ArticleJournal of cardiothoracic surgery2025
Three-dimensional analysis to predict recurrence of pure-solid non-small cell lung cancer after segmentectomy.
Article in Journal of cardiothoracic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundThe aim of this study was to assess the solid% using 3D-CT and analyze its potential value in selecting a segmentectomy as the surgical procedure.
methodsA retrospective study was conducted on 198 NSCLC patients who underwent segmentectomy. Of these, 93 cases who were evaluated as pure-solid on 2D-CT scans were included in the analysis. Receiver operating characteristics analysis was used to calculate cut-off levels for prognostic markers. The univariate analysis included variables such as age, whole tumor size, smoking history, gender, 2D-mCT value, whole tumor volume, 3D-mCT value, solid%, solid volume, standardized uptake value, and carcinoembryonic antigen value. Multiple logistic regression analyses were performed to determine the independent variables for the prediction of tumor recurrence.
resultsA cutoff of 71.1% yielded the maximum specificity and sensitivity to predict recurrence based on the solid%. In the group consisted of 62 cases with a solid% of 71.1% or higher on 3D-CT background-matched lobectomy group, the RFS was significantly better (p = 0.046) for the lobectomy group compared to the segmentectomy group. Preoperatively determined variables were used in multiple logistic regression models, revealing that the solid% (p = 0.04) and SUV (p = 0.03) were predictive and independent factors of tumor recurrence.
conclusionsSolid % on 3D-CT has a potential to predict recurrence after segmentectomy in a group of cases rated as pure solid on 2D-CT. A future prospective study should be conducted to establish optimal treatment strategies for this disease.
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