AI Article Synopsis

  • Sonographic features and maximum standardized uptake values (LN-SUVmax) in lymph nodes can help predict lymph node metastasis (LNM) in lung cancer patients.
  • In a study analyzing 147 lymph nodes from 104 patients, size, shape, central structure, and LN-SUVmax were identified as key predictive factors for LNM.
  • The combined approach of using sonography and LN-SUVmax achieved a high sensitivity of 76.9%, specificity of 95.1%, and overall accuracy of 93.2%, making it more effective than using either method alone.

Article Abstract

Background: Sonographic findings of lymph nodes on endobronchial ultrasonography (EBUS) images have been reported to be useful to predict lymph node metastasis (LNM) in lung cancer patients. F-18 fluorodeoxyglucose (FDG) uptake in lymph nodes was also found to be useful. In this study, we aimed to clarify whether a combination of sonographic features and maximum standardized uptake values of lymph nodes (LN-SUVmax) is useful for predicting LNM in lung cancer patients.

Methods: From January 2014 to December 2019, a total of 147 lymph nodes from 104 patients with lung cancer, who underwent preoperative EBUS and FDG-positron emission tomography (PET)/computed tomography (CT) followed by surgery were retrospectively assesses. The characteristics of the patients, LN-SUVmax, and sonographic findings of lymph nodes were reviewed. Predictive factors associated with LNM were identified using the logistic regression model.

Results: The average size of the lymph nodes was 8.55 (range, 3-22) mm and the average LN-SUVmax was 5.36 (range, 1.79-31.19). The prevalence of nodal metastasis was 26/147 (17.4%), including 22 in mediastinal lymph nodes and 4 in hilar lymph nodes. Multivariate analysis demonstrated four independent predictive factors for LNM; size, round or oval shape, absence of a central hilar structure, and LN-SUVmax. The optimal cutoff value for lymph node size and LN-SUVmax were 10 mm and 6.00, respectively. By combinating of the two modalities, we obtained the results with sensitivity of 76.9%, specificity of 95.1% and accuracy of 93.2%.

Conclusions: A combination of sonographic findings and LN-SUVmax showed a higher diagnostic rate of LNM than either modality alone in lung cancer patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7656352PMC
http://dx.doi.org/10.21037/jtd-20-1888DOI Listing

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