Shuai Ming1, Wei Yang1, Si-Jia Cui1, Shuai Huang1, Xiang-Yang Gong1. 1. Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou 310014, China.
Abstract
BACKGROUND: To study the consistency of radiologists in identifying pulmonary nodules based on low-dose computed tomography (LDCT), and to analyze factors that affect the consistency. METHODS: A total of 750 LDCT cases were collected randomly from three medical centers. Three experienced chest radiologists independently evaluated and detected the pulmonary nodules on 625 cases of LDCT images. The detected nodules were classified into 3 groups: group I (detected by all radiologists); group II (detected by two radiologists); group III (detected by only one radiologist). The consistency with respect to the image features of individual nodules was assessed. RESULTS: A total of 1,206 nodules were identified by the three radiologists. There were 234 (19.4%) nodules in group I, 377 (31.3%) nodules in group II, and 595 (49.3%) nodules in group III. Logistic regression showed that the size, density, and location of the nodules correlated with the detection of nodules. Nodules sized great than or equal to 4 mm were more consistently identified than nodules sized less than 4 mm. Solid and calcified nodules were more consistently identified than sub-solid nodules. Nodules located in the outer zone were more consistently identified than hilar nodules. CONCLUSIONS: There was considerable inter-reader variability with respect to identification of pulmonary nodules in LDCT. Larger nodules, solid or calcified nodules, and nodules located in the outer zone were more consistently identified.
BACKGROUND: To study the consistency of radiologists in identifying pulmonary nodules based on low-dose computed tomography (LDCT), and to analyze factors that affect the consistency. METHODS: A total of 750 LDCT cases were collected randomly from three medical centers. Three experienced chest radiologists independently evaluated and detected the pulmonary nodules on 625 cases of LDCT images. The detected nodules were classified into 3 groups: group I (detected by all radiologists); group II (detected by two radiologists); group III (detected by only one radiologist). The consistency with respect to the image features of individual nodules was assessed. RESULTS: A total of 1,206 nodules were identified by the three radiologists. There were 234 (19.4%) nodules in group I, 377 (31.3%) nodules in group II, and 595 (49.3%) nodules in group III. Logistic regression showed that the size, density, and location of the nodules correlated with the detection of nodules. Nodules sized great than or equal to 4 mm were more consistently identified than nodules sized less than 4 mm. Solid and calcified nodules were more consistently identified than sub-solid nodules. Nodules located in the outer zone were more consistently identified than hilar nodules. CONCLUSIONS: There was considerable inter-reader variability with respect to identification of pulmonary nodules in LDCT. Larger nodules, solid or calcified nodules, and nodules located in the outer zone were more consistently identified.
Authors: Ying Wang; Rob J van Klaveren; Geertruida H de Bock; Yingru Zhao; René Vernhout; Anne Leusveld; Ernst Scholten; Johny Verschakelen; Willem Mali; Harry de Koning; Matthijs Oudkerk Journal: Radiology Date: 2011-11-21 Impact factor: 11.105
Authors: Won Seok Choi; Chang Min Park; Yong Sub Song; Sang Min Lee; Jae Yeon Wi; Jin Mo Goo Journal: Acta Radiol Date: 2014-03-10 Impact factor: 1.990
Authors: Denise R Aberle; Amanda M Adams; Christine D Berg; William C Black; Jonathan D Clapp; Richard M Fagerstrom; Ilana F Gareen; Constantine Gatsonis; Pamela M Marcus; JoRean D Sicks Journal: N Engl J Med Date: 2011-06-29 Impact factor: 91.245
Authors: Renda Soylemez Wiener; Michael K Gould; Christopher G Slatore; Benjamin G Fincke; Lisa M Schwartz; Steven Woloshin Journal: JAMA Intern Med Date: 2014-06 Impact factor: 21.873
Authors: Stephen J Swensen; James R Jett; Jeff A Sloan; David E Midthun; Thomas E Hartman; Anne-Marie Sykes; Gregory L Aughenbaugh; Frank E Zink; Shauna L Hillman; Gayle R Noetzel; Randolph S Marks; Amy C Clayton; Peter C Pairolero Journal: Am J Respir Crit Care Med Date: 2002-02-15 Impact factor: 21.405
Authors: Ronilda Lacson; Luciano M Prevedello; Katherine P Andriole; Ritu Gill; Jennifer Lenoci-Edwards; Christopher Roy; Tejal K Gandhi; Ramin Khorasani Journal: J Am Coll Radiol Date: 2012-07 Impact factor: 5.532
Authors: Michael K Gould; Jessica Donington; William R Lynch; Peter J Mazzone; David E Midthun; David P Naidich; Renda Soylemez Wiener Journal: Chest Date: 2013-05 Impact factor: 9.410