Clinical trial NCT02704169: Quantitative Endoscopy of H&N
Official title: Comparing GTV Delineation With and Without Spatially Registered Endoscopy
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: PHASE2
Conditions: Head and Neck Cancer
Keywords: head and neck cancer
H&N cancer
Lead sponsor: University Health Network, Toronto
Sponsor class: OTHER
Collaborators: name: Princess Margaret Hospital, Canada
First posted: 2016-03-09
Enrollment: 15
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: NA
Intervention model: SINGLE_GROUP
Primary purpose: DIAGNOSTIC

Brief summary: 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.


Eligibility criteria: 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

Primary outcomes:
measure: Difference between endoscopic gross tumor volume contours (GTV-endo) and standard gross tumor volume contours (GTV-std)
timeFrame: 18 months
measure: Difference between inter-observer variation (V) of endoscopic gross tumor volume and of standard gross tumor volume
timeFrame: 18 months
Secondary outcomes:
measure: Difference between dose distribution using endoscopic gross tumor volume and using standard gross tumor volume
timeFrame: 18 months
Other outcomes:
Locations:
city: Toronto
country: Canada
facility: Princess Margaret Cancer Centre
state: Ontario
Study officials:
affiliation: The Princess Margaret Cancer Foundation
name: John Cho, MD
role: PRINCIPAL_INVESTIGATOR
References:
citation: 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.