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

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Title: Efficient measurement of total tumor microvascularity ex vivo using a mathematical model to optimize volume subsampling.
Authors: Spring, Bryan Q.1, Palanisami, Akilan1, Lei Zak Zheng1, Blatt, Amy E.2, Sears, R. Bryan1,3, Hasan, Tayyaba1,2,4 thasan@mgh.harvard.edu
Source: Journal of Biomedical Optics. Sep2013, Vol. 18 Issue 9, p1-11. 11p.
Subjects: Immunofluorescence, Imaging systems, Mathematical models, Adenocarcinoma, Tumors
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 bio-marker 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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Biomedical Optics is the property of SPIE - International Society of Optical Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 93249886
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Efficient measurement of total tumor microvascularity ex vivo using a mathematical model to optimize volume subsampling.
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  Data: 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 bio-marker 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Biomedical Optics is the property of SPIE - International Society of Optical Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1117/1.JBO.18.9.096015
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Immunofluorescence
        Type: general
      – SubjectFull: Imaging systems
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Adenocarcinoma
        Type: general
      – SubjectFull: Tumors
        Type: general
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      – TitleFull: Efficient measurement of total tumor microvascularity ex vivo using a mathematical model to optimize volume subsampling.
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            NameFull: Lei Zak Zheng
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            NameFull: Blatt, Amy E.
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            NameFull: Sears, R. Bryan
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              M: 09
              Text: Sep2013
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              Y: 2013
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