Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems

Area of Science:

• Radiology
• Medical Informatics

Background:

• Structured reporting (SR) in radiology offers benefits but faces challenges like user resistance, potential for errors, and lack of multilingual support.
• Existing SR systems may have limitations including increased reporting time and irrelevant template information.

Purpose of the Study:

• To develop and evaluate a web-based structured reporting system designed to overcome the identified limitations of traditional SR.
• To enhance accuracy, efficiency, and adaptability of radiological reports.

Main Methods:

• Implementation of a web-based SR system with field validators and logical rules to prevent errors and automate calculations.
• Integration of SR templates as plugins (IHE MRRT and RSNA Radreport compliant) with seamless PACS/RIS connectivity.
• Development of natural language generation for multilingual report adaptation.

Main Results:

• The system successfully mitigates common SR limitations, including error reduction and improved consistency.
• Demonstrated capability in managing quantitative imaging biomarkers alongside qualitative radiological data, exemplified by a prostate cancer SR template with PI-RADS 2.1.
• The system is currently deployed in 37 institutions, utilizing 24 SR templates.

Conclusions:

• The developed web-based SR system effectively addresses key limitations of structured reporting in radiology.
• The system offers a robust solution for improving accuracy, efficiency, and user experience in radiological reporting across diverse healthcare settings.