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Traditional risk factors model construction

HY Hang Yu
ZY Zhen Yang
YW Yuanhui Wei
WS Wenjia Shi
MZ Minghui Zhu
LL Lu Liu
MW Miaoyu Wang
YW Yueming Wang
QZ Qiang Zhu
ZL Zhixin Liang
WZ Wei Zhao
LC Liang-an Chen
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The CT images were viewed and evaluated at a fixed lung window (level: -500 HU; width: 1500 HU) by two independent respiratory physicians (QZ, ZL) with eight and twenty years of experience in lung CT image reading. An expert chest radiologist (WY) confirmed the results. The CT abnormalities included ground-glass opacity, interlobular septal thickening, cyst, consolidation, honeycombing, mediastinal lymphadenopathy, and pleural effusion. All CT signs are identified according to the definitions in the glossary of terms published by the Fleischner Society in 2008 [23]. Semantic CT features and clinical characteristics significantly associated with the diagnosis of PCP were screened by univariate analysis and used for multivariate logistic regression analysis. The independent factors identified by multivariate logistic regression were then used to construct a traditional model. The AUC was calculated in both training and validation cohorts and compared with the radiomics model by the Delong test.

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