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6th International Workshop on Breast Densitometry and Breast ...

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P26<br />

6 th <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>Workshop</str<strong>on</strong>g> <strong>on</strong> <strong>Breast</strong> <strong>Densitometry</strong><br />

<strong>and</strong> <strong>Breast</strong> Cancer Risk Assessment<br />

CHALLENGES IN DE-IDENTIFYING FILM-SCREEN MAMMOGRAMS PRIOR TO BREAST<br />

DENSITY ASSESSMENT FOR THE NOVICE PRACTITIONER<br />

J Jobling, C D’Este, JF Forbes<br />

School of Medicine <strong>and</strong> Public Health, University of Newcastle, NSW Australia<br />

Introducti<strong>on</strong>: Measurement of breast density <strong>on</strong> mammograms presents many challenges. Film-screen<br />

mammograms require c<strong>on</strong>versi<strong>on</strong> to digital format prior to assessment with computer software, but<br />

c<strong>on</strong>tain burned-in areas of identifying informati<strong>on</strong> that should be removed to protect participant privacy.<br />

We are undertaking a retrospective linkage study in at least 4,000 women between the lower Hunter New<br />

Engl<strong>and</strong> (NSW Australia) <strong>Breast</strong>Screen <strong>and</strong> the NSW 45 <strong>and</strong> Up Study to examine l<strong>on</strong>gitudinal changes<br />

in breast density <strong>and</strong> breast cancer risk. The BIRADS density categories are not routinely employed in<br />

Australia hence density will be assessed via the Cumulus software <strong>and</strong>/or visual methods. A simple,<br />

efficient <strong>and</strong> inexpensive method to de-identify thous<strong>and</strong>s of film-screen mammograms is needed.<br />

Coverage of identifying areas <strong>on</strong> film with st<strong>and</strong>ard sticky labels during digitisati<strong>on</strong> <strong>on</strong> an Array 2905HD<br />

laser scanner is not effective due to the strength of the laser. Our aim was to evaluate a range of software<br />

programs available for this purpose.<br />

ABSTRACTS<br />

Methods: Software capable of quickly <strong>and</strong> easily batch de-identifying digital images in DICOM format<br />

was sought via general internet searches using the terms ‘DICOM an<strong>on</strong>ymizer burned in’; searches in<br />

PubMed using similar terms were also undertaken. Software was evaluated by: 1) its capacity to easily<br />

batch de-identify DICOM images with burned-in identifying areas (i.e. digitised film-screen<br />

mammograms), 2) the ability to easily remove DICOM header informati<strong>on</strong> from digital mammograms,<br />

<strong>and</strong> 3) retenti<strong>on</strong> of detail <strong>and</strong> compatibility with the Cumulus software post-processing.<br />

Results: More than 60 free DICOM viewers <strong>and</strong> 20 de-identifiers/an<strong>on</strong>ymisers were identified<br />

(dclunie.com). Searches in PubMed found two useful, recent (

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