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

A Mañas-García^1,2, I González-Valverde³, E Camacho-Ramos³

¹Dept. Computer and Communication Systems and Health Technology Economics, Universitat Politècnica de València, Valencia, Spain. almaaga1@upv.es.

Journal of Digital Imaging

|February 2, 2022

Summary

This summary is machine-generated.

This study introduces a web-based structured reporting (SR) system to address limitations in radiology reporting. The system enhances accuracy, efficiency, and multilingual support, improving the overall quality of radiological reports.

Keywords:

IHE MRRT profile Imaging biomarkers PACS integration Scoring systems Structured reporting

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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.