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Review

Diagnosis and management of solitary pulmonary nodules

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Pages 767-777 | Published online: 09 Jan 2014

References

  • Siegelman SS, Khouri NF, Leo FP, Fishman EK, Braverman RM, Zerhouni EA. Solitary pulmonary nodules: CT assessment. Radiology160(2), 307–312 (1986).
  • Siegelman SS, Zerhouni EA, Leo FP, Khouri NF, Stitik FP. CT of the solitary pulmonary nodule. AJR Am. J. Roentgenol.135, 1–13 (1980).
  • Erasmus JJ, Connolly JE, McAdams HP, Roggli VL. Solitary pulmonary nodules: part I. Morphologic evaluation for differentiation of benign and malignant lesions. Radiographics20, 43–58 (2000).
  • Erasmus JJ, McAdams HP, Connolly JE. Solitary pulmonary nodules: part II. Evaluation of the indeterminate nodule. Radiographics20, 59–66 (2000).
  • Gurney JW. Determining the likelihood of malignancy in solitary pulmonary nodules with Baysian analysis. Part I. Theory. Radiology186, 405–413 (1993).
  • Swensen SJ, Viggiano RW, Midthun DE et al. Lung nodule enhancement at CT: multicenter study. Radiology214, 73–80 (2000).
  • 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. Radiology233, 191–199 (2004).
  • Jeong YJ, Lee KS, Jeong SY et al. Solitary pulmonary nodule: characterization with combined wash-in and washout features at dynamic multi-detector row CT. Radiology237, 675–683 (2005).
  • Ohno Y, Hatabu H, Takenaka D, Adachi S, Kono M, Sugimura K. Solitary pulmonary nodules: potential role of dynamic MR imaging in magement-initial experience. Radiology224, 503–511 (2002).
  • Donmez FY, Yekeler E, Saeidi V, Tunaci A, Tunaci M, Acunas G. Dynamic contrast enhancement patterns of solitary pulmonary nodules on 3D gradient-recalled Echo MRI. AJR Am. J. Roentgenol.189, 1380–1386 (2007).
  • Kim JH, Kim HJ, Lee KH, Kim KH, Lee HL. Solitary pulmonary nodules. A comparative study evaluated with contrast-enhanced dynamic MR imaging and CT. J. Comput. Assist. Tomogr.28, 766–775 (2004).
  • Schaefer JF, Schneider V, Vollmar J et al. Solitary pulmonary nodules: association between signal characteristics in dynamic contrast enhanced MRI and tumor angiogenesis. Lung Cancer53, 39–49 (2006).
  • Schaefer JF, Vollmar J, Schick F et al. Solitary pulmonary nodules: dynamic contrast-enhanced MR imaging-perfusion differences in malignant and benign lesions. Radiology232, 544–553 (2004).
  • Kono R, Fujimoto K, Terasaki H et al. Dynamic MRI of solitary pulmonary nodules: comparison of enhancement patterns of malignant and benign small peripheral lung lesions. AJR Am. J. Roentgenol.188, 26–36 (2007).
  • Fujimoto K. Usefulness of contrast-enhanced magnetic resonance imaging for evaluating solitary pulmonary nodules. Cancer Imaging8, 36–44 (2008).
  • Lowe VJ, Fletcher JW, Gobar L et al. Prospective investigation of positron emission tomography in lung nodules. J. Clin. Oncol.16, 1075–1084 (1998).
  • Henschke CI, Naidich DP, Yankelevitz DF et al. Early lung cancer action project: Initial findings on repeat screenings. Cancer92, 153–159 (2001).
  • Henschke CI, Yankelevitz DF, Mirtcheva R et al. CT screening for lung cancer: frequency and significance of part-solid and nonsolid nodules. AJR Am. J. Roentgenol.178, 1053–1057 (2002).
  • Lee IJ, Gamsu G, Czum J, Wu N, Johnson R, Chakrapani S. Lung nodule detection on chest CT: evaluation of a computer-aided detection (CAD) system. Korean J. Radiol.6, 89–93 (2005).
  • Ko JP, Rusinek H, Naidich DP et al. Wavelet compression of low-dose chest CT data: effect on lung nodule detection. Radiology228, 70–77 (2003).
  • Ko JP, Naidich DP. Computer-aided diagnosis and the evaluation of lung disease. J. Thorac. Imaging19, 136–155 (2004).
  • Doi K. Current status and future potential of computer-aided diagnosis in medical imaging. Br. J. Radiol.78, S3–S19 (2005).
  • Armato SG 3rd, Li F, Giger ML, MacHahon H, Sone S, Doi K. Lung cancer: performance of automated lung nodule detection applied to cancers misses in a CT screening program. Radiology225, 685–692 (2002).
  • Awai K, Urao K, Ozawa et al. Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists’ detection performance. Radiology230, 347–352 (2004).
  • Peldschus K, Herzog P, Wood SA, Cheema JI, Costello P, Schoepf UJ. Computer-aided diagnosis as a second reader: spectrum of findings in CT studies of the chest interpreted as normal. Chest128, 1517–1523 (2005).
  • Rubin GD, Lyo JK, Paik DS et al. Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection. Radiology234, 274–283 (2005).
  • Yuan R, Vos PM, Cooperberg PL. Computer-aided detection in screening CT for pulmonary nodules. AJR Am. J. Roentgenol.186, 1280–1287 (2006).
  • Giger ML, Bae KT, MacMahon H. Computerized detection of pulmonary nodules in computed tomography images. Invest. Radiol.29, 459–465 (1994).
  • Armato SG 3rd, Giger ML, Moran CJ, Blackburn JT, Doi K, MacMahon H. Computerized detection of pulmonary nodules on CT scans. Radiographics19, 1303–1311 (1999).
  • Ko JP, Betke M. Chest CT: automated nodule detection and assessment of change over time-preliminary experience. Radiology218, 267–273 (2001).
  • Kanazawa K, Kawata Y, Niki N et al. Computer-aided diagnosis for pulmonary nodules based on helical CT images. Comput. Med. Imaging Graph.22, 157–167 (1998).
  • Gurcan MN, Sahiner B, Petrick N et al. Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system. Med. Phys.29, 2552–2558 (2002).
  • Wormanns D, Fiebich M, Saidi M, Diederich S, Heindel W. Automatic detection of pulmonary nodules at spiral CT: clinical application of a computer-aided diagnosis system. Eur. Radiol.12, 1052–1057 (2002).
  • Marten K, Engelke C. Computer-aided detection and automated CT volumetry of pulmonary nodules. Eur. Radiol.17, 888–901 (2007).
  • Marten K, Grillhosl A, Seyfarth T, Obenauer S, Rummeny EJ, Engelke C. Computer-assisted detection of pulmonary nodules: evaluation of diagnostic performance using an expert knowledge-based detection system with variable reconstruction slice thickness settings. Eur. Radiol.15(2), 203–212 (2005).
  • Kim JS, Kim JH, Cho G, Bae KT. Automated detection of pulmonary nodules on CT images: effect of section thickness and reconstruction interval-initial results. Radiology236, 295–299 (2005).
  • Marten K, Engelke C, Seyfarth T, Grillhosl A, Obenauer S, Rummeny EJ. Computer-aided detection of pulmonary nodules: influence of nodule characteristics on detection performance. Clin. Radiol.60, 196–206 (2005).
  • Lee JW, Goo JM, Lee HJ, Kim JH, Kim S, Kim YT. The potential contribution of a computer-aided detection system for lung nodule detection in multidetector row computed tomography. Invest. Radiol.39, 649–655 (2004).
  • Winer-Muram HT. The solitary pulmonary nodule. Radiology239, 34–49 (2006).
  • Muram TM, Aisen A. Fatty metastatic lesions in 2 patients with renal clear-cell carcinoma J. Comput. Assist. Tomogr.27, 869–870 (2003).
  • Kodama K, Higashiyama M, Yokouchi H et al. Natural history of pure ground-glass opacity after long-term follow-up of more than 2 years. Ann. Thorac. Surg.73, 386–392 (2002).
  • Nakata M, Saeki H, Takata I et al. Focal ground-glass opacity detected by low-dose helical CT. Chest121, 1464–1467 (2002).
  • Kim HY, Shim YM, Lee KS, Han J, Yi CA, Kim YK. Persistent pulmonary nodular ground-glass opacity at thin-section CT: histopathologic comparisons. Radiology245, 267–275 (2007).
  • Li F, Sone S, Abe H, Macmahon H, Doi K. Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings. Radiology233, 793–798 (2004).
  • Nathan MH, Collins VP, Adams RA. Differentiation of benign and malignant pulmonary nodules by growth rate. Radiology79, 221–232 (1962).
  • Yankelevitz DF, Reeves AP, Kostis WJ, Zhao B, Henschke CI. Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation. Radiology217, 251–256 (2000).
  • Honda O, Johkoh T, Sumikawa H et al. Pulmonary nodules: 3D volumetric measurement with multidetector CT-effect of intravenous contrast medium. Radiology245, 881–887 (2007).
  • Ko JP, Rusinek H, Jacobs EL et al. Small pulmonary nodules: volume measurement at chest CT-phantom study. Radiology228, 864–870 (2003).
  • Boll DT, Gilkeson RC, Fleiter TR, Blackham KA, Duerk JL, Lewin JS. Volumetric assessment of pulmonary nodules with ECG-gated MDCT. AJR Am. J. Roentgenol.183, 1217–1223 (2004).
  • Usuda K, Saito Y, Sagawa M et al. Tumor doubling time and prognostic assessment of patients with primary lung cancer. Cancer74, 2239–2244 (1994).
  • 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.157, 849–855 (1997).
  • Swensen SJ, Silverstein MD, Edell ES et al. Solitary pulmonary nodules: clinical prediction model versus physicians. Mayo Clin. Proc.74, 319–329 (1999).
  • 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). Chest132, S108–S132 (2007).
  • Dewan NA, Shehan CJ, Reeb SD, Gobar LS, Scott WJ, Ryschon K. Likelihood of malignancy in a solitary pulmonary nodule: comparison of Bayesian analysis and results of FDG-PET scan. Chest112, 416–422 (1997).
  • Goldsmith SJ, Kostakoglu L. Nuclear medicine imaging of lung cancer. Radiol. Clin. North Am.38, 511–524 (2000).
  • Nakamura K, Yoshida H, Engelmann R et al. Computerized analysis of the likelihood of malignancy in solitary pulmonary nodules with use of artificial neural networks. Radiology214, 823–830 (2000).
  • Li F, Aoyama M, Shiraishi J et al. Radiologists’ performance for differentiating benign from malignant lung nodules on high resolution CT using computer-estimated likelihood of malignancy. AJR Am. J. Roentgenol.183, 1209–1215 (2004).
  • Yamashita K, Matsunobe S, Takahashi R et al. Small peripheral lung carcinoma evaluated with incremental dynamic CT: radiologic-pathologic correlation. Radiology196, 401–408 (1995).
  • Zhang M, Kono M. Solitary pulmonary nodules: evaluation of blood flow patterns with dynamic CT. Radiology205, 471–478 (1997).
  • Yamashita K, Matsunobe S, Tsuda T et al. Solitary pulmonary nodule: preliminary study of evaluation with incremental dynamic CT. Radiology194, 399–405 (1995).
  • Yi CA, Lee KS, Kim B-T et al. Tissue characterization of solitary pulmonary nodule: comparative study between helical dynamic CT and integrated PET/CT. J. Nucl. Med.47, 443–450 (2006).
  • Lee KS, Yi CA, Jeong SY et al. Solid or partly solid solitary pulmonary nodules: their characterization using contrast wash-in and morphologic features at helical CT. Chest131, 1516–1525 (2007).
  • Cronin P, Dwamena BA, Kelly AM, Carlos RC. Solitary pulmonary nodules: meta-analytic comparison of cross-sectional imaging modalities for diagnosis of malignancy. Radiology246, 772–782 (2008).
  • Gupta NC, Maloof J, Gunel E. Probability of malignancy in solitary pulmonary nodules using fluorine-18-FDG and PET. J. Nucl. Med.37, 943–948 (1996).
  • Lee J, Aronchick JM, Alavi A. Accuracy of F-18 fluorodeoxyglucose positron emission tomography for the evaluation of malignancy in patients presenting with new lung abnormalities: a retrospective review. Chest120, 1791–1797 (2001).
  • Dewan NA, Gupta NC, Redepenning LS, Phalen JJ, Frick MP. Diagnostic efficacy of PET-FDG imaging in solitary pulmonary nodules. Potential role in evaluation and management. Chest104, 997–1002 (1993).
  • Herder GJ, Golding RP, Hoekstra OS et al. The performance of 18F-fluorodeoxyglucose positron emission tomography in small solitary pulmonary nodules. Eur J. Nucl. Med. Mol Imaging31, 1231–1236 (2004).
  • Halley A, Hugentobler A, Icard P et al. Efficiency of 18F-FDG and 99mTc-depreotide SPECT in the diagnosis of malignancy of solitary pulmonary nodules. Eur J. Nucl. Med. Mol. Imaging32, 1026–1032 (2005).
  • Kim SK, Allen-Auerbach M, Goldin J et al. Accuracy of PET/CT in characterization of solitary pulmonry lesions. J. Nucl. Med.48, 214–220 (2007).
  • Jeong SY, Lee KS, Shin KM et al. Efficacy of PET/CT in the characterization of solid or partly solid solitary pulmonary nodules. Lung Cancer61, 186–194 (2008).
  • Goo JM, Im JG, Do KH et al. Pulmonary tuberculoma evaluated by means of FDG PET: findings in 10 cases. Radiology216, 117–121 (2000).
  • Erasmus JJ, McAdams HP, Patz EF Jr, Coleman RE, Ahuja V, Goodman PC. Evaluation of primary pulmonary carcinoid tumors using FDG PET. AJR Am. J. Roentgenol.170, 1369–1373 (1998).
  • Higashi K, Ueda Y, Seki H et al. Fluorine-18-FDG PET imaging is negative in bronchioloalveolar lung carcinoma. J. Nucl. Med.39, 1016–1020 (1998).
  • Lee KS, Jeong YJ, Han J, Kim BT, Kim H, Kwon OJ. T1 non-small cell lung cancer: imaging and histopathologic findings and their prognostic implications. Radiographics24, 1617–1636 (2004).
  • MacMahon H, Austin JH, Gamsu G et al. Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleishner society. Radiology237, 395–400 (2005).
  • van’t Westeinde SC, de Koning HJ, Xu DM, Hoogsteden HC, van Klaveren RJ. How to deal with incidentally detected pulmonary nodules less than 10mm in size on CT in a healthy person. Lung cancer60, 151–159 (2008).
  • Jeudy J, White CS, Munden RF, Boiselle PM. Management of small (3–5-mm) pulmonary nodules at chest CT: global survey of thoracic radiologists. Radiology247, 847–853 (2008).
  • Westcott JL, Rao N, Colley DP. Transthoracic needle biopsy of small pulmonary nodules. Radiology202, 97–103 (1997).
  • Li H, Boiselle PM, Shepard JO, Trotman-Dickenson B, McLoud TC. Diagnostic accuracy and safety of CT-guided percutaneous needle aspiration biopsy of the lung: comparison of small and large pulmonary nodules. AJR Am. J. Roentgenol.167, 105–109 (1996).
  • Yankelevitz DF, Henschke CI, Koizumi JH, Altorki NK, Libby D. CT-guided transthoracic needle biopsy of small solitary pulmonary nodules. Clin Imaging21, 107–110 (1997).
  • Klein JS, Zarka MA. Transthoracic needle biopsy: an overview. J. Thorac. Imaging12, 232–249 (1997).
  • Fraser RS. Transthoracic needle aspiration. The benign diagnosis. Arch. Pathol. Lab. Med.115, 751–761 (1991).
  • Kaiser LR, Shrager JB. Video-assisted thoracic surgery: the current state of the art. AJR Am. J. Roentgenol.165, 1111–1117 (1995).
  • Sortini D, Feo CV, Carcoforo P et al. Thoracoscopic localization technique for patients with solitary pulmonary nodule and history of malignancy Ann. Thorac. Surg.79, 258–262 (2005).

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