NCT04974632

Brief Summary

It is well known that video-assisted thoracoscopic surgery (VATS) is preferred to open surgery for lung resection because of the smaller incisions and optimized postoperative recovery, including a shorter length of hospitalization and much decreased local tenderness. Studies have shown less operative and post-operative morbidity with decreased operative times. However, for small nodules (i.e. lesions \<1 cm or those at a distance more than 1.5cm from the lung periphery), adequate identification of the target nodule has been being difficult by VATS with necessity of more significant resection or thoracotomy conversion to ensure complete tumor resection. In order to improve nodule localization, a variety of preoperative localization methods such as CT-guide hook wire or methyl blue dye localization have been proposed. It has been proved to be much easier to mark lung nodules and help guide resection during VATS. However, there are certain concerns. First, it is difficult to minimize the time between the localization procedure and the subsequent surgery in reality. Second, there is concern for patient safety, in particular pneumothorax or hemothorax, during transferred to and from the ward to the radiology suit and in the frequent delays and waiting in reception areas prior to transfer to operating theaters. Finally, interdepartmental transfers and delays can also increase the risk of hook wire dislodgement. Theoretically, the aforementioned disadvantage could be solved by performing the localization procedure and the lung surgery in the same operating room environment. We performed single-step localization and removal of small pulmonary nodules in the hybrid OR equipped with floor-mounted C-arm cone-beam computed tomography (CBCT) in the previous study. However, it costed a lot of money and every localization could only be performed in the hybrid OR. Mobile 3D C-arm CT is another form of CBCT. It depicts soft tissues with high contrast but also offer a more affordable solution with relative low cost. In this case series, we will investigate the use of a mobile 3D C-arm CT for single-step localization and removal of small pulmonary nodules.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
41

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Jul 2021

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 1, 2021

Completed
20 days until next milestone

First Submitted

Initial submission to the registry

July 21, 2021

Completed
2 days until next milestone

First Posted

Study publicly available on registry

July 23, 2021

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 30, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2022

Completed
Last Updated

February 26, 2025

Status Verified

July 1, 2021

Enrollment Period

12 months

First QC Date

July 21, 2021

Last Update Submit

February 24, 2025

Conditions

Keywords

Lung tumormobile 3D C-arm computed tomography(CT)Video-assisted thoracoscopic surgery (VATS)

Outcome Measures

Primary Outcomes (2)

  • Procedure time

    Recording the time of localization procedure, including needle puncture time.

    from initiation of the procedure time (first time CT scanning) to the end (localization complete).

  • success rate of localization

    Recording the result of localization (success or not), the failure reason, and the deviation distance

    from initiation of localization to completion of surgery

Secondary Outcomes (2)

  • Radiation dose

    from initiation of the preprocedural CT scanning to the end of the postprocedural CT scanning, through study completion, an average of 1 year.

  • Complication rate

    from initiation of localization to completion of surgery

Study Arms (1)

localization

OTHER

small, deep or ground-glass opacity (GGO) lung tumor, Mobile 3D C-arm CT assisted pre-operative localization, video-assisted thoracic surgery(VATS)

Procedure: localization

Interventions

localizationPROCEDURE

small, deep or ground-glass opacity (GGO) lung tumor, Mobile 3D C-arm CT assisted pre-operative localization, video-assisted thoracic surgery(VATS)

localization

Eligibility Criteria

Age20 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • \<1 cm, those at a distance more than 1.5 cm from the lung periphery, or ground-glass opacity (GGO) lung lesion.

You may not qualify if:

  • Age \<20 serious pulmonary heart disease more than one tumors needed localization

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Chang Gung Memorial Hospital

Taoyuan District, 333, Taiwan

Location

Related Publications (27)

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    PMID: 26921886BACKGROUND
  • Fang HY, Cheng C, Chou PL, Chao YK. Feasibility and Efficacy of Mobile Three-Dimensional c-Arm Systems for Single-Stage Localization and Resection of Small Pulmonary Nodules: A Pilot Clinical Trial. Interdiscip Cardiovasc Thorac Surg. 2026 Jan 6;41(1):ivaf313. doi: 10.1093/icvts/ivaf313.

MeSH Terms

Conditions

Lung Neoplasms

Condition Hierarchy (Ancestors)

Respiratory Tract NeoplasmsThoracic NeoplasmsNeoplasms by SiteNeoplasmsLung DiseasesRespiratory Tract Diseases

Study Officials

  • Yin-Kai Chao, MD, Ph D

    Chang Gung Memorial Hospital

    STUDY CHAIR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
TREATMENT
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 21, 2021

First Posted

July 23, 2021

Study Start

July 1, 2021

Primary Completion

June 30, 2022

Study Completion

June 30, 2022

Last Updated

February 26, 2025

Record last verified: 2021-07

Data Sharing

IPD Sharing
Will not share

Locations