AbstractHepatic alveolar echinococcosis (HAE) and liver cancer had similarities
in imaging results, clinical characteristics, and so on. And it is difficult for
clinicians to distinguish them before operation. The aim of our study was to build a
differential diagnosis nomogram based on platelet (PLT) score model and use internal
validation to check the model. The predicting model was constructed by the
retrospective database that included in 153 patients with HAE (66 cases) or liver
cancer (87 cases), and all cases was confirmed by clinicopathology and collected
from November 2011 to December 2018. Lasso regression analysis model was used to
construct data dimensionality reduction, elements selection, and building prediction
model based on the 9 PLT-based scores. A multi-factor regression analysis was
performed to construct a simplified prediction model, and we added the selected
PLT-based scores and relevant clinicopathologic features into the nomogram.
Identification capability, calibration, and clinical serviceability of the
simplified model were evaluated by the Harrell’s concordance index (C-index),
calibration plot, receiver operating characteristic curve (ROC), and decision curve.
An internal validation was also evaluated by the bootstrap resampling. The
simplified model, including in 4 selected factors, was significantly associated with
differential diagnosis of HAE and liver cancer. Predictors of the simplified
diagnosis nomogram consisted of the API index, the FIB-4 index, fibro-quotent
(FibroQ), and fibrosis index constructed by King’s College Hospital (King’s score).
The model presented a perfect identification capability, with a high C-index of
0.929 (0.919 through internal validation), and good calibration. The area under the
curve (AUC) values of this simplified prediction nomogram was 0.929, and the result
of ROC indicated that this nomogram had a good predictive value. Decision curve
analysis showed that our differential diagnosis nomogram had clinically
identification capability. In conclusion, the differential diagnosis nomogram could
be feasibly performed to verify the preoperative individualized diagnosis of HAE and
liver cancer.