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Postoperative Pain of Robotic, Endoscopic and Open Lateral Neck Dissection

Shanghai Jiao Tong University logo

Shanghai Jiao Tong University

Status

Enrolling

Conditions

Thyroid Diseases
Surgery
Pain, Postoperative

Treatments

Other: Observations on postoperative pain intensity

Study type

Observational

Funder types

Other

Identifiers

NCT06803732
2025-KY-095(K)

Details and patient eligibility

About

Postoperative pain is a good indicator to confirm the advantages of the surgical methods in the era of minimally invasive surgery. Lateral neck dissection requires extensive dissection which may leads to postoperative numbness and pain. Robotic thyroid surgery has the advantage of precise and careful dissection and avoid the L-shape incision in the open approach. The study aims to explore the pain intensity and severity of lateral neck dissection on operation day, postoperative month 1 and postoperative month 3 among the robotic, endoscopic and open approach.

Enrollment

600 estimated patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients underwent lateral neck dissection via robotic, endoscopic or open approach
  • Clinical diagnosis of differentiated thyroid cancer
  • Clinical diagnosis of metastatic lateral lymph nodes

Exclusion criteria

  • Participants with distant metastasis
  • Participants with history of neck surgery or radiation
  • Participants with vocal fold fixation by preoperative fibrolaryngoscope

Trial design

600 participants in 3 patient groups

Robotic group
Description:
Patients underwent lateral neck dissection via robotic approach
Treatment:
Other: Observations on postoperative pain intensity
Endoscopic group
Description:
Patients underwent lateral neck dissection via endoscopic approach
Treatment:
Other: Observations on postoperative pain intensity
Open group
Description:
Patients underwent lateral neck dissection via open approach
Treatment:
Other: Observations on postoperative pain intensity

Trial contacts and locations

1

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Central trial contact

Ling Zhan

Data sourced from clinicaltrials.gov

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