually read only once, the analysis of variance was restricted to data from the first reading session.

Agreement between and within observers for the four predefined tube current settings was assessed by using a weighted {kappa} statistic (32). The asymptotic standard errors and the 95% confidence intervals for the weighted {kappa} values were calculated (32,33). All {kappa} values were interpreted as recommended in the literature (32,34). A {kappa} value of 0.20 or less indicated poor agreement; a {kappa} value of 0.21–0.40, fair agreement; a {kappa} value of 0.41–0.60, moderate agreement; a {kappa} value of 0.61–0.80, good agreement; and a {kappa} value of 0.81–1.00, excellent agreement.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 ADVANCE IN KNOWLEDGE
 References
 
The expiratory thin-section CT examinations performed in our 27 patients resulted in 443 individual expiratory CT sections. The mean number of CT sections per patient was 16 (range, 11–23 sections). The total number of CT sections analyzed according to our study protocol was 3544 (443 sections times four tube current settings times two reading sessions).

The mean average air trapping scores for two reading sessions, the three readers, and the four predefined tube current settings are shown in the Table. According to results of the Kolmogorov-Smirnov test, all subgroups of average air trapping scores were normally distributed.


View this table:
[in this window]
[in a new window]

 
Mean Average Air Trapping Scores for Two Reading Sessions, Three Readers, and Four Predefined Tube Current Settings

 
Effective Radiation Dose
At the original tube current setting of 80 mAs (effective), the mean effective dose was 4.7 mSv for women and 3.8 mSv for men. At 60 mAs (effective), the mean effective dose was 3.6 mSv for women and 3.0 mSv for men. At 40 mAs (effective), the mean effective dose was 2.35 mSv for women and 1.9 mSv for men. At 20 mAs (effective), the mean effective dose was 1.2 mSv for women and 1.0 mSv for men.

Effect of Tube Current Setting, Reader, Reading Session, and BMI
Representative examples of air trapping at 80, 60, 40, and 20 mAs (effective, simulated) are shown in Figures 1 and 2. The analysis of variance did not reveal any statistically significant effect of either the four tube current settings (P = .222), the three individual readers (P = .217), the two reading sessions (P = .705), or the BMI of our patients (P = .505) on the average air trapping scores. Neither could any statistically significant effect on the average air trapping scores be detected for the combinations of tube current settings and individual readers (P = .215), individual readers and reading session (P = .373), and tube current settings and reading sessions (P = .527). Finally, the analysis of variance did not reveal any statistically significant effect on the average air trapping scores of the combinations between BMI and tube current settings (P = .250), BMI and individual readers (P = .452), and BMI and reading session (P = .761).


Figure 1
View larger version (95K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 1: Transverse expiratory CT sections in patient after bilateral single lung transplantation. Although image noise increases with a decrease in tube current, peripheral areas of air trapping in both lungs (arrows) are equally well visualized at 80 and at 20 mAs.

 

Figure 2
View larger version (66K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 2: Transverse expiratory CT sections in patient after transplantation of right lung. Peripheral areas of air trapping (arrows) are equally well seen at 80 mAs and at simulated 60, 40, and 20 mAs.

 
Agreement between and within Readers
Agreement between readers decreased with a decrease in dose (Fig 3). Only at 80 mAs was agreement between readers excellent throughout. At lower tube current settings, agreement between readers decreased to good or moderate and was also influenced by which two of the three readers were compared. At 20 mAs, agreement within readers was reduced, but remained good throughout (Fig 4).


Figure 3
View larger version (10K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 3: Graph shows agreement between readers at four predetermined tube current settings as assessed with the weighted {kappa} coefficient. Error bars indicate 95% confidence intervals. All {kappa} values were interpreted as recommended in the literature (32,34). Readers 1 and 2 had greater experience in assessment of air trapping at expiratory thin-section CT than did reader 3.

 

Figure 4
View larger version (9K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 4: Graph shows agreement within readers at four predetermined tube current settings as assessed with the weighted {kappa} coefficient. Error bars indicate 95% confidence intervals. All {kappa} values were interpreted as recommended in the literature (32,34).

 
Reader Confidence
For all three readers, the mean confidence score systematically decreased with a decrease in dose (Fig 5).


Figure 5
View larger version (7K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 5: Graph shows mean confidence scores at four predetermined tube current settings. Error bars indicate standard deviations. Score 3 corresponds to good confidence; score 2, to medium confidence; and score 1, to low confidence.

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 ADVANCE IN KNOWLEDGE
 References
 
Our study shows that a simulated dose equivalent to 25% of the standard dose (ie, 20 mAs) has no substantial effect on the visual quantification of air trapping on expiratory thin-section CT images. Indeed, no statistically significant effect of the reduced tube current–time product on the average air trapping scores could be detected. Our results also show that this lack of effect does not depend on the experience of the individual reader and is not influenced by the repetition of reading sessions, and, as a result, no learning bias becomes apparent. This is supported by the fact that no statistically significant effect of both reading sessions, the combination of the reading sessions, or the tube current–time product could be found on the average air trapping scores. Finally, the absence of a statistically significant effect of BMI and the combination of BMI and tube current–time product on the average air trapping scores suggests that our findings are valid for patients with BMIs comparable to the BMIs of the patients included in this study.

Our results also indicate that reduced tube current–time product is associated with a decrease in both agreement between and within readers and in their diagnostic confidence. As to the agreement between readers, a similar observation has previously been made for inspiratory thick-section CT (35). Our findings, based on expiratory thin-section CT, complement this observation by showing that the decrease in the agreement between readers depends not only on dose reduction but also on the experience of the individual reader. Even at reduced tube current settings, the agreement between the two readers with additional comparable experience in the assessment of air trapping was good to excellent, whereas the agreement could decrease to moderate for comparisons involving a reader without such experience. It is of note that there was a decrease in agreement between readers but little change in average scores. This suggests that as the simulated dose decreased, there was a wider spread in readings that still centered around the same mean. This could be a potential problem with use of lower dose expiratory images, in that there would be a greater chance that an individual reader would come up with a reading that is considerably high or low. On the other hand, the decrease in agreement within readers affected all three readers. Agreement within readers remained good to excellent for all three readers even at the lowest tube current–time product. This suggests that the agreement within readers is less sensitive to dose reduction than the agreement between readers. Finally, our readers' confidence systematically decreased with a reduction in radiation dose. Confidence in the diagnosis of air trapping certainly is a purely subjective parameter assessed in our study. This parameter encompasses a complex blend of factors that cannot be easily quantified. In addition to reader experience, these factors include the technical quality of the image and the visual appearance of the disease under investigation. Previous investigators (10,35) have found a correlation between a decrease in tube current–time product and a decrease in the subjective perception of image quality, and it is likely that this phenomenon also influenced the diagnostic confidence as assessed in our study. Although we did not analyze the relative contribution of each of the factors involved, our results confirm that there is a close relationship between dose reduction and diagnostic confidence.

Our study was conducted in a cohort of lung transplant recipients for two reasons. First, air trapping in lung transplant recipients occurs frequently, as a result of chronic allograft rejection, which is the most common complication in lung transplant recipients with long-term survival (26,3639). This makes air trapping in lung transplant recipients a model of the radiologic manifestation of bronchiolitis, whose characteristics can likely be expanded to bronchiolitis of other origins. Second, the follow-up of lung transplant recipients is based on the intrapatient evolution over time of predefined test parameters measured at sequential examinations and compared with a postoperative baseline value (13,18,26,39,40). Repeated follow-up CT examinations result in a cumulative radiation exposure that increases with duration of follow-up (39,41,42).

By superimposing computer-calculated noise on the original raw CT data, the simulated dose reduction might have simulated attenuation heterogeneities of the lung parenchyma. These attenuation heterogeneities may be misinterpreted as areas of air trapping at expiratory thin-section CT. Twelve of our 27 patients had a BOS score of 0, indicating that they were not susceptible to pathologic air trapping. The lack of a statistically significant effect of simulated dose reduction on the air trapping scores indicates that no relevant attenuation heterogeneities were misinterpreted as areas of air trapping.

Our study had several limitations. First, images with a low tube current–time product that is simulated by adding random noise to the raw data might not correspond exactly to images actually acquired with a low tube current–time product. In a validation trial, however, experienced chest radiologists were unable to distinguish CT images with simulated dose reduction from CT images with a truly reduced dose (11). Furthermore there is no reason to assume that expiratory multi–detector row CT would produce results any different than inspiratory incremental CT. Second, only one obese patient was included in our study. This study might, therefore, have underestimated the effect of dose reduction on the visualization of air trapping in such patients. Because the effective dose is lower in obese than in thinner patients, the need for dose reduction appears less critical in them. Third, we could not identify a minimum tube current–time product below which the visualization of air trapping is measurably and consistently compromised. This, however, does not imply that such a minimum tube current–time product does not exist. As with all other tube current–time products, the lowest value in this study was chosen arbitrarily, and one could argue that by setting the dose even lower, statistically significant effects of dose reduction on the analyzed parameter could well have appeared. On the other hand, our study was embedded in a clinical context that makes a dose reduction below 20 mAs hardly conceivable because such a reduction could deteriorate the visualization of findings other than air trapping.

Fourth, the incidence of BOS in our study population was relatively low. This could have biased our population sample toward a low incidence of pathologic air trapping. Our CT scores nevertheless showed that the air trapping scores averaged around 35% to 40%, and this amount has been considered pathologic in several previous studies (26,36,39). Fifth, all three readers in this study had relatively high levels of experience. This could make it difficult to globally translate our results to readers with substantially less experience, such as students or residents.

In conclusion, our study results show that at 140 kVp, the tube current–time product can be reduced (by simulation) from 80 to 20 mAs without impairment of the visual quantification of air trapping on expiratory thin-section CT studies and with acceptable decreases in agreements between readers, within readers, and in a reader's confidence. Because its radiation dose approximates that of incremental thin-section CT with 10-mm section intervals performed with a standard dose, expiratory low-dose multi–detector row CT can be used in the assessment of air trapping in patients with suspected bronchiolitis.


    ADVANCE IN KNOWLEDGE
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 ADVANCE IN KNOWLEDGE
 References
 


    ACKNOWLEDGMENTS
 
Our radiologic technologists, Isabella Prohaska and Gabriela Biechl, have substantially contributed to the quality of the CT examinations and to the processing of the acquired CT data. We thank them for their efforts, their patience, and their devotion to this project. We also thank Isabella von Katzler for manuscript revision.


    FOOTNOTES
 

Abbreviations: BMI = body mass index • BOS = bronchiolitis obliterans syndrome • FEF25%–75% = forced expiratory flow, midexpiratory phase • FEV1 = forced expiratory volume in 1 second

Authors stated no financial relationship to disclose.

Author contributions: Guarantors of integrity of entire study, A.A.B., V.D.M., P.A.G.; study concepts/study design or data acquisition or data analysis/interpretation, all authors; manuscript drafting or manuscript revision for important intellectual content, all authors; approval of final version of submitted manuscript, all authors; literature research, A.A.B., C.S., V.D.M., D.T., P.A.G.; clinical studies, A.A.B., C.S., V.D.M., P.J., W.K., P.A.G.; statistical analysis, A.A.B., V.D.M., P.A.G.; and manuscript editing, all authors


    References
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 ADVANCE IN KNOWLEDGE
 References
 

  1. Hansell DM, Rubens MB, Padley SP, Wells AU. Obliterative bronchiolitis: individual CT signs of small airways disease and functional correlation. Radiology 1997;203:721–726.[Abstract/Free Full Text]
  2. Hansell DM. Small airways diseases: detection and insights with computed tomography. Eur Respir J 2001;17:1294–1313.[Abstract/Free Full Text]
  3. Pipavath SJ, Lynch DA, Cool C, Brown KK, Newell JD. Radiologic and pathologic features of bronchiolitis. AJR Am J Roentgenol 2005;185:354–363.[Abstract/Free Full Text]
  4. Studler U, Gluecker T, Bongartz G, Roth J, Steinbrich W. Image quality from high-resolution CT of the lung: comparison of axial scans and of sections reconstructed from volumetric data acquired using MDCT. AJR Am J Roentgenol 2005;185:602–607.[Abstract/Free Full Text]
  5. Mayo JR, Aldrich J, Muller NL. Radiation exposure at chest CT: a statement of the Fleischner Society. Radiology 2003;228:15–21.[Abstract/Free Full Text]
  6. Takahashi M, Maguire WM, Ashtari M, et al. Low-dose spiral computed tomography of the thorax: comparison with the standard-dose technique. Invest Radiol 1998;33:68–73.[CrossRef][Medline]
  7. Itoh S, Koyama S, Ikeda M, et al. Further reduction of radiation dose in helical CT for lung cancer screening using small tube current and a newly designed filter. J Thorac Imaging 2001;16:81–88.[CrossRef][Medline]
  8. Naidich DP, Marshall CH, Gribbin C, Arams RS, McCauley DI. Low-dose CT of the lungs: preliminary observations. Radiology 1990;175:729–731.[Abstract/Free Full Text]
  9. Dinkel HP, Sonnenschein M, Hoppe H, Vock P. Low-dose multislice CT of the thorax in follow-up of malignant lymphoma and extrapulmonary primary tumors. Eur Radiol 2003;13:1241–1249.[Medline]
  10. Mayo JR, Hartman TE, Lee KS, Primack SL, Vedal S, Muller NL. CT of the chest: minimal tube current required for good image quality with the least radiation dose. AJR Am J Roentgenol 1995;164:603–607.[Abstract/Free Full Text]
  11. Mayo JR, Whittall KP, Leung AN, et al. Simulated dose reduction in conventional chest CT: validation study. Radiology 1997;202:453–457.[Abstract/Free Full Text]
  12. Prasad SR, Wittram C, Shepard JA, McLoud T, Rhea J. Standard-dose and 50%-reduced-dose chest CT: comparing the effect on image quality. AJR Am J Roentgenol 2002;179:461–465.[Abstract/Free Full Text]
  13. Estenne M, Hertz MI. Bronchiolitis obliterans after human lung transplantation. Am J Respir Crit Care Med 2002;166:440–444.[Free Full Text]
  14. Arcasoy SM, Kotloff RM. Lung transplantation. N Engl J Med 1999;340:1081–1091.[Free Full Text]
  15. World Health Organization. Obesity: preventing and managing a global epidemic. Report of a WHO consultation on obesity, June 3–5, 1997. Geneva, Switzerland: World Health Organization, 1997.
  16. Standardization of spirometry, 1994 update. American Thoracic Society. Am J Respir Crit Care Med 1995;152:1107–1136.[Medline]
  17. Quanjer PH, Tammeling GJ, Cotes JE, Pedersen OF, Peslin R, Yernault JC. Lung volumes and forced ventilatory flows. Report Working Party Standardization of Lung Function Tests, European Community for Steel and Coal. Official Statement of the European Respiratory Society. Eur Respir J Suppl 1993;16:5–40.
  18. Estenne M, Maurer JR, Boehler A, et al. Bronchiolitis obliterans syndrome 2001: an update of the diagnostic criteria. J Heart Lung Transplant 2002;21:297–310.[CrossRef][Medline]
  19. Mahesh M, Scatarige JC, Cooper J, Fishman EK. Dose and pitch relationship for a particular multislice CT scanner. AJR Am J Roentgenol 2001;177:1273–1275.[Abstract/Free Full Text]
  20. Silverman PM, Kalender WA, Hazle JD. Common terminology for single and multislice helical CT. AJR Am J Roentgenol 2001;176:1135–1136.[Free Full Text]
  21. Webb WR. High-resolution computed tomography of the lung: normal and abnormal anatomy. Semin Roentgenol 1991;26:110–117.[CrossRef][Medline]
  22. Kalra MK, Maher MM, Toth TL, et al. Strategies for CT radiation dose optimization. Radiology 2004;230:619–628.[Abstract/Free Full Text]
  23. Leidecker C, Fuchs T, Kachelriess M, Schaller S, Kalender W. Comparison of different methods for adding virtual noise to measured raw data in order to estimate the dose reduction potential for clinical protocols in CT [abstr]. Radiology 2002; 225(P):592.
  24. Worthy SA, Muller NL, Hartman TE, Swensen SJ, Padley SP, Hansell DM. Mosaic attenuation pattern on thin-section CT scans of the lung: differentiation among infiltrative lung, airway, and vascular diseases as a cause. Radiology 1997;205:465–470.[Abstract/Free Full Text]
  25. Arakawa H, Webb WR. Air trapping on expiratory high-resolution CT scans in the absence of inspiratory scan abnormalities: correlation with pulmonary function tests and differential diagnosis. AJR Am J Roentgenol 1998;170:1349–1353.[Abstract/Free Full Text]
  26. Leung AN, Fisher K, Valentine V, et al. Bronchiolitis obliterans after lung transplantation: detection using expiratory HRCT. Chest 1998;113:365–370.
  27. Webb WR, Stern EJ, Kanth N, Gamsu G. Dynamic pulmonary CT: findings in healthy adult men. Radiology 1993;186:117–124.[Abstract/Free Full Text]
  28. Nagel HD. Radiation exposure in computed tomography: fundamentals, influencing parameters, dose assessment, optimisation, scanner data, terminology. Frankfurt, Germany: European Coordination Committee of the Radiological, Electromedical and Healthcare IT Industry, 2000; 69–72.
  29. Zankl M, Panzer W, Drexler G. Tomographic anthropomorphic models. II. Organ doses from computed tomographic examinations. In: GSF report no. 30/93. Oberschleissheim, Germany: GSF-Forschungszentrum, 1993.
  30. Zankl M, Panzer W, Drexler G. The calculation of dose from external photon exposures using reference humans and Monte Carlo methods. VI. Organ doses from tomographic examinations. In: GSF report no. 30/91. Oberschleissheim, Germany: GSF-Forschungszentrum, 1991.
  31. International Committee on Radiation Protection and Measurements publication no. 60. Radiological protection and safety in medicine. Oxford, England: Pergamon, 1991.
  32. Cohen J. Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol Bull 1968;70:213–220.[CrossRef]
  33. Fisher LD, Van Belle G. Biostatistics: a methodology for the health sciences. New York, NY: Wiley, 1993; 106–113.
  34. Altman DG. Practical statistics for medical research. London, England: Chapman & Hall, 1994; 403–409.
  35. Mayo JR, Kim KI, MacDonald SL, et al. Reduced radiation dose helical chest CT: effect on reader evaluation of structures and lung findings. Radiology 2004;232:749–756.[Abstract/Free Full Text]
  36. Worthy SA, Park CS, Kim JS, Muller NL. Bronchiolitis obliterans after lung transplantation: high-resolution CT findings in 15 patients. AJR Am J Roentgenol 1997;169:673–677.[Abstract/Free Full Text]
  37. Konen E, Gutierrez C, Chaparro C, et al. Bronchiolitis obliterans syndrome in lung transplant recipients: can thin-section CT findings predict disease before its clinical appearance? Radiology 2004;231:467–473.
  38. Lee ES, Gotway MB, Reddy GP, Golden JA, Keith FM, Webb WR. Early bronchiolitis obliterans following lung transplantation: accuracy of expiratory thin-section CT for diagnosis. Radiology 2000;216:472–477.[Abstract/Free Full Text]
  39. Bankier AA, Van Muylem A, Knoop C, Estenne M, Gevenois PA. Bronchiolitis obliterans syndrome in heart-lung transplant recipients: diagnosis with expiratory CT. Radiology 2001;218:533–539.[Abstract/Free Full Text]
  40. Boehler A, Estenne M. Obliterative bronchiolitis after lung transplantation. Curr Opin Pulm Med 2000;6:133–139.[CrossRef][Medline]
  41. Miller WT Jr, Kotloff RM, Blumenthal NP, Aronchick JM, Gefter WB, Miller WT. Utility of high resolution computed tomography in predicting bronchiolitis obliterans syndrome following lung transplantation: preliminary findings. J Thorac Imaging 2001;16:76–80.[CrossRef][Medline]
  42. Bankier AA, Van Muylem A, Scillia P, De Maertelaer V, Estenne M, Gevenois PA. Air trapping in heart-lung transplant recipients: variability of anatomic distribution and extent at sequential expiratory thin-section CT. Radiology 2003;229:737–742.[Abstract/Free Full Text]



This article has been cited by other articles:


Home page
RadiologyHome page
S. Matsuoka, Y. Kurihara, K. Yagihashi, M. Hoshino, and Y. Nakajima
Airway Dimensions at Inspiratory and Expiratory Multisection CT in Chronic Obstructive Pulmonary Disease: Correlation with Airflow Limitation
Radiology, September 1, 2008; 248(3): 1042 - 1049.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
A. A. Bankier, S. Mehrain, D. Kienzl, M. Weber, M. Estenne, and P. A. Gevenois
Regional Heterogeneity of Air Trapping at Expiratory Thin-Section CT of Patients with Bronchiolitis: Potential Implications for Dose Reduction and CT Protocol Planning
Radiology, June 1, 2008; 247(3): 862 - 870.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
2423060196v1
242/3/898    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bankier, A. A.
Right arrow Articles by Gevenois, P. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bankier, A. A.
Right arrow Articles by Gevenois, P. A.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
RADIOLOGY RADIOGRAPHICS RSNA JOURNALS ONLINE