Population-Based Statistics for Women Diagnosed with Inflammatory Breast Cancer (United States)
Objective: The purpose of this study was to use population-based information to describe the demographic and tumor characteristics of inflammatory breast cancer (IBC) - the most aggressive form of this disease. Methods: IBC cases diagnosed during 1994 through 1998 were reported to 26 population-base...
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Published in | Cancer causes & control Vol. 15; no. 3; pp. 321 - 328 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Kluwer Academic Publishers
01.04.2004
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | Objective: The purpose of this study was to use population-based information to describe the demographic and tumor characteristics of inflammatory breast cancer (IBC) - the most aggressive form of this disease. Methods: IBC cases diagnosed during 1994 through 1998 were reported to 26 population-based cancer registries covering approximately 40% of the US population. Rates were expressed per 100,000 female population and age-adjusted to the 2000 US population. Ninety-five percent gamma confidence limits were estimated for the rates. Results: Among the 3626 women diagnosed with IBC during 1994-1998, the majority were 40-59 years old. Most tumors were diagnosed at a regional (68.9%) or distant (25.3%) stage and were poorly differentiated (49.4%). The rate of IBC was 1.3 per 100,000 for all races combined. Black women had the highest risk (1.6) and Asian and Pacific Islander women the lowest (0.7). Conclusions: IBC is an extremely rare form of breast cancer. More precise diagnostic criteria are needed to distinguish it from less aggressive forms of the disease. Future studies should use a population-based design and collect detailed clinical information, including the presence of erythema, edema or peau d'orange appearance of the skin, and other clinical signs of disease. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0957-5243 1573-7225 |
DOI: | 10.1023/B:CACO.0000024222.61114.18 |