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The relationship between age of digital mammography systems and number of reported faults and downtime.
Stuffins, Martha; Loveland, John; Halling-Brown, Mark; Mackenzie, Alistair.
Afiliação
  • Stuffins M; Radiation Protection Service, Velindre Cancer Centre, Velindre Road, Whitchurch CF14 2TL, Wales, UK. Electronic address: martha.stuffins@wales.nhs.uk.
  • Loveland J; National Coordinating Centre for the Physics in Mammography (NCCPM), Level B, St Luke's Wing, Royal Surrey County Hospital, Guildford GU2 7XX, UK.
  • Halling-Brown M; Scientific Computing, Level B, St Luke's Wing, Royal Surrey County Hospital, Guildford GU2 7XX, UK.
  • Mackenzie A; National Coordinating Centre for the Physics in Mammography (NCCPM), Level B, St Luke's Wing, Royal Surrey County Hospital, Guildford GU2 7XX, UK.
Phys Med ; 98: 113-121, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35526372
PURPOSE: To investigate the relationship between age of mammographic x-ray equipment, and number of reported faults and related consequences. METHODS: A centralised online fault reporting database is used by all UK breast screening programmes to collate faults with mammography equipment. Data on faults occurring in 2018 and 2019 for digital x-ray imaging systems were analysed. The effect of the age of mammography systems on the number of equipment faults, and the consequences of these faults was examined. The number of days downtime, number of cancelled appointments, number of repeated images, and number of recalled participants were used to quantify the severity of faults. RESULTS: This analysis covers a two year period and includes 4271 faults and 522 individual x-ray sets. On average, an x-ray set was 6.1 years old at the time when a fault occurred. 77% of x-ray sets experienced five of fewer annual faults. X-ray sets of nine years old had the highest average number of annual faults. Systems of ten years old had the highest average number of days downtime per year, and the highest average number of cancellations per year. The indicated primary use of 48% of the x-ray sets included in this analysis was screening, but a disproportionate 87% of cancelled appointments occurred due to faults on these units compared to those used primarily for assessment, or for a mixture of assessment and screening. CONCLUSIONS: Information from this unique dataset can be used to support guidance on equipment replacement programmes for mammographic x-ray sets.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Mamografia Tipo de estudo: Screening_studies Limite: Child / Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Mamografia Tipo de estudo: Screening_studies Limite: Child / Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article