The diagnostic accuracy of CT-guided biopsy in the diagnosis of lung cancer


Author(s): Zahir Salih Khoshnaw, Hemin Khalid Saber and Ayad Sameen Faraj*

Background: Lung cancer is the second most common cancer worldwide, with higher rates of incidence among men and seniors. CT scan-guided biopsy has been known to be a good and less invasive test for diagnosing lung cancer. The present study was carried out to examine the diagnostic accuracy of CT scan-guided biopsy in diagnosing lung cancer. Patients and Methods: One hundred patients suspected of lung cancer were studied in a prospective observational study conducted in Rizgary Teaching Hospital and outpatient respiratory private clinic-Hawler, Kurdistan/Iraq. A convenient sampling method was employed to select the patients. Required data were collected from the patient’s medical profiles and CT scan images. Results: Most of the patients were aged 70 to 79 years (40%), 50 to 59 years (23%), and 60 to 69 years (20%). Three-fourths of the patients (75%) were males. The location of lung cancer in most of the patients (63%) was peripheral, and the lesion size in 51% of the cases was more than 5 cm and 3 to 5 cm in 38% of them. Lung nodules had irregular margins in most of the cases (92%). The metastasis locations included the brain in 5 patients, the liver in 3 patients, the adrenal in 2 patients, bone in 2 patients, the liver and adrenal in 2 patients, and the brain and adrenal in 1 patient. Ct scan-guided was associated with no complications. The histopathology results were found to be statistically associated with the shape of the nodule margins (p-value=0.002). Conclusion: CT scan-guided lung biopsy can be used as a safe and reliable method for diagnosing lung cancer. This method has a very low rate of complication and high diagnostic accuracy.

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Awards Nomination

Editors List

  • Prof. Elhadi Miskeen

    Obstetrics and Gynaecology Faculty of Medicine, University of Bisha, Saudi Arabia

  • Ahmed Hussien Alshewered

    University of Basrah College of Medicine, Iraq

  • Sudhakar Tummala

    Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh




  • Alphonse Laya

    Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis


  • Fava Maria Giovanna


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