Pre-Op MRI for HPV+ Tonsillar Squamous Cell Carcinoma

This study is looking at whether a special type of MRI scan before surgery can help predict how much healthy tissue will be around the tumor after transoral robotic surgery (TORS) for HPV-positive tonsil cancer. You would have a standard MRI, but with an extra 6 minutes of specific imaging sequences (T2 and T2 SPACE). Doctors will then use these images to grade the muscle around your tonsils. The goal is to see if this MRI grading can accurately tell if the surgical edges (margins) will be clear of cancer, or if there might be cancer cells left behind, which could help avoid extra treatments later. This study is for adults aged 18 and older who are considering TORS for HPV-positive tonsil cancer.

Study design
This is an interventional study planning to enroll 30 participants. It is designed to see if adding specific MRI sequences can improve predictions for surgical outcomes.
What's involved
You would undergo a standard MRI scan with an additional 6 minutes of specialized imaging sequences. The study does not specify further visits or procedures.
Compensation
Not stated in the trial record.
Follow-up
The primary outcome, accuracy of the MRI score, is measured at the perioperative (around the time of surgery) period. No longer-term follow-up is specified.

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NCT07060261

Pre-Op MRI on Margin Status for Transoral Robotic Surgery for HPV+ Tonsillar Squamous Cell Carcinoma

Recruiting
NAAges 18+InterventionalDiagnostic
Case Comprehensive Cancer Center
~30 participants
Updated 2026-05-05 on ClinicalTrials.gov
What's tested:Transoral robotic surgery+MRI

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Accuracy as assessed by 5-point MRI score
Measured over Perioperative
Human Papilloma Virus Related Carcinoma
Tonsillar Squamous Cell Carcinoma
1 sites across 1 states
Ohio1

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  • Accuracy as assessed by 5-point MRI scorePerioperative

    Accuracy will be summarized using the area under the receiver operating characteristics curve (AUC)