Literature DB >> 15815100

Are phantoms useful for predicting the potential of dose reduction in full-field digital mammography?

Gisella Gennaro1, Luc Katz, Henri Souchay, Claudio Alberelli, Cosimo di Maggio.   

Abstract

A phantom study was performed in full-field digital mammography to investigate the opportunity and the magnitude of a possible dose reduction that would leave the image quality above the accepted thresholds associated with some classical phantoms. This preliminary work is intended to lay the groundwork for a future clinical study on the impact of dose reduction on clinical results. Three different mammography phantoms (ACR RMI 156, CIRS 11A and CDMAM 3.4) were imaged by a full-field digital mammography unit (GE Senographe 2000D) at different dose levels. Images were rated by three observers with softcopy reading and scoring methods specific to each phantom. Different types of data analysis were applied to the ACR (American College of Radiology) and the other two phantoms, respectively. With reference to the minimum acceptance score in screen/film accreditation programmes, the ACR phantom showed that about 45% dose reduction could be applied, while keeping the phantom scores above that threshold. A relative comparison was done for CIRS and CDMAM, for which no threshold is defined. CIRS scoring remained close to the reference level down to 40% dose reduction, the inter- and intra-observer variability being the main source of uncertainty. Contrast-detail curves provided by CDMAM overlapped down to 50% dose reduction, at least for object contrast values ranging between 30% and 3%. This multi-phantom study shows the potential of further reducing the dose in full-field digital mammography beyond the current values. A common dose reduction factor around 50% seems acceptable for all phantoms. However, caution is required before extrapolating the results for clinical use, given the limitations of these widely used phantoms, mainly related to their limited dynamic range and uniform background.

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Year:  2005        PMID: 15815100     DOI: 10.1088/0031-9155/50/8/015

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

1.  A technique optimization protocol and the potential for dose reduction in digital mammography.

Authors:  Nicole T Ranger; Joseph Y Lo; Ehsan Samei
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

2.  Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies.

Authors:  Mark Ruschin; Pontus Timberg; Magnus Båth; Bengt Hemdal; Tony Svahn; Rob S Saunders; Ehsan Samei; Ingvar Andersson; Soren Mattsson; Dev P Chakrabort; Anders Tingber
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

3.  Evaluation of mean glandular dose and modulation transfer function for different tube potentials and target-filter combinations in computed radiography mammography.

Authors:  Siti Aishah Abdul Aziz; Abdul Khaliq Mohd Saparudin; Ahmad Zaky Harun
Journal:  Malays J Med Sci       Date:  2013-05

Review 4.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

5.  Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study.

Authors:  Su Min Ha; Hak Hee Kim; Eunhee Kang; Bo Kyoung Seo; Nami Choi; Tae Hee Kim; You Jin Ku; Jong Chul Ye
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-12-11

6.  Dose reduction in automatic optimization parameter of full field digital mammography: breast phantom study.

Authors:  Myung-Su Ko; Hak Hee Kim; Joo Hee Cha; Hee Jung Shin; Jeoung Hyun Kim; Min Jeong Kim
Journal:  J Breast Cancer       Date:  2013-03-31       Impact factor: 3.588

  6 in total

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