Computer-based self-training for CT colonography with and without CAD.
Objectives: To determine whether (1) computer-based self-training for CT colonography (CTC) improves interpretation performance of novice readers; (2) computer-aided detection (CAD) use during training affects learning.Methods: Institutional review board approval and patients' informed consent were...
| Publicado en: | European Radiology Vol. 28; no. 11; pp. 4783 - 4792 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Nov2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=132188057&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 132188057 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Nov2018 vid: 28 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 132188057 132188057 NLM29796918 132188057 10.1007/s00330-018-5480-5 NLM29796918 132188057 ppf: 4783 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Computer-based self-training for CT colonography with and without CAD. aug: au: Sali, Lapo Delsanto, Silvia Sacchetto, Daniela Correale, Loredana Falchini, Massimo Ferraris, Andrea Gandini, Giovanni Grazzini, Giulia Iafrate, Franco Iussich, Gabriella Morra, Lia Laghi, Andrea Mascalchi, Mario Regge, Daniele affil: Department of Biomedical, Experimental and Clinical Sciences ``Mario Serio'', University of Florence, Viale Morgani 50, 50134, Florence, Italy sug: subj: Colonography, Computed Tomographic Methods Education, Medical Colorectal Neoplasms Algorithms Colonic Polyps Diagnosis, Computer Assisted Methods Specialties, Medical Education Adult Human ROC Curve Colonoscopy Clinical Competence Male Middle Age Diagnosis, Differential Reproducibility of Results Female Validation Studies Comparative Studies Evaluation Research Multicenter Studies Impact of Events Scale Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Objectives: To determine whether (1) computer-based self-training for CT colonography (CTC) improves interpretation performance of novice readers; (2) computer-aided detection (CAD) use during training affects learning.Methods: Institutional review board approval and patients' informed consent were obtained for all cases included in this study. Twenty readers (17 radiology residents, 3 radiologists) with no experience in CTC interpretation were recruited in three centres. After an introductory course, readers performed a baseline assessment test (37 cases) using CAD as second reader. Then they were randomized (1:1) to perform either a computer-based self-training (150 cases verified at colonoscopy) with CAD as second reader or the same training without CAD. The same assessment test was repeated after completion of the training programs. Main outcome was per lesion sensitivity (≥ 6 mm). A generalized estimating equation model was applied to evaluate readers' performance and the impact of CAD use during training.Results: After training, there was a significant improvement in average per lesion sensitivity in the unassisted phase, from 74% (356/480) to 83% (396/480) (p < 0.001), and in the CAD-assisted phase, from 83% (399/480) to 87% (417/480) (p = 0.021), but not in average per patient sensitivity, from 93% (390/420) to 94% (395/420) (p = 0.41), and specificity, from 81% (260/320) to 86% (276/320) (p = 0.15). No significant effect of CAD use during training was observed on per patient sensitivity and specificity, nor on per lesion sensitivity.Conclusions: A computer-based self-training program for CTC improves readers' per lesion sensitivity. CAD as second reader does not have a significant impact on learning if used during training.Key Points: • Computer-based self-training for CT colonography improves per lesion sensitivity of novice readers. • Self-training program does not increase per patient specificity of novice readers. • CAD used during training does not have significant impact on learning. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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