The Journal of the Arkansas Medical Society Issue 9 Vol 114 | Page 21

5. McWilliams A, Tammemagi MC, Mayo JR, Roberts H, Liu G, Soghrati K, et al. Probability of cancer in pulmonary nodules detected on first screening CT. N. Engl. J. Med. 2013; 369: 910–9. 6. Centers for Disease Control and Preven- tion (CDC) - Indicator Definition - Disability and Health Data System (DHDS) - NCBDDD [Internet]. Updated: November 30, 2015. Available from: http://dhds.cdc.gov/guides/ healthtopics/indicator?I=smokingstatus Ac- cessed: December 20, 2015. 7. Henschke CI, Yankelevitz DF, Naidich DP, Mc- Cauley DI, McGuinness G, Libby DM, et al. CT screening for lung cancer: suspiciousness of nodules according to size on baseline scans. Radiology 2004; 231: 164–8. Figure 1c. Solitary fibrous tumor: One 20x field shows the classic “patternless pattern” architecture. There are alternating hypocellular and hypercellular areas formed by bland and uniform oval to spindle cells in haphazard storiform –like arrangements. On low power (4x) the classic “staghorn-shaped” vessels (arrow heads) are scattered throughout the bland, fibroblastic cells which are intermixed with thick, hyalinized, brightly eosinophilic collagen bands (arrow). [H&E] support a trial of antifungal therapy for “granulo- matous inflammation without a definitive diagno- sis” despite absence of fungal elements on staining and culture.  Several limitations of our study need to be acknowledged. Being a single-center retrospective analysis, our data and power was limited; possi- bly undermining few CT features that might also predict an increased risk of malignancy in a mass. The data available to us was only from transtho- racic or EBUS guided needle aspirations. Finally, our center is in the endemic area for fungal infections such as histoplasmosis and blastomycosis, which can explain a higher rate of infectious processes. However, it is important to note that HIV prevalence is lower in Arkansas compared to the national aver- age, and no lung mass in our study was caused by an opportunistic infection.  Conclusion and future directions Our study indicates that even though lung cancer is the most common pathology found in lung masses, its prevalence among such masses is considerably lower now as compared to the stud- ies from the past. Certain CT features can predict an increased risk of lung cancer in a mass. Future studies should be aimed at developing evidence- based guidelines to improve accuracy of sampling techniques and minimizing repeat sampling proce- dures whenever possible. This study underscores a need for a large-scale reevaluation of the state- ment “a lung mass is almost always malignant,” given that one of the major causal factors (smok- ing) is declining in prevalence. REFERENCES 1. Gould MK, Fletcher J, Iannettoni MD, Lynch WR, Midthun DE, Naidich DP, et al. Evaluation of patients with pulmonary nodules: when is it lung cancer?: American College of Chest Phy- sicians evidence-based clinical practice guide- lines, 2 nd ed. Chest 2007; 132: 108S – 130S. 2. Murrmann GB, van Vollenhoven FHM, Mood- ley L. Approach to a solid solitary pulmonary nodule in two different settings—“Common is common, rare is rare.” J. Thorac. Dis. 2014; 6: 237–48. 3. Siegelman SS, Khouri NF, Leo FP, Fishman EK, Braverman RM, Zerhouni EA. Solitary pulmo- nary nodules: CT assessment. Radiology 1986; 160: 307–12. 4. Zerhouni EA, Stitik FP, Siegelman SS, Naidich DP, Sagel SS, Proto A V, et al. CT of the pul- monary nodule: a cooperative study. Radiology 1986; 160: 319–27. 8. Patel VK, Naik SK, Naidich DP, Travis WD, Wein - garten JA, Lazzaro R, et al. A practical algorith- mic approach to the diagnosis and manage- ment of solitary pulmonary nodules: part 1: radiologic characteristics and imaging modali- ties. Chest 2013; 143: 825–39. 9. Centers for Disease Control and Prevention (CDC)-Trends in Current Cigarette Smok- ing Among High School Students and Adults, United States. Updated: November 14, 2013. Available from: http://www.cdc.gov/tobacco/ data_statistics/tables/trends/cig_smoking/ Accessed: December 20, 2015 10. Franquet T, Müller NL, Giménez A, Martínez S, Madrid M, Domingo P. Infectious pulmonary nodules in immunocompromised patients: usefulness of computed tomography in pre- dicting their etiology. J. Comput. Assist. To- mogr. 2003; 27: 461–8. Contact AMS for a complete list of references. LIST OF ABBREVIATIONS CT: computed tomography SPN: solitary pulmonary nodule IRB: Institutional Review Board TTNA: transthoracic needle aspiration EBUS-TBNA: endobronchial ultrasound-guided transbronchial needle aspiration IQR: Interquartile range CI: confidence interval HIV: human immunodeficiency virus FNA: fine needle aspiration PET: positron emission tomography NPV: negative predictive value NUMBER 9 MARCH 2018 • 213