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Proximal pulmonary vein stenosis detection in pediatric patients: value of multiplanar and 3-D VR imaging evaluation

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Abstract

Background

One of the important benefits of using multidetector computed tomography (MDCT) is its capability to generate high-quality two-dimensional (2-D) multiplanar (MPR) and three-dimensional (3-D) images from volumetric and isotropic axial CT data. However, to the best of our knowledge, no results have been published on the potential diagnostic role of multiplanar and 3-D volume-rendered (VR) images in detecting pulmonary vein stenosis, a condition in which MDCT has recently assumed a role as the initial noninvasive imaging modality of choice.

Objective

The purpose of this study was to compare diagnostic accuracy and interpretation time of axial, multiplanar and 3-D VR images for detection of proximal pulmonary vein stenosis in children, and to assess the potential added diagnostic value of multiplanar and 3-D VR images.

Materials and methods

We used our hospital information system to identify all consecutive children (< 18 years of age) with proximal pulmonary vein stenosis who had both a thoracic MDCT angiography study and a catheter-based conventional angiography within 2 months from June 2005 to February 2012. Two experienced pediatric radiologists independently reviewed each MDCT study for the presence of proximal pulmonary vein stenosis defined as ≥ 50% of luminal narrowing on axial, multiplanar and 3-D VR images. Final diagnosis was confirmed by angiographic findings. Diagnostic accuracy was compared using the z-test. Confidence level of diagnosis (scale 1–5, 5 = highest), perceived added diagnostic value (scale 1–5, 5 = highest), and interpretation time of multiplanar or 3-D VR images were compared using paired t-tests. Interobserver agreement was measured using the chance-corrected kappa coefficient.

Results

The final study population consisted of 28 children (15 boys and 13 girls; mean age: 5.2 months). Diagnostic accuracy based on 116 individual pulmonary veins for detection of proximal pulmonary vein stenosis was 72.4% (84 of 116) for axial MDCT images, 77.5% (90 of 116 cases) for multiplanar MDCT images, and 93% (108 of 116 cases) for 3-D VR images with significantly higher accuracy with 3-D VR compared to axial (z = 4.17, P < 0.001) and multiplanar (z = 3.34, P < 0.001) images. Confidence levels for detection of proximal pulmonary vein stenosis were significantly higher with 3-D VR images (mean level: 4.6) compared to axial MDCT images (mean level: 1.7) and multiplanar MDCT images (mean level: 2.0) (paired t-tests, P < 0.001). Thus, 3-D VR images (mean added diagnostic value: 4.7) were found to provide added diagnostic value for detecting proximal pulmonary vein stenosis (paired t-test, P < 0.001); however, multiplanar MDCT images did not provide added value (paired t-test, P = 0.89). Interpretation time was significantly longer and interobserver agreement was higher when using 3-D VR images than using axial MDCT images or MPR MDCT images for diagnosing proximal pulmonary vein stenosis (paired t-tests, P < 0.001).

Conclusions

Use of 3-D VR images in the diagnosis of proximal pulmonary vein stenosis in children significantly increases accuracy, confidence level, added diagnostic value and interobserver agreement. Thus, the routine use of this technique should be encouraged despite its increased interpretation time.

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References

  1. Morra A, Clemente A, Del Borrello M et al (2008) Multidetector computed tomography and 2- and 3-dimensional postprocessing in the evaluation of congenital thoracic vascular anomalies. J Cardiovasc Comput Tomogr 2:245–255

    Article  PubMed  Google Scholar 

  2. Das CJ, Seith A, Mukhopadhyay S (2007) Thoracic application of multi-detector CT. Indian J Chest Dis Allied Sci 49:29–36

    PubMed  Google Scholar 

  3. Lee EY, Boiselle PM, Shamberger RC (2010) Multidetector computed tomography and 3-dimensional imaging: preoperative evaluation of thoracic vascular and tracheobronchial anomalies and abnormalities in pediatric patients. J Pediatr Surg 45:811–821

    Article  PubMed  Google Scholar 

  4. Ueno J, Murase T, Yoneda K et al (2004) Three-dimensional imaging of thoracic diseases with multi-detector row CT. J Med Invest 51:163–170

    Article  PubMed  Google Scholar 

  5. Horton KM, Horton MR, Fishman EK (2007) Advanced visualization of airways with 64-MDCT: 3-D mapping and virtual bronchoscopy. AJR Am J Roentgenol 189:1387–1396

    Article  PubMed  Google Scholar 

  6. Lee EY, Tracy DA, Mahmood SA et al (2011) Preoperative MDCT evaluation of congenital lung anomalies in children: comparison of axial, multiplanar, and 3-D images. AJR Am J Roentgenol 196:1040–1046

    Article  PubMed  Google Scholar 

  7. Oguz B, Haliloglu M, Karcaaltincaba M (2007) Paediatric multidetector CT angiography: spectrum of congenital thoracic vascular anomalies. Br J Radiol 80:376–383

    Article  PubMed  CAS  Google Scholar 

  8. Toma P, Rizzo F, Stagnaro N et al (2011) Multislice CT in congenital bronchopulmonary malformations in children. Radiol Med 116:133–151

    Article  PubMed  CAS  Google Scholar 

  9. Lee EY, Zucker EJ, Tsai J et al (2011) Pulmonary MDCT angiography: value of multiplanar reformatted images in detecting pulmonary embolism in children. AJR Am J Roentgenol 197:1460–1465

    Article  PubMed  Google Scholar 

  10. Vyas HV, Greenberg SB, Krishnamurthy R (2012) MR imaging and CT evaluation of congenital pulmonary vein abnormalities in neonates and infants. Radiographics 32:87–98

    Article  PubMed  Google Scholar 

  11. Ou P, Marini D, Celermajer DS et al (2009) Non-invasive assessment of congenital pulmonary vein stenosis in children using cardiac-non-gated CT with 64-slice technology. Eur J Radiol 70:595–599

    Article  PubMed  Google Scholar 

  12. Balasubramanian S, Marshall AC, Gauvreau K et al (2012) Outcomes after stent implantation for the treatment of congenital and postoperative pulmonary vein stenosis in children. Circ Cardiovasc Interv 5:109–117

    Article  PubMed  Google Scholar 

  13. Hickey EJ, Caldarone CA (2011) Surgical management of post-repair pulmonary vein stenosis. Semin Thorac Cardiovasc Surg Pediatr Card Surg Annu 14:101–108

    Article  PubMed  Google Scholar 

  14. Viola N, Alghamdi AA, Perrin DG et al (2011) Primary pulmonary vein stenosis: the impact of sutureless repair on survival. J Thorac Cardiovasc Surg 142:344–350

    Article  PubMed  Google Scholar 

  15. Peng LF, Lock JE, Nugent AW et al (2010) Comparison of conventional and cutting balloon angioplasty for congenital and postoperative pulmonary vein stenosis in infants and young children. Catheter Cardiovasc Interv 75:1084–1090

    PubMed  Google Scholar 

  16. Seale AN, Webber SA, Uemura H et al (2009) Pulmonary vein stenosis; the UK, Ireland and Sweden collaborative study. Heart 95:1944–1949

    Article  PubMed  CAS  Google Scholar 

  17. Zeiberg AS, Silverman PM, Sessions RB et al (1996) Helical (spiral) CT of the upper airway with three-dimensional imaging: technique and clinical assessment. AJR Am J Roentgenol 166:293–299

    Article  PubMed  CAS  Google Scholar 

  18. Kundel HL, Polansky M (2003) Measurement of observer agreement. Radiology 228:303–308

    Article  PubMed  Google Scholar 

  19. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174

    Article  PubMed  CAS  Google Scholar 

  20. Lee EY, Siegel MJ, Hildebolt CF et al (2004) MDCT evaluation of thoracic aortic anomalies in pediatric patients and young adults: comparison of axial, multiplanar, and 3-D images. AJR Am J Roentgenol 182:777–784

    Article  PubMed  Google Scholar 

  21. Kang M, Khandelwal N, Ojili V et al (2006) Multidetector CT angiography in pulmonary sequestration. J Comput Assist Tomogr 30:926–932

    Article  PubMed  Google Scholar 

  22. Lee EY, Siegel MJ, Sierra LM et al (2004) Evaluation of angioarchitecture of pulmonary sequestration in pediatric patients using 3-D MDCT angiography. AJR Am J Roentgenol 183:183–188

    Article  PubMed  Google Scholar 

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Lee, E.Y., Jenkins, K.J., Muneeb, M. et al. Proximal pulmonary vein stenosis detection in pediatric patients: value of multiplanar and 3-D VR imaging evaluation. Pediatr Radiol 43, 929–936 (2013). https://doi.org/10.1007/s00247-013-2647-8

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  • DOI: https://doi.org/10.1007/s00247-013-2647-8

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