International Journal of Radiation Research

en A study on the correlation between histopathological subtypes of solitary invasive pulmonary adenocarcinoma and preoperative CT imaging features Radiation Biology Radiation Biology تحقيق بديع Original Research <div style="text-align: justify;">Background: Lung adenocarcinoma exhibits considerable heterogeneity in histological subtypes, which are closely associated with prognosis. This study aimed to investigate the correlation between preoperative chest computed tomography (CT) features and histopathological subtypes of solitary invasive pulmonary adenocarcinoma, with the goal of establishing predictive imaging markers. Materials and Methods: A retrospective analysis was conducted on 187 patients with solitary invasive pulmonary adenocarcinoma (≤3.0 cm), categorized into three groups based on the 2015 WHO classification: G1 (lepidic predominant, n=77), G2 (papillary/acinar predominant, n=65), and G3 (micropapillary/solid predominant, n=45). CT characteristics—including lesion size, CT attenuation values, ground-glass opacity, solid component ratio, lobulation, spiculation, pleural traction, and vascular signs—were analyzed. Multivariate logistic regression and predictive modeling were used to identify independent imaging predictors for each subtype. Results: Significant differences were found among the three groups in CT values, lesion size, solid component proportion, spiculation, lobulation, and pleural traction (p<0.05). Vascular invasion and air space dissemination were significantly more frequent in G3 (p<0.001 and p=0.009, respectively). Multivariate analysis identified ground-glass opacity, CT value, burr sign, and lesion size as independent predictors for G1; vascular sign and size for G2; and gender (female), lobulation, and pleural traction for G3. The predictive model for G1 showed excellent diagnostic performance with an AUC of 0.986. Conclusion: Preoperative CT features correlate significantly with histopathological subtypes of lung adenocarcinoma. Distinct imaging patterns can serve as non-invasive predictors, aiding in preoperative risk stratification and individualized treatment planning for patients with pulmonary nodules.</div> Adenocarcinoma of lung, lung neoplasms, CT scan, radiomics. 543 549 http://ijrr.com/browse.php?a_code=A-10-1-1365&slc_lang=en&sid=1 S. Cheng 7900319475328460031343 7900319475328460031343 No The General Hospital of Western Theater Command, Chengdu, 610000, China T. Guan 7900319475328460031344 7900319475328460031344 No The General Hospital of Western Theater Command, Chengdu, 610000, China L. Zhu qras510@163.com 7900319475328460031345 7900319475328460031345 Yes The General Hospital of Western Theater Command, Chengdu, 610000, China Y. Zheng hddv780@163.com 7900319475328460031346 7900319475328460031346 No The General Hospital of Western Theater Command, Chengdu, 610000, China F. Li 7900319475328460031347 7900319475328460031347 No Southwest Medical University Affiliated Hospital, Luzhou, 646000, China