Lung Manifestation of Collagen Vascular Disease in HRCT

Lung Manifestation of Collagen Vascular Disease in HRCT

  • Jagruti Kalola Additional Professor, Department of Radio diagnosis PDU Medical College& Government Hospital, Rajkot
  • Anjana Trivedi Professor and Head, Department of Radio diagnosis PDU Medical College& Government Hospital, Rajkot
  • Hiral Happani Assistant Professor, Department of Radio diagnosis PDU Medical College & Government Hospital, Rajkot
  • Mohit Chauhan Resident Doctor, Department of Radio diagnosis PDU Medical College& Government Hospital, Rajkot

Abstract

Background: The aim of this paper was to evaluate the thoracic manifestations associated with the Connective tissue disorders, with an emphasis on interstitial and airway disease pattern on the High Resolution computed tomography (HRCT) findings. Subjects and Methods: The present study was conducted for a period of one year. A total of 50 patients with various connective tissue disorders having respiratory complaints were evaluated.Results:During the study period 50 patients (80%females and 20%males) underwent evaluation. Cough and dyspnea were the most common presenting symptoms. Variety of thoracic abnormalities weredetected in 67 (95%) cases. Most common abnormality detected on HRCT was interstitial fibrosis/interstitial lung disease present in (60%) cases. Most common parenchymal abnormalities seen were reticulations (61.4%), ground glass opacification (40%), mosaic attenuation (32.8%) and honeycombing (24.3%). Airway abnormalities seen were bronchiectasis (48.5%), emphysema (12.8%), and ground glass nodules (2.8%).Conclusion: Interstitial lung disease is the most common pulmonary manifestation among patients with connective tissue disorders, and early detection and prompt treatment is expected to improve the outcome.

Published
2020-04-29
How to Cite
Jagruti Kalola, Anjana Trivedi, Hiral Happani, & Mohit Chauhan. (2020). Lung Manifestation of Collagen Vascular Disease in HRCT. Asian Journal of Medical Radiological Research, 8(1), 07-10. Retrieved from http://aijournals.com/index.php/ajmrr/article/view/1394