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Published in: European Radiology 3/2007

01-03-2007 | Gastrointestinal

Computer assisted detection software for CT colonography: effect of sphericity filter on performance characteristics for patients with and without fecal tagging

Authors: Jamshid Dehmeshki, Steve Halligan, Stuart A. Taylor, Mary E. Roddie, Justine McQuillan, Lesley Honeyfield, Hamdan Amin

Published in: European Radiology | Issue 3/2007

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Abstract

The aim of this study is to investigate the effect of changing sphericity filter values on performance of a computer assisted detection (CAD) system for CT colonography for data with and without fecal tagging. Colonography data from 138 patients with 317 validated polyps were divided into those with (86) and without (52) fecal tagging. Polyp coordinates were established by three observers and datasets analysed subsequently by a proprietary CAD system used at four discrete sphericity filter settings. Prompts were compared with the known coordinates in order to determine sensitivity and specificity. Sensitivity was highest at low sphericity; of 164 polyps 6 mm or more, 144 (87.8%) were detected at sphericity 0.3, and 132 (80.1%) at sphericity 0.9. Of 42 polyps measuring 10 mm or more, 40 (95.2%) were detected at sphericity 0.3, and 36 (85.7%) at sphericity 0.9. There was no significant difference in sensitivity for tagged and un-tagged data but specificity was reduced in tagged data at low sphericity and significantly reduced in untagged data at high sphericity. CAD had a sensitivity of 95.2% for polyps measuring 1 cm or more and 87.8% for polyps 6 mm or more when used at a sphericity setting of 0.3. Higher sphericity settings increased specificity while reducing sensitivity. The bowel preparation used significantly impacts on specificity.
Literature
1.
go back to reference Pickhardt PJ, Choi JR, Hwang I, Butler JA, Puckett ML, Hildebrandt HA et al (2003) Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. N Engl J Med 349:2191–2200PubMedCrossRef Pickhardt PJ, Choi JR, Hwang I, Butler JA, Puckett ML, Hildebrandt HA et al (2003) Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. N Engl J Med 349:2191–2200PubMedCrossRef
2.
go back to reference Yee J, Akerkar GA, Hung RK, Steinauer-Gebauer AM, Wall SD, McQuaid KR (2001) Colorectal neoplasia: performance characteristics of CT colonography for detection in 300 patients. Radiology 219:685–692PubMed Yee J, Akerkar GA, Hung RK, Steinauer-Gebauer AM, Wall SD, McQuaid KR (2001) Colorectal neoplasia: performance characteristics of CT colonography for detection in 300 patients. Radiology 219:685–692PubMed
3.
go back to reference Fenlon HM, Nunes DP, Schroy PC 3rd, Barish MA, Clarke PD, Ferrucci JT (1999) A comparison of virtual and conventional colonoscopy for the detection of colorectal polyps. N Engl J Med 341:1496–1503PubMedCrossRef Fenlon HM, Nunes DP, Schroy PC 3rd, Barish MA, Clarke PD, Ferrucci JT (1999) A comparison of virtual and conventional colonoscopy for the detection of colorectal polyps. N Engl J Med 341:1496–1503PubMedCrossRef
4.
go back to reference Johnson CD, Toledano AY, Herman BA et al (2003) Computerized tomographic colonography: performance evaluation in a retrospective multicenter setting. Gastroenterol 125:688–695CrossRef Johnson CD, Toledano AY, Herman BA et al (2003) Computerized tomographic colonography: performance evaluation in a retrospective multicenter setting. Gastroenterol 125:688–695CrossRef
5.
go back to reference Burling D, Halligan S, Altman DG et al (2006) Polyp measurement and size categorisation by CT colonography: effect of observer experience in a multi-centre setting. Eur Radiol 16:1737–1744PubMedCrossRef Burling D, Halligan S, Altman DG et al (2006) Polyp measurement and size categorisation by CT colonography: effect of observer experience in a multi-centre setting. Eur Radiol 16:1737–1744PubMedCrossRef
6.
go back to reference Burling D, Halligan S, Altman DG et al (2006) CT colonography interpretation times: effect of reader experience, fatigue, and scan findings in a multi-centre setting. Eur Radiol 16:1745–1749PubMedCrossRef Burling D, Halligan S, Altman DG et al (2006) CT colonography interpretation times: effect of reader experience, fatigue, and scan findings in a multi-centre setting. Eur Radiol 16:1745–1749PubMedCrossRef
7.
go back to reference Mani A, Napel S, Paik DS, Jeffrey RB, Yee J, Olcott EW, Prokesch R, Davila M, Schraedley-Desmond P, Beaulieu CF (2004) Computed tomography colonography: Feasibility of computer-aided polyp detection in a “first-reader” paradigm. J Comput Assist Tomogr 28:318–326PubMedCrossRef Mani A, Napel S, Paik DS, Jeffrey RB, Yee J, Olcott EW, Prokesch R, Davila M, Schraedley-Desmond P, Beaulieu CF (2004) Computed tomography colonography: Feasibility of computer-aided polyp detection in a “first-reader” paradigm. J Comput Assist Tomogr 28:318–326PubMedCrossRef
8.
go back to reference Johnson CD, Harmsen WS, Wilson LA, Maccarty RL, Welch TJ, Ilstrup DM et al (2003) Prospective blinded evaluation of computed tomographic colonography for screen detection of colorectal polyps. Gastroenterology 125:311–319PubMedCrossRef Johnson CD, Harmsen WS, Wilson LA, Maccarty RL, Welch TJ, Ilstrup DM et al (2003) Prospective blinded evaluation of computed tomographic colonography for screen detection of colorectal polyps. Gastroenterology 125:311–319PubMedCrossRef
9.
go back to reference Taylor SA, Halligan S, Burling D et al (2006) Performance of computer-assisted reader software for polyp detection in comparison to expert readers. AJR 186:696–702PubMedCrossRef Taylor SA, Halligan S, Burling D et al (2006) Performance of computer-assisted reader software for polyp detection in comparison to expert readers. AJR 186:696–702PubMedCrossRef
10.
go back to reference Barish MA, Soto JA, Ferucci JA (2005) Consensus on current clinical practice of virtual colonoscopy. AJR 184:786–792PubMed Barish MA, Soto JA, Ferucci JA (2005) Consensus on current clinical practice of virtual colonoscopy. AJR 184:786–792PubMed
11.
go back to reference Macari M, Milano A, Lavelle M, Berman P, Megibow AJ (2000) Comparison of time-efficient CT colonography with two- and three-dimensional colonic evaluation for detecting colorectal polyps. Am J Roentgenol 174:1543–1549 Macari M, Milano A, Lavelle M, Berman P, Megibow AJ (2000) Comparison of time-efficient CT colonography with two- and three-dimensional colonic evaluation for detecting colorectal polyps. Am J Roentgenol 174:1543–1549
12.
go back to reference Wagner RF, Beiden SV, Campbell G, Metz CE, Sacks WM (2002) Assessment of medical imaging and computer-assist systems: lessons from recent experience. Acad Radiol 9:1264–1277PubMedCrossRef Wagner RF, Beiden SV, Campbell G, Metz CE, Sacks WM (2002) Assessment of medical imaging and computer-assist systems: lessons from recent experience. Acad Radiol 9:1264–1277PubMedCrossRef
13.
go back to reference Yoshida H, Nappi J, MacEnwaney P, Rubin DT, Dachman AH (2002) Computer-aided diagnosis scheme for detection of polyps at CT colonography. Radiographics 22:963–979PubMed Yoshida H, Nappi J, MacEnwaney P, Rubin DT, Dachman AH (2002) Computer-aided diagnosis scheme for detection of polyps at CT colonography. Radiographics 22:963–979PubMed
14.
go back to reference Jerebko AK, Malley JD, Franaszek M, Summers RM (2003) Multiple neural network classification for detection of colonic polyps in CT colonography datasets. Acad Radiol 10:154–160PubMedCrossRef Jerebko AK, Malley JD, Franaszek M, Summers RM (2003) Multiple neural network classification for detection of colonic polyps in CT colonography datasets. Acad Radiol 10:154–160PubMedCrossRef
15.
go back to reference Nappi JJ, Frimmel H, Dachman AH, Yoshida H (2004) Computerized detection of colorectal masses in CT colonography based on fuzzy merging and wall-thickness analysis. Med Phys 31:860–872PubMedCrossRef Nappi JJ, Frimmel H, Dachman AH, Yoshida H (2004) Computerized detection of colorectal masses in CT colonography based on fuzzy merging and wall-thickness analysis. Med Phys 31:860–872PubMedCrossRef
16.
go back to reference Altman DG, Royston P (2000) What do we mean by validating a prognostic model? Statist Med 19:453–473CrossRef Altman DG, Royston P (2000) What do we mean by validating a prognostic model? Statist Med 19:453–473CrossRef
17.
go back to reference Bogoni L, Cathier P, Dundar M, Jerebko A, Lakare S, Liang J, Periaswamy S, Baker ME, Macari M (2005) Computer-aided detection (CAD) for CT colonography: a tool to address a growing need. Br J Radiol 78:S57–S62PubMedCrossRef Bogoni L, Cathier P, Dundar M, Jerebko A, Lakare S, Liang J, Periaswamy S, Baker ME, Macari M (2005) Computer-aided detection (CAD) for CT colonography: a tool to address a growing need. Br J Radiol 78:S57–S62PubMedCrossRef
18.
go back to reference Dodd LE, Wagner RF, Armato SG, McNitt-Grey, Bieden S, Chan HP, Gur D, McLennan G, Metz CE, Petrik N, Sahiner B, Sayre J (2004) Assessment methodologies and statistical issues for computer-aided diagnosis of lung noduled in computed tomography: contemporary research topics relevant to the lung image database consortium. Acad Radiol 11:462–475PubMedCrossRef Dodd LE, Wagner RF, Armato SG, McNitt-Grey, Bieden S, Chan HP, Gur D, McLennan G, Metz CE, Petrik N, Sahiner B, Sayre J (2004) Assessment methodologies and statistical issues for computer-aided diagnosis of lung noduled in computed tomography: contemporary research topics relevant to the lung image database consortium. Acad Radiol 11:462–475PubMedCrossRef
19.
go back to reference Taylor SA, Halligan S, Goh V, Morley S, Atkin W, Bartram CI (2003) Optimizing bowel preparation for multidetector row CT colonography: effect of Citramag and Picolax. Clin Radiol 58:723–732PubMedCrossRef Taylor SA, Halligan S, Goh V, Morley S, Atkin W, Bartram CI (2003) Optimizing bowel preparation for multidetector row CT colonography: effect of Citramag and Picolax. Clin Radiol 58:723–732PubMedCrossRef
20.
go back to reference Summers RM, Franaszek M, Miller MT, Pickhardt PJ, Choi JR, Schindler WR (2005) Computer-aided detection of polyps on oral contrast-enhanced CT colonography. AJR 184:105–108PubMed Summers RM, Franaszek M, Miller MT, Pickhardt PJ, Choi JR, Schindler WR (2005) Computer-aided detection of polyps on oral contrast-enhanced CT colonography. AJR 184:105–108PubMed
Metadata
Title
Computer assisted detection software for CT colonography: effect of sphericity filter on performance characteristics for patients with and without fecal tagging
Authors
Jamshid Dehmeshki
Steve Halligan
Stuart A. Taylor
Mary E. Roddie
Justine McQuillan
Lesley Honeyfield
Hamdan Amin
Publication date
01-03-2007
Publisher
Springer-Verlag
Published in
European Radiology / Issue 3/2007
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-006-0430-z

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