ArticleScientific reports2023
Correlations between iodine uptake, invasive CT features and pleural invasion in adenocarcinomas with pleural contact.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- CT-based nomogram for estimating visceral pleural invasion in solid pulmonary adenocarcinoma nodules with pleural contact: a retrospective single-center study.BMC medical imaging · 2026Article
- [Research Progress on Imaging Diagnosis of Non-small Cell Lung Cancer Which Invades Pleura or Chest Wall].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025Review
- Preoperative evaluation of visceral pleural invasion in peripheral lung cancer utilizing deep learning technology.Surgery today · 2025Article
- Prognostic significance of visceral pleural changes in stage IA lung adenocarcinoma: a retrospective study.Frontiers in oncology · 2025Article
- Using the length of pleural tag to predetermine pleural invasion by lung adenocarcinomas.Frontiers in oncology · 2024Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pleural contact in lung cancers does not always imply pleural invasion (PI). This study was designed to determine whether specific invasive CT characteristics or iodine uptake can aid in the prediction of PI. The sample population comprised patients with resected solid lung adenocarcinomas between April 2019 and May 2022. All participants underwent a contrast enhanced spectral CT scan. Two proficient radiologists independently evaluated the CT features and iodine uptake. Logistic regression analyses were employed to identify predictors for PI, via CT features and iodine uptake. To validate the improved diagnostic efficiency, accuracy analysis and ROC curves were subsequently used. A two-tailed P value of less than 0.05 was considered statistically significant. We enrolled 97 consecutive patients (mean age, 61.8 years ± 10; 48 females) in our study. The binomial logistic regression model revealed that a contact length > 10 mm (OR 4.80, 95% CI 1.92, 11.99, p = 0.001), and spiculation sign (OR 2.71, 95% CI 1.08, 6.79, p = 0.033) were independent predictors of PI, while iodine uptake was not. Enhanced sensitivity (90%) and a greater area under the curve (0.73) were achieved by integrating the two aforementioned CT features in predicting PI. We concluded that the combination of contact length > 10 mm and spiculation sign can enhance the diagnostic performance of PI.
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