| Project/Area Number |
23591772
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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 | Kochi University |
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Principal Investigator |
KUBOTA KEI 高知大学, 教育研究部医療学系, 講師 (00304684)
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| Co-Investigator(Kenkyū-buntansha) |
OGAWA Yasuhiro 高知大学, 教育研究部医療学系, 准教授 (90152397)
NISHIOKA Akihito 高知大学, 教育研究部医療学系, 講師 (70237668)
HAMADA Norihiko 高知大学, 教育研究部医療学系, 助教 (50423471)
KARIYA Shinji 高知大学, 教育研究部医療学系, 助教 (20314990)
TAMURA Taiji 高知大学, 教育研究部医療学系, 医員 (80618124)
KATAOKA Yuko 高知大学, 医学部附属病院, 医員 (90457391)
IWASA Hitomi 高知大学, 医学部附属病院, 医員 (90566499)
SUZUKI Yusuke 高知大学, 医学部附属病院, 医員 (40587531)
AOYAMA Nobutaka 高知大学, 医学部附属病院, 医員 (30614383)
OHGI Kenta 高知大学, 医学部附属病院, 医員 (50614385)
MORIO Kazuo 高知大学, 医学部附属病院, 診療放射線技師 (10618185)
YAOGAWA Shin 高知大学, 医学部附属病院, 診療放射線技師 (20618186)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
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| Keywords | MRI / 乳癌 / 拡散強調画像 / 抗癌剤 / 治療効果予測 / 化学療法 / 治療効果 |
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| Research Abstract |
Although Neoadjuvant chemotherapy (NACT) produces good results for breast cancer patients, it has the potential to delay effective treatment in patients with chemotherapy-resistant breast cancer. The purpose of the present study was to evaluate the utility of the pretreatment apparent diffusion coefficient (ADC), which is calculated from diffusion-weighted imaging (DWI), the change in ADC after first administration of NACT, and the change in tumor greatest diameter on ultrasonography in the early prediction of the tumor response to NACT. Only the change in ADC was significantly correlated with the response rate. The area under the curve of the change in ADC was sufficiently high (0.90, 95% confidence interval, 0.760-1.040) to discriminate between responders and non-responders. Calculation of the ADC from DWI-MRI was found to be useful for predicting breast tumor response to NACT.
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