Research Papers: Imaging

Efficient measurement of total tumor microvascularity ex vivo using a mathematical model to optimize volume subsampling

[+] Author Affiliations
Bryan Q. Spring, Akilan Palanisami, Lei Zak Zheng

Massachusetts General Hospital, Wellman Center for Photomedicine, Harvard Medical School, Boston, Massachusetts

Amy E. Blatt

Harvard-MIT Health Sciences and Technology, Cambridge, Massachusetts

R. Bryan Sears

Massachusetts General Hospital, Wellman Center for Photomedicine, Harvard Medical School, Boston, Massachusetts

Emmanuel College, Department of Chemistry, Boston, Massachusetts

Tayyaba Hasan

Massachusetts General Hospital, Wellman Center for Photomedicine, Harvard Medical School, Boston, Massachusetts

Harvard-MIT Health Sciences and Technology, Cambridge, Massachusetts

Massachusetts General Hospital, Department of Dermatology, Boston, Massachusetts

J. Biomed. Opt. 18(9), 096015 (Sep 25, 2013). doi:10.1117/1.JBO.18.9.096015
History: Received July 19, 2013; Revised August 15, 2013; Accepted August 16, 2013
Text Size: A A A

Abstract.  We introduce immunofluorescence and automated image processing protocols for serial tumor sections to objectively and efficiently quantify tumor microvasculature following antivascular therapy. To determine the trade-off between tumor subsampling and throughput versus microvessel quantification accuracy, we provide a mathematical model that accounts for tumor-specific vascular heterogeneity. This mathematical model can be applied broadly to define tumor volume samplings needed to reach statistical significance, depending on the biomarker in question and the number of subjects. Here, we demonstrate these concepts for tumor microvessel density and total microvascularity (TMV) quantification in whole pancreatic ductal adenocarcinoma tumors ex vivo. The results suggest that TMV is a more sensitive biomarker for detecting reductions in tumor vasculature following antivascular treatment. TMV imaging is a broadly accessible technique that offers robust assessment of antivascular therapies, and it offers promise as a tool for developing high-throughput assays to quantify treatment-induced microvascular alterations for therapeutic screening and development.

Figures in this Article
© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Bryan Q. Spring ; Akilan Palanisami ; Lei Zak Zheng ; Amy E. Blatt ; R. Bryan Sears, et al.
"Efficient measurement of total tumor microvascularity ex vivo using a mathematical model to optimize volume subsampling", J. Biomed. Opt. 18(9), 096015 (Sep 25, 2013). ; http://dx.doi.org/10.1117/1.JBO.18.9.096015


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.