Application of artificial intelligence-assisted diagnosis and treatment system in the diagnosis of pulmonary nodules: a clinical analysis of 1650 cases / 中华胸心血管外科杂志
Chinese Journal of Thoracic and Cardiovascular Surgery
; (12): 466-471, 2023.
Article
em Zh
| WPRIM
| ID: wpr-1029691
Biblioteca responsável:
WPRO
ABSTRACT
Objective:
To evaluate the effectiveness of the artificial intelligence-assisted diagnosis and treatment system in distinguishing benign and malignant lung nodules.Methods:
Clinical data of 1 650 patients with pulmonary nodules admitted to the Tianjin Chest Hospital Affiliated to Tianjin University from January 2015 to October 2022 were retrospectively analyzed, which included a total of 1 650 nodules. The malignant probability was compared to and analyzedpredict the benign and malignant nodules.Results:
A total of 1 650 nodules were included, which were divided into a malignant tumor group(n=1 391, 84.3%) and a benign lesion group(n=259, 15.7%). Between the malignant tumor group and the benign lesion group, the malignant probability was significantly different, and the malignant probability could better distinguish malignant nodules and benign lesions[(78.85±22.91)% vs.(54.91±28.68)%, P<0.001]. The area under the curve( AUC) was 0.768. The critical value of malignant probability for diagnosis of lung cancer was 81.3% with a sensitivity of 0.620 and specificity of 0.815. Stratified analysis results showed that the accuracy of the AI intelligent system for diagnosing pulmonary nodules with the sizes of 0-1 cm, 1-2 cm and 2-3 cm was also increased, and the areas under ROC curve were 0.717, 0.769 and 0.804, respectively.Conclusion:
The malignant probability of lung nodules calculated by the artificial intelligence-assisted diagnosis and treatment system can be used in the assessment of the preoperative benign and malignant lung nodules.
Texto completo:
1
Base de dados:
WPRIM
Idioma:
Zh
Ano de publicação:
2023
Tipo de documento:
Article