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Updated: May 20, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Improving knowledge management through the support of image examination and data annotation using DICOM structured

José Salavert Torres¹, J Damian Segrelles Quilis, Ignacio Blanquer Espert

¹Members of the Institute for Molecular Imaging Technologies (I3M), Universitat Politècnica de València (UPV), Camino de Vera s/n, 46022 Valencia, Spain.

Journal of Biomedical Informatics

|July 31, 2012

Summary

This study introduces a web application prototype for breast cancer diagnosis using TRENCADIS middleware. It improves information management for medical imaging and reports, enhancing diagnostic decisions.

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Area of Science:

Medical Imaging Informatics
Health Informatics
Radiology Information Systems

Background:

Improving medical image diagnosis relies on integrating imaging data and reports.
The DICOM standard facilitates widespread solutions in medical imaging.
Effective management of breast cancer patient data is crucial for diagnosis and follow-up.

Purpose of the Study:

To design and deploy a web application prototype for enhanced breast cancer patient diagnosis and follow-on.
To leverage TRENCADIS middleware for a knowledge-oriented storage model of DICOM images and DICOM Structured Reports (DICOM-SR).
To utilize report content as metadata for efficient image indexing.

Main Methods:

Developed a web application prototype utilizing TRENCADIS middleware and Grid technologies.
Implemented a knowledge-oriented storage model with federated repositories for DICOM studies and DICOM-SR reports.
Deployed the prototype in a real hospital setting, integrating mammography, MRI, ultrasound, and biopsy data.

Main Results:

The system provides radiologists with a tool for creating, storing, and searching breast cancer diagnostic reports.
Enhanced multi-resource grid services enable multiple views of the knowledge database.
Achieved more structured information, clearer logic, reduced network messages, and improved system fault tolerance.

Conclusions:

The deployed web application prototype successfully improves breast cancer diagnostics support.
TRENCADIS middleware and Grid technologies offer a robust solution for managing complex medical data.
The system enhances diagnostic decision-making by providing structured and easily searchable patient information.