Quantitative Endoscopy of H&N

NCT ID: NCT02704169

Last Updated: 2022-10-19

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

PHASE2

Total Enrollment

15 participants

Study Classification

INTERVENTIONAL

Study Start Date

2013-07-31

Study Completion Date

2019-08-12

Brief Summary

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The last decade has seen progressive advances in RT delivery, such as intensity modulated radiation therapy (IMRT)and image-guided radiation therapy (IGRT), which now allow highly precise radiation dose delivery. Together, IMRT and IGRT offer the potential of more selective treatment of the primary tumour and surrounding neck nodes by reducing the dose inflicted on critical organs at risk without compromising tumour dose and. IMRT has been shown to significantly decrease radiation-induced toxicity, and is now considered standard treatment for H\&N tumors. With these advances in delivery technology, the accurate definition of the target is emerging as the weakest link in the radiotherapeutic treatment chain. Accurate target definition is the primary link on which all subsequent treatment planning and delivery depend and is therefore critical for successful RT. Incorrect target definition can result in poorer outcomes through either less tumour control, more normal tissue toxicity, or both. Computed x-ray tomography (CT) is the standard volumetric imaging modality for RT because of its high resolution, accurate definition of anatomy and its intrinsic measure of electron density necessary for accurate dose calculation. However, its ability to distinguish between tumour and normal tissue is limited due to a lack of contrast for structures of similar electron density and image artifacts for objects of high density. This additional noise can result in large inter-observation variability. Disease visible on endoscopy can be contoured and registered to the planning CT, allowing inclusion of superficial disease invisible on the volumetric CT image dataset into the treatment plan.

Detailed Description

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Conditions

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Head and Neck Cancer

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Spatially registered endoscopy for H&N cancer

Group Type EXPERIMENTAL

Spatially registered endoscopy

Intervention Type OTHER

Interventions

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Spatially registered endoscopy

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Age ≥ 18 years
* Histologic diagnosis of squamous cell carcinoma
* Primary cancer of the H\&N
* Intention to treat using external beam radiation therapy as part of standard radiotherapy.
* Ability to provide written informed consent to participate in the study

Exclusion Criteria

* Prior complete or partial radiation therapy to H\&N
* Prior complete or partial surgery of the tumour
* Contraindications to full dose radiation therapy including pregnancy, lactation, connective tissue disorders, serious co-morbid illness
* Concurrent illness or condition that precludes subject from undergoing endoscopy or CT scanning
* Psychiatric or addictive disorders that preclude informed consent or adherence to protocol
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Princess Margaret Hospital, Canada

OTHER

Sponsor Role collaborator

University Health Network, Toronto

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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John Cho, MD

Role: PRINCIPAL_INVESTIGATOR

The Princess Margaret Cancer Foundation

Locations

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Princess Margaret Cancer Centre

Toronto, Ontario, Canada

Site Status

Countries

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Canada

References

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Shi RB, Mirza S, Martinez D, Douglas C, Cho J, Irish JC, Jaffray DA, Weersink RA. Cost-function testing methodology for image-based registration of endoscopy to CT images in the head and neck. Phys Med Biol. 2020 Nov 13;65(20). doi: 10.1088/1361-6560/aba8b3.

Reference Type DERIVED
PMID: 32702685 (View on PubMed)

Other Identifiers

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UHN REB 13-5914-C

Identifier Type: -

Identifier Source: org_study_id

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