scholarly journals Diagnostic Accuracy of High-Resolution Computed Tomography of Chest in Diagnosing Sputum Smear Positive and Sputum Smear Negative Pulmonary Tuberculosis

Cureus ◽  
2020 ◽  
Author(s):  
Waqas Rasheed ◽  
Ruby Qureshi ◽  
Naila Jabeen ◽  
Hyder A Shah ◽  
Rashid Naseem Khan
2010 ◽  
Vol 73 (3) ◽  
pp. 545-550 ◽  
Author(s):  
Masanori Nakanishi ◽  
Yoshiki Demura ◽  
Shingo Ameshima ◽  
Nobuyuki Kosaka ◽  
Yukio Chiba ◽  
...  

2021 ◽  
Vol 71 (4) ◽  
pp. 1341-45
Author(s):  
Maryam Hussain ◽  
Sultan Mehmood Kamran ◽  
Rizwan Azam ◽  
Asifullah Khan ◽  
Sohaib Ahmed ◽  
...  

Objective: To determine role of endobronchial washings/biopsy in diagnosis of smear negative pulmonary tuberculosis and evaluate their association with computed tomography findings. Study Design: Cross-sectional - analytical study. Place and Duration of Study: Department of Pulmonology, Pak Emirates Military Hospital, Rawalpindi Pakistan, from Jan to Jun 2020. Methodology: Patients having symptoms of pulmonary tuberculosis and abnormal findings on chest imaging with negative sputum smears for acid fast bacilli were selected for endobronchial washings. Bronchoscopy for washings was carried out in these patients and sample was sent for Acid fast bacilli stain, Mycobacterium tuberculosis gene Xpert and acid fast bacilli culture and sensitivity bacterial culture and fungal hyphae. In case of mass lung endobronchial and/or transbronchial lung biopsy was done and sample was sent for histopathology Active pulmonary tuberculosis was labelled as per definition. Results: Out of 105, 75 (71.4%) were male and 30 (28.6%) were female. Mean age was 55.69 ± 17.33 years. Total 40 (38.09%) were diagnosed with pulmonary tuberculosis (based on smear, genexpert, culture and histopathology). In these 40 patients, computed tomographic findings showed consolidation in 10 (25%) cases, cavity in 7 (17.5%), bronchiectasis in 3 (7.5%), mass in 1 (2.5%), pleural effusion in 2 (5%), lymphadenopathy in 1 (2.5%) and tree-in-budappearance in 12 (30%) cases. Conclusion: High resolution computed tomography and endobronchial washing both combined together increase the diagnostic yield in smear negative cases.


2000 ◽  
Vol 42 (5) ◽  
pp. 757
Author(s):  
Myung Hee Chung ◽  
Hae Giu Lee ◽  
Won Jong Yu ◽  
Hong Jun Chung ◽  
Bo Sung Yang ◽  
...  

2021 ◽  
Vol 15 (6) ◽  
pp. 1679-1681
Author(s):  
Afaque Ali ◽  
Majid Shaikh ◽  
Ahsanullah . ◽  
Adeel Ahmed ◽  
Abid Ali Sahito ◽  
...  

Objective: To determine the diagnostic accuracy of High-resolution computed tomography (HRCT) chest in detection of covid-19 infection taking PCR as gold standard. Study Design: Cross-sectional study Setting: Radiology department of Tabba Hospital, Karachi. Duration: From March 2019 to September 2020 Material and Methods: All the clinically suspected patients of covid-19, of any age, both genders and those referred to radiology for High-resolution computed tomography (HRCT) chest to detect the covid-19 infection were included. After two days, patients’ PCR reports were collected from the ward, after taking informed consent and permission from head of department. The diagnostic accuracy of HRCT was established with respect to sensitivity, PPV, NPV, and specificity by taking PCR as gold standard. All the information was collected via study proforma. Results: Total 70 patients suspected for COVID-19 were studied, and the patients’ mean age was 58.23±9.52 years. Males were in majority 54(77.1%). As per HRCT findings, COVID-19 infection was positive in 46 patients, however, 48 patients were detected positive for COVID-19 infection as per PCR findings. In the detection of COVID-19 infection, HRCT chest showed sensitivity of 91%, specificity of 90%, PPV of 83%, NPV of 84% and diagnostic accuracy of 94%; by taking PCR as gold standard. Conclusion: High-resolution computed tomography (HRCT) is a reliable diagnostic approach in promptly detecting the COVID-19; with 91% sensitivity, 90% specificity, 83% positive predictive value, 84% negative predictive value and 94% diagnostic accuracy. Keywords: Accuracy, HRCT, COVID-19


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