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

NCT06822413 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 600

Last updated 2025-04-24

No results posted yet for this study

Summary

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

  • Cancer Diagnosis
  • Liver Cancer, Adult
  • Cancer Screening
  • Colorectal Cancer (CRC)
  • Gastric Cancers
  • Normal Physiology
  • Pancreatic Cancer, Adult
  • Raman Spectroscopy
  • Deep Learning Model
  • Esophageal Cancer
  • Malignant Tumours
  • Precancerous Conditions
  • Pancreatitis
  • Adenoma Colon Polyp
  • Gastric Ulcer
  • Oesophagitis
  • Cirrhoses, Liver

Interventions

OTHER

No Interventions

All blood samples from participating patients were obtained from routine clinical blood tests conducted during hospital admission or other necessary medical evaluations, followed by serum extraction.

Sponsors & Collaborators

  • The First Affiliated Hospital of Nanchang University

    collaborator OTHER

  • Second Affiliated Hospital of Nanchang University

    collaborator OTHER

  • Huashan Hospital

    collaborator OTHER

  • Second Affiliated Hospital, School of Medicine, Zhejiang University

    lead OTHER

Principal Investigators

  • Kefeng Ding, MD · Department of Colorectal Surgery, The Second Hospital of Zhejiang University School of Medicine

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-09-01
Primary Completion
2025-05-15
Completion
2025-07-28

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06822413 on ClinicalTrials.gov