AzTrials
AzTrials

Lung CancerNCT05899270

3D-printed Reconstruction Automated Matching System Predicts Size of Double-lumen Tube: a Prospective Double-blinded Randomized Controlled Trial

A study testing 3D reconstruction automatic matching system and traditional method for selecting double lumen tube in people with Lung Cancer and Lung Diseases, run by Sichuan Cancer Hospital and Research Institute.

Unknown status

Status not confirmed. The sponsor has not verified this record for over two years, so it may be out of date.

Official record
Search all trials

Trial summary

Lung isolation techniques are commonly used to facilitate surgical exposure and to provide single-lung ventilation for patients. We have developed an automatic comparison software for 3D reconstruction based on CT data (3DRACS). Read more about this study

Who is it for?
Ages 18 to 75 years
What is being tested?
3D reconstruction automatic matching system and traditional method for selecting double lumen tube
Could I receive a placebo?
Yes, some participants may receive a placebo
How many people
200 participants
Where
No sites listed yet
Study dates
1 Nov 2023to 30 Mar 2024
Phase
Interventional
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 75 years
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Who may be able to join

  • Aged between 18 and 75 years.
  • American Society of Anesthesiologists Physical Status (ASA-PS) I-III.
  • Planned to receive lung resection surgery during lung isolation techniques by using DLT.
  • Signed informed written consent.

Who cannot join

  • The participant experiences any of the following:
  • Spinal malformation,
  • Expected difficult airway
  • Tracheal stenosis
  • Tracheal tumor
  • Bronchial tumor
  • Distorted airway anatomy
  • Tumors of the mouth or neck

Trial locations and contacts

No sites are listed yet.

Xin Wang, master contact

+8685420443

675202449@qq.com

About this study

Official title: Effect of 3D-printed Reconstruction Automated Matching System in Size Selection of Double-lumen Tube:a Prospective Double-blinded Randomised Controlled Trial

Lung isolation techniques are commonly used to facilitate surgical exposure and to provide single-lung ventilation for patients. We have developed an automatic comparison software for 3D reconstruction based on CT data (3DRACS). It reconstructs the trachea and bronchus and compares them with the DLT, predicting the most suitable size and depth of the DLT for lung isolation.The aim of this study was to compare whether the use of 3DRACS to select a DLT size compared to conventional empirical selection methods could improve incidence of DLT intubation success and reduce airway injury.

Read the detailed description

Lung isolation techniques are commonly used to facilitate surgical exposure and to provide single-lung ventilation for patients undergoing various intra-thoracic procedures. Lung isolation is primarily accomplished with a double-lumen tube (DLT) or bronchial blocker. One published study showed that residents with limited experience had a 40% error rate in accurately placing a DLT. The accurate choice of the size of DLT is a prerequisite for good lung isolation.Currently, There is lack of proper objective criteria for selecting size of DLT. DLT size selection is estimated empirically using the patient's height and sex, and studies have shown that the size of DLT according CT images of the chest is more accurate than experience. we have developed an automatic comparison software for 3D reconstruction based on CT data (3DRACS). It reconstructs the trachea and bronchus and compares them with the DLT, predicting the most suitable size and depth of the DLT for lung isolation. The aim of this study was to compare whether the use of 3DRACS to select a DLT size compared to conventional empirical selection methods could improve incidence of DLT intubation success and reduce airway injury.

Being tested
3D reconstruction automatic matching system, traditional method for selecting double lumen tube
Medical subject headings
Lung Neoplasms, Lung Diseases, Wounds and Injuries

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • 3D reconstruction automatic matching systemOther

    it is an automatic comparison software for 3D reconstruction based on CT data (3DRACS). It reconstructs the trachea and bronchus and compares them with the DLT, predicting the most suitable size and depth of the DLT for lung isolation.

  • traditional method for selecting double lumen tubeOther

    In control group, the size of DLT is based on patient's sex and weight and the height is used to guide the depth of DLT insertion.

Study groups in NCT05899270
Study groupRoleWhat they receive
3D groupExperimentalIn 3D group, the investigator will intubate using DLT chosen by an automatic comparison software for 3D reconstruction based on CT data (3DRACS).
Receives: Other: 3D reconstruction automatic matching system
control groupPlacebo comparatorIn control group, the size of DLT is based on patient's sex and weight and the height is used to guide the depth of DLT insertion.
Receives: Other: traditional method for selecting double lumen tube

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Incidence of correct endobronchial intubation.

    Conventional blindly endobronchial intubation is performed firstly and clinical verification was made by the same anesthesiologist, followed by the supervising anesthesiologist using a FOB to check DLT position and successful intubation was considered if the position was proper.

    Measured: after intubation

Secondary outcomes (6)
  1. Time to successful intubation

    after completion of induction, the vocal cords are exposed using visual laryngoscopy and Cormack-Lehane grading is performed. The stopwatch is timed as soon as the cuff of DLT crosses the vocal cords and it stops when (1) intubating anesthesiologist consider the DLT is correctly positioned, (2) after a maximum of three attempts have been made, (3) the intubating anesthesiologist think DLT placed correctly is impossible. Each attempt is defined as returning the bronchial lumen of the DLT to the trachea and then attempting to reinsert it. If the DLT is unsuccessfully placed, the intubation will be performed under FOB guidance by the supervising anesthesiologist. This intubation time of supervising anesthesiologist is also counted as part of the successful intubation time.

    Measured: after intubation

  2. Degree of pulmonary atrophy

    it is a subjective score of 0-10 by the surgeon, ten mean very perfect, zero represent no pulmonary atrophy at all.

    Measured: after surgery begin

  3. Grading of airway injury

    an anesthesiologist over 10 years of FOB experience will assess tracheal and vocal cord related injuries from DLT intubation. Before DLT is prepared to extubation, FOB will be inserted into the bronchial lumen and the tracheal injury will be observed through the FOB along with DLT extubated. All images from the FOB assessment are saved as a video and it will be viewed are by another blinded endoscopist to assess the injury of vocal cords. The severity of tracheal injury was defined as follows: mild (redness, oedema, one to three speckled haemorrhagic lesions), moderate (over 3 mild lesions or one diffuse haemorrhagic lesion) and severe (more than 2 diffuse haemorrhagic lesions). With regard to the vocal cords, the types of lesions are classified as follows: (1) oedema, swelling of the mucosa; (2) petechiae, small red spots on the mucosa; (3) haematoma, bleeding into the mucosa.

    Measured: When extubation

  4. Postoperative sore throat and hoarseness

    sore throat is defined as persistent resting pain in the throat region, and throat pain scores were assessed by VAS score (0: no pain; 10: the most unbearable pain). Hoarseness is defined as a change in the quality of voice noted by the patient.

    Measured: At 1 hour and 24 hours after extubation

  5. Oxygenation during one-lung ventilation

    it is defined as the area under the curve of the SpO2/FiO2 ratio during OLV. The SpO2 and FiO2 values are automatically collected by the monitor at 30 second intervals and any abnormal data due to equipment or human error will be replaced with the previous correct data.

    Measured: Intraoperative(from beginning of one lung ventilation to end),an average of 2 hours

  6. Account times of using FOB

    it was defined that FOB was inserted into the tracheal tube and then withdrawn from the tracheal tube from induction to extubation.

    Measured: During surgery (from induction to extubation), an average of 3 hour

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted12 Jun 2023
  2. Study start1 Nov 2023 (estimated)
  3. Primary completion30 Nov 2023 (estimated)
  4. Study completion30 Mar 2024 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Treatment
Allocation
Randomised
Intervention model
Parallel groups
Model description
Participates recruited from Sichuan Cancer Hospital will randomized to 3D group and control group in 1:1 ratio via a random number list generated by a computer.
Masking
Quadruple blind
Who is masked
Participant, Care provider, Investigator, Outcomes assessor
Enrolment
200 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT05899270
Sponsor's protocol ID
SCCHEC-02-2022-155
Status last verified
Jun 2023
First submitted
17 May 2023
Last updated
12 Jun 2023
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Yes: Data are available on reasonable request. The raw data are available from the corresponding author with applicable reason after publishing findings to a peer-reviewed journal.

Questions about this trial

What is this clinical trial studying?

A study testing 3D reconstruction automatic matching system and traditional method for selecting double lumen tube in people with Lung Cancer and Lung Diseases, run by Sichuan Cancer Hospital and Research Institute.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 4 inclusion and 8 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: status not confirmed, as of the sponsor's last update on 12 Jun 2023. Status can change between updates, so confirm with the study contact before making plans.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

Contact Xin Wang, master (+8685420443, 675202449@qq.com), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Incidence of correct endobronchial intubation. (time frame: after intubation). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 12 Jun 2023; AzTrials last refreshed its copy on 6 Nov 2026.

Free account

Log in to keep searching

You’ve used your 3 free searches. AzTrials is free: log in or create a free account to keep searching clinical trials and save the ones you want to follow.

Create a free accountLog in