ArticleTranslational lung cancer research2021
A nomogram for predicting the risk of lymph node metastasis in T1-2 non-small-cell lung cancer based on PET/CT and clinical characteristics.
Article in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Development and validation of a nomogram to assess postoperative venous thromboembolism risk in patients with stage IA non-small cell lung cancer.Cancer medicine · 2023Trial
- Development of PET/CT-clinical nomograms for predicting lymph node metastasis in primary lung cancer.European radiology · 2026Article
- Article
- A novel nomogram based on PET/CT to predict lymph nodal metastasis for lung adenocarcinoma with normal size lymph node.Journal of cardiothoracic surgery · 2025Article
- 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 · 2025Article
- Advances in molecular imaging and targeted therapeutics for lymph node metastasis in cancer: a comprehensive review.Journal of nanobiotechnology · 2024Review
- Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends.Current oncology (Toronto, Ont.) · 2024Review
- A liquid biopsy assay for the noninvasive detection of lymph node metastases in T1 lung adenocarcinoma.Thoracic cancer · 2024Article
- Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based radiomics and deep learning signatures.La Radiologia medica · 2024Article
- Is tumor diameter a risk factor for occult N1 metastasis in patients with peripheral non-small cell lung cancer which is smaller than 3 cm?Updates in surgery · 2023Article
- Risk profiles and a concise prediction model for lymph node metastasis in patients with lung adenocarcinoma.Journal of cardiothoracic surgery · 2023Review
- A novel nomogram to predict lymph node metastasis in cT1 non-small-cell lung cancer based on PET/CT and peripheral blood cell parameters.BMC pulmonary medicine · 2023Article
- Nomogram model combined thrombelastography for venous thromboembolism risk in patients undergoing lung cancer surgery.Frontiers in physiology · 2023Article
- Clinical efficacy of laparoscopic radical hepatectomy and laparotomy for hepatocellular carcinoma and factors of postoperative recurrence.Frontiers in oncology · 2023Article
- Developing a primary tumor and lymph node 18F-FDG PET/CT-clinical (TLPC) model to predict lymph node metastasis of resectable T2-4 NSCLC.Journal of cancer research and clinical oncology · 2023Article
- Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non-Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study.JMIR medical informatics · 2022Article
- Nomogram Predicting Lymph Node Metastasis in the Early-Stage Cervical Cancer.Frontiers in medicine · 2022Article
- Prognostic Value of Combination of Controlling Nutritional Status and Tumor Marker in Patients with Radical Non-Small-Cell Lung Cancer.Disease markers · 2022Article
- A novel nomogram for predicting postoperative pneumonia risk in patients with localized bronchiectasis.Therapeutic advances in respiratory diseaseArticle
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11 authors.
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Abstract
backgroundAccurately predicting the risk level for a lymph node metastasis is critical in the treatment of non-small cell lung cancer (NSCLC). This study aimed to construct a novel nomogram to identify patients with a risk of lymph node metastasis in T1-2 NSCLC based on positron emission tomography/computed tomography (PET/CT) and clinical characteristics.
methodsFrom January 2011 to November 2017, the records of 318 consecutive patients who had undergone PET/CT examination within 30 days before surgical resection for clinical T1-2 NSCLC were retrospectively reviewed. A nomogram to predict the risk of lymph node metastasis was constructed. The model was confirmed using bootstrap resampling, and an independent validation cohort contained 156 patients from June 2017 to February 2020 at another institution.
resultsSix factors [age, tumor location, histology, the lymph node maximum standardized uptake value (SUVmax), the tumor SUVmax and the carcinoembryonic antigen (CEA) value] were identified and entered into the nomogram. The nomogram developed based on the analysis showed robust discrimination, with an area under the receiver operating characteristic curve of 0.858 in the primary cohort and 0.749 in the validation cohort. The calibration curve for the probability of lymph node metastasis showed excellent concordance between the predicted and actual results. Decision curve analysis suggested that the nomogram was clinically useful.
conclusionsWe set up and validated a novel and effective nomogram that can predict the risk of lymph node metastasis for individual patients with T1-2 NSCLC. This model may help clinicians to make treatment recommendations for individuals.
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