Literature DB >> 22903619

Time-efficient CT colonography interpretation using an advanced image-gallery-based, computer-aided "first-reader" workflow for the detection of colorectal adenomas.

Thomas Mang1, Gerardo Hermosillo, Matthias Wolf, Luca Bogoni, Marcos Salganicoff, Vikas Raykar, Helmut Ringl, Michael Weber, Christina Mueller-Mang, Anno Graser.   

Abstract

OBJECTIVES: To assess the performance of an advanced "first-reader" workflow for computer-aided detection (CAD) of colorectal adenomas ≥ 6 mm at computed tomographic colonography (CTC) in a low-prevalence cohort.
METHODS: A total of 616 colonoscopy-validated CTC patient-datasets were retrospectively reviewed by a radiologist using a "first-reader" CAD workflow. CAD detections were presented as galleries of six automatically generated two-dimensional (2D) and three-dimensional (3D) images together with interactive 3D target views and 2D multiplanar views of the complete dataset. Each patient-dataset was interpreted by initially using CAD image-galleries followed by a fast 2D review to address unprompted colonic areas. Per-patient, per-polyp, and per-adenoma sensitivities were calculated for lesions ≥ 6 mm. Statistical testing employed Fisher's exact and McNemar tests.
RESULTS: In 91/616 patients, 131 polyps (92 adenomas, 39 non-adenomas) ≥ 6 mm and two cancers were identified by reference standard. Using the CAD gallery-based first-reader workflow, the radiologist detected all adenomas ≥ 10 mm (34/34) and cancers. Per-patient and polyp sensitivities for lesions ≥ 6 mm were 84.3 % (75/89), and 83.2 % (109/131), respectively, with 89.1 % (57/64) and 85.9 % (79/92) for adenomas. Overall specificity was 95.6 % (504/527). Mean interpretation time was 3.1 min per patient.
CONCLUSIONS: A CAD algorithm, applied in an image-gallery-based first-reader workflow, can substantially decrease reading times while enabling accurate detection of colorectal adenomas in a low-prevalence population. KEY POINTS: Computer-aided detection (CAD) is increasingly used to help interpret CT colonography (CTC). An image-gallery first-reader CAD-workflow is feasible for detection of colorectal adenomas ≥ 6 mm. Image-gallery first-reader CAD yields per-patient sensitivity of 89.1 % and specificity of 95.6 %. The mean reading time for CTC was 3.1 min, making screening feasible. No large adenoma was missed by the radiologist who reviewed with CAD galleries.

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Year:  2012        PMID: 22903619     DOI: 10.1007/s00330-012-2522-2

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


  30 in total

1.  Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults.

Authors:  Perry J Pickhardt; J Richard Choi; Inku Hwang; James A Butler; Michael L Puckett; Hans A Hildebrandt; Roy K Wong; Pamela A Nugent; Pauline A Mysliwiec; William R Schindler
Journal:  N Engl J Med       Date:  2003-12-01       Impact factor: 91.245

2.  Comparison of diagnostic accuracy and interpretation times for a standard and an advanced 3D visualisation technique in CT colonography.

Authors:  Thomas Mang; Frank T Kolligs; Claus Schaefer; Maxmilian F Reiser; Anno Graser
Journal:  Eur Radiol       Date:  2010-10-03       Impact factor: 5.315

Review 3.  CT colonography reporting and data system: a consensus proposal.

Authors:  Michael E Zalis; Matthew A Barish; J Richard Choi; Abraham H Dachman; Helen M Fenlon; Joseph T Ferrucci; Seth N Glick; Andrea Laghi; Michael Macari; Elizabeth G McFarland; Martina M Morrin; Perry J Pickhardt; Jorge Soto; Judy Yee
Journal:  Radiology       Date:  2005-07       Impact factor: 11.105

Review 4.  CAD techniques, challenges, and controversies in computed tomographic colonography.

Authors:  H Yoshida; A H Dachman
Journal:  Abdom Imaging       Date:  2005 Jan-Feb

5.  Automated measurement of colorectal polyp height at CT colonography: hyperplastic polyps are flatter than adenomatous polyps.

Authors:  Ronald M Summers; Jiamin Liu; Jianhua Yao; Linda Brown; J Richard Choi; Perry J Pickhardt
Journal:  AJR Am J Roentgenol       Date:  2009-11       Impact factor: 3.959

6.  CT colonography computer-aided polyp detection: Effect on radiologist observers of polyp identification by CAD on both the supine and prone scans.

Authors:  Ronald M Summers; Jiamin Liu; Bhavya Rehani; Phillip Stafford; Linda Brown; Adeline Louie; Duncan S Barlow; Donald W Jensen; Brooks Cash; J Richard Choi; Perry J Pickhardt; Nicholas Petrick
Journal:  Acad Radiol       Date:  2010-06-12       Impact factor: 3.173

7.  Incremental benefit of computer-aided detection when used as a second and concurrent reader of CT colonographic data: multiobserver study.

Authors:  Steve Halligan; Susan Mallett; Douglas G Altman; Justine McQuillan; Maria Proud; Gareth Beddoe; Lesley Honeyfield; Stuart A Taylor
Journal:  Radiology       Date:  2010-11-17       Impact factor: 11.105

8.  Effect of computer-aided detection for CT colonography in a multireader, multicase trial.

Authors:  Abraham H Dachman; Nancy A Obuchowski; Jeffrey W Hoffmeister; J Louis Hinshaw; Michael I Frew; Thomas C Winter; Robert L Van Uitert; Senthil Periaswamy; Ronald M Summers; Bruce J Hillman
Journal:  Radiology       Date:  2010-07-27       Impact factor: 11.105

9.  Nonadenomatous polyps at CT colonography: prevalence, size distribution, and detection rates.

Authors:  Perry J Pickhardt; J Richard Choi; Inku Hwang; William R Schindler
Journal:  Radiology       Date:  2004-07-09       Impact factor: 11.105

10.  Diagnostic accuracy of computed tomographic colonography for the detection of advanced neoplasia in individuals at increased risk of colorectal cancer.

Authors:  Daniele Regge; Cristiana Laudi; Giovanni Galatola; Patrizia Della Monica; Luigina Bonelli; Giuseppe Angelelli; Roberto Asnaghi; Brunella Barbaro; Carlo Bartolozzi; Didier Bielen; Luca Boni; Claudia Borghi; Paolo Bruzzi; Maria Carla Cassinis; Massimo Galia; Teresa Maria Gallo; Andrea Grasso; Cesare Hassan; Andrea Laghi; Maria Cristina Martina; Emanuele Neri; Carlo Senore; Giovanni Simonetti; Silvia Venturini; Giovanni Gandini
Journal:  JAMA       Date:  2009-06-17       Impact factor: 56.272

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  1 in total

1.  CT colonography: effect of computer-aided detection of colonic polyps as a second and concurrent reader for general radiologists with moderate experience in CT colonography.

Authors:  Thomas Mang; Luca Bogoni; Vikram X Anand; Dass Chandra; Andrew J Curtin; Anna S Lev-Toaff; Gerardo Hermosillo; Ralph Noah; Vikas Raykar; Marcos Salganicoff; Robert Shaw; Susan Summerton; Rafel F R Tappouni; Helmut Ringel; Michael Weber; Matthias Wolf; Nancy A Obuchowski
Journal:  Eur Radiol       Date:  2014-05-10       Impact factor: 5.315

  1 in total

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