Literature DB >> 15556592

Assessing the impact of CAD on the sensitivity and specificity of film readers.

P Taylor1, R Given-Wilson, J Champness, H W W Potts, K Johnston.   

Abstract

AIM: To assess the impact of computer-aided detection (CAD) prompts on film readers' sensitivity and specificity.
MATERIAL AND METHODS: Thirty-five readers read 120 films, including 44 cancers, 40 of which were prompted. All readers looked at all cases with and without prompts. The sensitivity and specificity were calculated for each reader under each condition.
RESULTS: The sensitivity improved when CAD prompts were used (0.80 from 0.77). The difference was slightly below the threshold for statistical significance (95% CI for the difference is -0.0027-0.064). The specificity also improved (0.86 from 0.85), but not significantly. There was a significant improvement in sensitivity when readers' judgements were combined to simulate double reading, from 0.77 to 0.81. (95% CI for the difference is 0.014-0.077).
CONCLUSIONS: Analysis of prompted cancers that readers did and did not recall, found that cases were more likely to be correctly recalled if there were emphasized prompts, more prompts or if the case was harder. There was no statistically significant effect for type of abnormality or tumour size or for the performance, attitude or experience of the reader.

Entities:  

Mesh:

Year:  2004        PMID: 15556592     DOI: 10.1016/j.crad.2004.04.017

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  6 in total

1.  Integrating patient symptoms, clinical readings, and radiologist feedback with computer-aided diagnosis system for detection of infectious pulmonary disease: a feasibility study.

Authors:  Tej Bahadur Chandra; Bikesh Kumar Singh; Deepak Jain
Journal:  Med Biol Eng Comput       Date:  2022-07-02       Impact factor: 3.079

2.  Using computer-aided detection in mammography as a decision support.

Authors:  Maurice Samulski; Rianne Hupse; Carla Boetes; Roel D M Mus; Gerard J den Heeten; Nico Karssemeijer
Journal:  Eur Radiol       Date:  2010-06-09       Impact factor: 5.315

3.  Role of computer-aided detection in very small screening detected invasive breast cancers.

Authors:  Xavier Bargalló; Martín Velasco; Gorane Santamaría; Montse Del Amo; Pedro Arguis; Sonia Sánchez Gómez
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

4.  Automatic detection of anomalies in screening mammograms.

Authors:  Edward J Kendall; Michael G Barnett; Krista Chytyk-Praznik
Journal:  BMC Med Imaging       Date:  2013-12-13       Impact factor: 1.930

Review 5.  Added value of double reading in diagnostic radiology,a systematic review.

Authors:  Håkan Geijer; Mats Geijer
Journal:  Insights Imaging       Date:  2018-03-28

6.  Variable size computer-aided detection prompts and mammography film reader decisions.

Authors:  Fiona J Gilbert; Susan M Astley; Caroline Rm Boggis; Magnus A McGee; Pamela M Griffiths; Stephen W Duffy; Olorunsola F Agbaje; Maureen Gc Gillan; Mary Wilson; Anil K Jain; Nicola Barr; Ursula M Beetles; Miriam A Griffiths; Jill Johnson; Rita M Roberts; Heather E Deans; Karen A Duncan; Geeta Iyengar
Journal:  Breast Cancer Res       Date:  2008-08-25       Impact factor: 6.466

  6 in total

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