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Fine tumor evaluation within the metastatic rabbit lymph nodes using the ultrasound contrast agent

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dc.contributor.advisor이학종-
dc.contributor.authorHyun Jae Lee-
dc.date.accessioned2017-07-19T10:57:27Z-
dc.date.available2018-01-23-
dc.date.issued2016-08-
dc.identifier.other000000137189-
dc.identifier.urihttps://hdl.handle.net/10371/133219-
dc.description학위논문 (석사)-- 서울대학교 융합과학기술대학원 : 융합과학부, 2016. 8. 이학종.-
dc.description.abstractThis study was conducted with the aim of establishing complicated metastatic tumor rabbit models, see how ultrasound contrast agent is imaged inside the metastatic lymph nodes (LN) of the induced tumor rabbit models, and to find out the threshold minimum and maximum sizes of tumors that contrast agent could distinguish. 11 tumor rabbit models were used in total, and three groups were divided based on the number of subculture days. Among every group, sizes of the normal LN and the metastatic LN were similar, but all of metastatic LN were significantly larger than those of the normal lymph nodes. Appearances of the induced tumors within the LN however, were notably different, and the acquired ultrasound images showed the possibility of spotting precise areas of tumors even when tumors were partially induced, when the contrast agent was injected. In the future, based on these established animal models, various ultrasound experiments using Nano-sized contrast agents and comparative pathology evaluation research would be carried out.-
dc.description.tableofcontents1. Introduction 1

2. Background 5
2.1 Medical Ultrasound 5
2.2 Ultrasound Contrast Imaging 7
2.3 Ultrasound Contrast agent 10

3. Methods 13

4. Results 14

5. Discussion 30

6. Bibliography 35

7. Abstract in Korean 40
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dc.formatapplication/pdf-
dc.format.extent1122306 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 융합과학기술대학원-
dc.subjectmetastatic tumor detection-
dc.subject.ddc620-
dc.titleFine tumor evaluation within the metastatic rabbit lymph nodes using the ultrasound contrast agent-
dc.typeThesis-
dc.description.degreeMaster-
dc.citation.pages41-
dc.contributor.affiliation융합과학기술대학원 융합과학부-
dc.date.awarded2016-08-
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