Developing of risk models for small solid and subsolid pulmonary nodules based on clinical and quantitative radiomics features

Abstract

Background: Accurate evaluation of pulmonary nodule malignancy is important for lung cancer management. This current study aimed to develop risk models for small solid and subsolid pulmonary nodules based on clinical and quantitative radiomics features.Methods: This study enrolled 5-20 mm pulmonary nodules detected on thoracic high-resolution computed tomography (HRCT), which were all confirmed pathologically. There were 548 solid nodules (242 malignant vs. 306 benign) and 623 subsolid nodules (SSNs 519 malignant vs. 104 benign). Relevant clinical characteristics were recorded. The CT image prior to the initial treatment was chosen for manual segmentation of the targeted nodule using the ITK-SNAP software. Subsequently, the marked image was processed to quantitatively extract 1218 radiomics features using PyRadiomics. We performed five-fold cross-validation to select potential predictors from clinical and radiomics features using the LASSO method and to evaluate the performance of the established models. In total, four types of models were tried: random forest, XGBOOST, SVM, and logistic models. The established models were compared with the Mayo model.Results: Lung cancer risk models were developed among four nodule groups: all nodules (410 benign vs.

Primary intrapulmonary thymoma a case report

“…Although the biopsy was taken from one lesion, CT and PET findings were consistent with multifocal bilateral involvement. Zhang et al have previously reported a case of PIT with multiple bilateral intrapulmonary nodules which were all excised; however, their pathological findings of primary intrapulmonary spindle cell thymoma differ from the histological profile of our patient 4 . Furthermore, Myer et al 3 have described two cases with multifocal but unilateral PIT in his systematic review.…”

Feature selection methods and predictive models in CT lung cancer radiomics

“…The outputs of prognostic studies are heavily associated with future clinical outcomes such as treatment response, disease spread, or survival rates. 100 , 101 , 102 , 103 , 104 , 105 , 106 , 107 , 108 , 109 , 110 , 111 , 112 , 113 , 114 , 115 , 116 , 117 , 118 , 119 , 120 , 121 , 122 , 123 , 124 , 125 , 126 , 127 , 128 , 129 , 130 , 131 , 132 , 133 , 134 , 135 , 136 , 137 , 138 , 139 , 140 , 141 , 142 , 143 , 144 , 145 , 146 , 147 , 148 , 149 , 150 , 151 Figure 3 illustrates the annual quantity of publications for each application in this re...…”

“…Prognostics studies create models that score individual cases along a sliding scale. The outputs of prognostic studies are heavily associated with future clinical outcomes such as treatment response, disease spread, or survival rates 100–151 . Figure 3 illustrates the annual quantity of publications for each application in this review.…”

Evaluation and Management of Indeterminate Pulmonary Nodules on Chest Computed Tomography in Asymptomatic Subjects: The Principles of Nodule Guidelines

“…Several studies have explored the role of radiomics in the classification of indeterminate nodules. 46,47 However, changes in CT parameters, especially reconstruction algorithms, may yield significant variability in radiomic features.…”