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MSOT Using Cetuximab-800CW for Detection of Cervical Lymph Node Metastases

NCT03923881 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 20

Last updated 2021-05-03

No results posted yet for this study

Summary

The presence of lymph node metastasis is an important factor in determining the appropriate treatment plan in patients with OSCC. However, detection of lymph node metastases by means of current imaging modalities is limited. 20-30% of patients with a clinically negative neck (cN0) harbour lymph node metastasis that were not detected during clinical diagnostic workup, which are referred to as occult lymph node metastasis. Therefore, patients with a risk of lymph node metastasis higher than 20% undergo a sentinel node procedure (SNP) or elective neck dissection (END), which means that a substantial part of patients is overtreated. There is need for an additional non-invasive diagnostic tool that can identify lymph node metastasis and thereby support the decision making for treatment of the neck.

The main objective of this study is to evaluate if EGFR-positive cervical lymph node metastasis can be detected non-invasively with multispectral optoacoustic imaging using cetuximab-800CW as contrast agent in patients with oral squamous cell carcinoma.

Conditions

  • Oral Cancer
  • Lymph Node Metastases

Interventions

DEVICE

MSOT Acuity Echo

Optoacoustic imaging with the MSOT Acuity Echo

Sponsors & Collaborators

  • University Medical Center Groningen

    lead OTHER

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-04-11
Primary Completion
2021-07-30
Completion
2021-09-30

Countries

  • Netherlands

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03923881 on ClinicalTrials.gov