Accuracy and Predictors of Success of EUS-B-FNA in the Diagnosis of Pulmonary Malignant Lesions: A Prospective Multicenter Italian Study.


Journal

Respiration; international review of thoracic diseases
ISSN: 1423-0356
Titre abrégé: Respiration
Pays: Switzerland
ID NLM: 0137356

Informations de publication

Date de publication:
2022
Historique:
received: 03 12 2021
accepted: 19 03 2022
pubmed: 29 4 2022
medline: 5 8 2022
entrez: 28 4 2022
Statut: ppublish

Résumé

The role of endoscopic ultrasound with bronchoscope fine-needle aspiration (EUS-B-FNA) in the diagnosis of suspected malignant pulmonary lesions adjacent to the esophagus has been poorly investigated. The aim of the present study was to assess the accuracy of EUS-B-FNA for the diagnosis and molecular profiling of paraesophageal pulmonary lesions, as well as its predictors of success. Patients who underwent EUS-B-FNA for the diagnosis of paraesophageal lesions were consecutively enrolled in four Italian centers. Demographic, clinical, procedural, pathological, and molecular characteristics of the malignant samples were collected. The primary outcome was the diagnostic accuracy for pulmonary malignancies. Secondary outcomes were diagnostic yield and predictors of success for diagnosis and molecular profiling. 107 adult patients (60 [56.1%] males; median (interquartile range) age: 69 [60-70] years) were enrolled. The diagnostic accuracy of EUS-B-FNA was 95.3% in the overall cohort and 95.2% in the 99 patients with a final diagnosis of malignancy. Neither clinical nor procedural variables significantly affected the diagnostic accuracy, whereas rapid on-site evaluation (ROSE), performed by pathologists or trained pulmonologists, was a strong predictor for a complete molecular profiling (OR [95% CI]: 12.9 [1.2-137.4]; p value: 0.03). EUS-B-FNA is a safe and accurate method for the diagnosis of paraesophageal pulmonary lesions. The presence of ROSE is relevant for a complete molecular profiling in this selected cohort of patients with advanced lung cancer.

Sections du résumé

BACKGROUND
The role of endoscopic ultrasound with bronchoscope fine-needle aspiration (EUS-B-FNA) in the diagnosis of suspected malignant pulmonary lesions adjacent to the esophagus has been poorly investigated. The aim of the present study was to assess the accuracy of EUS-B-FNA for the diagnosis and molecular profiling of paraesophageal pulmonary lesions, as well as its predictors of success.
MATERIALS AND METHODS
Patients who underwent EUS-B-FNA for the diagnosis of paraesophageal lesions were consecutively enrolled in four Italian centers. Demographic, clinical, procedural, pathological, and molecular characteristics of the malignant samples were collected. The primary outcome was the diagnostic accuracy for pulmonary malignancies. Secondary outcomes were diagnostic yield and predictors of success for diagnosis and molecular profiling.
RESULTS
107 adult patients (60 [56.1%] males; median (interquartile range) age: 69 [60-70] years) were enrolled. The diagnostic accuracy of EUS-B-FNA was 95.3% in the overall cohort and 95.2% in the 99 patients with a final diagnosis of malignancy. Neither clinical nor procedural variables significantly affected the diagnostic accuracy, whereas rapid on-site evaluation (ROSE), performed by pathologists or trained pulmonologists, was a strong predictor for a complete molecular profiling (OR [95% CI]: 12.9 [1.2-137.4]; p value: 0.03).
CONCLUSION
EUS-B-FNA is a safe and accurate method for the diagnosis of paraesophageal pulmonary lesions. The presence of ROSE is relevant for a complete molecular profiling in this selected cohort of patients with advanced lung cancer.

Identifiants

pubmed: 35483329
pii: 000524398
doi: 10.1159/000524398
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

775-783

Informations de copyright

© 2022 S. Karger AG, Basel.

Auteurs

Michele Mondoni (M)

Respiratory Unit, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.

Stefano Gasparini (S)

Pulmonary Disease Unit, Department of Internal Medicine, Azienda Ospedali Riuniti, Ancona, Italy.
Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, Italy.

Francesco Varone (F)

Division of Pulmonary Medicine, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.

Rocco Trisolini (R)

Interventional Pulmonology Unit, Fondazione Policlinico Universitario Agostino Gemelli, Università Cattolica del Sacro Cuore, Rome, Italy.

Laura Mancino (L)

Pulmonology Unit, Pulmonary Disease Unit, Department of Internal Medicine, Azienda Ospedali Riuniti, Dell'Angelo Hospital, Ancona, Italy.

Giulio Rossi (G)

Pathology Unit, Fondazione Poliambulanza, Brescia, Italy.

Paolo Carlucci (P)

Respiratory Unit, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.

Martina Bonifazi (M)

Pulmonary Disease Unit, Department of Internal Medicine, Azienda Ospedali Riuniti, Ancona, Italy.
Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, Italy.

Federico Mei (F)

Pulmonary Disease Unit, Department of Internal Medicine, Azienda Ospedali Riuniti, Ancona, Italy.

Lina Zuccatosta (L)

Pulmonary Disease Unit, Department of Internal Medicine, Azienda Ospedali Riuniti, Ancona, Italy.

Lucio Michieletto (L)

Pulmonology Unit, Pulmonary Disease Unit, Department of Internal Medicine, Azienda Ospedali Riuniti, Dell'Angelo Hospital, Ancona, Italy.

Federica Pitari (F)

Respiratory Unit, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.

Laura Saderi (L)

Clinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.

Luca Richeldi (L)

Division of Pulmonary Medicine, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.

Stefano Centanni (S)

Respiratory Unit, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.

Giovanni Sotgiu (G)

Clinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.

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