Literature DB >> 17185666

Effect of directed training on reader performance for CT colonography: multicenter study.

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Abstract

PURPOSE: To define the interpretative performance of radiologists experienced in computed tomographic (CT) colonography and to compare it with that of novice observers who had undergone directed training, with colonoscopy as the reference standard.
MATERIALS AND METHODS: Physicians at each participating center received ethical committee approval and followed the committees' requests regarding informed consent. Nine experienced radiologists, nine trained radiologists, and 10 trained technologists from nine centers read 40 CT colonographic studies selected from a data set of 51 studies and modeled to simulate a population with positive fecal occult blood test results: Studies were obtained in eight patients with cancer, 12 patients with large polyp, four patients with medium polyp, and 27 patients without colonic lesions. Findings were verified with colonoscopy. An experienced radiologist used 50 endoscopically validated studies to train novice observers before they were allowed to participate. Observers used one software platform to read studies over 2 days. Responses were collated and compared with the known diagnostic category for each subject. The number of correctly classified subjects was determined for each observer, and differences between groups were examined with bootstrap analysis.
RESULTS: Overall, 28 observers read 1084 studies and detected 121 cancers, 134 large polyps, and 33 medium polyps; 448 healthy subjects were categorized correctly. Experienced radiologists detected 116 lesions; trained radiologists and technologists detected 85 and 87 lesions, respectively. Overall accuracy of experienced observers (74.2%) was significantly better than that of trained radiologists (66.6%) and technologists (63.2%). There was no significant difference (P=.33) between overall accuracy of trained radiologists and that of technologists; however, some trainees reached the mean performance achieved by experienced observers.
CONCLUSION: Experienced observers interpreted CT colonographic images significantly better than did novices trained with 50 studies. On average, no difference between trained radiologists and trained technologists was found; however, individual performance was variable and some trainees outperformed some experienced observers. Copyright (c) RSNA, 2007.

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Year:  2007        PMID: 17185666     DOI: 10.1148/radiol.2421051000

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  17 in total

1.  CT colonography: Project of High National Interest No. 2005062137 of the Italian Ministry of Education, University and Research (MIUR).

Authors:  E Neri; A Laghi; D Regge; P Sacco; T Gallo; F Turini; E Talini; R Ferrari; M Mellaro; M Rengo; S Marchi; D Caramella; C Bartolozzi
Journal:  Radiol Med       Date:  2008-10-25       Impact factor: 3.469

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.  Diagnostic accuracy of magnetic resonance imaging and magnetic resonance arthrography of the hip is dependent on specialist training of the radiologist.

Authors:  Ciara M McGuire; Peter MacMahon; Damien P Byrne; Eoin Kavanagh; Kevin J Mulhall
Journal:  Skeletal Radiol       Date:  2011-09-14       Impact factor: 2.199

4.  Comparing the performance of trained radiographers against experienced radiologists in the UK lung cancer screening (UKLS) trial.

Authors:  Arjun Nair; Natalie Gartland; Bruce Barton; Diane Jones; Leigh Clements; Nicholas J Screaton; John A Holemans; Stephen W Duffy; John K Field; David R Baldwin; David M Hansell; Anand Devaraj
Journal:  Br J Radiol       Date:  2016-07-27       Impact factor: 3.039

5.  Can radiologist training and testing ensure high performance in CT colonography? Lessons From the National CT Colonography Trial.

Authors:  Joel G Fletcher; Mei-Hsiu Chen; Benjamin A Herman; C Daniel Johnson; Alicia Toledano; Abraham H Dachman; Amy K Hara; Jeff L Fidler; Christine O Menias; Kevin J Coakley; Mark Kuo; Karen M Horton; Jugesh Cheema; Revathy Iyer; Bettina Siewert; Judy Yee; Richard Obregon; Peter Zimmerman; Robert Halvorsen; Giovanna Casola; Martina Morrin
Journal:  AJR Am J Roentgenol       Date:  2010-07       Impact factor: 3.959

6.  Computer-aided detection in computed tomography colonography: current status and problems with detection of early colorectal cancer.

Authors:  Tsuyoshi Morimoto; Gen Iinuma; Junji Shiraishi; Yasuaki Arai; Noriyuki Moriyama; Gareth Beddoe; Yasuo Nakijima
Journal:  Radiat Med       Date:  2008-07-27

7.  CT colonography: computer-aided detection of morphologically flat T1 colonic carcinoma.

Authors:  Stuart A Taylor; Gen Iinuma; Yutaka Saito; Jie Zhang; Steve Halligan
Journal:  Eur Radiol       Date:  2008-04-04       Impact factor: 5.315

8.  Single-center study comparing computed tomography colonography with conventional colonoscopy.

Authors:  Ian C Roberts-Thomson; Graeme R Tucker; Peter J Hewett; Peter Cheung; Ruben A Sebben; E E Win Khoo; Julie D Marker; Wayne K Clapton
Journal:  World J Gastroenterol       Date:  2008-01-21       Impact factor: 5.742

9.  Interactive dedicated training curriculum improves accuracy in the interpretation of MR imaging of prostate cancer.

Authors:  Oguz Akin; Christopher C Riedl; Nicole M Ishill; Chaya S Moskowitz; Jingbo Zhang; Hedvig Hricak
Journal:  Eur Radiol       Date:  2010-04       Impact factor: 5.315

10.  Magnetic resonance imaging and magnetic resonance arthrography of the shoulder: dependence on the level of training of the performing radiologist for diagnostic accuracy.

Authors:  John S Theodoropoulos; Gustav Andreisek; Edward J Harvey; Preston Wolin
Journal:  Skeletal Radiol       Date:  2009-10-14       Impact factor: 2.199

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