2026-04-18T02:19:43Zhttps://recercat.cat/oai/request

oai:recercat.cat:11351/133252025-10-24T11:00:12Zcom_2072_451665com_2072_378040col_2072_451666

00925njm 22002777a 4500 dc Bordas-Martinez, Jaume author Vercher Conejero, Jose L author Rodriguez-González, G. author Notta, P.C. author Martin Cabeza, C. author Cubero, N. author Cortes-Romera, M. author 2025-07-01T11:02:00Z 2025-07-01T11:02:00Z 2025-03-24 Lung cancer; Lymph node; Mediastinal staging Cáncer de pulmón; Ganglio linfático; Estadificación mediastínica Càncer de pulmó; Gangli limfàtic; Escenificació mediastínica Background: Mediastinal lymph node (LN) staging is routinely performed using PET/CT and EBUS-TBNA. Promising predictive algorithms for lymph nodes have been reported for each technique, both individually and in combination. This study aims to develop a predictive algorithm that combines EBUS, PET/CT and clinical data to provide a probability of malignancy. Methods: A retrospective study was conducted on consecutive patients with non-small cell lung carcinoma staged using PET/CT and EBUS-TBNA. Lymph nodes were identified by level (N1, N2, and N3) and anatomical region (AR) (subcarinal, paratracheal, and hilar). A Standardized Uptake Value (SUV) was determined for each sampled LN. The ultrasound features collected included diameter in the short axis (DSA), morphology, border, echogenicity and the presence of the vascular hilum. A robust logistic regression model was used to construct an algorithm to estimate the probability of malignancy of the lymph node. Results: A total of 116 patients with a mean age of 66, 93% of whom were men, were included. 358 lymph nodes were evaluated, 51% of which exhibited adenocarcinoma and 35% were squamous, while 14% were classified as non-small-cell lung carcinoma. The model estimated the probability of malignancy for each lymph node using age, DSA, SUVmax, and AR. The Area Under the ROC curve, was 0.89. A user-friendly application was also developed ( https://ubidi.shinyapps.io/lymma/ .) CONCLUSIONS: The integration of patient clinical characteristics, EBUS features, and PET/CT findings may generate a pre-sampling malignancy probability map for each lymph node. The model requires prospective and external validation. http://hdl.handle.net/11351/13325 Pulmons - Càncer Nodes limfàtics Tomografia DISEASES::Neoplasms::Neoplasms by Site::Thoracic Neoplasms::Respiratory Tract Neoplasms::Lung Neoplasms::Bronchial Neoplasms::Carcinoma, Bronchogenic::Carcinoma, Non-Small-Cell Lung ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics::Epidemiologic Studies::Case-Control Studies ANATOMY::Tissues::Lymphoid Tissue::Lymph Nodes ENFERMEDADES::neoplasias::neoplasias por localización::neoplasias torácicas::neoplasias del tracto respiratorio::neoplasias pulmonares::neoplasias de los bronquios::carcinoma broncogénico::carcinoma de pulmón de células no pequeñas TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::técnicas de investigación::métodos epidemiológicos::características de los estudios epidemiológicos::estudios epidemiológicos::estudios de casos y controles ANATOMÍA::tejidos::tejido linfoide::ganglios linfáticos Mediastinal staging lymph node probability map in non-small cell lung cancer