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General Clinical Specialties: Operations/Practice Based/Outcomes ResearchOperations/Practice Based/Outcomes Research Posters |
1 Radiology, Johns Hopkins Medical Institutions, Baltimore, Maryland
1162
Objectives: To (1) illustrate the limitations of 2 category (positive/negative) reporting when a binary diagnostic question is posed, (2) propose a 5 category reporting scale to address the weaknesses of 2 category reporting, and (3) apply and compare the 2 category and the 5 category scales for a sample of PET imaging results.
Methods: "The tangent at a point on the ROC curve corresponds to the likelihood ratio (LR) for a single test value represented by that point" (Choi 1998). Thus, 2 category reporting: 1: Assigns patients with findings adjacent to the cutoff point on the ROC curve to opposite categories, despite nearly identical likelihood ratios (LRs) and 2: Mixes patients with findings corresponding to a (possibly) wide range of LRs in the same reporting category. We propose a 5 category scale to report the results of a binary diagnostic inquiry: 1. Definitely Positive (LR~10), 2. Probably Positive (LR~3), 3. Equivocal (LR~1), 4. Probably Negative (LR~1/3), 5. Definitely Negative (LR~1/10). We have applied such an approach to clinical data interpretation.
Results: We used the data from a clinical study of PET detection of axillary metastases of breast cancer. Five category reporting recovered 96% of the area between the ROC curve and the main diagonal (the line equivalent to guessing), while 2 category reporting recovered a maximum of 76% of the same area.
Conclusions: The proposed 5 category scale informs the referring physician whether the test results supported or dismissed the diagnosis sought, whether the evidence is strong or weak, or whether test results were non-informative. This scale addresses obvious weaknesses of the 2 category reporting paradigm and suggests that multiple category reporting, or perhaps a continous read out, may be more informative.
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