The development and validation of the Virtual Tissue Matrix, a software application that facilitates the review of tissue microarrays on line
2006

Virtual Tissue Matrix: A Software for Tissue Microarray Review

Sample size: 183 publication Evidence: moderate

Author Information

Author(s): Catherine M Conway, Deirdre O'Shea, Sallyann O'Brien, Darragh K Lawler, Graham D Dodrill, Anthony O'Grady, Helen Barrett, Christian Gulmann, Lorraine O'Driscoll, William M Gallagher, Elaine W Kay, Daniel G O'Shea

Primary Institution: Dublin City University

Hypothesis

Can the Virtual Tissue Matrix (VTM) provide reliable online reviews of tissue microarrays compared to traditional microscope methods?

Conclusion

The Virtual Tissue Matrix allows for effective digital reviews of tissue microarrays, achieving comparable results to traditional methods for most parameters assessed.

Supporting Evidence

  • The VTM provides digital images of TMA cores and allows for flexible scoring forms.
  • Validation showed that digital reviews can correct issues seen in microscope reviews, such as lighting inconsistencies.
  • Five out of eight parameters showed equivalent levels of agreement between digital and microscope reviews.

Takeaway

The Virtual Tissue Matrix is a tool that helps doctors look at tissue samples on a computer instead of a microscope, making it easier to share and analyze the data.

Methodology

The study involved two reviewers assessing 183 TMA spots stained with immunostains using both digital and microscope methods, comparing inter-and intra-observer variability.

Potential Biases

Potential bias due to differences in experience between reviewers, one being a scientist and the other a pathologist.

Limitations

The study noted low agreement levels for certain parameters, particularly the amount of tumor present, which may be influenced by the method of assessment.

Participant Demographics

Two pathologists and one research scientist participated in the review process.

Digital Object Identifier (DOI)

10.1186/1471-2105-7-256

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