Ultrasound Imaging Based on Ultrasound Bronchoscopy in Respiratory Diseases: a Retrospective, Single-center, Confirmatory Study

May 23, 2024 updated by: Quncheng Zhang

ABSTRACT Background and objective: To establish a ultrasound radiomics machine learning model based on endobronchial ultrasound (EBUS)to assistdoctors in distinguishing between benign and malignant diagnoses ofmediastinal and hilar lymph nodes.

Methods: The clinical and ultrasonic image data of 197 patients wereretrospectively analyzed. The radiomics features were extracted by EBUS.based radiomics and dimensionality reduction was performed on thesefeatures by the least absolute shrinkage and selection operator (LASSO)EBUS-based radiomics model was established by support vector machine(SVM).205 lesions were randomly divided into a training group (n=143)and a validation group (n=62). The diagnostic efficiency was evaluated byreceiver operating characteristic (ROC).Results: A total of 13 stable features with non-zero coefficients wereselected. The support vector machine (SV) model exhibited promisingperformance in both the training and verification groups. In the traininggroup, the SVM model achieved an area under the curve (AUC) of 0.892(95% CI: 0.885-0.899), with an accuracy of 85.3%, sensitivity of 93.2%and specificity of 79.8%.In the verification group, the SVM modeldemonstrated an AUC of 0.906 (95% C: 0.890-0.923),along with anaccuracy of 74.2%,sensitivity of 70.3%, and specificity of 74.1% Conclusion:EBUS-based radiomics model can be used to differentiatemediastinal and hilar benign and malignant lymph nodes. The SVM modeldemonstrates superiority and holds potential as a diagnostic tool in clinical practice

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

197

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • China
    • Henan
      • Zhengzhou, Henan, China, 450000
        • Department of Respiratory and Critical Care Medicine

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Henan Provincial People's Hospital

Description

Inclusion Criteria:

  • (1)chest CT showing enlarged mediastinal or hilar lymph nodes or positive findings of mediastinal and hilar lymph nodes on PET/CT (SUV≥2.5); (2)patients who underwent EBUS-TBNA examination; (3)no contraindications for surgery.

Exclusion Criteria:

  • (1)prior treatment of target lymph nodes before EBUS-TBNA; (2)unclear diagnostic results; (3)loss to follow-up.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
training group
Diagnostic test: SVM model
Bronchoscopic ultrasound images were analyzed according to SVM mode
validation group
Diagnostic test: SVM model
Bronchoscopic ultrasound images were analyzed according to SVM mode

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
AUC
Time Frame: One month
Judge the validity and accuracy of the model
One month
accuracy
Time Frame: One month
Judge the validity and accuracy of the model
One month
sensitivity
Time Frame: One month
Judge the validity and accuracy of the model
One month
specificity
Time Frame: One month
Judge the validity and accuracy of the model
One month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Quncheng Zhang

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2018

Primary Completion (Actual)

December 1, 2023

Study Completion (Actual)

April 1, 2024

Study Registration Dates

First Submitted

April 2, 2024

First Submitted That Met QC Criteria

April 2, 2024

First Posted (Actual)

April 8, 2024

Study Record Updates

Last Update Posted (Actual)

May 24, 2024

Last Update Submitted That Met QC Criteria

May 23, 2024

Last Verified

May 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • HenanPPH-zhangquncheng

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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