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
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 i...
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| Format: | Article |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1436771/full |
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| author | Dongyu Li Dongyu Li Shaolei Li Hongbing Zhang Chunqiu Xia Xiaoyong Nan Hongyu Liu Jun Chen Jun Chen |
| author_facet | Dongyu Li Dongyu Li Shaolei Li Hongbing Zhang Chunqiu Xia Xiaoyong Nan Hongyu Liu Jun Chen Jun Chen |
| author_sort | Dongyu Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-02465062ffe24a83b1e92d2368163539 |
| institution | Kabale University |
| issn | 2234-943X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj-art-02465062ffe24a83b1e92d23681635392025-01-22T05:19:39ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-01-011510.3389/fonc.2025.14367711436771Development 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 > 0.5Dongyu Li0Dongyu Li1Shaolei Li2Hongbing Zhang3Chunqiu Xia4Xiaoyong Nan5Hongyu Liu6Jun Chen7Jun Chen8Department of Thoracic Surgery, Yuncheng Central Hospital affiliated to Shanxi Medical University, Yuncheng, ChinaDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, ChinaDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Thoracic Surgery, Yuncheng Central Hospital affiliated to Shanxi Medical University, Yuncheng, ChinaTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, ChinaTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, ChinaBackgroundPrecisely 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.https://www.frontiersin.org/articles/10.3389/fonc.2025.1436771/fulllung cancernon-small-cell lung cancerlymph node metastasespreoperative workupprediction model |
| spellingShingle | Dongyu Li Dongyu Li Shaolei Li Hongbing Zhang Chunqiu Xia Xiaoyong Nan Hongyu Liu Jun Chen Jun Chen 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 Frontiers in Oncology lung cancer non-small-cell lung cancer lymph node metastases preoperative workup prediction model |
| 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | lung cancer non-small-cell lung cancer lymph node metastases preoperative workup prediction model |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2025.1436771/full |
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