Endoscopic Ultrasound Elastography (Strain Ratio) and Fractal-based Quantitative Analysis for the Mediastinal and Abdominal Lymphadenopathies
Lymph/EUS/01
1 other identifier
observational
101
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2019
Longer than P75 for all trials
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
Study Start
First participant enrolled
September 27, 2019
CompletedFirst Submitted
Initial submission to the registry
December 7, 2020
CompletedFirst Posted
Study publicly available on registry
December 17, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
September 30, 2023
CompletedJuly 30, 2025
July 1, 2025
4 years
December 7, 2020
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.
Interventions
Eligibility Criteria
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
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