Bibliographic Details
| Title: |
Development and validation of a predictive model for lymph node metastases in peripheral non-small cell lung cancer with a tumor diameter ≤ 2.0 cm and a consolidation-to-tumor ratio > 0.5 |
| Authors: |
Dongyu Li, Shaolei Li, Hongbing Zhang, Chunqiu Xia, Xiaoyong Nan, Hongyu Liu, Jun Chen |
| Source: |
Frontiers in Oncology, Vol 15 (2025) |
| Publisher Information: |
Frontiers Media S.A., 2025. |
| Publication Year: |
2025 |
| Collection: |
LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| Subject Terms: |
lung cancer, non-small-cell lung cancer, lymph node metastases, preoperative workup, prediction model, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| More Details: |
BackgroundPrecisely predicting lymph node metastasis (LNM) status is critical for the treatment of early non-small5-cell lung cancer (NSCLC). In this study, we developed a LNM prediction tool for peripheral NSCLC with a tumor diameter ≤ 2.0 cm and consolidation-to-tumor ratio (CTR) > 0.5 to identify patients where segmentectomy could be applied.MethodsClinical characteristics were retrospectively collected from 435 patients with NSCLC. Logistic regression analysis of the clinical characteristics of this development cohort was used to estimate independent LNM predictors. A prediction model was then developed and externally validated using a validation cohort at another institution.ResultsFour independent predictors (tumor size, CTR, pleural indentation, and carcinoembryonic antigen (CEA) values) were identified and entered into the model. The model showed good calibration (Hosmer–Lemeshow (HL) P value = 0.680) with an area under the receiver operating characteristic curve (AUC) = 0.890 (95% confidence interval (CI): 0.808–0.972) in the validation cohort.ConclusionsWe developed and validated a novel and effective model that predicted the probability of LNM for individual patients with peripheral NSCLC who had a tumor diameter ≤ 2.0 cm and CTR > 0.5. This model could help clinicians make individualized clinical decisions. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2234-943X |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fonc.2025.1436771/full; https://doaj.org/toc/2234-943X |
| DOI: |
10.3389/fonc.2025.1436771 |
| Access URL: |
https://doaj.org/article/02465062ffe24a83b1e92d2368163539 |
| Accession Number: |
edsdoj.02465062ffe24a83b1e92d2368163539 |
| Database: |
Directory of Open Access Journals |
