Literature DB >> 19748002

Computer-aided detection (CAD) as a second reader using perspective filet view at CT colonography: effect on performance of inexperienced readers.

V A Fisichella1, F Jäderling, S Horvath, P-O Stotzer, A Kilander, M Båth, M Hellström.   

Abstract

AIM: To evaluate whether computer-aided detection (CAD) as a second reader using perspective filet view [three-dimensional (3D) filet] improves the performance of inexperienced readers at computed tomography colonography (CTC) compared with unassisted 3D filet and unassisted two-dimensional (2D) CTC.
MATERIAL AND METHODS: Fifty symptomatic patients underwent CTC and same-day colonoscopy with segmental unblinding. Two inexperienced readers read the CTC studies on 3D filet and 2D several weeks apart. Four months later, readers re-read the cases only evaluating CAD marks using 3D filet. Suspicious CAD marks not previously described on 3D filet were recorded. Jackknife free-response receiver operating characteristic (JAFROC-1) analysis was used to compare the observers' performances in detecting lesions with 3D filet, 2D and 3D filet with CAD.
RESULTS: One hundred and three lesions > or =3mm were detected at colonoscopy with segmental unblinding. CAD alone had a sensitivity of 73% (75/103) at a mean false-positive rate per patient of 12.8 in supine and 11.4 in prone. For inexperienced readers sensitivities with 3D filet with CAD were 58% (60/103) and 48% (50/103) with an improvement of 14-16 percentage points (p<0.05) compared with 2D and of 10-11 percentage points (p<0.05) compared with 3D filet. For inexperienced readers, the false-positive rate was 25-41% and 71-200% higher with 3D filet with CAD compared with 3D filet and 2D, respectively. JAFROC-1 analysis showed no significant differences in per-lesion overall performance among reading modes (p=0.8).
CONCLUSION: CAD applied as a second reader using 3D filet increased both sensitivity and the number of false positives by inexperienced readers compared with 3D filet and 2D, thus not improving overall performance, i.e., the ability to distinguish between lesions and non-lesions.

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Year:  2009        PMID: 19748002     DOI: 10.1016/j.crad.2009.05.012

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


  5 in total

1.  Making the PACS workstation a browser of image processing software: a feasibility study using inter-process communication techniques.

Authors:  Chunliang Wang; Felix Ritter; Orjan Smedby
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-07       Impact factor: 2.924

2.  Computer-based self-training for CT colonography with and without CAD.

Authors:  Lapo Sali; Silvia Delsanto; Daniela Sacchetto; Loredana Correale; Massimo Falchini; Andrea Ferraris; Giovanni Gandini; Giulia Grazzini; Franco Iafrate; Gabriella Iussich; Lia Morra; Andrea Laghi; Mario Mascalchi; Daniele Regge
Journal:  Eur Radiol       Date:  2018-05-23       Impact factor: 5.315

3.  Correlation of free-response and receiver-operating-characteristic area-under-the-curve estimates: results from independently conducted FROC∕ROC studies in mammography.

Authors:  Federica Zanca; Stephen L Hillis; Filip Claus; Chantal Van Ongeval; Valerie Celis; Veerle Provoost; Hong-Jun Yoon; Hilde Bosmans
Journal:  Med Phys       Date:  2012-10       Impact factor: 4.071

4.  Probabilistic method for context-sensitive detection of polyps in CT colonography.

Authors:  Janne J Näppi; Daniele Regge; Hiroyuki Yoshida
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011-03-04

5.  The second ESGAR consensus statement on CT colonography.

Authors:  Emanuele Neri; Steve Halligan; Mikael Hellström; Philippe Lefere; Thomas Mang; Daniele Regge; Jaap Stoker; Stuart Taylor; Andrea Laghi
Journal:  Eur Radiol       Date:  2012-09-15       Impact factor: 5.315

  5 in total

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