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Halvani A, Rafatmagham S, Ghezelbash Z. Relationship between CT scan patterns and biopsy success rate and pathological findings of CT-guided lung biopsy in patients presenting with lung masses in 2023-2024. aumj 2026; 15 (3) : 1
URL: http://aums.abzums.ac.ir/article-1-2009-en.html
1- Department of Internal Medicine, School of Medicine, Islamic Azad University, Yazd Branch, Yazd, Iran
2- Department of Internal Medicine, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran , r.sareh2012@gmail.com
3- Faculty of Medicine, Islamic Azad University, Yazd Branch, Yazd, Iran
Abstract:   (29 Views)
Introduction: Transthoracic needle aspiration biopsy is a reliable and accurate diagnostic procedure for the evaluation of benign and malignant thoracic lesions. Currently, computed tomography (CT) is the most widely used imaging modality for guiding percutaneous needle biopsy procedures of pulmonary lesions. However, several lesion-related factors may influence the diagnostic yield and pathological outcomes of CT-guided lung biopsy.
Methods: This descriptive cross-sectional study was conducted among patients with confirmed lung masses who were referred to Mortaz Hospital in Yazd, Iran, between 2022 and 2024. Consecutive sampling was employed, and 110 patients were initially enrolled in the study. Ten patients were subsequently excluded because their lesions were located in the mediastinum, resulting in a final sample of 100 patients. Data were collected and analyzed using SPSS software. The study protocol was reviewed and approved by the Ethics Committee of the Ali Ibn Abitaleb School of Medicine (Ethics Code: IR.IAU.YAZD.REC.1403.018).
Results: The findings demonstrated a significant association between lung mass size on CT and both biopsy success and pathological diagnosis. Lesions measuring 10–24 mm and 25–39 mm accounted for 25% and 20% of cases, respectively, whereas lesions measuring ≥40 mm constituted 55% of the study population. The latter group demonstrated the highest biopsy success rate and the highest proportion of malignant pathological diagnoses. In contrast, lesions measuring 25–39 mm showed the highest proportion of benign pathological findings. Other CT characteristics, including lesion morphology (mass, nodule, and consolidation; n = 54, 20, and 26, respectively), were not significantly associated with either biopsy success or pathological findings.
Conclusion: The findings of this study suggest that lung mass size measured on CT may serve as a useful predictor of biopsy success and pathological outcomes in patients undergoing CT-guided lung biopsy. Larger pulmonary lesions, particularly those measuring ≥40 mm, were associated with higher biopsy success rates and a greater proportion of malignant pathological diagnoses. Further studies with larger sample sizes are warranted to validate the predictive value of lesion size and other imaging characteristics for the diagnostic yield of CT-guided lung biopsy.
Article number: 1
     
Type of Study: Original | Subject: Special
Received: 2026/05/08 | Accepted: 2026/08/24 | Published: 2026/09/22

References
1. Kraft M. Approach to the patient with respiratory disease. InGoldman's cecil medicine 2012 Jan 1 (pp. 512-516). WB Saunders. [DOI:10.1016/B978-1-4377-1604-7.00083-X]
2. Swischuk JL, Castaneda F, Patel JC, Li R, Fraser KW, Brady TM, Bertino RE. Percutaneous transthoracic needle biopsy of the lung: review of 612 lesions. Journal of Vascular and Interventional Radiology. 1998 Mar 1;9(2):347-52. [DOI:10.1016/S1051-0443(98)70279-9]
3. Connor S, Dyer J, Guest P. Image-guided automated needle biopsy of 106 thoracic lesions: a retrospective review of diagnostic accuracy and complication rates. European radiology. 2000 Feb;10:490-4. [DOI:10.1007/s003300050082]
4. Mueller PR, van Sonnenberg E. Interventional radiology in the chest and abdomen. New England Journal of Medicine. 1990 May 10;322(19):1364-74. [DOI:10.1056/NEJM199005103221906]
5. Moghimi Mansour, Raofian Narjes, Zarepour Ehsan, Nafisi Moghadam Reza. Study of pathological specimens obtained from CT-guided needle biopsy in chest lesions of patients referred to the pathology department of Shahid Sadoughi Hospital, Yazd.Piplani S, Mannan R, Lalit M, Manjari M, Bhasin TS, Bawa J. Cytologic-radiologic correlation using transthoracic CT-guided FNA for lung and mediastinal masses: our experience. Analytical cellular pathology. 2014 Jan 1;2014. [DOI:10.1155/2014/343461]
6. Pradhan A, Gurung G, Thapa NB, Rijal K, Karki DB. Computed tomogram guided fine needle aspiration for lung masses: Radiologic-cytologic correlation. Journal of Chitwan Medical College. 2016;6(4):31-6. [DOI:10.3126/jcmc.v6i4.16713]
7. Trias-Sabrià P, Dorca Duch E, Molina-Molina M, Aso S, Díez-Ferrer M, Marín Muñiz A, et al. Radio-Histological Correlation of Lung Features in Severe COVID-19 Through CT-Scan and Lung Ultrasound Evaluation. Front Med (Lausanne). 2022;9:820661. Epub 20220419. doi: 10.3389/fmed.2022.820661. PubMed PMID: 35514757; PubMed Central PMCID: PMC9063463 [DOI:10.3389/fmed.2022.820661]
8. Mondal SK, Nag D, Parikh B, Shah M, Davara K. Computed tomogram guided fine-needle aspiration cytology of lung mass with histological correlation: A study in Eastern India. South Asian journal of cancer. 2013 Jan;2(01):014-8. [DOI:10.4103/2278-330X.105881]
9. Mukherjee S, Bandyopadhyay G, Bhattacharya A, Ghosh R, Barui G, Karmakar R. Computed tomography-guided fine needle aspiration cytology of solitary pulmonary nodules suspected to be bronchogenic carcinoma: Experience of a general hospital. Journal of Cytology. 2010 Jan 1;27(1):8-11. [DOI:10.4103/0970-9371.66691]
10. Besa C, Huele A, Baechler P, Cruz F. Percutaneous CT-guided cutting needle biopsy of pulmonary lesions: retrospective analysis of 153 procedures. Revista Medica de Chile. 2013 Apr 1;141(4):449-56. [DOI:10.4067/S0034-98872013000400005]
11. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA: a cancer journal for clinicians. 2018 Jan;68(1):7-30. [DOI:10.3322/caac.21442]
12. ‎ Montaudon M, Latrabe V, Pariente A, Corneloup O, Begueret H, Laurent F. Factors influencing accuracy of CT-guided percutaneous biopsies of pulmonary lesions. European radiology. 2004 Jul;14:1234-40. [DOI:10.1007/s00330-004-2250-3]
13. Quint LE, Kretschmer M, Chang A, Nan B. CT-guided thoracic core biopsies: value of a negative result. Cancer Imaging. 2006;6(1):163. [DOI:10.1102/1470-7330.2006.0027]
14. Huang MD, Weng HH, Hsu SL, Hsu LS, Lin WM, Chen CW, Tsai YH. Accuracy and complications of CT-guided pulmonary core biopsy in small nodules: a single-center experience. Cancer Imaging. 2019 Dec;19:1-0. [DOI:10.1186/s40644-019-0240-6]
15. Martin HE, Ellis EB. Biopsy by needle puncture and aspiration. Annals of surgery. 1930 Aug;92(2):169. [DOI:10.1097/00000658-193008000-00002]
16. Cox JE, Chiles C, McManus CM, Aquino SL, Choplin RH. Transthoracic needle aspiration biopsy: variables that affect risk of pneumothorax. Radiology. 1999 Jul;212(1):165-8. [DOI:10.1148/radiology.212.1.r99jl33165]
17. Wagnetz U, Menezes RJ, Boerner S, Paul NS, Wagnetz D, Keshavjee S, Roberts HC. CT screening for lung cancer: implication of lung biopsy recommendations. American Journal of Roentgenology. 2012 Feb;198(2):351-8. [DOI:10.2214/AJR.11.6726]
18. Layfield LJ, Coogan A, Johnston WW, Patz EF. Transthoracic fine needle aspiration biopsy. Acta cytologica. 1996;40(4):687-90. [DOI:10.1159/000333940]
19. Shah S, Shukla K, Patel P. Role of fine needle aspiration cytology in diagnosis of lung tumours-a study of 100 cases. Indian Journal of Pathology and Microbiology. 2007 Jan 1;50(1):56-8.

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