Literature DB >> 21307781

Flat-panel detector computed tomography imaging: observer performance in detecting pulmonary nodules in comparison with conventional chest radiography and multidetector computed tomography.

Hideji Otani1, Norihisa Nitta, Mitsuru Ikeda, Yukihiro Nagatani, Toyohiko Tanaka, Hitoshi Kitahara, Yoko Murakami, Masashi Takahashi, Kiyoshi Murata.   

Abstract

PURPOSE: The aim of this study was to compare the detectability of lung nodules on images obtained with a flat-panel detector computed tomography (FPD-CT) system and by chest radiographs (CXRs) using receiver-operating characteristic (ROC) analysis.
MATERIALS AND METHODS: FPD-CT was conducted with the patients in the sitting position. For the CXR study, the patients stood erect. Our study population consisted of 26 individuals ranging in age from 50 to 83 years. The reference standard was based on the interpretations obtained by consensus of 2 radiologists on multidetector CT images for the presence or absence of nodules. Four other radiologists independently assessed and recorded the absence or presence of lung nodules and their location on FPD-CT and CXR images. ROC analysis was used to evaluate lung nodule detectability by both imaging modalities.
RESULTS: Two radiologists identified 34 nodules whose diameter was 5 to 42 mm (mean, 19.3 mm) in 23 of the 26 study participants on the multidetector CT images. Overall, analysis of variance for ROC analysis showed that FPD-CT was significantly better in detecting nodules than CXR (P=0.02). The estimated mean Az value was 0.9818±0.0083 with FPD-CT and 0.7610±0.0908 with CXR. The sensitivity for nodule detection on FPD-CT and CXR images was 79.4% and 33.8%, respectively.
CONCLUSION: The detectability of pulmonary nodules was better on images of FPD-CT than on CXRs.

Entities:  

Mesh:

Year:  2012        PMID: 21307781     DOI: 10.1097/RTI.0b013e31820321e2

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  2 in total

1.  Digital tomosynthesis for evaluating metastatic lung nodules: nodule visibility, learning curves, and reading times.

Authors:  Kyung Hee Lee; Jin Mo Goo; Sang Min Lee; Chang Min Park; Young Eun Bahn; Hyungjin Kim; Yong Sub Song; Eui Jin Hwang
Journal:  Korean J Radiol       Date:  2015-02-27       Impact factor: 3.500

Review 2.  Multi-reader multi-case studies using the area under the receiver operator characteristic curve as a measure of diagnostic accuracy: systematic review with a focus on quality of data reporting.

Authors:  Thaworn Dendumrongsup; Andrew A Plumb; Steve Halligan; Thomas R Fanshawe; Douglas G Altman; Susan Mallett
Journal:  PLoS One       Date:  2014-12-26       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.