LR-PC2: a polytomous risk prediction model for differentiating
between benign, borderline, and invasive adnexal
This model computes the risk of a benign, borderline or
invasive (primary or metastatic) tumor for women with a detected adnexal mass. It is based on Van Calster
et al (BMC Medical Research Methodology
2010). It can be used for new patients using an Excel implementation.
How to use it:
- Enter the data of a patient
into the blue cells.
- Some checks on the entered
data are implemented. If all data are entered without violation of the
checks, the message Data complete! appears below the data. If this does not appear, not
all necessary data have been entered or a check has been violated; in
this case complete data entry or correct errors.
- If all data are entered and no
checks have been violated, the probabilities of a benign, borderline, and
invasive tumor are given below the data entry section.
- The probability of an
invasive tumor aggregates the probabilities of a primary invasive tumor
and of a metastatic tumor. This is done as the analysis has shown that
these tumor types cannot be discriminated.
- Because the model is based on
a combination of pairwise submodels,
the results for these submodels are given too
results: pairwise risk predictions). This
is the risk of diagnosis A when we assume that the true diagnosis is
either A or B.
- Consult Timmerman et al
(Ultrasound in Obstetrics and Gynecology 2000; 16:500-505) for information
on the terms and definitions used for standardized data collection.
- Read the important information
about the model that is presented in the paper in BMC Medical Research
Methodology, and that is summarized in the Excel file.