Utility of diffusion tensor imaging in predicting pathological T-factor in breast cancer showing non-mass enhancement on breast MRI
| Project/Area Number |
24591773
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Radiation science
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| Research Institution | Kyushu University |
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Principal Investigator |
YABUUCHI Hidetake 九州大学, 医学(系)研究科(研究院), 准教授 (70380623)
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| Co-Investigator(Kenkyū-buntansha) |
佐々木 雅之 九州大学, 医学(系)研究科(研究院), 教授 (40240907)
熊澤 誠志 九州大学, 医学(系)研究科(研究院), 講師 (50363354)
平田 秀紀 九州大学, 医学(系)研究科(研究院), 教授 (70173242)
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| Co-Investigator(Renkei-kenkyūsha) |
神谷 武志 (20419534)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 拡散テンソル / 乳癌 / 腫瘤非形成性病変 / MRI / 非腫瘤形成性病変 / 国際情報交換 |
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| Outline of Final Research Achievements |
To examine the utility of diffusion tensor imaging in predicting the pathological T-factor of breast cancer showing non-mass enhancement on breast MRI. We enrolled 87 patients who showed non-mass enhancement and were surgically confirmed as breast cancer. They were divided into 4 groups according to pathological T-factor: Tis+T1Mi, T1a+T1b, T1c, and T2. We compared mean ADC and mean FA of lesion and normal breast within each group , and compared mean ADC and mean FA of Tis+T1Mi lesions with those of T1a+T1b, T1c, and T2 groups. Tumors showed significantly lower ADCs than normal breast in each group and significantly lower FA than normal breast except in Tis + T1Mi. Mean ADCs in tumor of T1a+T1b, T1c and T2 were not significantly different from that of Tis+T1Mi group. Mean FA in tumors of T1a+T1b, T1c, and T2 groups were significantly lower than that of Tis+T1Mi.
In conclusions, FA might be useful in predicting the pathological T-factor of breast cancer showing non-mass enhancement.
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Report
(4 results)
Research Products
(3 results)
