Health Condition 1: C189- Malignant neoplasm of colon, unspecified Health Condition 2: C20- Malignant neoplasm of rectum Health Condition 3: C19- Malignant neoplasm of rectosigmoidjunction
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: Adults above the age of 18 years Patients undergoing colonoscopy for any clinical indication Patients undergoing surgical removal of part of the colon for any clinical indication
Exclusion criteria
Exclusion criteria: Patients are not able to give consent. Emergency colonoscopy procedures. Hemodynamically unstable patients. Patients with serious comorbid illnesses preventing full colonoscopy from being performed.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The newly developed photoacoustic endoscopic probe can classify different tissue pathological conditions in colorectal mucosa by utilizing the distinct optical absorption properties of biomarkers such as collagen, NADH, elastin, and FAD. These biomarkers allow the probe to distinguish between normal, adenomatous, and carcinomatous tissues. Integrating machine learning into the system further enhances diagnostic accuracy by recognizing complex patterns in the spectral data, offering a non-invasive, real-time tool for early detection and improved treatment of colorectal cancer.Timepoint: Three years | — |
Secondary
| Measure | Time frame |
|---|---|
| This study has the potential for translation into clinical practice.Timepoint: 5 years | — |
Countries
India
Contacts
Manipal School of Life Sciences, Manipal Academy of Higher Education