Failure on clinical image quality criteria in digital mammography: how can radiographers do better?

Bibliographic Details
Main Author: Reis, Cláudia
Publication Date: 2014
Other Authors: Oliveira, Mário, Pascoal, Ana, Alves, João
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.21/4781
Summary: 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.
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spelling Failure on clinical image quality criteria in digital mammography: how can radiographers do better?RadiologyDigital mammographyImage qualityTraining and educationPurpose: 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.SpringerRCIPLReis, CláudiaOliveira, MárioPascoal, AnaAlves, João2015-08-17T15:17:51Z2014-032014-03-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.21/4781eng10.1007/s13244-014-0317-5info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-12T07:10:03Zoai:repositorio.ipl.pt:10400.21/4781Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:47:43.198567Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Failure on clinical image quality criteria in digital mammography: how can radiographers do better?
title Failure on clinical image quality criteria in digital mammography: how can radiographers do better?
spellingShingle Failure on clinical image quality criteria in digital mammography: how can radiographers do better?
Reis, Cláudia
Radiology
Digital mammography
Image quality
Training and education
title_short Failure on clinical image quality criteria in digital mammography: how can radiographers do better?
title_full Failure on clinical image quality criteria in digital mammography: how can radiographers do better?
title_fullStr Failure on clinical image quality criteria in digital mammography: how can radiographers do better?
title_full_unstemmed Failure on clinical image quality criteria in digital mammography: how can radiographers do better?
title_sort Failure on clinical image quality criteria in digital mammography: how can radiographers do better?
author Reis, Cláudia
author_facet Reis, Cláudia
Oliveira, Mário
Pascoal, Ana
Alves, João
author_role author
author2 Oliveira, Mário
Pascoal, Ana
Alves, João
author2_role author
author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Reis, Cláudia
Oliveira, Mário
Pascoal, Ana
Alves, João
dc.subject.por.fl_str_mv Radiology
Digital mammography
Image quality
Training and education
topic Radiology
Digital mammography
Image quality
Training and education
description 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.
publishDate 2014
dc.date.none.fl_str_mv 2014-03
2014-03-01T00:00:00Z
2015-08-17T15:17:51Z
dc.type.driver.fl_str_mv conference object
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.21/4781
url http://hdl.handle.net/10400.21/4781
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1007/s13244-014-0317-5
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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