Development of an automatic tool for dose management in digital mammography

Autores/as

  • Maryangel Jhoseline Medina Fundación Centro Diagnóstico Nuclear- Comisión Nacional de Energía Atómica ,
  • Francisco Javier Funes Fundación Centro Diagnóstico Nuclear- Comisión Nacional de Energía Atómica
  • Vanesa Maria Sanz Fundación Centro Diagnóstico Nuclear- Comisión Nacional de Energía Atómica
  • Aley Palau Fundación Centro Diagnóstico Nuclear
  • Mauro Namías Fundación Centro Diagnóstico Nuclear

DOI:

https://doi.org/10.15392/bjrs.v7i1A.463

Palabras clave:

Digital mammography, dose Management

Resumen

INTRODUCTION: Digital mammography units usually record the entrance surface exposure (ESE) and the average glandular dose (AGD) received by the patient for each exposure. This information is usually available in the DICOM headers and can be used to perform dose surveys. The main objective of this paper was to develop a software tool to automatically analyze digital mammography image headers in order to assess the dose received by each patient. MATERIALS AND METHODS: Images were acquired on a Senographe Essential (GE Healthcare) digital mammography system, using automatic exposure control. Patients with breast implants were excluded. Images were queried and downloaded from the institution's PACS using the DCM4CHE 3.0 open source toolkit. MATLAB code was developed to extract the breast thickness and the AGD from the DICOM headers. This data was exported to a spreadsheet for further analysis. RESULTS: Demographic data, breast thickness and dose per view for 59 patients were analyzed. A AGD of 1.56 mGy and 1.53 mGy was obtained for the craniocaudal (CC)  and mediolateral oblique (MLO) views respectively. CONCLUSIONS: the developed tool proved to be useful for the dosimetric survey of digital mammographic techniques, allowing us to implement a dose management program.

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Biografía del autor/a

  • Maryangel Jhoseline Medina, Fundación Centro Diagnóstico Nuclear- Comisión Nacional de Energía Atómica,
    Department Medical Physics
  • Francisco Javier Funes, Fundación Centro Diagnóstico Nuclear- Comisión Nacional de Energía Atómica
    Department Medical Physics
  • Vanesa Maria Sanz, Fundación Centro Diagnóstico Nuclear- Comisión Nacional de Energía Atómica
    Department Medical Physics
  • Aley Palau, Fundación Centro Diagnóstico Nuclear
    Department Medical Physics
  • Mauro Namías, Fundación Centro Diagnóstico Nuclear
    Department Medical Physics

Referencias

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American College of Radiology. ACR Mammography Quality Control Manual, Reston, VA, 1999.

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dcm4chee.org - Open Source Clinical Image and Object Management. Available at: <http://www.dcm4che.org/>. Last accessed: 02 May. 2017

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Publicado

2019-01-28

Número

Vol. 7 Núm. 1A (Suppl.) (2019)

Sección

Simposio Internacional sobre Protección Radiológica en Medicina - Arequipa 2017

Licencia

Derechos de autor 2021 Brazilian Journal of Radiation Sciences (BJRS)

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

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Cómo citar

Development of an automatic tool for dose management in digital mammography. Brazilian Journal of Radiation Sciences (BJRS), Rio de Janeiro, Brazil, v. 7, n. 1A (Suppl.), 2019. DOI: 10.15392/bjrs.v7i1A.463. Disponível em: https://bjrs.org.br/revista/index.php/REVISTA/article/view/463. Acesso em: 17 jul. 2025.