RCT Comparing Accuracy Among Franseen, Forward-bevel Westcott, and Fork-tip EUS-FNB Needle in Diagnosis of Solid Pancreatic Lesions
Prospective Randomized Controlled Trial Comparing Accuracy Among Franseen, Forward-bevel Westcott, and Fork-tip Needle Design for EUS-guided Fine Needle Biopsy in Diagnosis of Solid Pancreatic Lesions
1 other identifier
interventional
108
1 country
1
Brief Summary
Endoscopic Ultrasound-Guided Fine Needle Aspiration (EUS-FNA) is a well-established technique for pancreatic tissue acquisition, offering a high diagnostic accuracy ranging from 78% to 95%, along with a favorable safety profile. Over time, numerous studies have sought to optimize this procedure by investigating various contributing factors, including needle size, sampling techniques, adequacy of tissue acquisition, the number of passes required, and needle type. These insights have largely been incorporated into routine clinical practice, refining the diagnostic capabilities of EUS-FNA. Despite its widespread use, EUS-FNA has limitations, particularly in the diagnosis of certain pancreatic pathologies such as lymphoma, gastrointestinal stromal tumors (GISTs), and autoimmune pancreatitis. These conditions often require histologic samples for ancillary studies, which cytologic specimens obtained via FNA cannot sufficiently provide. To overcome this limitation, Fine Needle Biopsy (FNB) needles were developed. These needles enable the procurement of core tissue samples, thereby enhancing histopathological assessment and reducing reliance on rapid on-site cytological evaluation (ROSE). Additionally, FNB allows for fewer needle passes, which can shorten procedure time and reduce associated complications. Among FNB technologies, the third generation of needles has garnered particular attention due to improved sample adequacy and diagnostic reliability. While earlier research compared second-generation FNB needles with FNA, demonstrating no significant difference in diagnostic yield, more recent studies suggest that third-generation FNB needles offer superior diagnostic accuracy. Currently, three distinct third-generation FNB needle types are commercially available, distinguished by their tip geometry: Franseen geometry - Acquire™ (Boston Scientific) Fork-tip - SharkCore™ (Medtronic) Forward-bevel Westcott - ProCore™ (Cook Medical) Despite their clinical adoption, comparative data on their diagnostic performance remain scarce. Only two randomized controlled trials (RCTs) have directly compared these needle types: Karsenti et al. compared the Franseen (Acquire) and the Forward-bevel Westcott (ProCore) needles for pancreatic mass diagnosis. Diagnostic accuracy was 87% (CI: 75-94) for the Franseen needle and 67% (CI: 53-78) for the Westcott needle, with a statistically significant difference (p = 0.02). Ashat et al. evaluated the Franseen (Acquire) and Fork-tip (SharkCore) needles in diagnosing all gastrointestinal masses, reporting diagnostic accuracies of 85.3% and 90.7%, respectively (p = 0.45). In a pancreatic mass-specific subgroup analysis, accuracy rates were 89.7% and 94.4%, respectively (p = 0.68), suggesting comparable performance between the two. Despite these findings, the current literature does not include a comprehensive head-to-head comparison encompassing all three third-generation FNB needle types. Therefore, it remains uncertain which design offers the best diagnostic performance for pancreatic tumors. The absence of such comparative studies presents a significant gap in the field of EUS-guided tissue acquisition.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jul 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 12, 2025
CompletedFirst Posted
Study publicly available on registry
June 24, 2025
CompletedStudy Start
First participant enrolled
July 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 1, 2026
June 24, 2025
March 1, 2025
1 year
June 12, 2025
June 23, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Diagnostic accuracy
Diagnostic accuracy of three third-generation fine-needle biopsy (FNB) needles
6 months
Secondary Outcomes (4)
Number of needle passes
During procedure
Overall satisfaction
During procedure
Procedure time
During procedure
Adverse events
up to 2 weeks
Study Arms (3)
Franseen
EXPERIMENTALForward- bevel
EXPERIMENTALFork-tip
EXPERIMENTALInterventions
Eligibility Criteria
You may qualify if:
- Age \> 18 years
- Solid pancreatic mass greater than 1 cm in size who required tissue diagnosis
You may not qualify if:
- Pregnancy
- Uncorrected coagulopathy
- Surgically altered anatomy
- Unable to complete informed consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Faculty of Medicine Siriraj Hospital, Mahidol University
Bangkok, Bangkok, 10700, Thailand
Study Officials
- PRINCIPAL INVESTIGATOR
Varayu Prachayakul, MD
Siriraj Hospital
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- TRIPLE
- Who Masked
- PARTICIPANT, INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
June 12, 2025
First Posted
June 24, 2025
Study Start
July 1, 2025
Primary Completion (Estimated)
July 1, 2026
Study Completion (Estimated)
July 1, 2026
Last Updated
June 24, 2025
Record last verified: 2025-03
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- Other researchers can contact us anytime.
- Access Criteria
- We will provide our protocol and/or data upon request.
We are willing to provide our data to researchers who require it. For example, those who want to do systematic review and meta-analysis.