The role of endobronchial ultrasonography elastography for predicting malignancy.

Bronchoscopy endobronchial ultrasonography lung cancer lymphadenopathy transbronchial needle aspiration biopsy

Journal

Turk gogus kalp damar cerrahisi dergisi
ISSN: 1301-5680
Titre abrégé: Turk Gogus Kalp Damar Cerrahisi Derg
Pays: Turkey
ID NLM: 100887967

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 21 07 2019
accepted: 05 09 2019
entrez: 17 3 2020
pubmed: 17 3 2020
medline: 17 3 2020
Statut: epublish

Résumé

This study aims to investigate the role of endobronchial ultrasonography elastography in predicting malignancy. Between January 2016 and December 2016, a total of 221 lymph nodes were biopsied using the endobronchial ultrasonography-guided transbronchial needle aspiration from 119 consecutive patients (69 males, 50 females; mean age 63.2±12.4 years; range, 16 to 86 years) were included. Lymph nodes were scored by elastography according to their colors in four categories before the procedure. The strain ratio was calculated based on the region of interest after three measurements. Of the patients, 93 were diagnosed with a malignancy through endobronchial ultrasonography-guided transbronchial needle aspiration biopsy. The mean lymph node score of benign versus malignant lesions was 2.2±1.0 and 3.2±1, respectively (p<0.001). There was a positive correlation between the lymph node scores and lymph node diameter, strain ratio, ≥3 of lymph node scoring, the sensitivity for malignancy was 79% and specificity was 60%. The mean strain ratio for malignant and benign lymph nodes was 22.2±30.1 and 5.2±1.7, respectively (p<0.001). With a cut-off value of ≥2.47 of strain ratio, the sensitivity for malignancy was 75% and specificity was 65%. The combined use of positron emission tomography and lymph node score or strain ratio yielded 80.4% and 61.2% sensitivity and 80% and 70.3% specificity for malignancy, respectively. Endobronchial ultrasonography elastography is useful in predicting malignancy of the lymph nodes. When combined with positron emission tomography, specificity and positive predictive value for malignancy increase.

Sections du résumé

BACKGROUND BACKGROUND
This study aims to investigate the role of endobronchial ultrasonography elastography in predicting malignancy.
METHODS METHODS
Between January 2016 and December 2016, a total of 221 lymph nodes were biopsied using the endobronchial ultrasonography-guided transbronchial needle aspiration from 119 consecutive patients (69 males, 50 females; mean age 63.2±12.4 years; range, 16 to 86 years) were included. Lymph nodes were scored by elastography according to their colors in four categories before the procedure. The strain ratio was calculated based on the region of interest after three measurements.
RESULTS RESULTS
Of the patients, 93 were diagnosed with a malignancy through endobronchial ultrasonography-guided transbronchial needle aspiration biopsy. The mean lymph node score of benign versus malignant lesions was 2.2±1.0 and 3.2±1, respectively (p<0.001). There was a positive correlation between the lymph node scores and lymph node diameter, strain ratio, ≥3 of lymph node scoring, the sensitivity for malignancy was 79% and specificity was 60%. The mean strain ratio for malignant and benign lymph nodes was 22.2±30.1 and 5.2±1.7, respectively (p<0.001). With a cut-off value of ≥2.47 of strain ratio, the sensitivity for malignancy was 75% and specificity was 65%. The combined use of positron emission tomography and lymph node score or strain ratio yielded 80.4% and 61.2% sensitivity and 80% and 70.3% specificity for malignancy, respectively.
CONCLUSION CONCLUSIONS
Endobronchial ultrasonography elastography is useful in predicting malignancy of the lymph nodes. When combined with positron emission tomography, specificity and positive predictive value for malignancy increase.

Identifiants

pubmed: 32175157
doi: 10.5606/tgkdc.dergisi.2020.18508
pmc: PMC7067017
doi:

Types de publication

Journal Article

Langues

eng

Pagination

158-165

Informations de copyright

Copyright © 2020, Turkish Society of Cardiovascular Surgery.

Déclaration de conflit d'intérêts

Conflict of Interest: The authors declared no conflicts of interest with respect to the authorship and/or publication of this article.

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Auteurs

Benan Çağlayan (B)

Department of Chest Diseases, Koç University School of Medicine, Istanbul, Turkey.

Sinem İliaz (S)

Department of Chest Diseases, Koç University School of Medicine, Istanbul, Turkey.

Pınar Bulutay (P)

Department of Pathology, Koç University School of Medicine, Istanbul, Turkey.

Ayşe Armutlu (A)

Department of Pathology, Koç University School of Medicine, Istanbul, Turkey.

Işıl Uzel (I)

Department of Chest Diseases, Koç University School of Medicine, Istanbul, Turkey.

Ayşe Bilge Öztürk (AB)

Department of Chest Diseases, Koç University School of Medicine, Istanbul, Turkey.

Classifications MeSH