3Dマンモグラフィーは高濃度乳腺におけるがん検出率を向上させる(Abstract VSBR31-16)

デジタルマンモグラフィーとトモシンセシスの併用は高濃度乳腺組織のがん検出率を向上させる
Digital mammography plus tomosynthesis increases cancer detection rate in dense breast tissue
2014年Radiological Society of North America年次集会で発表された新たな大規模スタディの結果、3Dマンモグラフィーとしても知られるデジタル乳房トモシンセシスは、高濃度乳腺の女性のマンモグラフィースクリーニングにおけるがん検出率を有意に向上させる可能性のあることが示された。研究者らは、50~69歳の女性25,547人において、フルデジタルマンモグラフィー(FFDM)を用いた際のがん検出率とFFDMとデジタル乳房トモシンセシスを併用した際の検出率とを比較した。乳腺濃度はAmerican College of Radiology's Breast Imaging-Reporting and Data System(BI-RADS)に基づき分類された。FFDMおよびFFDMとトモシンセシスの併用により257例の悪性症例が検出され、うち105人はBI-RADS濃度がカテゴリー2であり110人はカテゴリー3であった。がん257症例のうち、211人(82%)がFFDMとトモシンセシスの併用により検出され、FFDMのみで検出された163人(63%)よりも有意に良好であった。FFDMとトモシンセシスの併用は、高濃度乳腺女性の132がん症例のうち80%においてがんを正確に示したのに対し、FFDMのみでは59%であった。トモシンセシスは高濃度乳腺の女性におけるがん検出率を向上させたのみならず、BI-RADSカテゴリーで"脂肪過多な乳房"の女性における検出率向上にも役立った。
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A major new study presented at the 2014 annual meeting of the Radiological Society of North America (RSNA) has found that digital breast tomosynthesis, also known as 3-D mammography, has the potential to significantly increase the cancer detection rate in mammography screening of women with dense breasts.

Breasts are considered dense if they have a lot of fibrous or glandular tissue but not much fatty tissue. Research has shown that dense breasts are more likely to develop cancer, a problem compounded by the fact that cancer in dense breasts can be difficult to detect on mammograms.

Other imaging modalities like ultrasound and MRI are often used to help find cancers that can't be seen on mammograms, but both modalities have higher rates of false-positive findings. This higher false-positive rate often results in more tests and unnecessary biopsies, making MRI and ultrasound expensive to implement in high-volume screening programs, according to study lead author Per Skaane, M.D., Ph.D., from the Department of Radiology at Oslo University Hospital in Oslo, Norway.

Dr. Skaane and colleagues have been studying tomosynthesis as a promising breast cancer screening option that addresses some of the limitations of mammography by providing 3-D views of the breast.

"Tomosynthesis could be regarded as an improvement of mammography and would be much easier than MRI or ultrasound to implement in organized screening programs," Dr. Skaane said. "So the intention of our study was to see if tomosynthesis really would significantly increase the cancer detection rate in a population-based mammography screening program."

The researchers compared cancer detection using full-field digital mammography (FFDM) versus FFDM plus digital breast tomosynthesis in 25,547 women between the ages of 50 and 69. Breast density was classified based on the American College of Radiology's Breast Imaging-Reporting and Data System (BI-RADS). The BI-RADS breast density scale runs from 1 to 4, with 1 being the least dense and 4 being the most dense.

There were 257 malignancies detected on FFDM and a combination of FFDM and tomosynthesis in the study group, including 105 in the BI-RADS density 2 group and 110 in density 3. Of the 257 cancers, 211, or 82 percent were detected with FFDM plus tomosynthesis, a significant improvement over the 163, or 63 percent, detected with FFDM alone.

FFDM plus tomosynthesis pinpointed 80 percent of the 132 cancer cases in women with dense breasts, compared to only 59 percent for FFDM alone.

"Our findings are extremely promising, showing an overall relative increase in the cancer detection rate of about 30 percent," Dr. Skaane said. "Stratifying the results on invasive cancers only, the relative increase in cancer detection was about 40 percent."

Tomosynthesis not only improved the cancer detection rate in women with dense breasts, it also helped increase detection for women in the "fatty breast" BI-RADS categories. The addition of tomosynthesis to FFDM improved the cancer detection rate from 68 percent to 84 percent in women with BI-RADS density 1 or 2 breasts.

"Our results show that implementation of tomosynthesis might indicate a new era in breast cancer screening," Dr. Skaane said.

Co-authors on the study are Bjorn Helge Osteras, M.Sc., Ellen B. Eben, M.D., and Randi Gullien, R.T.