GOAL: Abnormalities of microvascular morphology have been associated with tumor angiogenesis for more than a decade, and are believed to be intimately related to both tumor malignancy and response to treatment. However, the study of these vascular changes in-vivo has been challenged due to the lack of imaging approaches which can assess the microvasculature in 3-D volumes noninvasively. Here, we use contrast-enhanced "acoustic angiography" ultrasound imaging to observe and quantify heterogeneity in vascular morphology around solid tumors. METHODS: Acoustic angiography, a recent advance in contrast-enhanced ultrasound imaging, generates high-resolution microvascular images unlike anything possible with standard ultrasound imaging techniques. Acoustic angiography images of a genetically engineered mouse breast cancer model were acquired to develop an image acquisition and processing routine that isolated radially expanding regions of a 3-D image from the tumor boundary to the edge of the imaging field for assessment of vascular morphology of tumor and surrounding vessels. RESULTS: Quantitative analysis of vessel tortuosity for the tissue surrounding tumors 3 to 7 mm in diameter revealed that tortuosity decreased in a region 6 to 10 mm from the tumor boundary, but was still significantly elevated when compared to control vasculature. CONCLUSION: Our analysis of angiogenesis-induced changes in the vasculature outside the tumor margin reveals that the extent of abnormal tortuosity extends significantly beyond the primary tumor mass. SIGNIFICANCE: Visualization of abnormal vascular tortuosity may make acoustic angiography an invaluable tool for early tumor detection based on quantifying the vascular footprint of small tumors and a sensitive method for understanding changes in the vascular microenvironment during tumor progression.
GOAL: Abnormalities of microvascular morphology have been associated with tumor angiogenesis for more than a decade, and are believed to be intimately related to both tumor malignancy and response to treatment. However, the study of these vascular changes in-vivo has been challenged due to the lack of imaging approaches which can assess the microvasculature in 3-D volumes noninvasively. Here, we use contrast-enhanced "acoustic angiography" ultrasound imaging to observe and quantify heterogeneity in vascular morphology around solid tumors. METHODS: Acoustic angiography, a recent advance in contrast-enhanced ultrasound imaging, generates high-resolution microvascular images unlike anything possible with standard ultrasound imaging techniques. Acoustic angiography images of a genetically engineered mousebreast cancer model were acquired to develop an image acquisition and processing routine that isolated radially expanding regions of a 3-D image from the tumor boundary to the edge of the imaging field for assessment of vascular morphology of tumor and surrounding vessels. RESULTS: Quantitative analysis of vessel tortuosity for the tissue surrounding tumors 3 to 7 mm in diameter revealed that tortuosity decreased in a region 6 to 10 mm from the tumor boundary, but was still significantly elevated when compared to control vasculature. CONCLUSION: Our analysis of angiogenesis-induced changes in the vasculature outside the tumor margin reveals that the extent of abnormal tortuosity extends significantly beyond the primary tumor mass. SIGNIFICANCE: Visualization of abnormal vascular tortuosity may make acoustic angiography an invaluable tool for early tumor detection based on quantifying the vascular footprint of small tumors and a sensitive method for understanding changes in the vascular microenvironment during tumor progression.
Authors: James S Duncan; Martin C Whittle; Kazuhiro Nakamura; Amy N Abell; Alicia A Midland; Jon S Zawistowski; Nancy L Johnson; Deborah A Granger; Nicole Vincent Jordan; David B Darr; Jerry Usary; Pei-Fen Kuan; David M Smalley; Ben Major; Xiaping He; Katherine A Hoadley; Bing Zhou; Norman E Sharpless; Charles M Perou; William Y Kim; Shawn M Gomez; Xin Chen; Jian Jin; Stephen V Frye; H Shelton Earp; Lee M Graves; Gary L Johnson Journal: Cell Date: 2012-04-13 Impact factor: 41.582
Authors: Anastasiia Panfilova; Sarah E Shelton; Cristina Caresio; Ruud J G van Sloun; Filippo Molinari; Hessel Wijkstra; Paul A Dayton; Massimo Mischi Journal: Ultrasound Med Biol Date: 2018-11-30 Impact factor: 2.998
Authors: Emmanuel Cherin; Jianhua Yin; Alex Forbrich; Christopher White; Paul A Dayton; F Stuart Foster; Christine E M Démoré Journal: Ultrasound Med Biol Date: 2019-06-11 Impact factor: 2.998
Authors: Brooks D Lindsey; Jinwook Kim; Paul A Dayton; Xiaoning Jiang Journal: IEEE Trans Ultrason Ferroelectr Freq Control Date: 2017-05-08 Impact factor: 2.725
Authors: Thomas M Kierski; David Espindola; Isabel G Newsome; Emmanuel Cherin; Jianhua Yin; F Stuart Foster; Christine E M Demore; Gianmarco F Pinton; Paul A Dayton Journal: IEEE Trans Ultrason Ferroelectr Freq Control Date: 2020-01-10 Impact factor: 2.725