03100-A: The Use of Artificial Intelligence and Computed Tomography Image Features to Predict Sentinel Lymph Node Metastasis in Dogs with Oral Tumours

Grant Status: Open

Grant Amount: $11,492
Christopher Pinard, DVM; Ontario Veterinary College
December 1, 2022 - July 31, 2024

Sponsor(s):

Breed(s): -All Dogs
Research Program Area: Oncology
Donate to Support this Research Program Area

One Health: Yes

Abstract

One in four dogs will develop cancer in their lifetime and anywhere from 3 to 12% of these patients will develop oral cancers. It is common to evaluate for spread of cancer to lymph nodes. Identification and treatment of these affected nodes early in the disease process can improve survival. Traditional methods used to evaluate lymph node involvement can be difficult and unreliable. The gold standard approach is surgical removal of multiple lymph nodes in proximity to the primary tumour and histology. However, given the invasiveness and recovery required after such procedures, non-invasive methods are needed to help clinicians make treatment decisions. Radiomics describes the ability to use computer-based analysis to extract clinically-relevant data from diagnostic images, such as computed tomography (CT) scans.  The objective of this study is to identify radiomic biomarkers associated with lymph node status in dogs with oral cancers and to develop a radiomic model that can predict lymph node status. This approach could reduce the need for more invasive surgery and could aid clinical decision-making for veterinary oncologists. 

Help Future Generations of Dogs

Participate in canine health research by providing samples or by enrolling in a clinical trial. Samples are needed from healthy dogs and dogs affected by specific diseases.

Learn How to Help

Get Canine Health News:
Please leave this field empty
American Kennel Club Canine Health Foundation, Inc

8051 Arco Corporate Dr.
Suite 300
Raleigh, NC 27617
(888)-682-9696

Tax ID# 13-3813813

  

© 2021 AKC Canine Health Foundation | Privacy Policy | Site Map

Site by Blackbaud, Inc.