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The Use of FNA and FNB in the Optimization of EUS-assisted Tissue Sampling

The Use of FNA and FNB in the Optimization of EUS-assisted Tissue Sampling

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02360839
Enrollment
1000
Registered
2015-02-11
Start date
2009-07-31
Completion date
2022-12-31
Last updated
2023-06-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Neoplasms

Brief summary

Endoscopic ultrasound (EUS) with fine needle aspiration (FNA) for cytology and/or fine needle biopsy (FNB) for histology may be used in the diagnostic work-up of intrathoracic and intrabdominal lesion of unknown origin. Certain lesions (such as pancreatic adenocarcinoma) are often well characterized by cytology assessment of FNA-samples while others are not (such as GIST-tumors). This study is a part observational (early study phase) and part interventional study (late study phase) on the diagnostic accuracy of EUS-assisted tissue sampling by FNA or FNB during a 10-year period on a tertiary endoscopy centre.

Detailed description

Variables affecting the diagnostic accuracy of EUS-FNA and EUS-FNB in different cases and tumor scenarios will be studied in detail such as the influence of medical equipment used (i.e the different types and sizes of puncture needles), the experience of the endosonographers, cytopathologists and pathologists and the use of rapid on-site evaluation of cytology samples. Each study case is reviewed post-EUS (according to the schedule precised below) regarding further diagnostic work-up, neoadjuvant treatment, surgery result, clinical follow-up, (neo)adjuvant treatment, and survival. Non-parametrical tests will be applied as the main statistical method.

Interventions

DEVICEEUS-guided fine needle biopsy sampling (EUS-FNB)

Dual sampling with EUS-FNA and EUS-FNB in a randomized order.

Sponsors

Per Hedenström
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
DOUBLE (Subject, Caregiver)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Referral for a diagnostic EUS

Exclusion criteria

* Referral for an interventional EUS

Design outcomes

Primary

MeasureTime frameDescription
The cellular quality of the EUS-FNA specimens (categorical variable).Follow up is by time of surgery (in average 2 months after EUS-FNA)Specimens are measured on a standardized 5-grade categorical scale - from 1 (=poor, non-diagnostic yield) to 5 (excellent, completely diagnostic yield). There is no specific unit measured (the variable is not a continuous one). The results from cytology assessment of EUS-derived tissue are compared to the final diagnosis, that is based on the subsequent surgery report. Results from FNA and FNB are regarded equally important. That is why both are treated as Primary Outcomes.
The histological quality of the EUS-FNB specimens (categorical variable).Follow up is by time of surgery (in average 2 months after EUS-FNB)Specimens are measured on a standardized 5-grade categorical scale - from 1 (=poor, non-diagnostic yield) to 5 (excellent, completely diagnostic yield). There is no specific unit measured (the variable is not a continuous one). The results from pathology assessment of EUS-derived tissue are compared to the final diagnosis, that is based on the subsequent surgery report. Results from FNA and FNB are regarded equally important. That is why both are treated as Primary Outcomes.

Secondary

MeasureTime frameDescription
Immunohistochemistry profiling of EUSFollow up is by time of surgery (in average 2 months after EUS)The immunohistochemical (IHC) profile of tumor material from EUS-samples will be compared to the immunohistochemical profile of tissue derived from surgery of the very same case (categorical variable, Yes (1) = correct IHC-profiling by EUS or No (2) = non-correct IHC-profiling by EUS).

Countries

Sweden

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 25, 2026