ISSN : 1301-5680
e-ISSN : 2149-8156
Turkish Journal of Thoracic and Cardiovascular Surgery     
Is positron emission tomography/computed tomography useful for interpreting the lung cancer subtype according to the localization
Rasih Yazkan1, Sevim Süreyya Çerçi2, Kadir Çeviker3, Mustafa Yıldız2
1Departments of Thoracic Surgery, Medical Faculty of Süleyman Demirel University, Isparta, Turkey
2Departments of Nuclear Medicine, Medical Faculty of Süleyman Demirel University, Isparta, Turkey
3Departments of Cardiovascular Surgery, Medical Faculty of Süleyman Demirel University, Isparta, Turkey
DOI : 10.5606/tgkdc.dergisi.2016.10890
Background: This study aims to investigate the relationship between histopathological subtypes, anatomical distribution, and maximum standardized uptake value of lung cancer in positron emission tomography/computed tomography.

Methods: A total of 281 lung cancer patients (258 males, 23 females; mean age 65.7±10.0 years, range 37 to 87 years) with invasive and/or noninvasive diagnostic findings were retrospectively evaluated between May 2011 and June 2014. Distributions of histopathological subtypes and the maximum standardized uptake values of lung cancer were evaluated according to the primary tumor localization.

Results: We detected that maximum standardized uptake values of squamous cell carcinoma were significantly higher compared to adenocarcinoma in tumors localized in right upper lobe, left upper lobe, left lower lobe, right main bronchus, and left main bronchus (p<0.05).

Conclusion: Although the definitive diagnosis of lung cancer is established by histopathological analysis, positron emission tomography/computed tomography evaluation may help to interpret various histopathological subtypes according to maximum standardized uptake values in some localizations. To our knowledge, this is the first study regarding the usefulness of positron emission tomography/ computed tomography in interpreting lung cancer subtypes according to the localization. Further clinical studies are required to shed light on this issue.

Keywords : Cancer; lung; positron emission tomography
Viewed : 7000
Downloaded : 1365