Development and content validity evaluation of a candidate instrument to assess image quality in digital mammography: A mixed-method study
| Autor: | Chantal Van Ongeval, Anetta Bolejko, Joana Boita, Mireille J. M. Broeders, Sophia Zackrisson, Anders Tingberg, Debra M. Ikeda, Ruben E. van Engen, Ioannis Sechopoulos, Ruud M. Pijnappel, Hilde Bosmans, Matthew G. Wallis, Alistair Mackenzie |
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| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Digital mammography Image quality Visual grading analysis 030218 nuclear medicine & medical imaging Kappa index 03 medical and health sciences 0302 clinical medicine Image quality evaluation Content validity evaluation medicine Content validity Humans Radiology Nuclear Medicine and imaging Medical physics Breast Content validity index Science & Technology Breast tissue business.industry Directed content analysis Radiology Nuclear Medicine & Medical Imaging Reproducibility of Results General Medicine PERFORMANCE Women's cancers Radboud Institute for Health Sciences [Radboudumc 17] PROCESSING ALGORITHMS Research Design 030220 oncology & carcinogenesis business Life Sciences & Biomedicine Mammography |
| Zdroj: | European Journal of Radiology, 134 |
| ISSN: | 1872-7727 0720-048X |
| Popis: | Contains fulltext : 229548.pdf (Publisher’s version ) (Open Access) PURPOSE: To develop a candidate instrument to assess image quality in digital mammography, by identifying clinically relevant features in images that are affected by lower image quality. METHODS: Interviews with fifteen expert breast radiologists from five countries were conducted and analysed by using adapted directed content analysis. During these interviews, 45 mammographic cases, containing 44 lesions (30 cancers, 14 benign findings), and 5 normal cases, were shown with varying image quality. The interviews were performed to identify the structures from breast tissue and lesions relevant for image interpretation, and to investigate how image quality affected the visibility of those structures. The interview findings were used to develop tentative items, which were evaluated in terms of wording, understandability, and ambiguity with expert breast radiologists. The relevance of the tentative items was evaluated using the content validity index (CVI) and modified kappa index (k*). RESULTS: Twelve content areas, representing the content of image quality in digital mammography, emerged from the interviews and were converted into 29 tentative items. Fourteen of these items demonstrated excellent CVI>/=0.78 (k* > 0.74), one showed good CVI |
| Databáze: | OpenAIRE |
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