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In Vivo Imaging Approaches to Study ...

Suero Abreu, Giselle Alexandra.

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In Vivo Imaging Approaches to Study Tumorigenesis in Preclinical Cancer Models.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	In Vivo Imaging Approaches to Study Tumorigenesis in Preclinical Cancer Models./
作者:	Suero Abreu, Giselle Alexandra.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2015,
面頁冊數:	203 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
Contained By:	Dissertation Abstracts International76-12B(E).
標題:	Medical imaging. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3716611
ISBN:	9781321955064

In Vivo Imaging Approaches to Study Tumorigenesis in Preclinical Cancer Models.
Suero Abreu, Giselle Alexandra.

In Vivo Imaging Approaches to Study Tumorigenesis in Preclinical Cancer Models. - Ann Arbor : ProQuest Dissertations & Theses, 2015 - 203 p.

Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.

Thesis (Ph.D.)--New York University, 2015.

This item is not available from ProQuest Dissertations & Theses.

Significant progress has been made in our understanding of tumor pathogenesis as a result of the successful generation of many genetically engineered mouse models of human cancers. However, most studies of mouse models continue to rely on static, two-dimensional (2D) traditional histological methods, while tumorigenesis is a complex, dynamic and inherently three-dimensional (3D) process. In this thesis, I addressed this limitation by implementing several micro-imaging modalities as powerful tools for the in vivo, 3D and longitudinal characterization of different aspects of tumor progression in two preclinical cancer models.

ISBN: 9781321955064Subjects--Topical Terms:

3172799
Medical imaging.

In Vivo Imaging Approaches to Study Tumorigenesis in Preclinical Cancer Models.
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245 1 0 $a In Vivo Imaging Approaches to Study Tumorigenesis in Preclinical Cancer Models.
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300 $a 203 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
500 $a Includes supplementary digital materials.
500 $a Adviser: Daniel H. Turnbull.
502 $a Thesis (Ph.D.)--New York University, 2015.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a Significant progress has been made in our understanding of tumor pathogenesis as a result of the successful generation of many genetically engineered mouse models of human cancers. However, most studies of mouse models continue to rely on static, two-dimensional (2D) traditional histological methods, while tumorigenesis is a complex, dynamic and inherently three-dimensional (3D) process. In this thesis, I addressed this limitation by implementing several micro-imaging modalities as powerful tools for the in vivo, 3D and longitudinal characterization of different aspects of tumor progression in two preclinical cancer models.
520 $a First, I implemented and optimized both high-resolution and high-throughput protocols using Manganese-Enhanced MRI (MEMRI) for the detection and longitudinal imaging of tumors in a Patched-1 (Ptch1) conditional knockout (CKO) model of medulloblastoma. These studies showed that MEMRI is a powerful method for the in vivo detection of the early stages of medulloblastoma and provided the first direct evidence of the distinct tumorigenic capabilities of individual pre-tumoral lesions as they progress to advanced medulloblastomas.
520 $a Second, I used a genetic imaging approach to non-invasively analyze specific molecular changes underlying vascular development in tumors. For this, I validated a novel targeting system for the in vivo labeling and multimodal molecular imaging of Tie2-expressing blood vessels in mouse melanomas, using ultrasound, near infrared and MRI. The results of this work provide the first evidence for the feasibility of in vivo labeling and 3D longitudinal assessment of spatio-temporal changes in vascular Tie2, from early to advanced tumor stages.
520 $a Collectively, this dissertation highlights the crucial role of in vivo imaging approaches for the morphological and pathophysiological characterization of tumors. The methodology applied in this work for MEMRI and targeted molecular imaging provides a foundation for future studies about medulloblastoma progression and tumor angiogenesis. In addition, these approaches could potentially be expanded to study other tumor models and diseases, and to inform the design of future preclinical therapeutic studies.
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