A review of lung cancer screening and the role of computer-aided detection

被引:90
作者
Al Mohammad, B. [1 ]
Brennan, P. C. [1 ]
Mello-Thoms, C. [1 ]
机构
[1] Univ Sydney, Fac Hlth Sci, 75 East St, Lidcombe, NSW 2141, Australia
关键词
PULMONARY NODULES; AUTOMATED DETECTION; CHEST CT; DETECTION CAD; RADIOLOGIST PERFORMANCE; DIAGNOSTIC ERRORS; DETECTION SYSTEM; HELICAL CT; SPIRAL CT; DOSE CT;
D O I
10.1016/j.crad.2017.01.002
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Lung cancer is the leading cause of cancer-related death worldwide; however, early diagnosis of lung cancer leads to higher survival rates. The National Lung Screening Trial (NLST) demonstrated that scanning with low-dose computed tomography (LDCT) led to a 20% reduction in mortality rate in a high-risk population. This paper covers new developments in screening eligibility criteria and the possible benefits and the harm of screening with CT. To make the screening process more feasible and help reduce the rate of missed lung nodules, computer-aided detection (CAD) has been introduced to assist radiologists in lung nodule detection. The aim of this paper is to review how CAD works, its performance in lung nodule detection, and the factors that influence its performance. This paper also aims to investigate the effect of different types of CAD on CT in lung nodule detection and the effect of CAD on radiologists' decision outcomes. (C) 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:433 / 442
页数:10
相关论文
共 95 条
[1]   Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening [J].
Aberle, Denise R. ;
Adams, Amanda M. ;
Berg, Christine D. ;
Black, William C. ;
Clapp, Jonathan D. ;
Fagerstrom, Richard M. ;
Gareen, Ilana F. ;
Gatsonis, Constantine ;
Marcus, Pamela M. ;
Sicks, JoRean D. .
NEW ENGLAND JOURNAL OF MEDICINE, 2011, 365 (05) :395-409
[2]  
[Anonymous], RADIOLOGY
[3]  
[Anonymous], INT J BIOMED IMAGING
[4]  
[Anonymous], 2014, World Cancer Report
[5]   Assessment of Radiologist Performance in the Detection of Lung Nodules: Dependence on the Definition of "Truth" [J].
Armato, Samuel G., III ;
Roberts, Rachael Y. ;
Kocherginsky, Masha ;
Aberle, Denise R. ;
Kazerooni, Ella A. ;
MacMahon, Heber ;
van Beek, Edwin J. R. ;
Yankelevitz, David ;
McLennan, Geoffrey ;
McNitt-Gray, Michael F. ;
Meyer, Charles R. ;
Reeves, Anthony P. ;
Caligiuri, Philip ;
Quint, Leslie E. ;
Sundaram, Baskaran ;
Croft, Barbara Y. ;
Clarke, Laurence P. .
ACADEMIC RADIOLOGY, 2009, 16 (01) :28-38
[6]   Computerized detection of pulmonary nodules on CT scans [J].
Armato, SG ;
Giger, ML ;
Moran, CJ ;
Blackburn, JT ;
Doi, K ;
MacMahon, H .
RADIOGRAPHICS, 1999, 19 (05) :1303-1311
[7]   Automated detection of lung nodules in CT scans:: Effect of image reconstruction algorithm [J].
Armato, SG ;
Altman, MB ;
La Rivière, PJ .
MEDICAL PHYSICS, 2003, 30 (03) :461-472
[8]   Lung cancer: Performance of automated lung nodule detection applied to cancers missed in a CT screening program [J].
Armato, SG ;
Li, F ;
Giger, ML ;
MacMahon, H ;
Sone, S ;
Doi, K .
RADIOLOGY, 2002, 225 (03) :685-692
[9]   Automated detection of lung nodules in CT scans: Preliminary results [J].
Armato, SG ;
Giger, ML ;
MacMahon, H .
MEDICAL PHYSICS, 2001, 28 (08) :1552-1561
[10]   Pulmonary nodules: Estimation of malignancy at thin-section helical CT - Effect of computer-aided diagnosis on performance of radiologists [J].
Awai, K ;
Murao, K ;
Ozawa, A ;
Nakayama, Y ;
Nakaura, T ;
Liu, D ;
Kawanaka, K ;
Funama, Y ;
Morishita, S ;
Yamashita, Y .
RADIOLOGY, 2006, 239 (01) :276-284