Mediastinal staging lymph node probability map in non-small cell lung cancer

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.

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Publication Details

Journal
Respiratory Research
Published
2025-03-24
DOI
https://doi.org/10.1186/s12931-025-03121-z
Citations
1
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.52
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Mediastinal staging lymph node probability map in non-small cell lung cancer

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Mediastinal staging lymph node probability map in non-small cell lung cancer

J.L. Vercher-Conejero, P.C. Notta, Guillermo Rodriguez-González, Rosa López‐Lisbona, C. Cabeza, Jaume Bordas-Martínez, Cristian Tebé, Noelia Cubero, Salud Santos, Marta Díez-Ferrer, Antoni Rosell, Montserrat Cortés‐Romera
article en
1 citations

Abstract

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.

Respiratory ResearchVol. 26(1)
Bellvitge University Hospital (ES), Institut d'Investigació Biomédica de Bellvitge (ES), Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES), Hospital General de Granollers (ES), Hospital Clínico Universitario de Valladolid (ES)
Good health and well-being
Openalex Percentile: Top 21%
Lung Cancer Diagnosis and Treatment
1.52
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