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Since mammograms are the best way to detect the early stages of cancer, regardless of the size of your breasts, a mammogram should be part of your medical routine. Getting a mammogram with small breasts is not much different than any other breast size, but people still have questions about mammograms for flat chests.

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There must be enough breast tissue to get an accurate image from a mammogram. Some women with small breasts worry they lack sufficient tissue, but the truth is that everyone has enough breast tissue for a mammogram. An experienced technologist should be able to image breasts of any size.

There is generally no difference in catching the early stages of cancer in small or large breasts, so mammograms are 80 to 90% accurate no matter what size the breasts are. Again, the density of the breast tissue can make it challenging to spot abnormalities. However, this varies from person to person and is unrelated to the size of the breasts.

Thinner tissue also allows for a clearer image, which enables health professionals to spot any abnormalities or growths more easily." } },{ "@type": "Question", "name": "Is Cancer Harder to Detect in Small Breasts?", "acceptedAnswer": { "@type": "Answer", "text": "There is generally no difference in catching the early stages of cancer in small or large breasts, so mammograms are 80 to 90% accurate no matter what size the breasts are. Again, the density of the breast tissue can make it challenging to spot abnormalities. However, this varies from person to person and is unrelated to the size of the breasts.

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A well-endowed person might struggle with strappy floss bikini tops (although you'd obviously still look fab, for anyone with big bewbs that's reading). This is one for all the small-busted ladies out there ?.

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Table i presents the baseline clinical characteristics of the patients in the three groups. Mean age at diagnosis was similar across the three tumour categories. Compared with smaller tumours, larger tumours were associated with a greater probability of lymph node involvement; they were also more likely to be er-negative and to have been treated with mastectomy.

The difference in survival patterns is apparent when the 10-year follow-up period is inspected closely (Figure 2). In the first 3 years after diagnosis, the survival curve for 2.0-cm breast cancers tracks with the larger cancers (Figure 3). In the period from 3 to 10 years, the 2.0-cm cancers track with the smaller cancers (Figure 4). We confirmed those differences in a statistical model, using a Cox proportional hazards analysis of survival and dividing the follow-up period into two. Table ii presents the results of the univariable and multivariable analyses. In the adjusted analysis, the hazard ratio for 2.0-cm cancers compared with smaller cancers was 1.51 in the first 3 years (95% confidence interval: 1.01 to 2.27) and 1.04 for years 3 to 10 (95% confidence interval: 0.74 to 1.45). In contrast, the effect of nodal status on prognosis was similar for the two time periods. The survival advantage for er-positive patients was apparent in the two time periods, but attenuated with time (Table ii).

Among the 4265 patients, 2269 had node-negative cancer, and 1741 had node-positive cancer. The shift from poor prognosis to good prognosis at year 3 or thereabouts was particularly evident in the node-positive cancers (Figure 5). Figure 6 presents the experience of the 501 patients with triple-negative cancers. In this subgroup, the survival experience for women with cancers of all sizes was similar for the first 2 years; thereafter, the intermediate-size (2.0-cm) cancers tracked with the smaller cancers. 041b061a72