NCT03356743

Brief Summary

This study will analyze spectral features of the radiofrequency of lung tumors in ex-vivo human lungs. The resected specimens will be evaluated using the spectrum analysis to determine the localization rate of the targets. Ultrasound measurement and images will be used for correlation of TS mode image findings with pathology by using HE and IHC slides of lung tumor and lymph node.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
20

participants targeted

Target at below P25 for not_applicable lung-cancer

Timeline
Completed

Started Jul 2017

Shorter than P25 for not_applicable lung-cancer

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

July 12, 2017

Completed
4 months until next milestone

First Submitted

Initial submission to the registry

November 13, 2017

Completed
16 days until next milestone

First Posted

Study publicly available on registry

November 29, 2017

Completed
5 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 1, 2018

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 1, 2018

Completed
Last Updated

May 4, 2018

Status Verified

May 1, 2018

Enrollment Period

10 months

First QC Date

November 13, 2017

Last Update Submit

May 1, 2018

Conditions

Keywords

lobectomy

Outcome Measures

Primary Outcomes (1)

  • To analyze the relationship of three spectral features of the radiofrequency of lung tumors in ex-vivo human lungs.

    From obtained ultrasound images, a linear regression line is quantified, and three ultrasonic spectral parameters including Midband-fit, Intercept, and Slope are calculated.

    Within an hour after resection.

Secondary Outcomes (2)

  • To find the correlation of TS mode image findings with pathology by using lung tumor and lymph node samples.

    Within an hour after resection

  • To clarify the feasibility of using the conventional EBUS scope to visualize solitary pulmonary nodules in an ex-vivo human lung.

    Within an hour after resection

Study Arms (1)

Ex-Vivo

EXPERIMENTAL
Device: Spectrum Analysis

Interventions

The ultrasound probe will be placed on the lung surface in several different directions to obtain the cross section with maximum diameter. Three spectral parameters including midband-fit (dB), intercept (dB), and slope (dB/MHz) will be calculated and compared between the tumor and the lung.

Ex-Vivo

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Any patients scheduled for lobectomy of anatomical segmental resection for malignant lung tumors.
  • years of age or older

You may not qualify if:

  • Any patients with inability to give informed consent.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Toronto General Hospital

Toronto, Ontario, M5G 2C4, Canada

Location

MeSH Terms

Conditions

Lung Neoplasms

Interventions

Spectrum Analysis

Condition Hierarchy (Ancestors)

Respiratory Tract NeoplasmsThoracic NeoplasmsNeoplasms by SiteNeoplasmsLung DiseasesRespiratory Tract Diseases

Intervention Hierarchy (Ancestors)

Chemistry Techniques, AnalyticalInvestigative Techniques

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

November 13, 2017

First Posted

November 29, 2017

Study Start

July 12, 2017

Primary Completion

May 1, 2018

Study Completion

May 1, 2018

Last Updated

May 4, 2018

Record last verified: 2018-05

Data Sharing

IPD Sharing
Will not share

Plan on sharing data at the time of manuscript publication.

Locations