NCT04671784

Brief Summary

Endoscopic ultrasound (EUS) and EUS-guided tissue acquisition (EUS-TA) are minimally invasive techniques to establish the benign or malignant nature of lymph nodes (LNs) with a very high accuracy. In particular, for mediastinal LNs, a meta-analysis underlined that EUS features alone are not enough to reach a good sensitivity and specificity, while EUS-TA showed a slightly high sensitivity (88% vs. 85%) and a significantly high specificity (96% vs. 85%) for diagnosing the cause of LN enlargement. Considering all sites, according to the meta-analysis of Xu and colleagues, the assessment of LNs by EUS-elastography is a useful tool in differentiating benign and malignant LNs, with a sensitivity of 88% and a specificity of 85%. For lymphadenopathy of unknown origin, ESGE recommends performing EUS-TA (or alternatively endobronchial ultrasound \[EBUS\]-guided) if the patient management requires a pathological result and no superficial lymphadenopathy is easily accessible. Unfortunately, EUS-TA may sometimes be challenging or inconclusive, due to blood contamination or insufficient material. EUS elastography (EUS-E) is a non-invasive ultrasound technique that measures the hardness of tissues. The level of hardness of region of interest (ROI) can be evaluated using qualitative scores and/or quantitative methods (strain ratio; SR). To date, most of the studies on EUS-E have been carried out using the Hitachi ultrasound machine. In particular, Paterson performed a quantitative analysis considering as a pathological value cut-off, the SR ≥7.5 for EUS-E in the nodal staging of esophageal cancer. The study involved 53 LNs using cytology as gold standard: their data showed that EUS-E had a sensitivity of 83%, specificity of 96%, PPV of 95% and NPV of 86%. Recently, a new compact ultrasound processor, EU-ME2 (Olympus SE \& CO. KG, Hamburg, Germany) that includes an elastography software was developed although data regarding its application in LNs evaluation are still not available. The concept of fractal geometry as a tool for describing natural objects was originally introduced by Benoit Mandelbrot. A fractal can be considered as an irregularly shaped object and that can be divided into fragments, each of them representing a self-similar reduced copy of the whole. The hun body is an example of natural fractal, as many of its parts are characterized by features resembling the typical fractal nature. It has been demonstrated that fractal geometry can be used to efficiently evaluate the geometrical complexity of imaging patterns observed in oncology. The investigators recently published a study on the role of EUS elastography and fractal based analysis in the differentiation of solid pancreatic lesions. However, data regarding the application of fractal analysis to evaluate lymphadenopathies are still not available.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
101

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Sep 2019

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

September 27, 2019

Completed
1.2 years until next milestone

First Submitted

Initial submission to the registry

December 7, 2020

Completed
10 days until next milestone

First Posted

Study publicly available on registry

December 17, 2020

Completed
2.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 30, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 30, 2023

Completed
Last Updated

July 30, 2025

Status Verified

July 1, 2025

Enrollment Period

4 years

First QC Date

December 7, 2020

Last Update Submit

July 28, 2025

Conditions

Outcome Measures

Primary Outcomes (1)

  • Accuracy of quantitative EUS-E (strain ratio)

    The primary aim of this study is to evaluate the accuracy of quantitative EUS-E (strain ratio) for the diagnosis of malignancy in enlarged lymph nodes.

    24 Months

Study Arms (1)

Enlarged mediastinal or abdominal

Consecutive patients with enlarged mediastinal or abdominal detected by cross-sectional imaging and confirmed at EUS will be enrolled.

Other: EUS-E

Interventions

EUS-EOTHER

EUS-E

Enlarged mediastinal or abdominal

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Consecutive patients with enlarged mediastinal or abdominal lymph nodes detected by cross-sectional imaging and confirmed at EUS will be enrolled.

You may qualify if:

  • patients with identified enlarged lymph nodes;
  • patients \>18 years old.

You may not qualify if:

  • patients who decline to participate in the study
  • patients with contraindication to the procedure

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Endoscopy Unit, Humanitas Research Hospital

Rozzano, Milano, 20089, Italy

Location

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

December 7, 2020

First Posted

December 17, 2020

Study Start

September 27, 2019

Primary Completion

September 30, 2023

Study Completion

September 30, 2023

Last Updated

July 30, 2025

Record last verified: 2025-07

Data Sharing

IPD Sharing
Will not share

Locations