Literature DB >> 24113431

Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs.

Steven Schalekamp1, Bram van Ginneken, Louis Meiss, Liesbeth Peters-Bax, Lorentz G B A Quekel, Miranda M Snoeren, Audrey M Tiehuis, Rianne Wittenberg, Nico Karssemeijer, Cornelia M Schaefer-Prokop.   

Abstract

OBJECTIVES: To assess the effect of bone suppression imaging on observer performance in detecting lung nodules in chest radiographs.
MATERIALS AND METHODS: Posteroanterior (PA) and lateral digital chest radiographs of 111 (average age 65) patients with a CT proven solitary nodule (median diameter 15 mm), and 189 (average age 63) controls were read by 5 radiologists and 3 residents. Conspicuity of nodules on the radiographs was classified in obvious (n = 32), moderate (n = 32), subtle (n = 29) and very subtle (n = 18). Observers read the PA and lateral chest radiographs without and with an additional PA bone suppressed image (BSI) (ClearRead Bone Suppression 2.4, Riverain Technologies, Ohio) within one reading session. Multi reader multi case (MRMC) receiver operating characteristics (ROC) were used for statistical analysis.
RESULTS: ROC analysis showed improved detection with use of BSI compared to chest radiographs alone (AUC = 0.883 versus 0.855; p = 0.004). Performance also increased at high specificities exceeding 80% (pAUC = 0.136 versus 0.124; p = 0.0007). Operating at a specificity of 90%, sensitivity increased with BSI from 66% to 71% (p = 0.0004). Increase of detection performance was highest for nodules with moderate and subtle conspicuity (p = 0.02; p = 0.03).
CONCLUSION: Bone suppressed images improve radiologists' detection performance for pulmonary nodules, especially for those of moderate and subtle conspicuity.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Area under curve; Diagnosis, computer-assisted; Lung/radiography; Radiography, thoracic/methods; Solitary pulmonary nodule/diagnosis; Solitary pulmonary nodule/radiography

Mesh:

Year:  2013        PMID: 24113431     DOI: 10.1016/j.ejrad.2013.09.016

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  13 in total

1.  A novel bone suppression method that improves lung nodule detection : Suppressing dedicated bone shadows in radiographs while preserving the remaining signal.

Authors:  Jens von Berg; Stewart Young; Heike Carolus; Robin Wolz; Axel Saalbach; Alberto Hidalgo; Ana Giménez; Tomás Franquet
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-09-04       Impact factor: 2.924

2.  Influence of study design in receiver operating characteristics studies: sequential versus independent reading.

Authors:  Steven Schalekamp; Bram van Ginneken; Cornelia M Schaefer-Prokop; Nico Karssemeijer
Journal:  J Med Imaging (Bellingham)       Date:  2014-04-23

3.  New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs.

Authors:  S Schalekamp; B van Ginneken; Bgf Heggelman; M Imhof-Tas; I Somers; M Brink; M Spee; Cm Schaefer-Prokop; N Karssemeijer
Journal:  Br J Radiol       Date:  2014-02-17       Impact factor: 3.039

4.  [Detection of lung nodules. New opportunities in chest radiography].

Authors:  S Pötter-Lang; S Schalekamp; C Schaefer-Prokop; M Uffmann
Journal:  Radiologe       Date:  2014-05       Impact factor: 0.635

5.  Dose reduction and image quality improvement of chest radiography by using bone-suppression technique and low tube voltage: a phantom study.

Authors:  Satoshi Takagi; Tatsuya Yaegashi; Masayori Ishikawa
Journal:  Eur Radiol       Date:  2019-08-05       Impact factor: 5.315

6.  Improved detection of solitary pulmonary nodules on radiographs compared with deep bone suppression imaging.

Authors:  Jiefang Wu; Weiguo Chen; Fengxia Zeng; Le Ma; Weimin Xu; Wei Yang; Genggeng Qin
Journal:  Quant Imaging Med Surg       Date:  2021-10

7.  Bone suppression increases the visibility of invasive pulmonary aspergillosis in chest radiographs.

Authors:  Steven Schalekamp; Bram van Ginneken; Inge A H van den Berk; Ieneke J C Hartmann; Miranda M Snoeren; Arlette E Odink; Winnifred van Lankeren; Sjoert A H Pegge; Laura J Schijf; Nico Karssemeijer; Cornelia M Schaefer-Prokop
Journal:  PLoS One       Date:  2014-10-03       Impact factor: 3.240

8.  Quantitative and qualitative evaluation of hybrid iterative reconstruction, with and without noise power spectrum models: A phantom study.

Authors:  Kazuya Minamishima; Koichi Sugisawa; Yoshitake Yamada; Masahiro Jinzaki
Journal:  J Appl Clin Med Phys       Date:  2018-02-28       Impact factor: 2.102

Review 9.  Dynamic Chest X-Ray Using a Flat-Panel Detector System: Technique and Applications.

Authors:  Akinori Hata; Yoshitake Yamada; Rie Tanaka; Mizuki Nishino; Tomoyuki Hida; Takuya Hino; Masako Ueyama; Masahiro Yanagawa; Takeshi Kamitani; Atsuko Kurosaki; Shigeru Sanada; Masahiro Jinzaki; Kousei Ishigami; Noriyuki Tomiyama; Hiroshi Honda; Shoji Kudoh; Hiroto Hatabu
Journal:  Korean J Radiol       Date:  2020-11-30       Impact factor: 3.500

10.  Added Value of Bone Suppression Image in the Detection of Subtle Lung Lesions on Chest Radiographs with Regard to Reader's Expertise.

Authors:  Gil Sun Hong; Kyung Hyun Do; Choong Wook Lee
Journal:  J Korean Med Sci       Date:  2019-10-07       Impact factor: 2.153

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