Gastrointestinal Cancer Clinical Trial
Official title:
Using a Diffuse Reflectance Spectroscopy Probe In-vivo to Identify Tumour and Non-tumour Tissue in the Gastrointestinal Tract to Aid Margin Assessment
NCT number | NCT05830292 |
Other study ID # | 21SM7016 |
Secondary ID | |
Status | Recruiting |
Phase | N/A |
First received | |
Last updated | |
Start date | May 20, 2022 |
Est. completion date | April 1, 2024 |
A spectroscopic probe is a sensor designed to illuminate and gather light directly from the tissue while touching it. The probe contains optical fibres, some which illuminate the surface of the tissue with harmless visible (white) light, and others that collects the light that has been reflected from inside the tissue. As the investigators track the position of the probe, they can create spectroscopic images with richer colour information, allowing surgeons to differentiate between different types of tissue, such as normal or cancerous regions. The spectroscopic probe, either sterilised or covered with a sterile probe cover, will be used on the tissue as part of the patient's operation, inside the body itself. The tissue will be sampled using the spectroscopic probe before the surgeons remove the tissue from the body. The research team will be in the operating theatre. The surgeon or a member of the research team will use the optical probe on the tissue samples. This will involve taking pictures and videos of the sample while the research team scan the samples with the spectroscopic probe.
Status | Recruiting |
Enrollment | 20 |
Est. completion date | April 1, 2024 |
Est. primary completion date | January 1, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 99 Years |
Eligibility | Inclusion Criteria: - Patients undergoing primary upper GI cancer resection surgery - Patients undergoing primary lower GI (colorectal) cancer resection surgery - Patients >18 years of age - Patients who consent to take part in the study Exclusion Criteria: - Patients who do not consent to the study or decline to participate - Patients who do not meet the inclusion criteria - Patients who lack capacity - Patients undergoing emergency lower or upper GI cancer surgery - Patients undergoing re-operation for cancer surgery - Pregnant women |
Country | Name | City | State |
---|---|---|---|
United Kingdom | Imperial College NHS Trust | London |
Lead Sponsor | Collaborator |
---|---|
Imperial College London | Cancer Research UK, National Institute for Health Research, United Kingdom |
United Kingdom,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Diagnostic accuracy of DRS probe to differentiate normal versus tumour tissue in vivo | A user interface has been developed using Python 3.6 and Qt5 to integrate the acquisition and processing of the spectral data, as well as the tracking of the DRS fibre probe. Python 3.6 will be used for data processing, visualisation, Machine Learning classification and statistical analysis.
A linear Support Vector Machine (SVM) will be used for classification of the spectral data. Machine Learning classifiers will be used for calculating sensitivity, specificity, overall accuracy and the area under the curve (AUC). Receiver-operator characteristics (ROC) curves will be plotted. In addition, one-dimensional convolutional neural networks will be developed and may be used. Real-time tissue classification will be presented on the user interface when using the DRS probe. Real-time tracking at each optical biopsy site coupled with the binary classification probability of each site will be visualised as either normal or tumour tissue using a graduated colour map. |
Through study completion - 2 years. | |
Secondary | Feasibility of DRS probe to differentiate normal versus tumour tissue in vivo | The feasibility of the DRS probe will be assessed using the QUEST 2 or USE questionnaire. This will ascertain whether it is feasible to apply it as a tool in the surgical workflow in future randomised clinical trials.
This will include understanding its usefulness, ease of use, ease of learning and satisfaction. The scale of the questionnaire will be qualitative from 'strongly agree' to 'strongly disagree'. The questionnaire will be formed on Qualtrics platform and sent to theatre staff using the DRS probe and system via email. |
Over study period - 2 years |
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