Microvascular Ultrasonic Imaging of Angiogenesis Identifies Tumors in a Murine Spontaneous Breast Cancer Model
The purpose of this study is to determine if microvascular tortuosity can be used as an imaging biomarker for the presence of tumor-associated angiogenesis and if imaging this biomarker can be used as a specific and sensitive method of locating solid tumors. Acoustic angiography, an ultrasound-based...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2020/7862089 |
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| author | Sarah E. Shelton Jodi Stone Fei Gao Donglin Zeng Paul A. Dayton |
| author_facet | Sarah E. Shelton Jodi Stone Fei Gao Donglin Zeng Paul A. Dayton |
| author_sort | Sarah E. Shelton |
| collection | DOAJ |
| description | The purpose of this study is to determine if microvascular tortuosity can be used as an imaging biomarker for the presence of tumor-associated angiogenesis and if imaging this biomarker can be used as a specific and sensitive method of locating solid tumors. Acoustic angiography, an ultrasound-based microvascular imaging technology, was used to visualize angiogenesis development of a spontaneous mouse model of breast cancer (n=48). A reader study was used to assess visual discrimination between image types, and quantitative methods utilized metrics of tortuosity and spatial clustering for tumor detection. The reader study resulted in an area under the curve of 0.8, while the clustering approach resulted in the best classification with an area under the curve of 0.95. Both the qualitative and quantitative methods produced a correlation between sensitivity and tumor diameter. Imaging of vascular geometry with acoustic angiography provides a robust method for discriminating between tumor and healthy tissue in a mouse model of breast cancer. Multiple methods of analysis have been presented for a wide range of tumor sizes. Application of these techniques to clinical imaging could improve breast cancer diagnosis, as well as improve specificity in assessing cancer in other tissues. The clustering approach may be beneficial for other types of morphological analysis beyond vascular ultrasound images. |
| format | Article |
| id | doaj-art-5ef0ba4e27154c1b85968fef3f9fa697 |
| institution | OA Journals |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-5ef0ba4e27154c1b85968fef3f9fa6972025-08-20T02:23:39ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962020-01-01202010.1155/2020/78620897862089Microvascular Ultrasonic Imaging of Angiogenesis Identifies Tumors in a Murine Spontaneous Breast Cancer ModelSarah E. Shelton0Jodi Stone1Fei Gao2Donglin Zeng3Paul A. Dayton4Joint Department of Biomedical Engineering, UNC Chapel Hill and NC State Raleigh, 27599, USAJoint Department of Biomedical Engineering, UNC Chapel Hill and NC State Raleigh, 27599, USADepartment of Biostatistics, UNC Chapel Hill, 27599, USADepartment of Biostatistics, UNC Chapel Hill, 27599, USAJoint Department of Biomedical Engineering, UNC Chapel Hill and NC State Raleigh, 27599, USAThe purpose of this study is to determine if microvascular tortuosity can be used as an imaging biomarker for the presence of tumor-associated angiogenesis and if imaging this biomarker can be used as a specific and sensitive method of locating solid tumors. Acoustic angiography, an ultrasound-based microvascular imaging technology, was used to visualize angiogenesis development of a spontaneous mouse model of breast cancer (n=48). A reader study was used to assess visual discrimination between image types, and quantitative methods utilized metrics of tortuosity and spatial clustering for tumor detection. The reader study resulted in an area under the curve of 0.8, while the clustering approach resulted in the best classification with an area under the curve of 0.95. Both the qualitative and quantitative methods produced a correlation between sensitivity and tumor diameter. Imaging of vascular geometry with acoustic angiography provides a robust method for discriminating between tumor and healthy tissue in a mouse model of breast cancer. Multiple methods of analysis have been presented for a wide range of tumor sizes. Application of these techniques to clinical imaging could improve breast cancer diagnosis, as well as improve specificity in assessing cancer in other tissues. The clustering approach may be beneficial for other types of morphological analysis beyond vascular ultrasound images.http://dx.doi.org/10.1155/2020/7862089 |
| spellingShingle | Sarah E. Shelton Jodi Stone Fei Gao Donglin Zeng Paul A. Dayton Microvascular Ultrasonic Imaging of Angiogenesis Identifies Tumors in a Murine Spontaneous Breast Cancer Model International Journal of Biomedical Imaging |
| title | Microvascular Ultrasonic Imaging of Angiogenesis Identifies Tumors in a Murine Spontaneous Breast Cancer Model |
| title_full | Microvascular Ultrasonic Imaging of Angiogenesis Identifies Tumors in a Murine Spontaneous Breast Cancer Model |
| title_fullStr | Microvascular Ultrasonic Imaging of Angiogenesis Identifies Tumors in a Murine Spontaneous Breast Cancer Model |
| title_full_unstemmed | Microvascular Ultrasonic Imaging of Angiogenesis Identifies Tumors in a Murine Spontaneous Breast Cancer Model |
| title_short | Microvascular Ultrasonic Imaging of Angiogenesis Identifies Tumors in a Murine Spontaneous Breast Cancer Model |
| title_sort | microvascular ultrasonic imaging of angiogenesis identifies tumors in a murine spontaneous breast cancer model |
| url | http://dx.doi.org/10.1155/2020/7862089 |
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