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Testing for interchangeability of imaging tests.

Nancy A Obuchowski1, Naveen Subhas2, Paul Schoenhagen3

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Summary
This summary is machine-generated.

Assessing new medical tests requires evaluating their interchangeability, not just agreement, with existing ones. This method is valid even without a reference standard, crucial for accurate diagnostic performance.

Keywords:
Reference standardaccuracyagreementcorrelationinterchangeability

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Area of Science:

  • Medical diagnostics
  • Biostatistics
  • Imaging technology evaluation

Background:

  • New diagnostic tests are typically validated against a reference standard.
  • A reference standard is not always available or necessary for assessing test interchangeability.
  • Evaluating interchangeability is key when a new test aims to replace an existing one.

Purpose of the Study:

  • To propose and illustrate a method for assessing the interchangeability of new diagnostic tests with existing ones.
  • To demonstrate that formal interchangeability testing is a valid approach in the absence of a reference standard.
  • To highlight the limitations of simple agreement or correlation analyses.

Main Methods:

  • Comparing diagnostic differences between a new test and an existing test to variations from repeated use of the existing test.
  • Applying the interchangeability test to two case studies: semiautomated vs. manual CT analysis for aortic valve replacement and MRI vs. CT for acetabular version measurement.
  • Utilizing statistical comparison of diagnostic outcomes and measurement differences.

Main Results:

  • Semiautomated CT analysis showed 87.6% agreement with manual measurements, but interchangeability would increase disagreement by 1.7%-12.2%.
  • Replacing CT with MRI for acetabular version measurement introduced excess angle measurement differences of 2.0°-3.1°.
  • These results indicate that high agreement does not guarantee interchangeability.

Conclusions:

  • Agreement or correlation alone is insufficient to establish a new test's performance.
  • A formal evaluation of interchangeability provides robust evidence for test replacement, even without a reference standard.
  • This approach is vital for ensuring diagnostic accuracy and reliability when adopting new technologies.