Intervention strategies for pulmonary ground-glass nodules
Objective To summarize the research progress of intervention management strategies for pulmonary ground glass nodules(GGN),aiming to provide reference for clinical decision-making in the diagnosis and treatment of GGN and reduce overdiagnosis and treatment.Methods With"ground-glass nodule,pathology,gene mutation,surgery,deep learning"as the keywords,and the relevant literature were systematically searched from 2007-01-01 to 2023-02-30 in Chi-na National Knowledge Infrastructure(CNKI)and PubMed.Inclusive criteria:current status of researches on pulmonary ground-glass nodules and literature related to intervention and management.Exclusive criteria:documentation with low reliability.A total of 67 literature were selected.Results With the widespread use of low-dose computed tomography,the detection rate of pulmonary GGNs has increased year by year.GGNs are mostly associated with benign lesions,while persistent GGNs have a high probability of malignancy and indolent growth features.The images of GGNs can reflect the degree of infiltration and predict their growth patterns to some extent.In addition to clinical and imaging tools,genetic research also holds a place in predicting the growth pattern of GGN.Surgery after growth of GGNs does not affect its prognosis,and the surgical window period for this part of GGN can be appropriately extended.Sublobar resection for GGN has a good prognosis and a better quality of survival than conventional lobectomy.Artificial intelligence,especially deep learning technology,is helpful to the detection of GGN,the judgment of infiltration degree and the growth predic-tion.Conclusions Intervention for GGN has begun to transform from active intervention to timely intervention.The opti-mal timing of surgical intervention and the necessity for intervention in some GGNs still need more research support.
pulmonary nodulesground-glass nodule(GGN)pathologygene mutationsurgerydeep learningreview literature
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