ProstateAnalyzer: Web-based medical application for the management of prostate cancer using multiparametric MR imaging - Abstract

Objectives: In this paper, we present ProstateAnalyzer, a new web-based medical tool for prostate cancer diagnosis.

ProstateAnalyzer allows the visualization and analysis of magnetic resonance images (MRI) in a single framework.

Methods: ProstateAnalyzer recovers the data from a PACS server and displays all the associated MRI images in the same framework, usually consisting of 3D T2-weighted imaging for anatomy, dynamic contrast-enhanced MRI for perfusion, diffusion-weighted imaging in the form of an apparent diffusion coefficient (ADC) map and MR Spectroscopy. ProstateAnalyzer allows annotating regions of interest in a sequence and propagates them to the others.

Results: From a representative case, the results using the four visualization platforms are fully detailed, showing the interaction among them. The tool has been implemented as a Java-based applet application to facilitate the portability of the tool to the different computer architectures and software and allowing the possibility to work remotely via the web.

Conclusion: ProstateAnalyzer enables experts to manage prostate cancer patient data set more efficiently. The tool allows delineating annotations by experts and displays all the required information for use in diagnosis. According to the current European Society of Urogenital Radiology guidelines, it also includes the PI-RADS structured reporting scheme.

Written by:
Mata C, Walker PM, Oliver A, Brunotte F, Martí J, Lalande A.   Are you the author?
Department of Computer Architecture and Technology, University of Girona, Girona, Spain.

Reference: Inform Health Soc Care. 2015 Feb 24:1-21.
doi: 10.3109/17538157.2015.1008488

PubMed Abstract
PMID: 25710606 Prostate Cancer Section


Newsletter subscription

Free Daily and Weekly newsletters offered by content of interest

The fields of GU Oncology and Urology are rapidly advancing. Sign up today for articles, videos, conference highlights and abstracts from peer-review publications by disease and condition delivered to your inbox and read on the go.