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

  • Pratyaksha Rana
  • Kushaljit Singh SodhiEmail author
  • Anmol Bhatia
  • Akshay Kumar Saxena
  • Deepti Suri
  • Surjit Singh
Original Article



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.


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.


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%).


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


3-T Children Human immunodeficiency virus Lung Magnetic resonance imaging 



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

Compliance with ethical standards

Conflicts of interest


Supplementary material

247_2019_4523_MOESM1_ESM.docx (9 kb)
ESM 1 (DOCX 9 kb)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Pratyaksha Rana
    • 1
  • Kushaljit Singh Sodhi
    • 1
    Email author
  • Anmol Bhatia
    • 1
  • Akshay Kumar Saxena
    • 1
  • Deepti Suri
    • 2
  • Surjit Singh
    • 2
  1. 1.Department of Radiodiagnosis and ImagingPost Graduate Institute of Medical Education and ResearchChandigarhIndia
  2. 2.Department of PediatricsPost Graduate Institute of Medical Education and ResearchChandigarhIndia

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