Pulmonary nodule detection, characterization, and management with multidetector computed tomography

Journal of Thoracic Imaging

Volumn 26, Issue 2, 2011, Pages 90-105

  Brandman, Scott ^a   Ko, Jane P ^a  

^a NEW YORK UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

computer aided diagnosis; dual energy; management; Pulmonary nodule; volume

Indexed keywords

CONTRAST MEDIUM; FLUORODEOXYGLUCOSE F 18;

CANCER DIAGNOSIS; COMPUTER ANALYSIS; CONFERENCE PAPER; CONTRAST ENHANCEMENT; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; FALSE NEGATIVE RESULT; HUMAN; IMAGE PROCESSING; LUNG CANCER; LUNG INFECTION; LUNG MALFORMATION; LUNG NODULE; LUNG SCINTISCANNING; MULTIDETECTOR COMPUTED TOMOGRAPHY; PNEUMONIA; POSITRON EMISSION TOMOGRAPHY; RISK ASSESSMENT; RISK BENEFIT ANALYSIS; RISK FACTOR; RISK MANAGEMENT; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY; TISSUE STRUCTURE; TUMOR VOLUME;

CONTRAST MEDIA; HUMANS; LUNG NEOPLASMS; NEOPLASM STAGING; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 79955565583     PISSN: 08835993     EISSN: 15360237     Source Type: Journal    
DOI: 10.1097/RTI.0b013e31821639a9     Document Type: Conference Paper

References (123)

1. Altekruse SF, Kosary CL, Krapcho M, et al. SEER Cancer Statistics Review, 1975-2007. National Cancer Institute: Bethesda, MD. http://seer.cancer.gov/csr/ 1975-2007/, based on November 2009 SEER data submission. Posted to the SEER web site, 2010.
2. Gould MK, Maclean CC, Kuschner WG, et al. Accuracy of positron emission tomography for diagnosis of pulmonary nodules and mass lesions: a meta-analysis. JAMA. 2001; 285:914-924. (Pubitemid 32171553)
3. Shah PK, Austin JH, White CS, et al. Missed non-small cell lung cancer: radiographic findings of potentially resectable lesions evident only in retrospect. Radiology. 2003;226: 235-241. (Pubitemid 36163935)
4. Austin JH, Romney BM, Goldsmith LS. Missed bronchogenic carcinoma: radiographic findings in 27 patients with a potentially resectable lesion evident in retrospect. Radiology. 1992;182:115-122.
5. Gurney JW. Missed lung cancer at CT: imaging findings in nine patients. Radiology. 1996;199:117-122. (Pubitemid 26095824)
6. White CS, Romney BM, Mason AC, et al. Primary carcinoma of the lung overlooked at CT: analysis of findings in 14 patients. Radiology. 1996;199:109-115. (Pubitemid 26095823)
7. Ko JP, Rusinek H, Naidich DP, et al. Wavelet compression of low-dose chest CT data: effect on lung nodule detection. Radiology. 2003;228:70-75. (Pubitemid 36736071)
8. Kakinuma R, Ohmatsu H, Kaneko M, et al. Detection failures in spiral CT screening for lung cancer: analysis of CT findings. Radiology. 1999;212:61-66. (Pubitemid 29302512)
9. Fischbach F, Knollman F, Griesshaber V, et al. Detection of pulmonary nodules by multislice computed tomography: improved detection rate with reduced slice thickness. Eur Radiol. 2003;13:2378-2383. (Pubitemid 37220375)
10. Diederich S, Semik M, Lentschig MG, et al. Helical CT of pulmonary nodules in patients with extrathoracic malignancy: CT-surgical correlation. AJR Am J Roentgenol. 1999;172: 353-360. (Pubitemid 29082643)
11. Rubin G. Data explosion: the challenge of multidetector row CT. Eur J Radiol. 2000;36:74-80.
12. Sakai M, Murayama S, Gibo M, et al. Can Maximum Intensity Projection Images With Multidetector-Row Computed Tomography Help to Differentiate Between the Micronodular Distribution of Focal and Diffuse Infiltrative Lung Diseases? J Comput Assist Tomogr. 2005;29:588-591. (Pubitemid 41395768)
13. Gruden JF, Ouanounou S, Tigges S, et al. Incremental benefit of maximum-intensity-projection images on observer detection of small pulmonary nodules revealed by multidetector CT. AJR Am J Roentgenol. 2002;179:149-157. (Pubitemid 34694828)
14. Park EA, Goo JM, Lee JW, et al. Efficacy of computer-aided detection system and thin-slab maximum intensity projection technique in the detection of pulmonary nodules in patients with resected metastases. Invest Radiol. 2009;44:105-113.
15. Valencia R, Denecke T, Lehmkuhl L, et al. Value of axial and coronal maximum intensity projection (MIP) images in the detection of pulmonary nodules by multislice spiral CT: comparison with axial 1-mm and 5-mm slices. Eur Radiol. 2006;16:325-332. (Pubitemid 43149631)
16. Brown MS, Goldin JG, Suh RD, et al. Lung micronodules: automated method for detection at thin-section CT-initial experience. Radiology. 2003;226:256-262. (Pubitemid 36163938)
17. Rubin GD, Lyo JK, Paik DS, et al. Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection. Radiology. 2005; 234:274-283. (Pubitemid 39658396)
18. White CS, Pugatch R, Koonce T, et al. Lung nodule CAD software as a second reader: a multicenter study. Acad Radiol. 2008;15:326-333. (Pubitemid 351232248)
19. Das M, Muhlenbruch G, Mahnken AH, et al. Small pulmonary nodules: effect of two computer-aided detection systems on radiologist performance. Radiology. 2006;241: 564-571. (Pubitemid 44632904)
20. Sahiner B, Chan HP, Hadjiiski LM, et al. Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size. Acad Radiol. 2009;16:1518-1530.
21. Nietert PJ, Ravenel JG, Taylor KK, et al. Influence of nodule detection software on radiologists' confidence in identifying pulmonary nodules with computed tomography. J Thorac Imaging. 2010;26:48-53.
22. Zhou J, Chang S, Metaxas DN, et al. Automatic detection and segmentation of ground glass opacity nodules. Med Image Comput Comput Assist Interv. 2006;9(Pt 1):784-791. (Pubitemid 44609177)
23. Bastawrous HA, Nitta N, Tsudagawa M. A new CAD system for detecting localized ground glass opacity nodules in lung CT images using cross and coronary section images, in IEEE International Workshop on Medical Measurement and Applications (MeMea). Benevento, Italy. 2006:4-4.
24. Ye X, Lin X, Beddoe G, et al. Efficient computer-aided detection of ground-glass opacity nodules in thoracic CT images. Conf Proc IEEE Eng Med Biol Soc. 2007;2007: 4449-4452.
25. Ye X, Lin X, Dehmeshki J, et al. Shape-based computeraided detection of lung nodules in thoracic CT images. IEEE Trans Biomed Eng. 2009;56:1810-1820.
26. Yanagawa M, Honda O, Yoshida S, et al. Commercially available computer-aided detection system for pulmonary nodules on thin-section images using 64 detectors-row CT: preliminary study of 48 cases. Acad Radiol. 2009;16:924-933.
27. Beigelman-Aubry C, Hill C, Boulanger X, et al. Evaluation of a computer aided detection system for lung nodules with ground glass opacity component on multidetector-row CT. J Radiol. 2009;90:1843-1849.
28. Betke M, Hong H, Thomas D, et al. Landmark detection in the chest and registration of lung surfaces with an application to nodule registration. Med Image Anal. 2003;7:265-281. (Pubitemid 37086637)
29. Sun S, Rubin GD, Paik D, et al. Registration of lung nodules using a semi-rigid model: method and preliminary results. Med Phys. 2007;34:613-626. (Pubitemid 46185141)
30. Tao C, Gierada DS, Zhu F, et al. Automated matching of pulmonary nodules: evaluation in serial screening chest CT. American Journal of Roentgenology. 2009;192:624-628.
31. Lee KW, Kim M, Gierada DS, et al. Performance of a computer-aided program for automated matching of metastatic pulmonary nodules detected on follow-up chest CT. AJR Am J Roentgenol. 2007;189:1077-1081. (Pubitemid 350032994)
32. Beyer F, Wormanns D, Novak C, et al. Clinical evaluation of a software for automated localization of lung nodules at follow-up CT examinations. Rofo. 2004;176:829-836. (Pubitemid 38833012)
33. Ost D, Fein AM, Feinsilver SH. Clinical practice: the solitary pulmonary nodule. N Engl J Med. 2003;348:2535-2542. (Pubitemid 36712195)
34. Gould MK, Fletcher J, Iannettoni MD, et al. Evaluation of patients with pulmonary nodules: when is it lung cancer? ACCP evidence-based clinical practice guidelines (2nd edition). Chest. 2007;132(3-suppl):108S-130S. (Pubitemid 47502803)
35. Wahidi MM, Govert JA, Goudar RK, et al. Evidence for the treatment of patients with pulmonary nodules: when is it lung cancer? ACCP evidence-based clinical practice guidelines (2nd edition). Chest. 2007;132(3 suppl):94S-107S. (Pubitemid 47502802)
36. Libby DM, Smith JP, Altorki NK, et al. Managing the small pulmonary nodule discovered by CT. Chest. 2004;125: 1522-1529. (Pubitemid 38501373)
37. Travis WD. Pathology of lung cancer. Clin Chest Med. 2002; 23:65-81, viii. (Pubitemid 34207764)
38. Gephardt GN, Grady KJ, Ahmad M, et al. Peripheral small cell undifferentiated carcinoma of the lung: clinicopathologic features of 17 cases. Cancer. 1988;61:1002-1008. (Pubitemid 18058615)
39. Chong S, Lee KS, Chung MJ, et al. Neuroendocrine tumors of the lung: clinical, pathologic, and imaging findings. Radiographics. 2006;26:41-57.
40. Rosado de Christenson ML, Abbott GF, Kirejczyk WM, et al. From the Archives of the AFIP. Thoracic Carcinoids: Radiologic-Pathologic Correlation. Radiographics. 1999;19: 707-736.
41. Cordier JF, Valeyre D, Guillevin L, et al. Pulmonary Wegener's granulomatosis: a clinical and imaging study of 77 cases. Chest. 1990;97:906-912. (Pubitemid 20132316)
42. Ginsberg MS, Griff SK, Go BD, et al. Pulmonary nodules resected at video-assisted thoracoscopic surgery: etiology in 426 patients. Radiology. 1999;213:277-282. (Pubitemid 29470438)
43. Maldonado JA, Henry T, Gutiérrez FR. Congenital thoracic vascular anomalies. Radiol Clin N Am. 2010;48:85-115.
44. Henschke CI, McCauley DI, Yankelevitz DF, et al. Early Lung Cancer Action Project: overall design and findings from baseline screening. Lancet. 1999;354:99-105. (Pubitemid 29313143)
45. Ginsberg MS, Griff SK, Go BD, et al. Pulmonary nodules resected at video-assisted thoracoscopic surgery: etiology in 426 patients. Radiology. 1999;213:277-282. (Pubitemid 29470438)
46. 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;237:395-400. (Pubitemid 41507873)
47. Kim HY, Shim YM, Lee KS, et al. Persistent pulmonary nodular ground-glass opacity at thin-section CT: histopathologic comparisons. Radiology. 2007;245:267-275.
48. Aoki T, Watanabe H, Nakamura K, et al. Evolution of peripheral lung adenocarcinomas: CT findings correlated with histology and tumor doubling time. AJR Am J Roentgenol. 2000;174:763-768. (Pubitemid 30126259)
49. Oda S, Awai K, Liu D, et al. Ground-glass opacities on thinsection helical CT: differentiation between bronchioloalveolar carcinoma and atypical adenomatous hyperplasia. AJR Am J Roentgenol. 2008;190:1363-1368. (Pubitemid 351684900)
50. Kakinuma R, Ohmatsu H, Kaneko M, et al. Progression of focal pure ground-glass opacity detected by low-dose helical computed tomography screening for lung cancer. J Comput Assist Tomogr. 2004;28:17-23. (Pubitemid 38057850)
51. Travis WD, Brambilla E, Noguchi M, et al. International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Classification of Lung Adenocarcinoma. J Thorac Oncol. 2011;6:244-285.
52. Grewal RG, Austin JH. CT demonstration of calcification in carcinoma of the lung. J Comput Assist Tomogr. 1994;18:867-871. (Pubitemid 24346624)
53. Mahoney M, Shipley RT, Corcoran HL, et al. CT demonstration of calcification in carcinoma of the lung. Am J Roentgenol. 1990;154:255-258. (Pubitemid 20045249)
54. Siegelman SS, Khouri NF, Leo FP, et al. Solitary pulmonary nodules: CT assessment. Radiology. 1986;160:307-312. (Pubitemid 16070631)
55. Siegelman SS, Zerhouni EA, Leo FP, et al. CT of the solitary pulmonary nodule. AJR Am J Roentgenol. 1980;135:1-13. (Pubitemid 10073002)
56. Xu DM, van Klaveren RJ, de Bock GH, et al. Limited value of shape, margin and CT density in the discrimination between benign and malignant screen detected solid pulmonary nodules of the NELSON trial. Eur J Radiol. 2008; 68:347-352.
57. Xu DM, van der Zaag-Loonen HJ, Oudkerk M, et al. Smooth or attached solid indeterminate nodules detected at baseline CT screening in the NELSON study: cancer risk during 1 year of follow-up. Radiology. 2009;250:264-272.
58. Gurney JW, Lyddon DM, McKay JA. Determining the likelihood of malignancy in solitary pulmonary nodules with Bayesian analysis. Part II. Application. Radiology. 1993;186: 415-422. (Pubitemid 23033865)
59. Lee YR, Choi YW, Lee KJ, et al. CT halo sign: the spectrum of pulmonary diseases. Br J Radiol. 2005;78:862-865. (Pubitemid 41246161)
60. Kim SJ, Lee KS, Ryu YH, et al. Reversed halo sign on highresolution CT of cryptogenic organizing pneumonia: diagnostic implications. Am J Roentgenol. 2003;180:1251-1254. (Pubitemid 36504610)
61. Lee KS, Kim Y, Han J, et al. Bronchioloalveolar carcinoma: clinical, histopathologic, and radiologic findings. Radiographics. 1997;17:1345-1357. (Pubitemid 127466059)
62. Woodring J, Fried A, Chuang V. Solitary cavities of the lung: diagnostic implications of cavity wall thickness. Am J Roentgenol. 1980;135:1269-1271. (Pubitemid 11254138)
63. Honda O, Tsubamoto M, Inoue A, et al. Pulmonary cavitary nodules on computed tomography: differentiation of malignancy and benignancy. J Comput Assist Tomogr. 2007;31: 943-949. (Pubitemid 350196942)
64. Byers TE, Vena JE, Rzepka TF. Predilection of lung cancer for the upper lobes: an epidemiologic inquiry. J Natl Cancer Inst. 1984;72:1271-1275. (Pubitemid 14124251)
65. Ahn MI, Gleeson TG, Chan IH, et al. Perifissural nodules seen at CT screening for lung cancer. Radiology. 2010;254:949-956.
66. Way TW, Sahiner B, Chan HP, et al. Computer-aided diagnosis of pulmonary nodules on CT scans: improvement of classification performance with nodule surface features. Med Phys. 2009;36:3086-3098.
67. Iwano S, Nakamura T, Kamioka Y, et al. Computer-aided differentiation of malignant from benign solitary pulmonary nodules imaged by high-resolution CT. Comput Med Imaging Graph. 2008;32:416-422.
68. Revel MP, Bissery A, Bienvenu M, et al. Are two-dimensional CT measurements of small noncalcified pulmonary nodules reliable? Radiology. 2004;231:453-458. (Pubitemid 38552904)
69. Yankelevitz DF, Reeves AP, Kostis WJ, et al. Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation. Radiology. 2000;217:251-256. (Pubitemid 33097610)
70. Schwartz LH, Ginsberg MS, DeCorato D, et al. Evaluation of tumor measurements in oncology: use of film-based and electronic techniques. J Clin Oncol. 2000;18:2179-2184. (Pubitemid 30324371)
71. Yankelevitz DF, Gupta R, Zhao B, et al. Small pulmonary nodules: evaluation with repeat CT-preliminary experience. Radiology. 1999;212:561-566. (Pubitemid 29356581)
72. Marchiano A, Calabro E, Civelli E, et al., Pulmonary nodules: volume repeatability at multidetector CT lung cancer screening. Radiology. 2009;251:919-925.
73. De Hoop B, Gietema H, van Ginneken B, et al. A comparison of six software packages for evaluation of solid lung nodules using semi-automated volumetry: what is the minimum increase in size to detect growth in repeated CT examinations. Eur Radiol. 2008;19:800-808.
74. Petkovska I, Brown MS, Goldin JG, et al. The effect of lung volume on nodule size on CT. Acad Radiol. 2007;14:476-485. (Pubitemid 46401415)
75. Gietema HA, Schaefer-Prokop CM, Mali WP, et al. Pulmonary nodules: Interscan variability of semiautomated volume measurements with multisection CT-influence of inspiration level, nodule size, and segmentation performance. Radiology. 2007;245:888-894.
76. Boll DT, Gilkeson RC, Fleiter TR, et al. Volumetric assessment of pulmonary nodules with ECG-gated MDCT. AJR Am J Roentgenol. 2004;183:1217-1223. (Pubitemid 44210578)
77. Gietema HA, Wang Y, Xu D, et al. Pulmonary nodules detected at lung cancer screening: interobserver variability of semiautomated volume measurements. Radiology. 2006;241: 251-257. (Pubitemid 44433358)
78. Wang Y, de Bock GH, van Klaveren RJ, et al. Volumetric measurement of pulmonary nodules at low-dose chest CT: effect of reconstruction setting on measurement variability. Eur Radiol. 2010;20:1180-1187.
79. Ko JP, Marcus R, Bomsztyk E, et al. Effect of blood vessels on measurement of nodule volume in a chest phantom. Radiology. 2006;239:79-85.
80. Rampinelli C, De Fiori E, Raimondi S, et al. In vivo repeatability of automated volume calculations of small pulmonary nodules with CT. AJR Am J Roentgenol. 2009; 192:1657-1661.
81. Hein PA, Romano VC, Rogalla P, et al. Variability of semiautomated lung nodule volumetry on ultralow-dose CT: comparison with nodule volumetry on standard-dose CT. J Digit Imaging. 2008;23:8-17.
82. Hein PA, Romano VC, Rogalla P, et al. Linear and volume measurements of pulmonary nodules at different CT dose levels-intrascan and interscan analysis. RoFo. 2009;181:24-31.
83. Rampinelli C, Raimondi S, Padrenostro M, et al. Pulmonary nodules: contrast-enhanced volumetric variation at different CT scan delays. AJR Am J Roentgenol. 2010;195:149-154.
84. Oda S, Awai K, Murao K, et al. Computer-aided volumetry of pulmonary nodules exhibiting ground-glass opacity at MDCT. AJR Am J Roentgenol. 2010;194:398-406.
85. Iwano S, Okada T, Koike W, et al. Semi-automatic volumetric measurement of lung cancer using multi-detector CT effects of nodule characteristics. Acad Radiol. 2009; 16:1179-1186.
86. Marchiano A, Calabro E, Civelli E, et al. Pulmonary nodules: volume repeatability at multidetector CT lung cancer screening. Radiology. 2009;251:919-925.
87. Rampinelli C, De Fiori E, Raimondi S, et al. In vivo repeatability of automated volume calculations of small pulmonary nodules with CT. Am J Roentgenol. 2009;192:1657-1661.
88. Nathan MH, Collins VP, Adams RA. Differentiation of benign and malignant pulmonary nodules by growth rate. Radiology. 1962;79:221-232.
89. Collins VP, Loeffler RK, Tivey H. Observations on growth rates of human tumors. Am J Roentgenol. 1956;76:988-1000.
90. Steele JD, Buell P. Asymptomatic solitary pulmonary nodules. Host survival, tumor size, and growth rate. J Thorac Cardiovasc Surg. 1973;65:140-151.
91. Winer-Muram HT, Jennings SG, Tarver RD, et al. Volumetric growth rate of stage I lung cancer prior to treatment: serial CT scanning. Radiology. 2002;223:798-805. (Pubitemid 34547600)
92. Girvin F, Ko J. Pulmonary nodules: detection, assessment, and CAD. Am J Roentgenol. 2008;191:1057-1069.
93. Usuda K, Saito Y, Sagawa M, et al. Tumor doubling time and prognostic assessment of patients with primary lung cancer. Cancer. 1994;74:2239-2244. (Pubitemid 24322277)
94. Yankelevitz D, Henschke C. Does 2-year stability imply that pulmonary nodules are benign? Am J Roentgenol. 1997;168:325-328. (Pubitemid 27051954)
95. Xu DM, van Klaveren RJ, de Bock GH, et al. Role of baseline nodule density and changes in density and nodule features in the discrimination between benign and malignant solid indeterminate pulmonary nodules. Eur J Radiol. 2009; 70:492-498.
96. De Hoop B, Gietema H, van de Vorst S, et al. Pulmonary ground-glass nodules: increase in mass as an early indicator of growth. Radiology. 2010;255:199-206.
97. Vansteenkiste JF, Stroobants SS. PET scan in lung cancer: current recommendations and innovation. J Thorac Oncol. 2006;1:71-73. (Pubitemid 47164024)
98. Goudarzi B, Jacene HA, Wahl RL. Diagnosis and differentiation of bronchioloalveolar carcinoma from adenocarcinoma with bronchioloalveolar components with metabolic and anatomic characteristics using PET/CT. J Nucl Med. 2008;49:1585-1592.
99. Erasmus JJ, et al. Evaluation of primary pulmonary carcinoid tumors using FDG PET. AJR Am J Roentgenol. 1998;170: 1369-1373. (Pubitemid 28210961)
100. Swensen SJ, Viggiano RW, Midthun DE, et al. Lung nodule enhancement at CT: multicenter study. Radiology. 2000; 214:73-80. (Pubitemid 30019872)
101. Swensen SJ, Brown LR, Colby TV, et al. Lung nodule enhancement at CT: prospective findings. Radiology. 1996;201:447-455. (Pubitemid 26357642)
102. Yi CA, Lee KS, Kim BT, et al. Tissue characterization of solitary pulmonary nodule: comparative study between helical dynamic CT and integrated PET/CT. J Nucl Med. 2006;47: 443-450. (Pubitemid 46768487)
103. Christensen JA, Nathan MA, Mullan BP, et al. Characterization of the solitary pulmonary nodule: 18F-FDG PET versus nodule-enhancement CT 10.2214/AJR.05.1166. Am J Roentgenol. 2006;187:1361-1367. (Pubitemid 44630846)
104. Yi CA, Lee KS, Kim EA, et al. Solitary pulmonary nodules: dynamic enhanced multi-detector row CT study and comparison with vascular endothelial growth factor and microvessel density. Radiology. 2004;233:191-199. (Pubitemid 39280974)
105. Li Y, Yang ZG, Chen TW, et al. First-pass perfusion imaging of solitary pulmonary nodules with 64-detector row CT: comparison of perfusion parameters of malignant and benign lesions. Br J Radiol. 2010;83:785-790.
106. Petkovska I, Shah SK, McNitt-Gray MF, et al. Pulmonary nodule characterization: a comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement maps. Eur J Radiol. 2006;59:244-252. (Pubitemid 44093162)
107. Tacelli N, Remy-Jardin M, Copin MC, et al. Assessment of non-small cell lung cancer perfusion: pathologic-CT correlation in 15 patients. Radiology. 2010;257:863-871.
108. Johnson TR, Krauss B, Sedlmair M, et al. Material differentiation by dual energy CT: initial experience. Eur Radiol. 2007;17:1510-1517. (Pubitemid 46767599)
109. Remy-Jardin M, Faivre JB, Pontana F, et al. Thoracic applications of dual energy. Radiol Clin N Am. 2009;48: 193-205.
110. Chae EJ, Song JW, Seo JB, et al. Clinical utility of dualenergy CT in the evaluation of solitary pulmonary nodules: initial experience. Radiology. 2008;249:671-681.
111. Kang MJ, Park CM, Lee CH, et al. Dual energy CT: clinical applications in various pulmonary diseases. Radiographics. 2010;30:685-698.
112. Swensen SJ, Silverstein MD, Edell ES, et al. Solitary pulmonary nodules: clinical prediction model versus physicians. Mayo Clin Proc. 1999;74:319-329. (Pubitemid 29162531)
113. Swensen SJ, Silverstein MD, Ilstrup DM, et al. The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules. Arch Intern Med. 1997;157:849-855. (Pubitemid 28337035)
114. Dewan NA, Shehan CJ, Reeb SD, et al. Likelihood of malignancy in a solitary pulmonary nodule: comparison of Bayesian analysis and results of FDG-PET scan. Chest. 1997;112:416-422. (Pubitemid 27349432)
115. Hasegawa M, Sone S, Takashima S, et al. Growth rate of small lung cancers detected on mass CT screening. Br J Radiol. 2000;73:1252-1259. (Pubitemid 32123826)
116. Gould MK, Fletcher J, Iannettoni MD, et al. Evaluation of patients with pulmonary nodules: when is it lung cancer? Chest. 2007;132(3 suppl):108S-130S.
117. Godoy MC, Naidich DP. Subsolid pulmonary nodules and the spectrum of peripheral adenocarcinomas of the lung: recommended interim guidelines for assessment and management. Radiology. 2009;253:606-622.
118. Cummings SR, Lillington GA, Richard RJ. Managing solitary pulmonary nodules. The choice of strategy is a "close call". Am Rev Respir Dis. 1986;134:453-460. (Pubitemid 16014403)
119. Esmaili A, Munden RF, Mohammed TL. Small pulmonary nodule management: a survey of the Members of the Society of Thoracic Radiology with Comparison to the Fleischner Society Guidelines. J Thorac Imaging. 2011;26:27-31.
120. Prosch H, Strasser G, Oschatz E, et al. Management of patients with small pulmonary nodules: a survey of radiologists, pulmonologists, and thoracic surgeons. Am J Roentgenol. 2006;187:143-148. (Pubitemid 46100160)
121. Kim TJ, Lee JH, Lee CT, et al. Diagnostic accuracy of CTguided core biopsy of ground-glass opacity pulmonary lesions. Am J Roentgenol. 2008;190:234-239.
122. Nakata M, Saeki H, Takata I, et al. Focal ground-glass opacity detected by low-dose helical CT. Chest. 2002;121: 1464-1467. (Pubitemid 34499656)
123. Vazquez M, Carter D, Brambilla E, et al. Solitary and multiple resected adenocarcinomas after CT screening for lung cancer: histopathologic features and their prognostic implications. Lung Cancer. 2009;64:148-154.