KNOAP Challenge and data management with XNAT


Published March 11, 2024

Join us for an afternoon of presentations from Euro-BioImaging users and image data/image analysis experts at our Nodes that will provide a compelling overview of the state-of-the-art in Image Data. At the Euro-BioImaging User Forum on Image Data, Jukka Hirvasniemi, Erasmus MC, Population Imaging Flagship Node, presents the KNee OsteoArthritis Prediction (KNOAP) challenge and how it made it possible to objectively compare methods for the prediction of incident symptomatic radiographic knee osteoarthritis.

What: Euro-BioImaging User Forum “Image Data”

When: March 26, 2024, from 14:00-17:00 CEST Where: Online

Full program

Register

Abstract

KNOAP Challenge and data management with XNAT

Jukka Hirvasniemi,

Erasmus MC, Population Imaging Flagship Node

Osteoarthritis is the most common joint disease which affects over 250 million people worldwide. Identification of subjects at high risk to develop knee osteoarthritis is important to prevent or slow down the disease process. The KNee OsteoArthritis Prediction (KNOAP) challenge (https://knoap2020.grand-challenge.org/) was organised to objectively compare methods for the prediction of incident symptomatic radiographic knee osteoarthritis within 78 months on a test set with blinded ground truth. The challenge participants were free to use any available data sources to train their models. A test set of 423 knees from the Prevention of Knee Osteoarthritis in Overweight Females (PROOF) study consisting of magnetic resonance imaging (MRI) and X-ray image data along with clinical risk factors at baseline was made available to all challenge participants through XNAT. The ground truth outcomes, i.e., which knees developed incident symptomatic radiographic knee osteoarthritis within 78 months, were not provided to the participants. The model with the highest area under the receiver operating characteristic curve (0.64) used deep learning to extract information from X-ray images combined with clinical variables. The KNOAP challenge established a benchmark for predicting incident symptomatic radiographic knee osteoarthritis. Accurate prediction of incident symptomatic radiographic knee osteoarthritis is a complex and still unsolved problem requiring additional investigation.


More news from Euro-BioImaging

Portuguese BIN Node staff with Ale and Erika

July 18, 2025

Visiting the Portuguese Brain Imaging Network (BIN) Node

In June 2025, some of the Euro-BioImaging Hub staff attended the Annual congress of the European Association for Cancer Research (EACR) in Lisbon,…

Four Shades of Pollen Allergy, by Tomáš Figura, Faculty of Science, Charles University, Prague, Czechia

July 17, 2025

Congratulations to the winners of the “Spring” imaging contest

We are delighted to announce the winners of the “Spring” round of our Four Seasons of the Invisible Imaging Contest. Launched in March 2025,…

Sylvia Le Devedec Mentoring masterclass EVOLVE

July 15, 2025

EVOLVE Mentoring Masterclass: A FAIR vision on imaging core facilities from Sylvia E. Le Dévédec

As part of the EVOLVE Mentoring Masterclass series, Euro-BioImaging was proud to host Dr. Sylvia E. Le Dévédec on June 23, 2025, to share…