2021
DOI: 10.21203/rs.3.rs-264170/v1
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Solitary Pulmonary Nodule Malignancy Predictive Models Applicable to Routine Clinical Practice: A Systematic Review 

Abstract: Background: Solitary Pulmonary Nodule (SPN) is a common finding in routine clinical practice when performing chest imaging tests. The vast majority of these nodules are benign, and only a small proportion are malignant. Facing clinical experience as a guide for decision-making in the management of SPN, the application of predictive models of malignancy in routine clinical practice would help to achieve better diagnostic management of SPN. For this, it is necessary to know and evaluate the current state of know… Show more

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“…It can help doctors predict whether the nodules will grow after one year and has important clinical significance. In previous studies, logistic regression models have been used to predict the malignant degree of solitary pulmonary nodules ( 41 ), showing good predictive performance. The nonlinear ML algorithm can deal with multidimensional features and identify some underlying patterns from data that are not linear or polynomial.…”
Section: Discussionmentioning
confidence: 99%
“…It can help doctors predict whether the nodules will grow after one year and has important clinical significance. In previous studies, logistic regression models have been used to predict the malignant degree of solitary pulmonary nodules ( 41 ), showing good predictive performance. The nonlinear ML algorithm can deal with multidimensional features and identify some underlying patterns from data that are not linear or polynomial.…”
Section: Discussionmentioning
confidence: 99%