• Users Online: 91
  • Print this page
  • Email this page
CASE REPORT
Year : 2022  |  Volume : 9  |  Issue : 3  |  Page : 104-107

Computed tomography diagnosis of pulmonary hydatid disease


1 Department of Clinical Medicine, Dali University, Dali, China
2 Department of Medical Imaging, Calmette Hospital, The First Hospital of Kunming, Kunming, China
3 Department of Medical Imaging, Yunnan Cancer Hospital, Kunming, China
4 Department of Medical Imaging, The First Affiliated Hospital of Dali University, Dali, China

Correspondence Address:
Bin Yang
Department of Medical Imaging, Calmette Hospital, The First Hospital of Kunming, Kunming 650000
China
Zhengyu Liu
Department of Medical Imaging, The First Affiliated Hospital of Dali University, Dali 671000
China
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/RID.RID_25_22

Rights and Permissions

Pulmonary hydatid disease is a helminthic zoonotic disease caused by Echinococcus infection. The symptoms may appear several years after infection. Chest computed tomography (CT) is the preferred examination method and plays an important role in early diagnosis, treatment, and prognosis evaluation. CT can be used to diagnose simple cystic lesions. However, when the cysts are infected or ruptured, atypical imaging findings such as increased cyst density, blurring of the cyst wall, and surrounding exudation may lead to misdiagnosis of lung infection or lung abscess, hindering the therapeutic effect. We analyzed and compared the atypical imaging manifestations of pulmonary simple hydatid disease and hydatid cyst rupture. The aims of this report are to improve clinicians' understanding of these diseases, promote early diagnosis and treatment, and reduce the occurrence of complications.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed484    
    Printed64    
    Emailed0    
    PDF Downloaded43    
    Comments [Add]    

Recommend this journal