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Diagnostic accuracy of 3-T lung magnetic resonance imaging in human immunodeficiency virus-positive children

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Abstract

Background

More than 70% of human immunodeficiency virus (HIV)-positive children sustain respiratory diseases in their lifetime. Imaging plays an important role in establishing early and correct diagnosis.

Objective

To evaluate the diagnostic accuracy of 3-Tesla (T) thorax MRI in HIV-positive children, using chest CT as the gold standard.

Materials and methods

We included 25 children with confirmed HIV-positive status and pulmonary complaints who were referred for chest CT. All children had 3-T thorax MRI using T2-W turbo spin-echo sequence, steady-state free precession gradient echo sequence, T2-W turbo spin-echo MultiVane XD sequence, and T1-weighted modified Dixon sequences. We evaluated the images for various pulmonary and mediastinal findings and calculated the sensitivity and specificity of 3-T thoracic MRI.

Results

Sensitivity of 3-T MRI was 100% for detecting nodules >4 mm (95% confidence interval [CI] 66.3–100%), pleural effusion (CI 29.2–100%) and lymphadenopathy (CI 81.5–100%). It demonstrated a specificity of 100% for nodules >4 mm (CI 79.4–100%), pleural effusion (CI 84.6–100%) and lymphadenopathy (CI 59–100%). For consolidation/collapse, sensitivity and specificity were 93.8% (CI 69.8–99.8%) and 88.9% (CI 51.8–99.7%), respectively. The sensitivity and specificity for detecting bronchiectasis were 75% (CI 42.8–94.5%) and 100% (CI 75.3–100%), respectively, while for ground-glass opacity, sensitivity and specificity were 75% (CI 34.9–96.8%) and 94.1% (CI 71.3–99.9%), respectively. Nodules <4 mm were not well detected on MRI, with sensitivity of 35% (CI 15.4–59.2%).

Conclusion

Thoracic MRI at 3 T demonstrates a high sensitivity and specificity for detecting nodules >4 mm, effusion and lymphadenopathy in HIV-positive children.

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References

  1. (2019) Global HIV/AIDS overview. AIDS.gov. https://www.aids.gov/federal-resources/around.../global-aids-overview. Accessed 29 Aug 2019

  2. Norton KI, Kattan M, Rao JS et al (2001) Chronic radiographic lung changes in children with vertically transmitted HIV-1 infection. AJR Am J Roentgenol 176:1553–1558

    Article  CAS  Google Scholar 

  3. Akinbami AA, Adegboyega AO, Oshinaike OO et al (2011) Chest X-ray findings in HIV patients in relation to the CD4 count. Nig Q J Hosp Med 21:306–311

    CAS  PubMed  Google Scholar 

  4. Welte T (2014) Imaging in the diagnosis of lung disease: more sophisticated methods require greater interdisciplinary collaboration. Dtsch Arztebl Int 111:179–180

    PubMed  PubMed Central  Google Scholar 

  5. American College of Radiology (ACR) (2019) ACR appropriateness criteria: acute respiratory illness in HIV-positive patients. www.acr.org/SecondaryMainMenuCategories/quality_safety/app_criteria/pdf/ExpertPanelonThoracicImaging/AcuteRespiratoryIllnessinHIVPositivePatients-Doc2.aspx. Accessed 29 Aug 2019

  6. Brenner DJ, Hall EJ (2007) Computed tomography — an increasing source of radiation exposure. N Engl J Med 357:2277–2284

    Article  CAS  Google Scholar 

  7. Sodhi KS, Krishna S, Saxena AK et al (2015) Clinical application of 'justification' and 'optimization' principle of ALARA in pediatric CT imaging: "how many children can be protected from unnecessary radiation?". Eur J Radiol 84:1752–1757

    Article  Google Scholar 

  8. Brody AS, Frush DP, Huda W, Brent RL (2007) Radiation risk to children from computed tomography. Pediatrics 120:677–682

    Article  Google Scholar 

  9. Yikilmaz A, Koc A, Coskun A et al (2011) Evaluation of pneumonia in children: comparison of MRI with fast imaging sequences at 1.5 T with chest radiographs. Acta Radiol 52:914–919

    Article  Google Scholar 

  10. Biederer J, Mirsadraee S, Beer M et al (2012) MRI of the lung (3/3)-current applications and future perspectives. Insights Imaging 3:373–386

    Article  Google Scholar 

  11. Peltola V, Ruuskanen O, Svedstrom E (2008) Magnetic resonance imaging of lung infections in children. Pediatr Radiol 38:1225–1231

    Article  Google Scholar 

  12. Zar HJ, Andronikou S, Nicol MP (2017) Advances in the diagnosis of pneumonia in children. BMJ 358:j2739

    Article  Google Scholar 

  13. Hirsch W, Sorge I, Krohmer S et al (2008) MRI of the lungs in children. Eur J Radiol 68:278–288

    Article  Google Scholar 

  14. Manson DE (2013) MR imaging of the chest in children. Acta Radiol 54:1075–1085

    Article  Google Scholar 

  15. Sodhi KS, Sharma M, Saxena AK et al (2017) MRI in thoracic tuberculosis of children. Indian J Pediatr 84:670–676

    Article  Google Scholar 

  16. Rizzi EB, Schinina V, Cristofaro M et al (2011) Detection of pulmonary tuberculosis: comparing MR imaging with HRCT. BMC Infect Dis 11:243

    Article  Google Scholar 

  17. Serra G, Milito C, Mitrevski M et al (2011) Lung MRI as a possible alternative to CT scan for patients with primary immune deficiencies and increased radiosensitivity. Chest 140:1581–1589

    Article  Google Scholar 

  18. Arslan S, Poyraz N, Ucar R et al (2016) Magnetic resonance imaging may be a valuable radiation-free technique for lung pathologies in patients with primary immunodeficiency. J Clin Immunol 36:66–72

    Article  CAS  Google Scholar 

  19. Eibel R, Herzog P, Dietrich O et al (2006) Pulmonary abnormalities in immunocompromised patients: comparative detection with parallel acquisition MR imaging and thin-section helical CT. Radiology 241:880–891

    Article  Google Scholar 

  20. Leutner CC, Gieseke J, Lutterbey G et al (2000) MR imaging of pneumonia in immunocompromised patients: comparison with helical CT. AJR Am J Roentgenol 175:391–397

    Article  CAS  Google Scholar 

  21. Montella S, Maglione M, Bruzzese D et al (2012) Magnetic resonance imaging is an accurate and reliable method to evaluate non-cystic fibrosis paediatric lung disease. Respirology 17:87–91

    Article  Google Scholar 

  22. Sodhi KS, Khandelwal N, Saxena A et al (2016) Rapid lung MRI: paradigm shift in evaluation of febrile neutropenia in children with leukemia: a pilot study. Leuk Lymphoma 57:70–75

    Article  Google Scholar 

  23. Gorkem SB, Coskun A, Yikilmaz A et al (2013) Evaluation of pediatric thoracic disorders: comparison of unenhanced fast-imaging-sequence 1.5-T MRI and contrast-enhanced MDCT. AJR Am J Roentgenol 200:1352–1357

    Article  Google Scholar 

  24. Ozcan HN, Gormez A, Ozsurekci Y et al (2017) Magnetic resonance imaging of pulmonary infection in immunocompromised children: comparison with multidetector computed tomography. Pediatr Radiol 47:146–153

    Article  Google Scholar 

  25. Yan C, Tan X, Wei Q et al (2015) Lung MRI of invasive fungal infection at 3 tesla: evaluation of five different pulse sequences and comparison with multidetector computed tomography (MDCT). Eur J Radiol 25:550–557

    Article  Google Scholar 

  26. Attenberger UI, Morelli JN, Henzler T et al (2014) 3 tesla proton MRI for the diagnosis of pneumonia/lung infiltrates in neutropenic patients with acute myeloid leukemia: initial results in comparison to HRCT. Eur J Radiol 83:e61–e66

    Article  CAS  Google Scholar 

  27. Hansell DM, Bankier AA, MacMahon H et al (2008) Fleischner Society: glossary of terms for thoracic imaging. Radiology 246:697–722

    Article  Google Scholar 

  28. Montella S, Santamaria F, Salvatore M (2009) Assessment of chest high-field magnetic resonance imaging in children and young adults with noncystic fibrosis chronic lung disease: comparison to high-resolution computed tomography and correlation with pulmonary function. Investig Radiol 44:532–538

    Article  Google Scholar 

  29. Sodhi KS, Sharma M, Lee EY et al (2018) Diagnostic utility of 3T lung MRI in children with interstitial lung disease: a prospective pilot study. Acad Radiol 25:380–386

    Article  Google Scholar 

  30. Lutterbey G, Grohé C, Gieseke J et al (2007) Initial experience with lung-MRI at 3.0 T: comparison with CT and clinical data in the evaluation of interstitial lung disease activity. Eur J Radiol 61:256–261

    Article  CAS  Google Scholar 

  31. Montella S, Santamaria F, Salvatore M et al (2009) Lung disease assessment in primary ciliary dyskinesia: a comparison between chest high-field magnetic resonance imaging and high-resolution computed tomography findings. Ital J Pediatr 35:24

    Article  Google Scholar 

  32. Fink C, Puderbach M, Biederer J et al (2007) Lung MRI at 1.5 and 3 tesla: observer preference study and lesion contrast using five different pulse sequences. Investig Radiol 42:377–383

    Article  Google Scholar 

  33. Sodhi KS, Khandelwal N, Saxena AK et al (2016) Rapid lung MRI in children with pulmonary infections: time to change our diagnostic algorithms. J Magn Reson Imaging 43:1196–1206

    Article  Google Scholar 

  34. Dournes G, Yazbek J, Benhassen W et al (2018) 3D ultrashort echo time MRI of the lung using stack-of-spirals and spherical k-space coverages: evaluation in healthy volunteers and parenchymal diseases. J Magn Reson Imaging 48:1489–1497

    Article  Google Scholar 

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Acknowledgments

The authors acknowledge Ms. Kusum Chopra and Mr. Ramesh Goel for statistical analysis of this manuscript.

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Correspondence to Kushaljit Singh Sodhi.

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Rana, P., Sodhi, K.S., Bhatia, A. et al. Diagnostic accuracy of 3-T lung magnetic resonance imaging in human immunodeficiency virus-positive children. Pediatr Radiol 50, 38–45 (2020). https://doi.org/10.1007/s00247-019-04523-0

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