References
- Gibbs JM, Chandrasekhar CA, Ferguson EC, Oldham SA. Lines and stripes: where did they go?--From conventional radiography to CT. Radiographics 2007;27:33-48 https://doi.org/10.1148/rg.271065073
- Ellis SM, Flower C. The WHO manual of diagnostic imaging: radiographic anatomy and interpretation of the chest and the pulmonary system. Geneva: World Health Organization 2006
- Quekel LG, Kessels AG, Goei R, Van Engelshoven JM. Miss rate of lung cancer on the chest radiograph in clinical practice. Chest 1999;115:720-724 https://doi.org/10.1378/chest.115.3.720
- Turkington PM, Kennan N, Greenstone MA. Misinterpretation of the chest x ray as a factor in the delayed diagnosis of lung cancer. Postgrade Med J 2002;78:158-160 https://doi.org/10.1136/pmj.78.917.158
- Del Ciello A, Franchi P, Contegiacomo A, Cicchetti G, Bonomo L, Larici AR. Missed lung cancer: when, where, and why? Diagn Interv Radiol 2017;23:118-126 https://doi.org/10.5152/dir.2016.16187
- Kashiwabara K, Koshi S, Ota K, Tanaka M, Toyonaga M. Outcome in patients with lung cancer found retrospectively to have had evidence of disease on past lung cancer mass screening roentgenograms. Lung Cancer 2002;35:237-241 https://doi.org/10.1016/S0169-5002(01)00444-5
- Woodring J. Pitfalls in the radiologic diagnosis of lung cancer. AJR Am J Roentgenol 1990;154:1165-1175 https://doi.org/10.2214/ajr.154.6.2110722
- Qin C, Yao D, Shi Y, Song Z. Computer-aided detection in chest radiography based on artificial intelligence: a survey. Biomed Eng Online 2018;17:113
- Lakhani P, Sundaram B. Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks. Radiology 2017;284:574-582 https://doi.org/10.1148/radiol.2017162326
- Hwang EJ, Park S, Jin KN, Kim JI, Choi SY, Lee JH, et al. Development and validation of a deep learning- based automated detection algorithm for major thoracic diseases on chest radiographs. JAMA Netw Open 2019;2:e191095
- Shah PK, Austin JH, White CS, Patel P, Haramati LB, Pearson GD, et al. Missed non-small cell lung cancer: radiographic findings of potentially resectable lesions evident only in retrospect. Radiology 2003;226:235-241 https://doi.org/10.1148/radiol.2261011924
- McLoud TC, Isler RJ, Novelline RA, Putman CE, Simeone J, Stark P. The apical cap. AJR Am J Roentgenol 1981;137:299-306 https://doi.org/10.2214/ajr.137.2.299
- Panagopoulos N, Leivaditis V, Koletsis E, Prokakis C, Alexopoulos P, Baltayiannis N, et al. Pancoast tumors: characteristics and preoperative assessment. J Thorac Dis 2014;6 Suppl 1:S108-115
- Monnier-Cholley L, Arrive L, Porcel A, Shehata K, Dahan H, Urban T, et al. Characteristics of missed lung cancer on chest radiographs: a French experience. Eur Radiol 2001;11:597-605 https://doi.org/10.1007/s003300000595
- De Groot PM, Carter BW, Abbott GF, Wu CC. Pitfalls in chest radiographic interpretation: blind spots. Semin Roentgenol 2015;50:197-209 https://doi.org/10.1053/j.ro.2015.01.008
- Muhm JR, Miller WE, Fontana RS, Sanderson DR, Uhlenhopp MA. Lung cancer detected during a screening program using four-month chest radiographs. Radiology 1983;148:609-615 https://doi.org/10.1148/radiology.148.3.6308709
- Humphrey KL, Wu CC, Gilman MD, El-Sherief AH, Shepard JA, Abbott GF. Where are they all hiding? Common blind spots on chest radiography. Contemp Diagn Radiol 2011;34:1-5 https://doi.org/10.1097/01.CDR.0000406727.37058.bc
- Sarkar S, Jash D, Maji A, Patra A. Approach to unequal hilum on chest X-ray. J Assoc Chest Physicians 2013;1:32
- Collins J, Stern EJ. Chest radiology: the essentials. Philadelphia: Lippincott Williams & Wilkins 2012:1-15
- Wu CC, Khorashadi L, Abbott GF, Shepard JA. Common blind spots on chest CT: where are they all hiding? Part 2, Extrapulmonary structures. AJR Am J Roentgenol 2013;201:W671-W677 https://doi.org/10.2214/AJR.12.9355
- Mahoney MC, Shipley RT, Corcoran HL, Dickson BA. CT demonstration of calcification in carcinoma of the lung. AJR Am J Roentgenol 1990;154:255-258 https://doi.org/10.2214/ajr.154.2.2153329
- Fraser RG, Pare JP. Diagnosis of diseases of the chest. Philadelphia: W.B. Saunders Company 1978
- Khan AN, Al-Jahdali HH, Allen CM, Irion KL, Al Ghanem S, Koteyar SS. The calcified lung nodule: what does it mean? Ann Thorac Med 2010;5:67-79 https://doi.org/10.4103/1817-1737.62469
- Hebert C, George RB. Large fluid-filled thoracic mass in a young man. South Med J 1988;81:1322-1323 https://doi.org/10.1097/00007611-198810000-00031
- Venuta F, Rendina EA, Pescarmona EO, De Giacomo T, Vizza D, Flaishman I, et al. Occult lung cancer in patients with bullous emphysema. Thorax 1997;52:289-290 https://doi.org/10.1136/thx.52.3.289
- Hanaoka N, Tanaka F, Otake Y, Yanagihara K, Nakagawa T, Kawano Y, et al. Primary lung carcinoma arising from emphysematous bullae. Lung Cancer 2002;38:185-191 https://doi.org/10.1016/S0169-5002(02)00186-1
- Tsutsui M, Araki Y, Shirakusa T, Inutsuka S. Characteristic radiographic features of pulmonary carcinoma associated with large bulla. Ann Thorac Surg 1988;46:679-683 https://doi.org/10.1016/S0003-4975(10)64733-9
- Tan Y, Gao J, Wu C, Zhao S, Yu J, Zhu R, et al. CT characteristics and pathologic basis of solitary cystic lung cancer. Radiology 2019;291:495-501 https://doi.org/10.1148/radiol.2019181598
- Ichikawa T, Hattori A, Suzuki K, Matsunaga T, Takamochi K, Oh S, et al. Clinicopathological characteristics of lung cancer mimicking organizing pneumonia on computed tomography-a novel radiological entity of pulmonary malignancy. Jpn J Clin Oncol 2016;46:681-686 https://doi.org/10.1093/jjco/hyw053
- Aquino SL, Chiles C, Halford P. Distinction of consolidative bronchioloalveolar carcinoma from pneumonia: do CT criteria work? AJR Am J Roentgenol 1998;171:359-363 https://doi.org/10.2214/ajr.171.2.9694451
- Stevic R, Milenkovic B. Tracheobronchial tumors. J Thorac Dis 2016;8:3401-3413 https://doi.org/10.21037/jtd.2016.11.24
- Song Y, Choi YW, Paik SS, Han DH, Lee KY. Endobronchial squamous cell carcinoma presenting as localized, long, continuous bronchial thickening on CT. Eur J Radiol 2017;91:99-105 https://doi.org/10.1016/j.ejrad.2017.04.003
- Traill ZC, Maskell GF, Gleeson FV. High-resolution CT findings of pulmonary sarcoidosis. AJR Am J Roentgenol 1997;168:1557-1560 https://doi.org/10.2214/ajr.168.6.9168723
- Moon WK, Im JG, Yeon KM, Han MC. Tuberculosis of the central airways: CT findings of active and fibrotic disease. AJR Am J Roentgenol 1997;169:649-653 https://doi.org/10.2214/ajr.169.3.9275870
- Shiraishi J, Li Q, Appelbaum D, Doi K. Computer-aided diagnosis and artificial intelligence in clinical imaging. Semin Nucl Med 2011;41:449-462 https://doi.org/10.1053/j.semnuclmed.2011.06.004
- Mayo RC, Leung J. Artificial intelligence and deep learning-Radiology's next frontier? Clin Imaging 2018;49:87-88 https://doi.org/10.1016/j.clinimag.2017.11.007