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

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P12<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 />

COMPARISON OF CUMULUS MAMMOGRAPHIC DENSITY READINGS BETWEEN<br />

FUJIFILM COMPUTED RADIOGRAPHY DIGITAL MAMMOGRAPHIC IMAGES IN<br />

RAW AND DISPLAY FORMATS<br />

Caroline Dickens, Valerie McCormack<br />

Secti<strong>on</strong> of Envir<strong>on</strong>ment <strong>and</strong> Radiati<strong>on</strong>, <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> Agency for Research <strong>on</strong> Cancer, Ly<strong>on</strong> 69008,<br />

FRANCE.<br />

Background: The processing of digital mammograms from their raw to processed or display formats in<br />

order to improve tumor detecti<strong>on</strong> involves manipulati<strong>on</strong> of the image c<strong>on</strong>trast by means of proprietary<br />

image processing algorithms, which differ between vendors. It has been recommended that raw images<br />

be used for estimati<strong>on</strong> of mammographic density as they maintain image c<strong>on</strong>trast, but in some instances<br />

they are not available. Recent studies have shown a good correlati<strong>on</strong> in percent breast density (PD)<br />

between raw <strong>and</strong> processed images acquired using the General Electric Senographe FFDM<br />

mammography units. We wished to see if similar comparability exists between PD readings performed<br />

<strong>on</strong> raw <strong>and</strong> processed images obtained using the Fujifilm Computed Radiography (CR) imaging system.<br />

ABSTRACTS<br />

Methods: Bilateral raw <strong>and</strong> processed craniocaudal (CC) Fujifilm CR images were obtained for 100<br />

women. Images were processed using the Fujifilm Image Intelligence algorithm. 400 images (100<br />

women x 2 breasts x 2 formats) were an<strong>on</strong>ymized <strong>and</strong> r<strong>and</strong>omly sorted into 5 batches of 80 prior to<br />

reading. PD was estimated by a trained observer (VM) using an interactive-threshold method (Cumulus3).<br />

Comparis<strong>on</strong>s of PD <strong>and</strong> absolute dense area between the raw <strong>and</strong> processed images were c<strong>on</strong>ducted using<br />

Spearman’s rank correlati<strong>on</strong> coefficient (r), t-tests for mean differences <strong>and</strong> kappa statistics for the<br />

agreement of categories. Differences according to level of density were also examined.<br />

Results: Minimum-maximum ranges (0-55% for raw <strong>and</strong> 0-58% for processed images) were similar in<br />

the two image output formats, but processed images had a larger st<strong>and</strong>ard deviati<strong>on</strong> (14.8 vs 12.8). Mean<br />

PD was 22.8% (95% c<strong>on</strong>fidence interval (CI): 21.0, 24.6) for raw images <strong>and</strong> 25.9 (23.8, 27.9) for<br />

processed images. Processed images had a mean PD 3.1 (2.0, 4.1) absolute percentage points higher than<br />

in the corresp<strong>on</strong>ding raw image. For raw images with PD in the range

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