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EUS-B-FNA vs EUS-FNA for Left Adrenal Gland Analysis in Lung Cancer Patients

A

Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)

Status

Unknown

Conditions

Suspected Left Adrenal Gland Metastasis in Lung Cancer

Treatments

Procedure: EUS-B-FNA followed by EUS-FNA for LAG analysis

Study type

Interventional

Funder types

Other

Identifiers

NCT02538380
NL50139.018.14

Details and patient eligibility

About

The purpose of this study is to compare EUS-B-FNA (using the EBUS scope)with EUS-FNA for left adrenal gland analysis in lung cancer patients.

Full description

Rationale:

The adrenal glands are a predilection site for distant metastases (M1b) in patients with lung cancer.

However, even in a patient with a confirmed lung cancer an enlarged adrenal lesion is still more likely to be benign than to be malignant(4). Therefore tissue sampling of the left adrenal gland (LAG) is obligatory to either confirm or rule out metastases. Sampling is regularly performed by a transgastric endoscopic approach using a conventional GI-EUS scope. The aim of this study is investigate the success rate of endoscopic ultrasound guided fine-needle aspiration using the EBUS scope (EUS-BFNA) for left adrenal gland analysis in patients with lung cancer and an on imaging suspected left adrenal gland.

Hypothesis:

EUS-B guided transgastric FNA of suspected left adrenal glands (LAG) reduces the need for conventional EUS- FNA by half.

Study design:

A prospective cohort design Setting: international, multicenter

Study population:

Patients with (suspected) lung cancer, an indication for mediastinal nodal staging and a for malignancy suspected LAG on imaging.

Intervention:

All patients will undergo a mediastinal nodal staging procedure with the EBUS scope (EBUS + EUSB) (routine clinical care) followed by an evaluation of the LAG including LAG sampling (experimental). Subsequently, all patients undergo a conventional EUS procedure with sampling of the LAG (current standard of care)

Main study endpoint:

The proportion of patients with a successful EUS-B-FNA procedure for LAG analysis. Successful is defined as: LAG is visible, sampling is possible and adequate material for cytopathological evaluation is obtained. Nature and extent of the burden and risks associated with participation, benefit and group relatedness: Distant metastases of lung cancer like LAG metastases have significant impact on both the prognosis and treatment. In the majority of patients with an indication for LAG sampling by endosonography, there is also an indication for mediastinal nodal tissue sampling. In case both the mediastinal lymph nodes and the LAG can be evaluated with the same scope, patients can be evaluated for nodal and distant metastasis with just a single instead of two separate scopes. This will be beneficial for patients (reduced investigation time) and is additionally cost -effective. So far EUS-B of LAG has been shown to be safe and feasible.

Enrollment

40 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • (Suspected) Lung Cancer
  • For malignancy suspected LAG on imaging (enlarged based on CT and/or FDG avid based on FDG-PET);
  • Indication for endosonographic mediastinal staging by EBUS;
  • Indication for LAG sampling;

Exclusion criteria

  • Contraindication for EUS;
  • Pregnancy;

Trial design

Primary purpose

Diagnostic

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

40 participants in 1 patient group

EUS-B-FNA for LAG analysis
Experimental group
Description:
All patients will undergo a mediastinal nodal staging procedure with the EBUS scope (EBUS + EUS-B) (routine clinical care) followed by an evaluation of the LAG including LAG sampling (experimental). Subsequently, all patients undergo a conventional EUS procedure with sampling of the LAG (current standard of care)
Treatment:
Procedure: EUS-B-FNA followed by EUS-FNA for LAG analysis

Trial contacts and locations

2

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Central trial contact

Laurence MM Crombag, MD; Jouke T Annema, MD PhD

Data sourced from clinicaltrials.gov

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