Histogram-based quantitative evaluation of endobronchial ultrasonography images of peripheral pulmonary lesion.
Respiration
; 89(2): 148-54, 2015.
Article
em En
| MEDLINE
| ID: mdl-25613475
ABSTRACT
BACKGROUND:
Endobronchial ultrasonography using a guide sheath (EBUS-GS) is an increasingly common bronchoscopic technique, but currently, no methods have been established to quantitatively evaluate EBUS images of peripheral pulmonary lesions.OBJECTIVES:
The purpose of this study was to evaluate whether histogram data collected from EBUS-GS images can contribute to the diagnosis of lung cancer.METHODS:
Histogram-based analyses focusing on the brightness of EBUS images were retrospectively conducted 60 patients (38 lung cancer; 22 inflammatory diseases), with clear EBUS images were included. For each patient, a 400-pixel region of interest was selected, typically located at a 3- to 5-mm radius from the probe, from recorded EBUS images during bronchoscopy. Histogram height, width, height/width ratio, standard deviation, kurtosis and skewness were investigated as diagnostic indicators.RESULTS:
Median histogram height, width, height/width ratio and standard deviation were significantly different between lung cancer and benign lesions (all p < 0.01). With a cutoff value for standard deviation of 10.5, lung cancer could be diagnosed with an accuracy of 81.7%. Other characteristics investigated were inferior when compared to histogram standard deviation.CONCLUSIONS:
Histogram standard deviation appears to be the most useful characteristic for diagnosing lung cancer using EBUS images.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Carcinoma de Células Escamosas
/
Adenocarcinoma
/
Neoplasias Pulmonares
Tipo de estudo:
Observational_studies
Limite:
Humans
Idioma:
En
Revista:
Respiration
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Japão