Literature DB >> 11354754

Characteristics of missed lung cancer on chest radiographs: a French experience.

L Monnier-Cholley1, L Arrivé, A Porcel, K Shehata, H Dahan, T Urban, M Febvre, B Lebeau, J M Tubiana.   

Abstract

The purpose of this study was to report 30 cases of missed lung cancers and describe characteristics of each case. Reasons for misdiagnosis were analyzed from the report. Each radiograph was subsequently reviewed by a panel of two experts who quantified several parameters regarding image analysis and film quality. Lesions were not described in 67% of the cases and were misinterpreted as benign processes in 33% of cases. Comparison to previous chest radiographs and clinical information were seldom available on the report. Size of the lesions varied between 1 and 7 cm, location was primarily apical and paramediastinal, normal anatomy was highly or moderately complex in 87%, and distracting lesions were present in 63% of the cases. Image quality was considered perfect in 3 cases only. Among all the factors responsible for missed lung cancer, certain factors can be improved as film quality, comparison with previous radiographs, and better awareness of clinical information.

Entities:  

Mesh:

Year:  2001        PMID: 11354754     DOI: 10.1007/s003300000595

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  13 in total

Review 1.  Errors in imaging patients in the emergency setting.

Authors:  Antonio Pinto; Alfonso Reginelli; Fabio Pinto; Giuseppe Lo Re; Federico Midiri; Carlo Muzj; Luigia Romano; Luca Brunese
Journal:  Br J Radiol       Date:  2016-02-03       Impact factor: 3.039

Review 2.  Missed lung cancer: when, where, and why?

Authors:  Annemilia Del Ciello; Paola Franchi; Andrea Contegiacomo; Giuseppe Cicchetti; Lorenzo Bonomo; Anna Rita Larici
Journal:  Diagn Interv Radiol       Date:  2017 Mar-Apr       Impact factor: 2.630

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.  Computer-aided detection of malignant lung nodules on chest radiographs: effect on observers' performance.

Authors:  Kyung Hee Lee; Jin Mo Goo; Chang Min Park; Hyun Ju Lee; Kwang Nam Jin
Journal:  Korean J Radiol       Date:  2012-08-28       Impact factor: 3.500

6.  Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers.

Authors:  Zsolt Szucs-Farkas; Michael A Patak; Seyran Yuksel-Hatz; Thomas Ruder; Peter Vock
Journal:  Eur Radiol       Date:  2009-11-21       Impact factor: 5.315

7.  Observer training for computer-aided detection of pulmonary nodules in chest radiography.

Authors:  Diederick W De Boo; François van Hoorn; Joost van Schuppen; Laura Schijf; Maeke J Scheerder; Nicole J Freling; Onno Mets; Michael Weber; Cornelia M Schaefer-Prokop
Journal:  Eur Radiol       Date:  2012-03-25       Impact factor: 5.315

8.  Development of a zoomorphic test specimen for constancy testing on digital X-ray systems in veterinary radiology.

Authors:  Gerrit Pöhlmann; Matthias Lüpke; Christian Seiler; Patrick Wefstaedt; Jan-Peter Bach; Ingo Nolte; Hermann Seifert
Journal:  Acta Vet Scand       Date:  2019-08-20       Impact factor: 1.695

9.  Lung nodule detection in chest X-rays using synthetic ground-truth data comparing CNN-based diagnosis to human performance.

Authors:  Manuel Schultheiss; Philipp Schmette; Jannis Bodden; Juliane Aichele; Christina Müller-Leisse; Felix G Gassert; Florian T Gassert; Joshua F Gawlitza; Felix C Hofmann; Daniel Sasse; Claudio E von Schacky; Sebastian Ziegelmayer; Fabio De Marco; Bernhard Renger; Marcus R Makowski; Franz Pfeiffer; Daniela Pfeiffer
Journal:  Sci Rep       Date:  2021-08-04       Impact factor: 4.379

10.  Color radiography in lung nodule detection and characterization: comparison with conventional gray scale radiography.

Authors:  Inyoung Song; Jeong Geun Yi; Jeong Hee Park; Kyung Soo Lee; Myung Jin Chung
Journal:  BMC Med Imaging       Date:  2016-08-22       Impact factor: 1.930

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