Computer-aided detection (CAD) for CT colonography: A tool to address a growing need

L. Bogoni, P. Cathier, M. Dundar, A. Jerebko, S. Lakare, Jianming Liang, S. Periaswamy, M. E. Baker, M. MacAri

Research output: Contribution to journalArticle

69 Citations (Scopus)

Abstract

Colorectal cancer is the third most common cancer in both men and women. It is estimated that in 2004, nearly 147 000 cases of colon and rectal cancer will be diagnosed in the USA, and approximately 57 000 people would die from the disease; however, only 44% of the eligible population undergoes any type of colorectal cancer screening. Many reasons have been identified for non-compliance, with key ones being patient comfort, bowel preparation and cost. Virtual colonoscopy derived from computed tomography (CT) images is gaining broader acceptance as a screening method for colorectal neoplasia. Our research suggests that computer-aided detection (CAD) as a second reader has great potential in improving polyp detection. The ColonCAD prototype presented in this paper was developed and tested on cases representative of the variability and quality in true clinical practice. Results of this study with 150 patients demonstrate that: the developed algorithm generalises well: the sensitivity for polyps ≥6 mm is on average 90%; and the median false positive rate is a manageable 3 per volume.

Original languageEnglish (US)
JournalBritish Journal of Radiology
Volume78
Issue numberSPEC. ISS.
DOIs
StatePublished - 2005
Externally publishedYes

Fingerprint

Polyps
Colorectal Neoplasms
Tomography
Computed Tomographic Colonography
Rectal Neoplasms
Early Detection of Cancer
Colonic Neoplasms
Neoplasms
Costs and Cost Analysis
Research
Population
Patient Comfort

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Computer-aided detection (CAD) for CT colonography : A tool to address a growing need. / Bogoni, L.; Cathier, P.; Dundar, M.; Jerebko, A.; Lakare, S.; Liang, Jianming; Periaswamy, S.; Baker, M. E.; MacAri, M.

In: British Journal of Radiology, Vol. 78, No. SPEC. ISS., 2005.

Research output: Contribution to journalArticle

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', British Journal of Radiology, vol. 78, no. SPEC. ISS.. https://doi.org/10.1259/bjr/25777270
Bogoni, L. ; Cathier, P. ; Dundar, M. ; Jerebko, A. ; Lakare, S. ; Liang, Jianming ; Periaswamy, S. ; Baker, M. E. ; MacAri, M. / Computer-aided detection (CAD) for CT colonography : A tool to address a growing need. In: British Journal of Radiology. 2005 ; Vol. 78, No. SPEC. ISS.
@article{102967c621264f46b64086bca50fd483,
title = "Computer-aided detection (CAD) for CT colonography: A tool to address a growing need",
abstract = "Colorectal cancer is the third most common cancer in both men and women. It is estimated that in 2004, nearly 147 000 cases of colon and rectal cancer will be diagnosed in the USA, and approximately 57 000 people would die from the disease; however, only 44{\%} of the eligible population undergoes any type of colorectal cancer screening. Many reasons have been identified for non-compliance, with key ones being patient comfort, bowel preparation and cost. Virtual colonoscopy derived from computed tomography (CT) images is gaining broader acceptance as a screening method for colorectal neoplasia. Our research suggests that computer-aided detection (CAD) as a second reader has great potential in improving polyp detection. The ColonCAD prototype presented in this paper was developed and tested on cases representative of the variability and quality in true clinical practice. Results of this study with 150 patients demonstrate that: the developed algorithm generalises well: the sensitivity for polyps ≥6 mm is on average 90{\%}; and the median false positive rate is a manageable 3 per volume.",
author = "L. Bogoni and P. Cathier and M. Dundar and A. Jerebko and S. Lakare and Jianming Liang and S. Periaswamy and Baker, {M. E.} and M. MacAri",
year = "2005",
doi = "10.1259/bjr/25777270",
language = "English (US)",
volume = "78",
journal = "British Journal of Radiology",
issn = "0007-1285",
publisher = "British Institute of Radiology",
number = "SPEC. ISS.",

}

TY - JOUR

T1 - Computer-aided detection (CAD) for CT colonography

T2 - A tool to address a growing need

AU - Bogoni, L.

AU - Cathier, P.

AU - Dundar, M.

AU - Jerebko, A.

AU - Lakare, S.

AU - Liang, Jianming

AU - Periaswamy, S.

AU - Baker, M. E.

AU - MacAri, M.

PY - 2005

Y1 - 2005

N2 - Colorectal cancer is the third most common cancer in both men and women. It is estimated that in 2004, nearly 147 000 cases of colon and rectal cancer will be diagnosed in the USA, and approximately 57 000 people would die from the disease; however, only 44% of the eligible population undergoes any type of colorectal cancer screening. Many reasons have been identified for non-compliance, with key ones being patient comfort, bowel preparation and cost. Virtual colonoscopy derived from computed tomography (CT) images is gaining broader acceptance as a screening method for colorectal neoplasia. Our research suggests that computer-aided detection (CAD) as a second reader has great potential in improving polyp detection. The ColonCAD prototype presented in this paper was developed and tested on cases representative of the variability and quality in true clinical practice. Results of this study with 150 patients demonstrate that: the developed algorithm generalises well: the sensitivity for polyps ≥6 mm is on average 90%; and the median false positive rate is a manageable 3 per volume.

AB - Colorectal cancer is the third most common cancer in both men and women. It is estimated that in 2004, nearly 147 000 cases of colon and rectal cancer will be diagnosed in the USA, and approximately 57 000 people would die from the disease; however, only 44% of the eligible population undergoes any type of colorectal cancer screening. Many reasons have been identified for non-compliance, with key ones being patient comfort, bowel preparation and cost. Virtual colonoscopy derived from computed tomography (CT) images is gaining broader acceptance as a screening method for colorectal neoplasia. Our research suggests that computer-aided detection (CAD) as a second reader has great potential in improving polyp detection. The ColonCAD prototype presented in this paper was developed and tested on cases representative of the variability and quality in true clinical practice. Results of this study with 150 patients demonstrate that: the developed algorithm generalises well: the sensitivity for polyps ≥6 mm is on average 90%; and the median false positive rate is a manageable 3 per volume.

UR - http://www.scopus.com/inward/record.url?scp=21644448339&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=21644448339&partnerID=8YFLogxK

U2 - 10.1259/bjr/25777270

DO - 10.1259/bjr/25777270

M3 - Article

C2 - 15917447

AN - SCOPUS:21644448339

VL - 78

JO - British Journal of Radiology

JF - British Journal of Radiology

SN - 0007-1285

IS - SPEC. ISS.

ER -