NCT06822413Recruiting
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 · Last updated 24 Apr 2025 · Not updated for over 12 months - ask the site whether it is still open
Brief summary (registry, in English)
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.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 600 (estimated)
- First submitted
- 5 Feb 2025
- Start date
- 1 Sept 2022
- Primary completion date
- 15 May 2025
- Lead sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
- Diseases
- Pancreatic cancer, Colorectal cancer, Liver and biliary tract cancer, Gastric and esophageal cancer, Childhood cancers
- NCT number
- NCT06822413
What you commit to
- Study type: Observational
- Planned participants: 600
- From 1 Sept 2022 to the primary completion date, 15 May 2025
- 4 sites in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study design.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Patients with metastatic tumors or in the condition with two or more kinds of malignant tumors at the same time
- Post-cancer treatment patients.
Who the study is looking for
- 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.
Sex: All · Accepts healthy volunteers
Sites (4)
Sites in registry order. Save your city in your profile to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| The Second Affiliated Hospital of Zhejiang University School of Medicine Coordinator of this site? Confirm its status | Hangzhou | China | Recruiting |
| The First Affiliated Hospital to Nanchang University Coordinator of this site? Confirm its status | Nanchang | China | Recruiting |
| The Second Affiliated Hospital to Nanchang University Coordinator of this site? Confirm its status | Nanchang | China | Recruiting |
| Huashan Hospital Affiliated to Fudan University Coordinator of this site? Confirm its status | Shanghai | China | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.