Diagnostic Accuracy of Contrast Enhanced Computed Tomography in Detecting Bronchogenic Carcinoma-Experience At Liaquat National Hospital

Authors

  • Nazish Khaliq Department of Radiology, Liaquat National Hospital, Karachi, Pakistan.
  • Ameet Jesrani Sindh Institute of Urology & Transplantation, Karachi, Pakistan.
  • Muhammad Ayub Mansoor Department of Radiology, Liaquat National Hospital, Karachi, Pakistan.
  • Waseem Mehmood Nizamani Department of Radiology, Aga Khan University & Hospital, Karachi Pakistan.
  • Roomi Mahmud Department of Radiology, Liaquat National Hospital, Karachi, Pakistan.
  • Mustansir H Zaidi Department of Radiology, Liaquat National Hospital, Karachi, Pakistan.

Keywords:

Diagnostic Accuracy, bronchogenic carcinoma, CT Scan, Histopathology

Abstract

Background: Lung cancer is one of the most common malignancies worldwide. Cigarette smoking is considered as the major risk factor for bronchogenic carcinoma. The four common types namely – squamous cell; small cell; adeno and large cell carcinomas account for more than 90% cases of Bronchogenic carcinoma. Initially it is detected by plain chest radiography but it is considered as an insensitive. Computed Tomography can detect early stage disease 6-10 times more frequently than X-rays.
Objective: To determine diagnostic accuracy of Contrast Enhanced Computed Tomography in detecting Bronchogenic Carcinoma taking histopathology as Gold Standard.
Methods: Total 157 patients presented with pulmonary nodule or suspicious lesion on X-Ray and had history of haemoptysis, weight loss, cough and chest pain for more than two months were included. CT was performed with I/V contrast. Axial images were taken with patients lying supine. Images were analyzed. The same radiologist assessed the patient included in the study. All patients then underwent biopsy and samples were sent for histopathology. Sensitivity, specificity, and accuracy of computed tomography were calculated using histopathology as gold standard.
Results: There were 101 male and 56 female patients. The mean age was 59.77±7.97 years. On CT Scan 89 patients were diagnosed with bronchogenic carcinoma. On histopathology, 90 patients were diagnosed with bronchogenic carcinoma. The sensitivity of CT Scan was 90.0%, specificity was 88.0% and diagnostic accuracy was 89.1%. Conclusion: CT scan is a sensitive imaging modality in diagnosing malignancy in pulmonary lesions.

Downloads

Download data is not yet available.

References

Rana F, Rana H, Gill J, Saeed K. Epidemiology of lung cancer in Pakistani patients. Ann King Edwards Med Coll.1998;4:47-9.

Ravene J, Costello P, Silvestri G. Screening for lung cancer. Med Uni South Carolina. 2007;190:755.

Holdings N, Shaw P. Diagnostic imaging of lung cancer. Eur Respir J. 2002;19;722-42.

Rubens MB, Padley SPG. In: David S. Text book of Radiology and Imaging London: Churchill Living Stone; 2003.107.

Sulaiman MI, Jibran R. Demographic of Bronchogenic Carcinoma patients & frequency of cell types. Gomal J Med Sci. 2006;4:2-6.

Choromañska A, Macura KJ. Evaluation of solitary pulmonary nodule detected during computed tomography examination. Pol J Radiol. 2012 Apr- Jun; 77: 22–34.

Jahadli HA. Evaluation of patients with lung cancer. Annal Throc Med. 2008;3:74-78.

Toyoda Y, Nakayama T, Kusunoki Y, Iso H, Suzuki T. Sensitivity and specificity of lung cancer

screening using chest low dose computed tomography. Br J Cancer. 2008;98:1602-7.

Jeong YJ, Yi C, Lee KS. Solitary pulmonary nodules, detection, characterization & guidance for further diagnostic workup & treatment. Am J Roentgenol. 2007;188:57-68.

Laurent F, Montardon M, Corneloup O. CT and MRI of lung cancer. 2006;73:133-42.

Lindell RM , Hartman TE , Swensen SJ , Jett JR , Midthun DE , Nathan MA . Lung cancer screening experience. Am J Roentgenol. 2005;185:126-31.

Shetty CM , Lakhkar BN. Changing pattern of Bronchogenic Carcinoma. a statistical variation or a reality. Ind Radiol Imag. 2005;15:233-8.

Shanna KK, Martin AA, Jonathan G, Barbara JF, Magnus D, Mthew B, et al. Accuracy of PET/CT in characterization of solitary pulmonary lesions. J Nuc Med. 2007 Feb;48:214-20.

Haura E. Treatment of advanced non small cell lung cancer; A review of current randomized trails and an examination of emerging therapies. 2001 Jul-Aug;8:326-36.

Imaad-ur-Rehman, Memon W, Husen Y, Akhtar W, Sophie R, Baig MA. Accuracy of computed tomography in diagnosing malignancy in solitary pulmonary lesions. J Pak Med Assoc. 2011 Jan;61:48-51.

World Health Organisation: Global Tuberculosis Control. WHO Report. 2006: Geneva: World Health

Organisation, 2006.

Cohen V, Khuri F. Progress in lung cancer chemoprevention. Cancer control.2003;10:315-24.

Frumkin H, Thun M. Arsenic. Cancer. Cancer J Clinici. 2001:51:254-62.

Bhurgi Y, Bhurgi A, Usman A, Sheikh N, Faridi N, Malik J, et al. Pathoepidemiology of lung cancer in Karachi(1995-2002). Asian Pac J Cancer Prev. 2006;7:60-4.

Parkin DM, Bray F, Ferlay J, Pisani P. Global cancer statistics 2002. Cancer J Clin. 2005;55;74-108.

Khan MB, Mashood AA, Qureshi AA, Ibrar K. Tuberculosis Disease pattern and sputum microscopy yield. Pak J Chest Med. 2005

Dec:11:11-9.

Office for National statistics, Cancer statistics registrations: Registration of cancer diagnosed in 2005, England. Series MBI no.36.2008.

David O, Alan MF, Steven HF. The solitary ulmonary nodule. N Engl J Med. 2003 June;348;25.

Erasums JJ, Connolly JE, McAdams HP, Roggli VL. Solitary pulmonary nodules: PartI. Morphologic evaluation for differentiation benign

and malignant lesions. 2000 Jan-Feb;20:43-58.

Siegelman SS, Zerhouni EA, Leo FP, Khouri NF, Stitik FP. CT of solitary pulmonary nodule. Am J Radiol. 1980;135:1-13.

Gurney JW. Determining the likelihood of malignancy in solitary pulmonary nodules with Bayesian analysis. Radiol. 1993;186;405-13.

Huston J, Muhm JR. Solitary pulmonary opacities; plain tomography. Radiol. 1987;163:481-5.

Downloads

Published

2017-04-29

How to Cite

Khaliq, N., Jesrani, A., Mansoor, M. A., Nizamani, W. M., Mahmud, R., & Zaidi, M. H. (2017). Diagnostic Accuracy of Contrast Enhanced Computed Tomography in Detecting Bronchogenic Carcinoma-Experience At Liaquat National Hospital. Journal of the Dow University of Health Sciences (JDUHS), 11(1), 18–23. Retrieved from https://jduhs.com/index.php/jduhs/article/view/1420

Issue

Section

Original Articles