Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/4781
Título: Failure on clinical image quality criteria in digital mammography: how can radiographers do better?
Autor: Reis, Cláudia
Oliveira, Mário
Pascoal, Ana
Alves, João
Palavras-chave: Radiology
Digital mammography
Image quality
Training and education
Data: Mar-2014
Editora: Springer
Citação: Reis C, Oliveira MF, Pascoal A, Pascoal A, Alves J. Failure on clinical image quality criteria in digital mammography: how can radiographers do better? In European Congress of Radiology, Vienna (Austria), 6th to 10th March 2014. Insights Imaging. 2014;5(1 Suppl):S194.
Resumo: Purpose: To assess image quality using PGMI (perfect, good, moderate, inadequate) scale in digital mammography examinations acquired in DR systems. Identify the main failures and propose corrective actions. Evaluate the most typical breast density. Methods and Materials: Clinical image quality criteria were evaluated considering mammograms acquired in 13 DR systems and classified according to PGMI scale using the criteria described in European Commission guidelines for radiographers. The breast density was assessed according to ACR recommendations. The data were collected on the acquisition system monitor to reproduce the daily practice of the radiographer. Results: The image quality criteria were evaluated in 3044 images. The criteria were fully achieved in 41% of the images that were classified as P (perfect), 31 % of the images were classified as M (moderate), 20% G (good) and 9% I (inadequate). The main cause of inadequate image quality was absence of all breast tissue in the image, skin folders in the pectoral muscle and in the infra-mammary angle. The higher number of failures occurred in MLO projections (809 out of 1022). The most represented (36%) breast type was type 2 (25-50% glandular tissue). Conclusion: Incorrect radiographic technique was frequently detected suggesting potential training needs and poor communication between the team members (radiographer and radiologists). Further correlations are necessary to identify the main causes for the failures, namely specific education and training in digital mammography and workload.
Peer review: yes
URI: http://hdl.handle.net/10400.21/4781
DOI: 10.1007/s13244-014-0317-5
Versão do Editor: http://link.springer.com/article/10.1007/s13244-014-0317-5
Aparece nas colecções:ESTeSL - Comunicações

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