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Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis

Recruitingn/aAges any - anyAllSecond Affiliated Hospital, Zhejiang University, …
NCT06822413 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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.

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📋 Eligibility rules (as published)
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.
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What it tests

  • No Interventions
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Where

4 sites
The First Affiliated Hospital to Nanchang University
Nanchang, China
The Second Affiliated Hospital to Nanchang University
Nanchang, China
Huashan Hospital Affiliated to Fudan University
Shanghai, China
The Second Affiliated Hospital of Zhejiang University School of Medicine
Hangzhou, China
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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