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A prospective pilot study using Raman spectroscopy and machine learning to predict dMMR in colorectal cancer tissue

A prospective pilot study using Raman spectroscopy and machine learning to predict dMMR in colorectal cancer tissue

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0010581
Enrollment
25
Registered
2025-06-04
Start date
2025-06-06
Completion date
Unknown
Last updated
2025-06-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

National Cancer Center
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: - Patients diagnosed with colon cancer and undergoing surgery - Age: 20 to 80 years old - Tumor size 3 cm or larger (if residual tissue can be utilized after surgical resection)

Exclusion criteria

Exclusion criteria: - Withdrawal of consent - In case of violation of selection/exclusion criteria - In case the researcher determines that the research is not appropriate to proceed

Design outcomes

Primary

MeasureTime frame
We aim to calculate the sensitivity and accuracy of the algorithm results using tissue spectroscopy for collected fresh-frozen tissues.—

Secondary

MeasureTime frame
We aim to calculate the specificity of the algorithm results using tissue spectroscopy for collected fresh-frozen tissues.—

Countries

Korea, Republic of

Contacts

Public ContactHong Rae Kim

National Cancer Center

hongrae@ncc.re.kr+82-31-920-2253

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026