Management of pulmonary nodules by community pulmonologists a multicenter observational study

Chest

Volumn 148, Issue 6, 2015, Pages 1405-1414

  Tanner, Nichole T ^a,b   Aggarwal, Jyoti ^c   Gould, Michael K ^d   Kearney, Paul ^e   Diette, Gregory ^f   Vachani, Anil ^g   Fang, Kenneth C ^e   Silvestri, Gerard A ^a  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b RALPH H JOHNSON VA MEDICAL CENTER   (United States)

^c Boston Healthcare Associates   (United States)

^d KAISER PERMANENTE   (United States)

^e Integrated Diagnostics   (United States)

^f JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^g UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; BRONCHOSCOPY; CANCER RISK; CONTROLLED STUDY; DIFFERENTIAL DIAGNOSIS; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FEMALE; HUMAN; LUNG BIOPSY; LUNG CANCER; LUNG NODULE; LUNG SURGERY; MAJOR CLINICAL STUDY; MALE; MEDICAL RECORD REVIEW; MULTICENTER STUDY (TOPIC); OBSERVATIONAL STUDY; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; SMOKING; CLINICAL TRIAL; DISEASE MANAGEMENT; LUNG NEOPLASMS; MIDDLE AGED; MULTICENTER STUDY; MULTIPLE PULMONARY NODULES; PATHOLOGY; PREVALENCE; PROBABILITY; PROCEDURES; RISK ASSESSMENT; SOLITARY PULMONARY NODULE; STATISTICS AND NUMERICAL DATA; UNITED STATES; UNNECESSARY PROCEDURE; VERY ELDERLY; X-RAY COMPUTED TOMOGRAPHY;

ADULT; AGED; AGED, 80 AND OVER; DISEASE MANAGEMENT; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; MULTIPLE PULMONARY NODULES; POSITRON-EMISSION TOMOGRAPHY; PREVALENCE; PROBABILITY; RISK ASSESSMENT; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED; UNITED STATES; UNNECESSARY PROCEDURES;

EID: 84947507122     PISSN: 00123692     EISSN: 19313543     Source Type: Journal    
DOI: 10.1378/chest.15-0630     Document Type: Article

References (35)

1. Kanne JP, Jensen LE, Mohammed TL, et al; Expert Panel on Thoracic Imaging. ACR appropriateness Criteria® radiograph-ically detected solitary pulmonary nodule. J Thorac Imaging. 2013;28(1):W1-3.
2. Ost D, Fein AM, Feinsilver SH. Clinical practice. The solitary pulmonary nodule. N Engl J Med. 2003;348(25):2535-2542.
3. Smith-Bindman R, Miglioretti DL, Johnson E, et al. Use of diagnostic imaging studies and associated radiation exposure for patients enrolled in large integrated health care systems, 1996-2010. JAMA. 2012;307(22):2400-2409.
4. Lehto RH. Identifying primary concerns in patients newly diagnosed with lung cancer. Oncol Nurs Forum. 2011;38(4): 440-447.
5. Ma J, Ward EM, Smith R, Jemal A. Annual number of lung cancer deaths potentially avertable by screening in the United States. Cancer. 2013;119(7):1381-1385.
6. Swensen SJ, Jett JR, Hartman TE, et al. CT screening for lung cancer: five-year prospective experience. Radiology. 2005; 235(1):259-265.
7. MacMahon H, Austin JH, Gamsu G, et al. Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society. Radiology. 2005;237(2):395-400.
8. Gould MK, Donington J, Lynch WR, et al. Evaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2013;143(5-suppl): e93S-120S.
9. Swensen SJ, Silverstein MD, Ilstrup DM, Schleck CD, Edell ES. The probability of malignancy in solitary pulmonary nod ules. Application to small radiologically indeterminate nodules. Arch Intern Med. 1997;157(8):849-855.
10. Gould MK, Ananth L, Barnett PG; Veterans Affairs SNAP Cooperative Study Group. A clinical model to estimate the pretest probability of lung cancer in patients with solitary pulmonary nodules. Chest. 2007;131(2):383-388.
11. Schultz EM, Sanders GD, Trotter PR, et al. Validation of two models to estimate the probability of malignancy in patients with solitary pulmonary nodules. Thorax. 2008;63(4):335-341.
12. McWilliams A, Tammemagi MC, Mayo JR, et al. Probability of cancer in pulmonary nodules detected on first screening CT. N Engl J Med. 2013;369(10):910-919.
13. Aberle DR, Adams AM, Berg CD, et al; National Lung Screening Trial Research Team. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011;365(5):395-409.
14. Smith MA, Battafarano RJ, Meyers BF, Zoole JB, Cooper JD, Patterson GA. Prevalence of benign disease in patients undergoing resection for suspected lung cancer. Ann Thorac Surg. 2006;81(5): 1824-1828.
15. Grogan EL, Deppen SA, Ballman KV, et al. Accuracy of fluorodeoxyglucose-positron emission tomography within the clinical practice of the American College of Surgeons Oncology Group Z4031 trial to diagnose clinical stage I non-small cell lung cancer. Ann Thorac Surg. 2014; 97(4):1142-1148.
16. Ost DE, Gould MK. Decision making in patients with pulmonary nodules. Am J Respir Crit Care Med. 2012;185(4):363-372.
17. Danforth KN, Early MI, Ngan S, Kosco AE, Zheng C, Gould MK. Automated identification of patients with pulmonary nodules in an integrated health system using administrative health plan data, radiology reports, and natural language processing. J Thorac Oncol. 2012;7(8):1257-1262.
18. Grogan EL, Weinstein JJ, Deppen SA, et al. Thoracic operations for pulmonary nodules are frequently not futile in patients with benign disease. J Thorac Oncol. 2011;6(10):1720-1725.
19. Birkmeyer JD, Reames BN, McCulloch P, Carr AJ, Campbell WB, Wennberg JE. Understanding of regional variation in the use of surgery. Lancet. 2013; 382 (9898): 1121-1129.
20. Cronin P, Dwamena BA, Kelly AM, Carlos RC. Solitary pulmonary nodules: meta-analytic comparison of cross-sectional imaging modalities for diagnosis of malignancy. Radiology. 2008; 246(3):772-782.
21. Grgic A, Yüksel Y, Gröschel A, et al. Risk stratification of solitary pulmonary nodules by means of PET using (18)F-f uorodeoxyglucose and SUV quantification. Eur J Nucl Med Mol Imaging. 2010;37(6):1087-1094.
22. Kagna O, Solomonov A, Keidar Z, et al. The value of FDG-PET/CT in assessing single pulmonary nodules in patients at high risk of lung cancer. Eur J Nucl Med Mol Imaging. 2009;36(6):997-1004.
23. Mizugaki H, Shinagawa N, Kanegae K, et al. Combining transbronchial biopsy using endobronchial ultrasonography with a guide sheath and positron emission tomography for the diagnosis of small peripheral pulmonary lesions. Lung Cancer. 2010;68(2):211-215.
24. Mori T, Nomori H, Ikeda K, et al. Diffusion-weighted magnetic resonance imaging for diagnosing malignant pulmonary nodules/masses: comparison with positron emission tomography. J Thorac Oncol. 2008;3(4):358-364.
25. Ohba Y, Nomori H, Mori T, et al. Is Diffusion-weighted magnetic resonance imaging superior to positron emission tomography with fludeoxyglucose F 18 in imaging non-small cell lung cancer? J Thorac Cardiovasc Surg. 2009;138(2): 439-445.
26. Ohba Y, Nomori H, Mori T, Shiraishi K, Namimoto T, Katahira K. Diffusion-weighted magnetic resonance for pulmonary nodules: 1.5 vs. 3 Tesla. Asian Cardiovasc Thorac Ann. 2011;19(2): 108-114.
27. Wiener RS, Gould MK, Woloshin S, Schwartz LM, Clark JA. What do you mean, a spot? A qualitative analysis of patients' reactions to discussions with their physicians about pulmonary nodules. Chest. 2013;143(3):672-677.
28. van Klaveren RJ, Oudkerk M, Prokop M, et al. Management of lung nodules detected by volume CT scanning. N Engl J Med. 2009;361(23):2221-2229.
29. Mehta HJ, Ravenel JG, Shafman SR, et al. The utility of nodule volume in the context of malignancy prediction for small pulmonary nodules. Chest. 2014;145(3):464-472.
30. Li XJ, Hayward C, Fong PY, et al. A blood-based proteomic classifier for the molecular characterization of pulmonary nodules. Sci Transl Med. 2013;5(207):207ra142.
31. Pecot CV, Li M, Zhang XJ, et al. Added value of a serum proteomic signature in the diagnostic evaluation of lung nodules. Cancer Epidemiol Biomarkers Prev. 2012;21(5):786-792.
32. Mazzone PJ. Analysis of volatile organic compounds in the exhaled breath for the diagnosis of lung cancer. J Thorac Oncol. 2008;3(7):774-780.
33. Spira A, Beane JE, Shah V, et al. Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer. Nat Med. 2007; 13 (3): 361-366.
34. Bianchi F, Nicassio F, Marzi M, et al. A serum circulating miRNA diagnostic test to identify asymptomatic high-risk individuals with early stage lung cancer. EMBO Mol Med. 2011;3(8):495-503.
35. Chapman CJ, Healey GF, Murray A, et al. EarlyCDT®-Lung test: improved clinical utility through additional autoantibody assays. Tumour Biol. 2012;33(5):1319-1326.