3D Reconstruction in Video-assisted Thoracoscopic Surgery (VATS) Segmentectomy

NCT ID: NCT04004494

Last Updated: 2024-05-24

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

191 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-07-01

Study Completion Date

2023-12-31

Brief Summary

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Anatomical variations of pulmonary vessel may cause serious problems during pulmonary segmentectomy. Three-dimensional (3D)computed tomography (CT) presents 3D images of pulmonary vessels and the tracheobronchial tree and may help operative planning. Retrospective studies have identified the importance of 3-dimensional CT in the field of pulmonary segmentectomy. And the aim of this study is to compare the usefulness of 3-dimensional CT with standard chest CT in preoperative planning of video-assisted segmentectomy.

Detailed Description

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Lung cancer has been the most serious malignancy around the world which has the highest morbidity and mortality amount all the malignant tumors. Due to the wide spread of lung cancer screening, more and more early stage lung cancer patients have been diagnosed. Video-assisted segmentectomy is a standard surgical procedure in treating early stage peripheral non-small cell lung cancer (NSCLC). However, anatomical variations of pulmonary vessel may cause serious problems, for example unexpected bleed during surgery. Three-dimensional computed tomography (CT), which is reconstructed based on the standard chest CT image, presents 3D images of pulmonary vessels and the tracheobronchial tree and therefore helps operative planning. There are several retrospective studies addressed the importance of 3-dimensional CT in the field of pulmonary segmentectomy. And the aim of this multicenter randomized controlled trial is to compare the usefulness of 3-dimensional CT and standard chest CT in preoperative planning of video-assisted segmentectomy.

Conditions

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Segmentectomy

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Parallel Assignment
Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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3D Reconstruction

Chest contrast-enhanced computed tomography will be performed preoperatively, and 3-dimensional reconstruction will be formed based on the data of chest CT. Video-assisted segmentectomy will be performed guided by the image of 3-dimensional CT. IPS-lung software (Shenzhen Yorktal Digital Medical Imaging Technology Company, Shenzhen, China) will be used preoperatively to construct a 3D-image to ascertain the position and structure of targeted segmental blood vessels and bronchi.

Group Type EXPERIMENTAL

3D reconstruction

Intervention Type OTHER

3-dimensional computed tomography reconstruction guided VATS segmentectomy

Chest computed tomography

Chest contrast-enhanced computed tomography will be performed preoperatively. Video-assisted segmentectomy will be performed based on the image of preoperative chest CT

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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3D reconstruction

3-dimensional computed tomography reconstruction guided VATS segmentectomy

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

1. Age older than 18 years;
2. Pulmonary nodules or ground glass opacification (GGO) found in chest CT examination, and conform with indications for segmentectomy:

Peripheral nodule 0.8-2 cm with at least one of the following:

i. Histology of adenocarcinoma in situ; ii. Nodule has ≥50% ground-glass appearance on CT; iii. Radiologic surveillance confirms a long doubling time (≥400 days). Segmentectomy should achieve parenchymal resection margins ≥2 cm or ≥ the size of the nodule.
3. Adequate cardiac function, respiratory function, liver function and renal function for anesthesia and VATS segmentectomy.
4. American Society of Anesthesiologists (ASA) score: Grade I-III.
5. Patients who can coordinate the treatment and research and sign the informed consent.

Exclusion Criteria

1. Patients with a significant medical condition which is thought unlikely to tolerate the surgery. For example, cardiac disease, significant liver and renal function disorder.
2. Patients with psychiatric disease who are expected lack of compliance with the protocol.
3. Patients have history of chest trauma or surgery on ipsilateral chest which may cause pleural adhesion.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Union hospital of Fujian Medical University

OTHER

Sponsor Role collaborator

Guangdong Provincial People's Hospital

OTHER

Sponsor Role collaborator

Ruijin Hospital

OTHER

Sponsor Role lead

Responsible Party

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Hecheng Li M.D., Ph.D

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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He-Cheng Li, doctor

Role: STUDY_DIRECTOR

Ruijin Hospital

Locations

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Union Hospital of Fujian medical university

Fujian, Fujian, China

Site Status

Guangdong General Hospital

Guangdong, Guangdong, China

Site Status

Ruijin Hospital, Shanghai JiaoTong University School of Medicine

Shanghai, Shanghai Municipality, China

Site Status

Countries

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China

References

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Niu Z, Chen K, Jin R, Zheng B, Gong X, Nie Q, Jiang B, Zhong W, Chen C, Li H. Three-dimensional computed tomography reconstruction in video-assisted thoracoscopic segmentectomy (DRIVATS): A prospective, multicenter randomized controlled trial. Front Surg. 2022 Oct 13;9:941582. doi: 10.3389/fsurg.2022.941582. eCollection 2022.

Reference Type DERIVED
PMID: 36311929 (View on PubMed)

Other Identifiers

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RTS-008

Identifier Type: -

Identifier Source: org_study_id

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