Background/Objectives: Spread through air spaces (STAS) represents an aggressive invasion pattern in lung cancer and is associated with unfavorable oncologic outcomes. As STAS is currently identifiable only on postoperative pathology, reliable preoperative, noninvasive prediction remains a clinical challenge. This study aimed to evaluate the feasibility of predicting STAS using ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT)-derived radiomic and clinicoradiomic models. Methods: In this retrospective study, patients who underwent surgical resection for lung cancer with available preoperative ¹⁸F-FDG PET/CT imaging were analyzed. Radiomic features were extracted from intratumoral and peritumoral regions. Clinical, radiomic-only, and combined clinicoradiomic models were developed using LASSO-based feature selection and multivariable logistic regression. Model performance was evaluated using nested cross-validation, receiver operating characteristic analysis, calibration assessment, and decision curve analysis. Results: Radiomic features reflecting intratumoral metabolic characteristics and peritumoral tissue heterogeneity were significantly associated with STAS. The combined clinicoradiomic model demonstrated superior discriminative performance compared with the clinical and radiomic-only models (mean AUC ≈ 0.75), along with favorable calibration (Brier score = 0.20) and improved clinical net benefit across relevant threshold probabilities. Lower eosinophil count, lower SUVmin_tumor, and lower intratumoral SUV skewness emerged as independent predictors of STAS. Conclusions: Preoperative prediction of STAS in lung cancer is feasible using PET/CT-based radiomic analysis integrating intratumoral, peritumoral, and clinical features. This noninvasive approach provides biologically relevant information beyond conventional anatomical assessment and warrants further validation in prospective, multicenter cohorts.

Clinical evaluation of intrapericardial pneumonectomies applied in non-small cell lung cancer

Background: The aim of this study was to compare the maximum standardized uptake values on positron emission tomography/ computed tomography and survival of lung invasive adenocarcinoma subgroups. Methods: Between January 2010 and January 2016, a total of 152 patients (112 males, 40 females; mean age: 64.2±8.6 years; range, 41 to 88 years) who underwent lung resection for an invasive adenocarcinoma were retrospectively analyzed. The patients were divided into subgroups as follows: acinar, lepidic, micropapillary, papillary, and solid. The maximum standardized uptake values in the imaging study and their relationship with survival were examined. Results: There were 84 acinar (55%), 31 solid (20%), 23 lepidic (15%), nine papillary (5%), and five micropapillary (3%) cases. The positron emission tomography/computed tomography enhancement showed a statistically significant difference among the subgroups (p=0.004). The solid subgroup was the most involved (9.76), followed by micropapillary (8.98), acinar (8.06), papillary (5.82), and lepidic (4.23) subgroups, respectively. According to Tumor, Node, Metastasis staging, Stage I was present in 48.68% (n=74) of the cases, Stage II in 25.0% (n=38), Stage III in 25.0% (n=38), and Stage IV in 1.31% (n=2). The one-year, three-year, and five-year survival rates were significantly different among the disease stages (p=0.01). The longest survival duration was in the lepidic subgroup, although it did not reach statistical significance among the subgroups (p=0.587). Conclusion: The evaluation of invasive adenocarcinomas based on maximum standardized uptake values provides valuable information and may guide neoadjuvant and adjuvant therapies in the future.