MedTrace Logo

Phenotyping Liver Cancer Registry

NCT04681274 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2429

Last updated 2023-05-16

No results posted yet for this study

Summary

The purpose of this study is the development of a content-based image retrieval (CBIR) platform, where validation studies will be conducted for liver disease subtyping and hepatocellular carcinoma (HCC) phenotyping on images for use as diagnostic and prognostic markers of outcome in conjunction with large scale data registries and advanced predictive machine learning methodologies. The proposed objectives will deliver one or more fit-for-purpose non-invasive imaging-based methodologies to evaluate the presence, activity and type of HCC in clinical practice.

Conditions

Interventions

DEVICE

Image features extraction and clustering

The image processing operations required for local content-based image feature extraction consist of two main tasks: 1) tiling the images in smaller VOIs, typically a small cube, whose size depends on the modality, on the image resolution and on the purpose of the content-based query, and 2) performing feature extraction operations on the VOIs. The Feature Extraction Engine performs totally unsupervised, automatic and asynchronous extractions of features from the images, organizes and indexes them in a no-SQL database based on unique similarity metric. The results of this phase are a series of clusters of phenotype signatures.

DEVICE

Phenotype signature database building

Since the clusters are self-organizing their pathophysiological meaning is not readily apparent and requires further analysis. The characterization of each cluster is performed by analyzing representative samples and their respective correlation with histopathology results. After a series of iterations, the clusters are organized to correlate with distinct tissue subtypes identified by their signature similarity. The final number of clusters is not known a priori and depends on the heterogeneity of the underlying imaging phenotypes.

Sponsors & Collaborators

  • Assistance Publique - Hôpitaux de Paris

    lead OTHER

Principal Investigators

  • Olivier Lucidarme, MD · Assitance Publique - Hôpitaux de Paris

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-08-31
Primary Completion
2022-10-01
Completion
2022-12-31

Countries

  • France

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 NCT04681274 on ClinicalTrials.gov