Clinical trial · Observational
Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis
A Novel Raman Spectroscopy-Based Method for Pan-Cancers Early Diagnosis Supported by Deep Learning: A Prospective, Single-Arm, Multicentre Study
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The goal of this observational study is to explore whether a Raman-based, deep learning-assisted approach can be used to develop an effective method for early pan-cancer screening. The study includes healthy individuals, patients at risk of cancer, and patients with diagnosed cancers. The main questions it aims to answer are: * Evaluating the deep-learning model's accuracy and specificity in identifying cancer-specific features in Raman spectral data and determining whether this method can accurately classify patients based on risk. * Identifying which model is more adaptable to the Raman spectrum * Providing an interpretable analysis of the model-generated diagnosis Participants are already being diagnosed and follow-up to determine the type of cancer.
Conditions
Conditions (17)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Adenoma Colon Polyp | — | UNRESOLVED | — |
| Cancer Diagnosis | — | UNRESOLVED | — |
| Cancer Screening | — | UNRESOLVED | — |
| Cirrhoses, Liver | — | UNRESOLVED | — |
| Colorectal Cancer (CRC) | Malignant Colorectal Neoplasm | CURATED_BROADER | 0.80 |
| Deep Learning Model | — | UNRESOLVED | — |
| Esophageal Cancer | Malignant Esophageal Neoplasm | CURATED_EXACT | 0.92 |
| Gastric Cancers | Malignant Gastric Neoplasm | CURATED_BROADER | 0.80 |
| Gastric Ulcer | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| No Interventions | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (11)
- label
- Normal Physiology
- description
- Patients without cancers or precancerous lesion
- interventionNames
- Other: No Interventions
- label
- Colorectal Cancer
- description
- Patients diagnosed with colorectal cancer (Pre-intervention)
- interventionNames
- Other: No Interventions
- label
- Gastric Cancer
- description
- Patients diagnosed with gastric cancer (Pre-intervention)
- interventionNames
- Other: No Interventions
- label
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * Histopathological diagnosis of malignant tumors, including colorectal cancer, gastric cancer, hepatic cancer, pancreatic cancer, and esophageal cancer. * Patients in normal physiological conditions without any malignant tumors or precancerous lesions. * Patients with malignant tumor without recieving any interventions, including chemotherapy, surgery, radiotherapy, immunotherapy or other anti-tumor treatments. * Patients with a histopathological diagnosis of any precancerous lesions or non-malignant disease. Exclusion Criteria: * Patients with metastatic tumors or in the condition with two or more kinds of malignant tumors at the same time * Post-cancer treatment patients.
References
Publications (0)
Data not yet available