Missed cancers in lung cancer screening – more than meets the eye
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
http://link.springer.com/content/pdf/10.1007/s00330-014-3395-3.pdf
Reference14 articles.
1. Baker SR, Patel RH, Yang L, Lelkes VM, Castro A III (2013) Malpractice suits in chest radiology: an evaluation of the histories of 8265 radiologists. J Thorac Imaging 28:388–391
2. Manning DJ, Ethell SC, Donovan T (2004) Detection or decision errors? Missed lung cancer from the posteroanterior chest radiograph. Br J Radiol 77:231–235
3. Armato SG III, Nitt-Gray MF, Reeves AP et al (2007) The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans. Acad Radiol 14:1409–1421
4. Nietert PJ, Ravenel JG, Taylor KK, Silvestri GA (2011) Influence of nodule detection software on radiologists' confidence in identifying pulmonary nodules with computed tomography. J Thorac Imaging 26:48–53
5. Church TR, Black WC, Aberle DR et al (2013) Results of initial low-dose computed tomographic screening for lung cancer. N Engl J Med 368:1980–1991
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