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Correspondence |
We thank Dr MacEneaney for his comments regarding our paper [1]. We quite agree that the calculation of post-test probability should ideally be performed with Bayes' theorem, which requires knowledge of the sensitivity and specificity of the test/reader and pre-test probability of disease. Indeed, Doctors MacEneaney and Malone have published some excellent articles on this very topic [2].
However, in much of our research into the effectiveness of imaging [3, 4], we do, unlike in Dr MacEneaney's practice, insist that clinicians provide a measure of pre-test probability, given all available data, for their clinical diagnosis(es). In this way we can assess the diagnostic impact of imaging on the clinicians' working diagnosis(es). We can assess the number of diagnoses "ruled in or out" and any changes in confidence in retained diagnoses. This provides one measure of the diagnostic impact of a radiological test.
We are pleased that Dr MacEneaney agrees that it would be a step forward if clinicians and radiologists adopted a more uniform vocabulary indicating the degree of suspicion of disease in certainty of diagnoses. That was the intention of our article!
Yours etc.,
Addenbrooke's Hospital, Box 219, Hills Road , Cambridge CB2 2QQ, UK
Received for publication August 29, 2002. Accepted for publication September 17, 2002.
References
Related articles in BJR:
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