Endobronchial Ultrasound
Conditions
Keywords
endobronchial ultrasound, peripheral pulmonary lesions, image features
Brief summary
The study is aimed to evaluate the sensitivity, specificity, positive predictive value, negative predictive value and accuracy rate of endobronchial ultrasound (EBUS) image features in diagnosing peripheral pulmonary lesions (PPLs).
Detailed description
The study is designed as a single center prospective trial. The participating center is Department of Ultrasound, Shanghai chest Hospital, Shanghai Jiao Tong University, China. The study is expected to enroll 200 patients. The investigator evaluates the sensitivity, specificity, positive predictive value, negative predictive value and accuracy rate of EBUS image features in diagnosing PPLs. EBUS is performed using an endoscope ultrasound system, which is equipped with a 20-MHz mechanical radial-type probe (UM-S20-17S;Olympus) with an external diameter of 1.4 mm.
Interventions
EBUS is performed using an endoscope ultrasound system , which is equipped with a 20-MHz mechanical radial-type probe (UM-S20-17S;Olympus) with an external diameter of 1.4 mm and a GS (K-201; Olympus).
Sponsors
Study design
Eligibility
Inclusion criteria
1. Patients who are older than 18 year-old. 2. Chest CT shows PPLs suspected to be malignant that need to be confirmed by pathology. The lesion is surrounded by lung parenchyma and invisible in standard bronchoscopy. 3. Patients who agree to undergo bronchoscopy without any contraindications. 4. Patients who have good compliance and sign informed consent.
Exclusion criteria
1. Absence of bronchus leading to or adjacent to the lesion from CT scan. 2. Refusal of participation. 3. Severe cardiopulmonary dysfunction and other indications that can't receive bronchoscopy. 4. Presence of concomitant endobronchial lesion during the bronchoscopy procedure
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The diagnostic value of EBUS image features | one year | The diagnostic value includes sensitivity, specificity, positive predictive value, negative predictive value and accuracy rate. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| EBUS image features of adenocarcinoma | one year | Making invasive EBUS image features of adenocarcinoma and non-invasive adenocarcinoma |