• Maha Esmeal Ahmed Ph. D, Associate Professor, Radiography and Medical Imaging Sciences, Radiological Sciences College, National University- Sudan
  • Mwahib Sid Ahmed Aldosh Ph. D, Associate Professor, Applied Medical College, Radiological Sciences Department, Najran University- Kingdom of Saudi Arabia



Lung Cancer, Staging, Computed Tomography, Imaging

Abstract [English]

Background: Lung cancer is one of leading death worldwide, it begins when cells in the lung grow out of control and formed mass or nodules which classified in two known major forms, non-small cell and small cell cancer. The accurate assessment of the disease extent is important in management approach and Computed tomography imaging in nodal staging remains the important tool for lung cancer diagnosis, particularly when assessing intra and extra thoracic spread of lung cancer.

Objective: This is a quantitative cross-sectional study conducted in Sudanese lung cancer patients in period from November 2019 to February 2020 in Khartoum state hospital. The main aim of the study was to evaluate staging of lung cancer using computed tomography technology.

Method: A group of 100 participants patients were selected randomly in different gender and in age group between (30-80) years old. The inclusion limited to patients diagnosed with lung cancer by computed tomography techniques and the normal cases and other abnormalities was being excluded. The data were collected using a special collection sheet and the data statistical analyzed using SPSS program.

Result: The outcomes of this study showed that patients in age group between (60-70) years old do not have lung cancer in the first stage, while lung cancer in the second stage occurred in 10 patients only with 10 % percentage. The third stage is the most common type with a high incidence rate which occurred in 90 patients with 90 %. Percent.

Conclusion: Advance imaging with CT scan techniques play a critical role in the diagnosis and management of lung cancer patients adding to accurately describing the radiological extent of the disease. Moreover, the important to understand the principles of staging description and their impact on treatment decisions.


Download data is not yet available.


Kalra MK, Maher MM, D'Souza R, et al. Multidetector computed tomography technology: current status and emerging developments. J Comput Assist Tomogr 2004; 28 Suppl. 1:S2–S6 DOI:

Buccheri G, Ferrigno D. Lung cancer: Clinical presentation and specialist referral time. Eur Respir J. 2004; 24:898–904. DOI:

Cancer Staging. American Cancer Society website. Revised March 25, 2015. Accessed July 18, 2018.

Kay FU, Kandathil A, Batra K, et al. Revisions to the tumor, node, metastasis staging of lung cancer (8th edition): rationale, radiologic findings and clinical implications. World Journal of Radiology. 2017 Jun 28:9(6):269-279 DOI:

Goldstraw P, Crowley J, Chansky K, Giroux DJ, Groome PA, Rami-Porta R, et al. The IASLC lung cancer staging project: Proposals for the revision of the TNM stage groupings in the forthcoming (seventh) edition of the TNM classification of malignant tumours. J Thorac Oncol. 2007; 2:706–14. DOI:

Kim, Susan, Scott, Heddwen, 2010, Gannon’s review of medical physiology, 23, Mc Graw-hill companies, 110-176)

Edward Arnold, 2008, Muurs textbook of pathology, 159-188

W.b Saunders,1996, Radiology pathology,17(123-140)

Mosby, 2007, Comprehensive radiographic pathology, elsevier 39-40

Bontrager, lampignano, 2007. Human physiology for dental students, 5, Elsevier. 273-294

Ricard l. Drake, A. Wayne vogl, Adam w. M.mirchwl, 2014, Textbook of Radiographic Positioning and related anatomy,8(699)

N.Hollings. P.Shaw, 2002, Diagnostic imaging of lung cancer, 7, European Respiratory Journal, 7. (723-726).




How to Cite

Ahmed, M. E., & Ahmed Aldosh, M. S. (2020). IMAGING OF LUNG CANCER STAGING USING ADVANCED CT SCAN TECHNIQUES. International Journal of Research -GRANTHAALAYAH, 8(3), 22–28.