Integration of fully automated computer-aided pulmonary nodule detection into CT pulmonary angiography studies in the emergency department: effect on workflow and diagnostic accuracy

被引:0
作者
Amirhossein Mozaffary
Tugce Agirlar Trabzonlu
Pamela Lombardi
Adeel R. Seyal
Rishi Agrawal
Vahid Yaghmai
机构
[1] Northwestern University-Feinberg School of Medicine,Department of Radiology, Northwestern Memorial Hospital
来源
Emergency Radiology | 2019年 / 26卷
关键词
Computer-aided diagnosis; Pulmonary nodule; Computed tomography;
D O I
暂无
中图分类号
学科分类号
摘要
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页码:609 / 614
页数:5
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  • [1] Neroladaki A(2013)Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: preliminary observations Eur Radiol 23 360-366
  • [2] Botsikas D(2013)Satisfaction of search from detection of pulmonary nodules in computed tomography of the chest Acad Radiol 20 194-201
  • [3] Boudabbous S(2005)Computer-aided Lung Nodule Detection in CT Academic Radiology 12 681-686
  • [4] Becker CD(2008)Evaluation of Computer-aided Diagnosis (CAD) Software for the Detection of Lung Nodules on Multidetector Row Computed Tomography (MDCT) Academic Radiology 15 1505-1512
  • [5] Montet X(2008)Lung nodule CAD software as a second reader: a multicenter study Acad Radiol 15 326-333
  • [6] Berbaum KS(2017)Radiologists’ variation of time to read across different procedure types J Digit Imaging 30 86-94
  • [7] Schartz KM(2017)Guidelines for management of incidental pulmonary nodules detected on CT images: from the Fleischner Society 2017 Radiology 284 228-243
  • [8] Caldwell RT(2004)Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists’ detection performance Radiology 230 347-352
  • [9] Madsen MT(2006)Pulmonary nodules: estimation of malignancy at thin-section helical CT--effect of computer-aided diagnosis on performance of radiologists Radiology 239 276-284
  • [10] Thompson BH(2004)Computer-assisted detection of pulmonary nodules: performance evaluation of an expert knowledge-based detection system in consensus reading with experienced and inexperienced chest radiologists Eur Radiol 14 1930-1938