ArticleCancer imaging : the official publication of the International Cancer Imaging Society2023
Growth characteristics of early-stage (IA) lung adenocarcinoma and its value in predicting lymph node metastasis.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Risk-adapted nodal evaluation in stage IA non-small cell lung cancer: a population-based competing-risk analysis.World journal of surgical oncology · 2026Article
- Predicting pulmonary nodule growth from a single time point: a fusion model of radiomics and deep learning to optimize follow-up strategies.Journal of thoracic disease · 2026Article
- [Expert Consensus on Precision Management of Pulmonary Nodules (2026 Version)].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026Article
- The role of growth heterogeneity in solid nodular non-small cell lung cancer in clinical practice: a narrative review.Journal of thoracic disease · 2026Review
- CT prediction of malignancy in part-solid pulmonary nodules based on vascular interruption and distortion.Frontiers in medicine · 2026Article
- Influencing factors and prediction of growth heterogeneity in solid nodule non-small cell lung cancer based on artificial intelligence: a prospective study.Translational lung cancer research · 2025Article
- Concurrent mutations in multiple tumor suppressor genes correlate with adverse prognosis in stage I lung adenocarcinoma patients.Journal of thoracic disease · 2025Article
- Exploring the relationships between CT and pathological characteristics and gene mutations in neoplastic ground glass nodules.BMC medical imaging · 2025Article
- Compared with assessment via endoscopic examination, assessment through the examination of resected regional lymph nodes can significantly reduce the mortality rate of lung cancer patients: a retrospective study of 222,563 participants from the SEER database.Journal of thoracic disease · 2025Article
- 2.5D deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma.BMC medical imaging · 2025Article
- Habitat-based radiomics from contrast-enhanced CT and clinical data to predict lymph node metastasis in clinical N0 peripheral lung adenocarcinoma ≤ 3 cm.Scientific reports · 2025Article
- AI-based prediction of pathological risk factors in lung adenocarcinoma from CT imaging: bridging innovation and clinical practice.Frontiers in oncology · 2025Review
- Risk factors for mediastinal lymph node metastases in early-stage non-small-cell lung cancer and prediction model establishment.American journal of cancer research · 2024Article
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Abstract
backgroundWe aim to compare the differences in growth characteristics between part-solid and solid lung adenocarcinoma, and to investigate the value of volume doubling time (VDT) or mass doubling time (MDT) in predicting lymph node (LN) metastasis and preoperative evaluation in patients of early-stage (IA) non-small cell lung cancer (NSCLC).
methodWe reviewed 8,653 cases of surgically resected stage IA lung adenocarcinoma between 2018 and 2022, with two follow-up visits at least 3 months apart, comparing diameter, volume, and mass growth of pSN and SN. VDT and MDT calculations for nodules with a volume change of at least 25%. Univariable or multivariable analysis was used to identify the risk factors. The area under the curve (AUC) for the receiver operating characteristic (ROC) curves was used to evaluate the diagnostic value.
resultsA total of 144 patients were included 114 with solid nodules (SN) and 25 with part-solid nodules (pSN). During the follow-up period, the mean VDTt and MDTt of SN were shorter than those of pSN, 337 vs. 541 days (p = 0.005), 298 vs. 458 days (p = 0.018), respectively. Without considering the ground-glass component, the mean VDTc and MDTc of SN were shorter than the solid component of pSN, 337 vs. 498 days (p = 0.004) and 298 vs. 453 days (p = 0.003), respectively. 27 nodules were clinically and pathologically diagnosed as N1/N2. Logistic regression identified initial diameter (p < 0.001), consolidation increase (p = 0.019), volume increase (p = 0.020), mass increase (p = 0.021), VDTt (p = 0.002), and MDTt (p = 0.004) were independent factors for LN metastasis. The ROC curves showed that the AUC for VDTt was 0.860 (95% CI, 0.778-0.943; p < 0.001) and for MDTt was 0.848 (95% CI, 0.759-0.936; p < 0.001).
conclusionsOur study showed significant differences in the growth characteristics of pSN and SN, and the application of VDT and MDT could be a valid predictor LN metastasis in patients with early-stage NSCLC.
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