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SUNNYDAY: SUbepithelialgastroiNtestiNal Tumors Detection,accuracYDiAgnosis,ElastographY and Contrast-enhanced EUS

EUS-Elastography and Contrast-Enhanced EUS Diagnostic Accuracy in the Differential Diagnosis of Subepithelial Gastrointestinal Tumors: a Multicenter Prospective Observational Study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06324032
Acronym
SunnyDay021
Enrollment
138
Registered
2024-03-21
Start date
2020-12-17
Completion date
2025-12-31
Last updated
2024-03-21

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

Conditions

Subepithelial Gastrointestinal Tumors

Keywords

subepithelial gastrointestinal tumors, Endoscopic Ultrasound, EUS, SETs, EUS Elastography, surgical resection, histopatological specimens

Brief summary

This will be a longitudinal, prospective, observational multicenter study where the role of EUS-E will be examined in differentiating subepithelial gastrointestinal tumors in 138 patients

Detailed description

This will be a longitudinal, prospective, observational multicenter study that will enroll consecutive patients, with gastrointestinal SETs diagnosed by experienced endoscopists at Italian hospitals. This study will be conducted following the Helsinki Declaration after the approval by the ethics review board of all centers and will be recorded on Clinical-Trials.gov. All patients will provide their written informed consent for participating in the study. The EUS-E and CEUS analysis with SonoVue® will be performed during the same procedures. A subsequent diagnostic hypothesis on the nature of SETs will be formulated based on the B-mode, EUS-E, and CE-EUS characteristics.

Interventions

PROCEDUREEUS Elastography (EUS-E)

All procedures will be performed with Olympus echoendoscopes (Olympus Europa SE & CO. KG, Hamburg, Germany) or Pentax echoendoscopes in combination with dedicated elastography software

Sponsors

Fondazione del Piemonte per l'Oncologia
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 85 Years
Healthy volunteers
No

Inclusion criteria

1\. Patients with GI SETs scheduled for EUS-FNB 2 Patients with age \> 18 but \<85

Exclusion criteria

1. Patients with GI SETs \<15mm 2. severe coagulopathy defined as abnormal prothrombin time (PT) or partial thromboplastin time (PTT) that does not normalize after administration of fresh frozen plasma 3. severe cardiopulmonary diseases and severe chronic kidney disease defined as 4. known allergic disposition to SonoVue® 5. pregnancy

Design outcomes

Primary

MeasureTime frameDescription
Evaluation of EUS-E accuracy qualitative4 weeksEvaluation of Endoscopic Ultrasound -Elastography (EUS-E)) accuracy (qualitative elastography) and contrast enhanced endoscopic ultrasound (CE-EUS) in the diagnosis of SETs compared to the histological data provided by the ultrasound-guided biopsy. the elastographic qualitative pattern will be assessed and described using an elastographic score. ELASTOGRAPHIC SCORE: three elastographic patterns will be used to define the stiffness of the SETs: * homogeneously green-pattern (soft) * mixed-type pattern (mild stiffness) * blue-predominant elastographic pattern (hard) Strain Ratio (SR) will be calculated by dividing the ROI placed on the normal GI wall at the periphery of the mass (ROI B) by the ROI placed on the lesion itself (ROI A). ROI A will be manually adjusted to cover the tumoral area as much as possible.
Evaluation of EUS-E accuracy quantitative4 weeksEvaluation of Endoscopic Ultrasound -Elastography (EUS-E) accuracy (quantitative elastography) and contrast enhanced endoscopic ultrasound (CE-EUS) in the diagnosis of SETs compared to the histological data provided by the ultrasound-guided biopsy. EUS-E compares the strain between the target area and other reference areas, to provide a semi-quantitative analysis of tissue stiffness. The SR (B/A quotients) will be calculated by the diagnostic US imaging system. The SRs will be measured and recorded 3 times in each procedure; the mean value will be considered as the final result for data analysis(to establish an SR cut-off to differentiate GIST from other SETs). Videos of 5 seconds will be recorded per each measurement.

Secondary

MeasureTime frameDescription
Evaluation of diagnostic accuracy of EUS-biopsy with fine needle biopsy (FNB)4 weeksEvaluation of diagnostic accuracy of Endoscopic Ultrasound biopsy (EUS-biopsy) with fine needle biopsy (FNB). Is obtained by evaluating the Strain Ratio (SR). Strain Ratio (SR) is a value resulting from the ratio between the stiffness of two user-defined areas within an elastogram ,which provides an objective evaluation of the hardness of lesion. Therefore, EUS-E has been applied to diseases of the pancreas, liver, prostate, lymphnodes, and other SETs
Evaluation of gene mutations in EUS-guided specimen24 weeksEvaluation of genetic mutations in ultrasound-guided endoscopic specimens by analyzing the tissue. All specimens will undergo histopathological examination, immunohistochemical evaluation, and molecular analysis
Correlation of elastographic and contrastographic characteristics of SETs with the pathological risk stratification.24 weeksCorrelation of elastographic and contrastographic characteristics of SubEpithelial Tumors (SETs) with the pathological risk stratification. The elasticity of the tissues will be evaluated, which presents itself as a chromatic spectrum of shades and expressed graphically in an elastogram. The green color represents medium stiffness, blue reflects the hardest tissue and red the softest tissue.
Complication rate (perforations, bleeding) of the procedure48 hoursComplication rate (perforations, bleeding) of the procedure will be obtained by evaluating the number of complications

Countries

Italy

Contacts

Primary ContactCristiana Laudi, MD
Cristiana.laudi@ircc.it+390119933413
Backup ContactMarco Asioli, Dr
marco.asioli@ircc.it+390119933463

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026